From dc0b694edb18ff63c380b8a0d85e83ebe0a1ab87 Mon Sep 17 00:00:00 2001
From: "lucas.bruzzone" <lucasbruzzone97@gmail.com>
Date: Fri, 9 Nov 2018 18:22:34 -0300
Subject: [PATCH] Add Structure of Proyect
---
.../AlgoritmoGenetico/malva/.Rhistory | 0
.../AlgoritmoGenetico/malva/.cproject | 134 +
.../AlgoritmoGenetico/malva/.gitignore | 6 +
.../AlgoritmoGenetico/malva/.project | 79 +
.../AlgoritmoGenetico/malva/Makefile | 24 +
.../ProblemInstances/ATSP-instances/br17.atsp | 42 +
.../ProblemInstances/ATSP-instances/ft53.atsp | 220 +
.../ProblemInstances/ATSP-instances/ft70.atsp | 358 +
.../ATSP-instances/ftv170.atsp | 4882 +++++++++++++
.../ATSP-instances/ftv70.atsp | 849 +++
.../ATSP-instances/rbg323.atsp | 6467 +++++++++++++++++
.../ATSP-instances/ry48p.atsp | 200 +
.../ProblemInstances/DNAFA-instances/pbm.txt | 2 +
.../DNAFA-instances/score.txt | 39 +
.../DNAFA-instances/x60189_4.dat | 78 +
.../MAXSAT-instances/format.txt | 4 +
.../MAXSAT-instances/sat1.txt | 44 +
.../MAXSAT-instances/sat2.txt | 4301 +++++++++++
.../MTTP-instances/mttp100.dat | 307 +
.../MTTP-instances/mttp20.dat | 84 +
.../ONEMAX-instances/format.txt | 1 +
.../ONEMAX-instances/onemax10.txt | 1 +
.../ProblemInstances/RAS-instances/RAS10.txt | 2 +
.../ProblemInstances/RAS-instances/RAS20.txt | 2 +
.../ProblemInstances/RAS-instances/format.txt | 2 +
.../ProblemInstances/RND-instances/rnd149.txt | 1 +
.../SPHERE-instances/SPH10.txt | 2 +
.../SPHERE-instances/SPH20.txt | 2 +
.../SPHERE-instances/format.txt | 2 +
.../ProblemInstances/VRP-instances/format.txt | 3 +
.../VRP-instances/vrpinfo.txt | 47 +
.../ProblemInstances/VRP-instances/vrpnc1.txt | 52 +
.../VRP-instances/vrpnc10.txt | 201 +
.../VRP-instances/vrpnc11.txt | 122 +
.../VRP-instances/vrpnc12.txt | 102 +
.../VRP-instances/vrpnc13.txt | 122 +
.../VRP-instances/vrpnc14.txt | 102 +
.../ProblemInstances/VRP-instances/vrpnc2.txt | 77 +
.../ProblemInstances/VRP-instances/vrpnc3.txt | 102 +
.../ProblemInstances/VRP-instances/vrpnc4.txt | 152 +
.../ProblemInstances/VRP-instances/vrpnc5.txt | 201 +
.../ProblemInstances/VRP-instances/vrpnc6.txt | 52 +
.../ProblemInstances/VRP-instances/vrpnc7.txt | 77 +
.../ProblemInstances/VRP-instances/vrpnc8.txt | 102 +
.../ProblemInstances/VRP-instances/vrpnc9.txt | 152 +
.../AlgoritmoGenetico/malva/README.md | 278 +
.../AlgoritmoGenetico/malva/environment | 19 +
.../AlgoritmoGenetico/malva/inc/Mallba | 1 +
.../AlgoritmoGenetico/malva/inc/inc.env | 1 +
.../AlgoritmoGenetico/malva/lib/Makefile | 8 +
.../AlgoritmoGenetico/malva/lib/libmallba.a | Bin 0 -> 34998 bytes
.../AlgoritmoGenetico/malva/rep/CHC/CHC.cfg | 15 +
.../AlgoritmoGenetico/malva/rep/CHC/CHC.hh | 909 +++
.../malva/rep/CHC/CHC.pro.cc | 3033 ++++++++
.../AlgoritmoGenetico/malva/rep/CHC/CHC.pro.o | Bin 0 -> 191488 bytes
.../malva/rep/CHC/CHC.req.cc | 332 +
.../AlgoritmoGenetico/malva/rep/CHC/CHC.req.o | Bin 0 -> 25240 bytes
.../malva/rep/CHC/CHCstructures.hh | 29 +
.../malva/rep/CHC/Config.cfg | 3 +
.../AlgoritmoGenetico/malva/rep/CHC/MainLan | Bin 0 -> 150656 bytes
.../malva/rep/CHC/MainLan.cc | 49 +
.../AlgoritmoGenetico/malva/rep/CHC/MainLan.o | Bin 0 -> 8992 bytes
.../AlgoritmoGenetico/malva/rep/CHC/MainSeq | Bin 0 -> 150704 bytes
.../malva/rep/CHC/MainSeq.cc | 43 +
.../AlgoritmoGenetico/malva/rep/CHC/MainSeq.o | Bin 0 -> 8624 bytes
.../malva/rep/CHC/MainWan.cc | 52 +
.../AlgoritmoGenetico/malva/rep/CHC/Makefile | 24 +
.../malva/rep/CHC/res/empty.txt | 0
.../AlgoritmoGenetico/malva/rep/GA/Config.cfg | 3 +
.../AlgoritmoGenetico/malva/rep/GA/MainLan | Bin 0 -> 172968 bytes
.../AlgoritmoGenetico/malva/rep/GA/MainLan.cc | 53 +
.../AlgoritmoGenetico/malva/rep/GA/MainLan.o | Bin 0 -> 9192 bytes
.../AlgoritmoGenetico/malva/rep/GA/MainSeq | Bin 0 -> 172968 bytes
.../AlgoritmoGenetico/malva/rep/GA/MainSeq.cc | 41 +
.../AlgoritmoGenetico/malva/rep/GA/MainSeq.o | Bin 0 -> 8632 bytes
.../AlgoritmoGenetico/malva/rep/GA/Makefile | 24 +
.../malva/rep/GA/asignacion_colores.csv | 10 +
.../malva/rep/GA/datos_cantidad_empleados | 1 +
.../malva/rep/GA/datos_cantidad_tareas | 1 +
.../malva/rep/GA/datos_empleados | 4 +
.../malva/rep/GA/datos_tareas | 3 +
.../malva/rep/GA/ejercicio2.py | 131 +
.../malva/rep/GA/generador.py | 143 +
.../AlgoritmoGenetico/malva/rep/GA/newGA.cfg | 18 +
.../AlgoritmoGenetico/malva/rep/GA/newGA.hh | 868 +++
.../malva/rep/GA/newGA.pro.cc | 2831 ++++++++
.../malva/rep/GA/newGA.pro.o | Bin 0 -> 176256 bytes
.../malva/rep/GA/newGA.req.cc | 778 ++
.../malva/rep/GA/newGA.req.o | Bin 0 -> 65312 bytes
.../malva/rep/GA/newGAstructures.hh | 60 +
.../malva/rep/GA/res/datos_cantidad_empleados | 1 +
.../malva/rep/GA/res/datos_cantidad_tareas | 1 +
.../malva/rep/GA/res/datos_empleados | 4 +
.../malva/rep/GA/res/datos_tareas | 3 +
.../malva/rep/GA/res/empty.txt | 0
.../malva/rep/GA/res/sol.txt | 16 +
.../AlgoritmoGenetico/malva/rep/GA/solution | 3 +
.../malva/rep/GA/verificador.py | 120 +
.../AlgoritmoGenetico/malva/rep/Makefile | 6 +
.../AlgoritmoGenetico/malva/rep/SA/Config.cfg | 3 +
.../AlgoritmoGenetico/malva/rep/SA/MainLan.cc | 53 +
.../AlgoritmoGenetico/malva/rep/SA/MainSeq.cc | 42 +
.../AlgoritmoGenetico/malva/rep/SA/MainWan.cc | 53 +
.../AlgoritmoGenetico/malva/rep/SA/Makefile | 22 +
.../AlgoritmoGenetico/malva/rep/SA/SA.cfg | 9 +
.../AlgoritmoGenetico/malva/rep/SA/SA.hh | 478 ++
.../AlgoritmoGenetico/malva/rep/SA/SA.req.cc | 222 +
.../malva/rep/SA/StopCondition.cc | 52 +
.../malva/rep/SA/StopCondition.hh | 41 +
.../malva/rep/SA/dnafa/AdjKeys.cpp | 286 +
.../malva/rep/SA/dnafa/AdjKeys.h | 45 +
.../malva/rep/SA/dnafa/AlignedPair.h | 39 +
.../malva/rep/SA/dnafa/Config.cfg | 3 +
.../malva/rep/SA/dnafa/ConsensusBuilder.cpp | 286 +
.../malva/rep/SA/dnafa/ConsensusBuilder.h | 53 +
.../malva/rep/SA/dnafa/ContigBuilder.cpp | 238 +
.../malva/rep/SA/dnafa/ContigBuilder.h | 49 +
.../malva/rep/SA/dnafa/LayoutBuilder.cpp | 423 ++
.../malva/rep/SA/dnafa/LayoutBuilder.h | 53 +
.../malva/rep/SA/dnafa/MainLan.cc | 57 +
.../malva/rep/SA/dnafa/MainSeq.cc | 48 +
.../malva/rep/SA/dnafa/Makefile | 25 +
.../malva/rep/SA/dnafa/OverlapDetector.cpp | 130 +
.../malva/rep/SA/dnafa/OverlapDetector.h | 45 +
.../malva/rep/SA/dnafa/SA.cfg | 9 +
.../malva/rep/SA/dnafa/SA.hh | 494 ++
.../malva/rep/SA/dnafa/SA.pro.cc | 1808 +++++
.../malva/rep/SA/dnafa/SA.pro.cc1 | 1837 +++++
.../malva/rep/SA/dnafa/SA.req.cc | 437 ++
.../malva/rep/SA/dnafa/StopCondition.cc | 52 +
.../malva/rep/SA/dnafa/StopCondition.hh | 41 +
.../malva/rep/SA/dnafa/Util.h | 71 +
.../malva/rep/SA/dnafa/list.h | 300 +
.../malva/rep/SA/dnafa/pgfileLan | 3 +
.../malva/rep/SA/dnafa/scp.h | 53 +
.../malva/rep/SA/dnafa/sga.cpp | 256 +
.../malva/rep/SA/dnafa/sga.h | 52 +
.../malva/rep/SA/maxsat/Config.cfg | 3 +
.../malva/rep/SA/maxsat/MainLan.cc | 53 +
.../malva/rep/SA/maxsat/MainSeq.cc | 42 +
.../malva/rep/SA/maxsat/Makefile | 22 +
.../malva/rep/SA/maxsat/SA.cfg | 9 +
.../malva/rep/SA/maxsat/SA.hh | 493 ++
.../malva/rep/SA/maxsat/SA.pro.cc | 1807 +++++
.../malva/rep/SA/maxsat/SA.req.cc | 364 +
.../malva/rep/SA/maxsat/StopCondition.cc | 52 +
.../malva/rep/SA/maxsat/StopCondition.hh | 41 +
.../malva/rep/SA/maxsat/pgfileLan | 5 +
.../malva/rep/SA/onemax/Config.cfg | 3 +
.../malva/rep/SA/onemax/MainLan.cc | 53 +
.../malva/rep/SA/onemax/MainSeq.cc | 42 +
.../malva/rep/SA/onemax/Makefile | 22 +
.../malva/rep/SA/onemax/SA.cfg | 9 +
.../malva/rep/SA/onemax/SA.hh | 488 ++
.../malva/rep/SA/onemax/SA.pro.cc | 1807 +++++
.../malva/rep/SA/onemax/SA.req.cc | 286 +
.../malva/rep/SA/onemax/StopCondition.cc | 52 +
.../malva/rep/SA/onemax/StopCondition.hh | 41 +
.../malva/rep/SA/onemax/pgfileLan | 5 +
.../AlgoritmoGenetico/malva/rep/SA/pgfileLan | 1 +
.../AlgoritmoGenetico/malva/rep/SA/pgfileWan | 1 +
.../malva/rep/SA/rnd/Config.cfg | 3 +
.../malva/rep/SA/rnd/MainLan.cc | 53 +
.../malva/rep/SA/rnd/MainSeq.cc | 42 +
.../malva/rep/SA/rnd/Makefile | 22 +
.../AlgoritmoGenetico/malva/rep/SA/rnd/SA.cfg | 9 +
.../AlgoritmoGenetico/malva/rep/SA/rnd/SA.hh | 488 ++
.../malva/rep/SA/rnd/SA.pro.cc | 1807 +++++
.../malva/rep/SA/rnd/SA.req.cc | 385 +
.../malva/rep/SA/rnd/StopCondition.cc | 52 +
.../malva/rep/SA/rnd/StopCondition.hh | 41 +
.../malva/rep/SA/rnd/pgfileLan | 5 +
.../malva/rep/SA/vrp/Config.cfg | 3 +
.../malva/rep/SA/vrp/MainLan.cc | 53 +
.../malva/rep/SA/vrp/MainSeq.cc | 42 +
.../malva/rep/SA/vrp/Makefile | 22 +
.../AlgoritmoGenetico/malva/rep/SA/vrp/SA.cfg | 9 +
.../AlgoritmoGenetico/malva/rep/SA/vrp/SA.hh | 499 ++
.../malva/rep/SA/vrp/SA.pro.cc | 1807 +++++
.../malva/rep/SA/vrp/SA.req.cc | 527 ++
.../malva/rep/SA/vrp/StopCondition.cc | 52 +
.../malva/rep/SA/vrp/StopCondition.hh | 41 +
.../malva/rep/SA/vrp/pgfileLan | 5 +
.../AlgoritmoGenetico/malva/src/Makefile | 14 +
.../AlgoritmoGenetico/malva/src/Matrix.hh | 337 +
.../AlgoritmoGenetico/malva/src/Messages.h | 112 +
.../AlgoritmoGenetico/malva/src/Rarray.h | 145 +
.../AlgoritmoGenetico/malva/src/Rlist.h | 415 ++
.../AlgoritmoGenetico/malva/src/States.cc | 228 +
.../AlgoritmoGenetico/malva/src/States.hh | 64 +
.../AlgoritmoGenetico/malva/src/States.o | Bin 0 -> 12968 bytes
.../AlgoritmoGenetico/malva/src/mallba.hh | 26 +
.../AlgoritmoGenetico/malva/src/netstream.cc | 380 +
.../AlgoritmoGenetico/malva/src/netstream.hh | 161 +
.../AlgoritmoGenetico/malva/src/netstream.o | Bin 0 -> 18752 bytes
.../AlgoritmoGenetico/malva/src/random.hh | 50 +
.../AlgoritmoGenetico/malva/src/time.hh | 43 +
.../malva/stat/file_stat_aco | 12 +
.../malva/stat/file_stat_pop | 13 +
.../malva/stat/file_stat_pso | 12 +
.../AlgoritmoGenetico/malva/stat/file_stat_sa | 13 +
.../AlgoritmoGenetico/malva/uml-comun.gif | Bin 0 -> 13660 bytes
ProyectoFinal/CHC/malva/.Rhistory | 0
ProyectoFinal/CHC/malva/.cproject | 134 +
ProyectoFinal/CHC/malva/.gitignore | 6 +
ProyectoFinal/CHC/malva/.project | 79 +
ProyectoFinal/CHC/malva/Makefile | 24 +
.../ProblemInstances/ATSP-instances/br17.atsp | 42 +
.../ProblemInstances/ATSP-instances/ft53.atsp | 220 +
.../ProblemInstances/ATSP-instances/ft70.atsp | 358 +
.../ATSP-instances/ftv170.atsp | 4882 +++++++++++++
.../ATSP-instances/ftv70.atsp | 849 +++
.../ATSP-instances/rbg323.atsp | 6467 +++++++++++++++++
.../ATSP-instances/ry48p.atsp | 200 +
.../ProblemInstances/DNAFA-instances/pbm.txt | 2 +
.../DNAFA-instances/score.txt | 39 +
.../DNAFA-instances/x60189_4.dat | 78 +
.../MAXSAT-instances/format.txt | 4 +
.../MAXSAT-instances/sat1.txt | 44 +
.../MAXSAT-instances/sat2.txt | 4301 +++++++++++
.../MTTP-instances/mttp100.dat | 307 +
.../MTTP-instances/mttp20.dat | 84 +
.../ONEMAX-instances/format.txt | 1 +
.../ONEMAX-instances/onemax10.txt | 1 +
.../ProblemInstances/RAS-instances/RAS10.txt | 2 +
.../ProblemInstances/RAS-instances/RAS20.txt | 2 +
.../ProblemInstances/RAS-instances/format.txt | 2 +
.../ProblemInstances/RND-instances/rnd149.txt | 1 +
.../SPHERE-instances/SPH10.txt | 2 +
.../SPHERE-instances/SPH20.txt | 2 +
.../SPHERE-instances/format.txt | 2 +
.../ProblemInstances/VRP-instances/format.txt | 3 +
.../VRP-instances/vrpinfo.txt | 47 +
.../ProblemInstances/VRP-instances/vrpnc1.txt | 52 +
.../VRP-instances/vrpnc10.txt | 201 +
.../VRP-instances/vrpnc11.txt | 122 +
.../VRP-instances/vrpnc12.txt | 102 +
.../VRP-instances/vrpnc13.txt | 122 +
.../VRP-instances/vrpnc14.txt | 102 +
.../ProblemInstances/VRP-instances/vrpnc2.txt | 77 +
.../ProblemInstances/VRP-instances/vrpnc3.txt | 102 +
.../ProblemInstances/VRP-instances/vrpnc4.txt | 152 +
.../ProblemInstances/VRP-instances/vrpnc5.txt | 201 +
.../ProblemInstances/VRP-instances/vrpnc6.txt | 52 +
.../ProblemInstances/VRP-instances/vrpnc7.txt | 77 +
.../ProblemInstances/VRP-instances/vrpnc8.txt | 102 +
.../ProblemInstances/VRP-instances/vrpnc9.txt | 152 +
ProyectoFinal/CHC/malva/README.md | 278 +
ProyectoFinal/CHC/malva/environment | 19 +
ProyectoFinal/CHC/malva/inc/Mallba | 1 +
ProyectoFinal/CHC/malva/inc/inc.env | 1 +
ProyectoFinal/CHC/malva/lib/Makefile | 8 +
ProyectoFinal/CHC/malva/lib/libmallba.a | Bin 0 -> 34998 bytes
ProyectoFinal/CHC/malva/rep/CHC/CHC.cfg | 15 +
ProyectoFinal/CHC/malva/rep/CHC/CHC.hh | 909 +++
ProyectoFinal/CHC/malva/rep/CHC/CHC.pro.cc | 3033 ++++++++
ProyectoFinal/CHC/malva/rep/CHC/CHC.pro.o | Bin 0 -> 191488 bytes
ProyectoFinal/CHC/malva/rep/CHC/CHC.req.cc | 332 +
ProyectoFinal/CHC/malva/rep/CHC/CHC.req.o | Bin 0 -> 25240 bytes
.../CHC/malva/rep/CHC/CHCstructures.hh | 29 +
ProyectoFinal/CHC/malva/rep/CHC/Config.cfg | 3 +
ProyectoFinal/CHC/malva/rep/CHC/MainLan | Bin 0 -> 150656 bytes
ProyectoFinal/CHC/malva/rep/CHC/MainLan.cc | 49 +
ProyectoFinal/CHC/malva/rep/CHC/MainLan.o | Bin 0 -> 8992 bytes
ProyectoFinal/CHC/malva/rep/CHC/MainSeq | Bin 0 -> 150704 bytes
ProyectoFinal/CHC/malva/rep/CHC/MainSeq.cc | 43 +
ProyectoFinal/CHC/malva/rep/CHC/MainSeq.o | Bin 0 -> 8624 bytes
ProyectoFinal/CHC/malva/rep/CHC/MainWan.cc | 52 +
ProyectoFinal/CHC/malva/rep/CHC/Makefile | 24 +
ProyectoFinal/CHC/malva/rep/CHC/res/empty.txt | 0
ProyectoFinal/CHC/malva/rep/GA/Config.cfg | 3 +
ProyectoFinal/CHC/malva/rep/GA/MainLan | Bin 0 -> 172968 bytes
ProyectoFinal/CHC/malva/rep/GA/MainLan.cc | 53 +
ProyectoFinal/CHC/malva/rep/GA/MainLan.o | Bin 0 -> 9192 bytes
ProyectoFinal/CHC/malva/rep/GA/MainSeq | Bin 0 -> 172968 bytes
ProyectoFinal/CHC/malva/rep/GA/MainSeq.cc | 41 +
ProyectoFinal/CHC/malva/rep/GA/MainSeq.o | Bin 0 -> 8632 bytes
ProyectoFinal/CHC/malva/rep/GA/Makefile | 24 +
.../CHC/malva/rep/GA/asignacion_colores.csv | 10 +
.../CHC/malva/rep/GA/datos_cantidad_empleados | 1 +
.../CHC/malva/rep/GA/datos_cantidad_tareas | 1 +
.../CHC/malva/rep/GA/datos_empleados | 4 +
ProyectoFinal/CHC/malva/rep/GA/datos_tareas | 3 +
ProyectoFinal/CHC/malva/rep/GA/ejercicio2.py | 131 +
ProyectoFinal/CHC/malva/rep/GA/generador.py | 143 +
ProyectoFinal/CHC/malva/rep/GA/newGA.cfg | 18 +
ProyectoFinal/CHC/malva/rep/GA/newGA.hh | 868 +++
ProyectoFinal/CHC/malva/rep/GA/newGA.pro.cc | 2831 ++++++++
ProyectoFinal/CHC/malva/rep/GA/newGA.pro.o | Bin 0 -> 176256 bytes
ProyectoFinal/CHC/malva/rep/GA/newGA.req.cc | 778 ++
ProyectoFinal/CHC/malva/rep/GA/newGA.req.o | Bin 0 -> 65312 bytes
.../CHC/malva/rep/GA/newGAstructures.hh | 60 +
.../malva/rep/GA/res/datos_cantidad_empleados | 1 +
.../malva/rep/GA/res/datos_cantidad_tareas | 1 +
.../CHC/malva/rep/GA/res/datos_empleados | 4 +
.../CHC/malva/rep/GA/res/datos_tareas | 3 +
ProyectoFinal/CHC/malva/rep/GA/res/empty.txt | 0
ProyectoFinal/CHC/malva/rep/GA/res/sol.txt | 16 +
ProyectoFinal/CHC/malva/rep/GA/solution | 3 +
ProyectoFinal/CHC/malva/rep/GA/verificador.py | 120 +
ProyectoFinal/CHC/malva/rep/Makefile | 6 +
ProyectoFinal/CHC/malva/rep/SA/Config.cfg | 3 +
ProyectoFinal/CHC/malva/rep/SA/MainLan.cc | 53 +
ProyectoFinal/CHC/malva/rep/SA/MainSeq.cc | 42 +
ProyectoFinal/CHC/malva/rep/SA/MainWan.cc | 53 +
ProyectoFinal/CHC/malva/rep/SA/Makefile | 22 +
ProyectoFinal/CHC/malva/rep/SA/SA.cfg | 9 +
ProyectoFinal/CHC/malva/rep/SA/SA.hh | 478 ++
ProyectoFinal/CHC/malva/rep/SA/SA.req.cc | 222 +
.../CHC/malva/rep/SA/StopCondition.cc | 52 +
.../CHC/malva/rep/SA/StopCondition.hh | 41 +
.../CHC/malva/rep/SA/dnafa/AdjKeys.cpp | 286 +
.../CHC/malva/rep/SA/dnafa/AdjKeys.h | 45 +
.../CHC/malva/rep/SA/dnafa/AlignedPair.h | 39 +
.../CHC/malva/rep/SA/dnafa/Config.cfg | 3 +
.../malva/rep/SA/dnafa/ConsensusBuilder.cpp | 286 +
.../CHC/malva/rep/SA/dnafa/ConsensusBuilder.h | 53 +
.../CHC/malva/rep/SA/dnafa/ContigBuilder.cpp | 238 +
.../CHC/malva/rep/SA/dnafa/ContigBuilder.h | 49 +
.../CHC/malva/rep/SA/dnafa/LayoutBuilder.cpp | 423 ++
.../CHC/malva/rep/SA/dnafa/LayoutBuilder.h | 53 +
.../CHC/malva/rep/SA/dnafa/MainLan.cc | 57 +
.../CHC/malva/rep/SA/dnafa/MainSeq.cc | 48 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/Makefile | 25 +
.../malva/rep/SA/dnafa/OverlapDetector.cpp | 130 +
.../CHC/malva/rep/SA/dnafa/OverlapDetector.h | 45 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.cfg | 9 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.hh | 494 ++
.../CHC/malva/rep/SA/dnafa/SA.pro.cc | 1808 +++++
.../CHC/malva/rep/SA/dnafa/SA.pro.cc1 | 1837 +++++
.../CHC/malva/rep/SA/dnafa/SA.req.cc | 437 ++
.../CHC/malva/rep/SA/dnafa/StopCondition.cc | 52 +
.../CHC/malva/rep/SA/dnafa/StopCondition.hh | 41 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/Util.h | 71 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/list.h | 300 +
.../CHC/malva/rep/SA/dnafa/pgfileLan | 3 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/scp.h | 53 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.cpp | 256 +
ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.h | 52 +
.../CHC/malva/rep/SA/maxsat/Config.cfg | 3 +
.../CHC/malva/rep/SA/maxsat/MainLan.cc | 53 +
.../CHC/malva/rep/SA/maxsat/MainSeq.cc | 42 +
.../CHC/malva/rep/SA/maxsat/Makefile | 22 +
ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.cfg | 9 +
ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.hh | 493 ++
.../CHC/malva/rep/SA/maxsat/SA.pro.cc | 1807 +++++
.../CHC/malva/rep/SA/maxsat/SA.req.cc | 364 +
.../CHC/malva/rep/SA/maxsat/StopCondition.cc | 52 +
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.../CHC/malva/rep/SA/onemax/Config.cfg | 3 +
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.../CHC/malva/rep/SA/onemax/Makefile | 22 +
ProyectoFinal/CHC/malva/rep/SA/onemax/SA.cfg | 9 +
ProyectoFinal/CHC/malva/rep/SA/onemax/SA.hh | 488 ++
.../CHC/malva/rep/SA/onemax/SA.pro.cc | 1807 +++++
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.../CHC/malva/rep/SA/onemax/StopCondition.cc | 52 +
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ProyectoFinal/CHC/malva/rep/SA/rnd/MainLan.cc | 53 +
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ProyectoFinal/CHC/malva/rep/SA/rnd/Makefile | 22 +
ProyectoFinal/CHC/malva/rep/SA/rnd/SA.cfg | 9 +
ProyectoFinal/CHC/malva/rep/SA/rnd/SA.hh | 488 ++
ProyectoFinal/CHC/malva/rep/SA/rnd/SA.pro.cc | 1807 +++++
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.../CHC/malva/rep/SA/rnd/StopCondition.cc | 52 +
.../CHC/malva/rep/SA/rnd/StopCondition.hh | 41 +
ProyectoFinal/CHC/malva/rep/SA/rnd/pgfileLan | 5 +
ProyectoFinal/CHC/malva/rep/SA/vrp/Config.cfg | 3 +
ProyectoFinal/CHC/malva/rep/SA/vrp/MainLan.cc | 53 +
ProyectoFinal/CHC/malva/rep/SA/vrp/MainSeq.cc | 42 +
ProyectoFinal/CHC/malva/rep/SA/vrp/Makefile | 22 +
ProyectoFinal/CHC/malva/rep/SA/vrp/SA.cfg | 9 +
ProyectoFinal/CHC/malva/rep/SA/vrp/SA.hh | 499 ++
ProyectoFinal/CHC/malva/rep/SA/vrp/SA.pro.cc | 1807 +++++
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.../CHC/malva/rep/SA/vrp/StopCondition.cc | 52 +
.../CHC/malva/rep/SA/vrp/StopCondition.hh | 41 +
ProyectoFinal/CHC/malva/rep/SA/vrp/pgfileLan | 5 +
ProyectoFinal/CHC/malva/src/Makefile | 14 +
ProyectoFinal/CHC/malva/src/Matrix.hh | 337 +
ProyectoFinal/CHC/malva/src/Messages.h | 112 +
ProyectoFinal/CHC/malva/src/Rarray.h | 145 +
ProyectoFinal/CHC/malva/src/Rlist.h | 415 ++
ProyectoFinal/CHC/malva/src/States.cc | 228 +
ProyectoFinal/CHC/malva/src/States.hh | 64 +
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ProyectoFinal/CHC/malva/src/mallba.hh | 26 +
ProyectoFinal/CHC/malva/src/netstream.cc | 380 +
ProyectoFinal/CHC/malva/src/netstream.hh | 161 +
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ProyectoFinal/CHC/malva/src/random.hh | 50 +
ProyectoFinal/CHC/malva/src/time.hh | 43 +
ProyectoFinal/CHC/malva/stat/file_stat_aco | 12 +
ProyectoFinal/CHC/malva/stat/file_stat_pop | 13 +
ProyectoFinal/CHC/malva/stat/file_stat_pso | 12 +
ProyectoFinal/CHC/malva/stat/file_stat_sa | 13 +
ProyectoFinal/CHC/malva/uml-comun.gif | Bin 0 -> 13660 bytes
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+ <profile id="org.eclipse.cdt.managedbuilder.core.GCCWinManagedMakePerProjectProfile">
+ <buildOutputProvider>
+ <openAction enabled="true" filePath=""/>
+ <parser enabled="true"/>
+ </buildOutputProvider>
+ <scannerInfoProvider id="specsFile">
+ <runAction arguments="-c 'gcc -E -P -v -dD "${plugin_state_location}/${specs_file}"'" command="sh" useDefault="true"/>
+ <parser enabled="true"/>
+ </scannerInfoProvider>
+ </profile>
+ <profile id="org.eclipse.cdt.managedbuilder.core.GCCWinManagedMakePerProjectProfileCPP">
+ <buildOutputProvider>
+ <openAction enabled="true" filePath=""/>
+ <parser enabled="true"/>
+ </buildOutputProvider>
+ <scannerInfoProvider id="specsFile">
+ <runAction arguments="-c 'g++ -E -P -v -dD "${plugin_state_location}/specs.cpp"'" command="sh" useDefault="true"/>
+ <parser enabled="true"/>
+ </scannerInfoProvider>
+ </profile>
+ <profile id="org.eclipse.cdt.managedbuilder.core.GCCWinManagedMakePerProjectProfileC">
+ <buildOutputProvider>
+ <openAction enabled="true" filePath=""/>
+ <parser enabled="true"/>
+ </buildOutputProvider>
+ <scannerInfoProvider id="specsFile">
+ <runAction arguments="-c 'gcc -E -P -v -dD "${plugin_state_location}/specs.c"'" command="sh" useDefault="true"/>
+ <parser enabled="true"/>
+ </scannerInfoProvider>
+ </profile>
+ </storageModule>
+ <storageModule moduleId="org.eclipse.cdt.core.externalSettings"/>
+ </cconfiguration>
+ </storageModule>
+ <storageModule moduleId="cdtBuildSystem" version="4.0.0">
+ <project id="malva.null.2024921052" name="malva"/>
+ </storageModule>
+</cproject>
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/.gitignore b/ProyectoFinal/AlgoritmoGenetico/malva/.gitignore
new file mode 100644
index 0000000..42fcba1
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/.gitignore
@@ -0,0 +1,6 @@
+.cproject/
+.project/
+.svn/
+.idea/
+.DS_Store
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/.project b/ProyectoFinal/AlgoritmoGenetico/malva/.project
new file mode 100644
index 0000000..1bb914c
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/.project
@@ -0,0 +1,79 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+ <name>Malva</name>
+ <comment></comment>
+ <projects>
+ </projects>
+ <buildSpec>
+ <buildCommand>
+ <name>org.eclipse.cdt.managedbuilder.core.genmakebuilder</name>
+ <triggers>clean,full,incremental,</triggers>
+ <arguments>
+ <dictionary>
+ <key>?name?</key>
+ <value></value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.append_environment</key>
+ <value>true</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.autoBuildTarget</key>
+ <value>all</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.buildArguments</key>
+ <value></value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.buildCommand</key>
+ <value>make</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.cleanBuildTarget</key>
+ <value>clean</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.contents</key>
+ <value>org.eclipse.cdt.make.core.activeConfigSettings</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.enableAutoBuild</key>
+ <value>false</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.enableCleanBuild</key>
+ <value>true</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.enableFullBuild</key>
+ <value>true</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.fullBuildTarget</key>
+ <value>all</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.stopOnError</key>
+ <value>true</value>
+ </dictionary>
+ <dictionary>
+ <key>org.eclipse.cdt.make.core.useDefaultBuildCmd</key>
+ <value>true</value>
+ </dictionary>
+ </arguments>
+ </buildCommand>
+ <buildCommand>
+ <name>org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder</name>
+ <triggers>full,incremental,</triggers>
+ <arguments>
+ </arguments>
+ </buildCommand>
+ </buildSpec>
+ <natures>
+ <nature>org.eclipse.cdt.core.cnature</nature>
+ <nature>org.eclipse.cdt.core.ccnature</nature>
+ <nature>org.eclipse.cdt.managedbuilder.core.managedBuildNature</nature>
+ <nature>org.eclipse.cdt.managedbuilder.core.ScannerConfigNature</nature>
+ </natures>
+</projectDescription>
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/Makefile
new file mode 100644
index 0000000..a662e76
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/Makefile
@@ -0,0 +1,24 @@
+default:
+ @echo "Make what? (all, libs, skeletons, clean)"
+
+all:
+ (cd inc ; rm -f Mallba)
+ (cd inc ; ./inc.env)
+ (cd src ; make all)
+ (cd lib ; make all)
+ (cd rep ; make all)
+
+libs:
+ (cd inc ; rm -f Mallba)
+ (cd inc ; ./inc.env)
+ (cd src ; make all)
+ (cd lib ; make all)
+
+skeletons:
+ (cd rep ; make all)
+
+clean:
+ (cd inc ; rm -f Mallba)
+ (cd src ; make clean)
+ (cd lib ; make clean)
+ (cd rep ; make clean)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/br17.atsp b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/br17.atsp
new file mode 100644
index 0000000..37313b1
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/br17.atsp
@@ -0,0 +1,42 @@
+NAME: br17
+TYPE: ATSP
+COMMENT: 17 city problem (Repetto)
+DIMENSION: 17
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
+EDGE_WEIGHT_SECTION
+ 9999 3 5 48 48 8 8 5 5 3 3 0 3 5 8 8
+ 5
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+ 5
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+ 24
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+ 12
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+ 12
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+ 8
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+ 0
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+ 0
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+ 5
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+ 24
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+ 8
+ 8 8 50 6 6 0 0 8 8 8 8 8 8 50 0 9999
+ 8
+ 5 5 26 12 12 8 8 0 0 5 5 5 5 26 8 8
+ 9999
+EOF
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ft53.atsp b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ft53.atsp
new file mode 100644
index 0000000..3f81c5b
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ft53.atsp
@@ -0,0 +1,220 @@
+NAME: ft53
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 53
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
+EDGE_WEIGHT_SECTION
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+EOF
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ft70.atsp b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ft70.atsp
new file mode 100644
index 0000000..75cacb6
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ft70.atsp
@@ -0,0 +1,358 @@
+NAME: ft70
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 70
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
+EDGE_WEIGHT_SECTION
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ftv170.atsp b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ftv170.atsp
new file mode 100644
index 0000000..22a978b
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ftv170.atsp
@@ -0,0 +1,4882 @@
+NAME: ftv170
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
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+EOF
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ftv70.atsp b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ftv70.atsp
new file mode 100644
index 0000000..a966e49
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ftv70.atsp
@@ -0,0 +1,849 @@
+NAME: ftv70
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 71
+EDGE_WEIGHT_TYPE: EXPLICIT
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/rbg323.atsp b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/rbg323.atsp
new file mode 100644
index 0000000..c19aa72
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/rbg323.atsp
@@ -0,0 +1,6467 @@
+NAME: rbg323
+TYPE: ATSP
+COMMENT: Stacker crane application (Ascheuer)
+DIMENSION: 323
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ry48p.atsp b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ry48p.atsp
new file mode 100644
index 0000000..b02a98c
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ATSP-instances/ry48p.atsp
@@ -0,0 +1,200 @@
+NAME: ry48p
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 48
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
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+EOF
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/pbm.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/pbm.txt
new file mode 100644
index 0000000..38c5037
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/pbm.txt
@@ -0,0 +1,2 @@
+30
+/Mallba/ProblemInstances/DNAFA-instances/x60189_4.dat
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/score.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/score.txt
new file mode 100644
index 0000000..ff26d92
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/score.txt
@@ -0,0 +1,39 @@
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/x60189_4.dat b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/x60189_4.dat
new file mode 100644
index 0000000..2420540
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/DNAFA-instances/x60189_4.dat
@@ -0,0 +1,78 @@
+>frag0000
+caccatctcaggcctggagccagaccataaatacaagatgaacctgtacggcttccacggtggccagcgcgtgggccccatctctgtcattggggtgacgggtgagtggatgatggcagccccagggtgggagccgtgggagggtcaccctcttgctctttggtgatgactggtggggaatgggccaggggtccggtcagcaccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtcaggagctctgctgtgctggtg
+>frag0001
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+>frag0002
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+>frag0003
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+>frag0004
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+>frag0005
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+>frag0006
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+>frag0007
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+>frag0008
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+>frag0009
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+>frag0010
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+>frag0011
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+>frag0012
+tgtcagttgagcaggaccacccagccccaagaatgggcttttctgaaatgacctcacatacccagtagtggccatggtttctccctccttcccttgaagacctgagcacatcccccaggcacctggcatcctctctatatctccttttctcagctgcagaggaagagacccccagccccacggaactcagcactgaggccccggagccccctgaggagccgctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctctcctggaccatcccccagggccacttcgactccttcaccgtgcagtacaaggacagggacgggcggccccaggtgatgcgtgtcaggggcgaggagagcgaggtcaccgtggggggcctggagcccgggcgcaaatacaagatgcacctgta
+>frag0013
+gaattctttgctgaatgaacaaattggcccattggtgagaaaggtctgttcctattcctattccaatagtgggcttccagagtgtgcagtcgacgcgctgcccctcactgccttctgtcttccttcacggcccctagtcaactccacagagaaagcacactaccaggaatcagggacgcagaaaaattctcttcaacagatttcaaaagagggtccaattcctttgtcgtgaagaactttgctactcaaggggcgtgatcatgggccagcagcatccgcatcatttcttgttggaaatgcgagaatctctggccctagcccaaacctgttgaaccccaatctgcctcttagcaagatccccaagcatggaaacgtgcaaaagaagcccggctggtgagaatatttttgttttcatgaagttgcagagaaagcaacatcttctagggccatcttcctcact
+>frag0014
+attaattttgttatagtgctttcaccgcaacgcatcaaataaccattgaaacgatgatgaatgctggttgtgtagccgtgaggtgaatgattacaatgtacttgtgtacaaaaaaggaagtgccaagaactttatgaacactgattgcaactttaaaacagcctctgcatgcaaaatacaggaagggaatgtgcactacacacattgttattaatgccggcagctgggggagaaagtaggactatgagattcttgttttctgtttttcaagctttccacataatgttgctgtattattttcactagaaaaacgtgggctaaaaaagaaattctgggctgggagcagtggttcacgcctgtaatcctagcattttgggaggccgaggcgggtggatcacctgaggttgggaattc
+>frag0015
+tttcaaaagagggtccaattcctttgtcgtgaagaactttgctactcaaggggcgtgatcatgggccagcagcatccgcatcatttcttgttggaaatgcgagaatctctggccctagcccaaacctgttgaaccccaatctgcctcttagcaagatccccaagcatggaaacgtgcaaaagaagcccggctggtgagaatatttttgttttcatgaagttgcagagaaagcaacatcttctagggccatcttcctcactcacaaacactcacctgtcacacccacggtggacaccgggcccacacgccgcccct
+>frag0016
+ctggaccatcccccagggccacttcgactccttcaccgtgcagtacaaggacagggacgggcggccccaggtgatgcgtgtcaggggcgaggagagcgaggtcaccgtggggggcctggagcccgggcgcaaatacaagatgcacctgtacggcctccacgaggggcggcgtgtgggcccggtgtccaccgtgggtgtgacaggtgagtgtttgtgagtgaggaagatggccctagaagatgttgctttctctgcaacttcatgaaaacaaaaatattctcaccagccgggcttcttttgcacgtttccatgcttggggatcttgctaagaggcagattggggttcaacaggtttgggctagggccagagattctcgcatttccaacaagaaatgatgcggatgctgctggcccatgatcacgccccttgagtagcaaagttcttcacgacaaaggaattggaccct
+>frag0017
+ctgctgtcatgaataaccccatcgtgagttcttccatgctataactttttcctgctttaataattttcttaggacagatgcccagaactgggattattgggtcaaaggaaatgagaattactttggctcctgacactatgtctcagttgccttctggaggtttctaacagtgcagctctgccagcagtacagtcgggggctcggggatacctcaccggctcttattccaagagtcactgaacggcgaactcaaagctgccccagccctcagcctgctctggaggggcgcatttgatgtatgacctctgttgacagcaccagcaaagcaagttgcccttaaacccttaaactctgtatccccctatattacctttcagccccacaagaggatgtggacgagacccccagccctacagaaccaggca
+>frag0018
+cctggcatcctctctatatctccttttctcagctgcagaggaagagacccccagccccacggaactcagcactgaggccccggagccccctgaggagccgctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctctcctggaccatcccccagggccacttcgactccttcaccgtgcagtacaaggacagggacgggcggccccaggtgatgcgtgtcaggggcgaggagagcgaggtcaccgtggggggcctggagcccgggcgcaaatacaagatgcacctgtacggcctccacgaggggcggcgtgtgggcccggtgtccaccgtgggtgtgacaggtgagtgtttgtgagtgaggaagatggccctagaagatgttgctttctctgcaacttcatgaaaacaaaaatattctcaccagccgggcttcttttgcacgtttccatgcttggggatcttgctaagaggcagatt
+>frag0019
+gccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctctgctcccacacttcaggat
+>frag0020
+aaggaagtgccaagaactttatgaacactgattgcaactttaaaacagcctctgcatgcaaaatacaggaagggaatgtgcactacacacattgttattaatgccggcagctgggggagaaagtaggactatgagattcttgttttctgtttttcaagctttccacataatgttgctgtattattttcactagaaaaacgtgggctaaaaaagaaattctgggctgggagcagtggttcacgcctgtaatcctagcattttgggaggccgaggcgggtggatcacctgaggttgggaattc
+>frag0021
+gatggggtggcagggagcctggaggcagcgaggccagtaggcagttggtggccctggtgagaggtgacagtggctcaaactaggatcggggactggaggtggggtaggaaggtatccaggggaattcagggtaaagatgctctgaggctgctggcagctggtgaggagctggatccaggaacacaccccaggctctggcctcgggaggagtgtgctgagcttgttgcggagcaaagacagaagcccagtgaacaaaagatggcgaagagaccccagtgctgggaggccaggggtgcagaggccgagtggggctgtgctcaaaagagaggcggtgctggagggacagggagaggtggcctgggtgttgggaggtgggggtgaggtgggggctgagggcaggagggtcagggtgagggataggaaaggccacaggagaggagagga
+>frag0022
+acggctacacaaccagcattcatcatcgtttcaatggttatttgatgcgttgcggtgaaagcactataacaaaattaatcatcttctacgggtcatttgtgttcctgacacatctgctgtcatgaataaccccatcgtgagttcttccatgctataactttttcctgctttaataattttcttaggacagatgcccagaactgggattattgggtcaaaggaaatgagaattactttggctcctgacactatgtctcagttgccttctggaggtttctaacagtgcagctctgccagcagtacagtcgggggctcggggatacctcaccggctcttattccaagagtcactgaacggcgaactca
+>frag0023
+gtctctccatgacatgtctttccataatgttgctatattcctttcactgtgagccccatcaagacagaaatatgtataggaaaatggtagagaagggcacattttctagggctgtcttccaaccctgccccacccacactcactcacctgtgacgcccacggcagacaccgggcccaggcgccgcccctcgtggaggccgtacaggtgcatcttgtacttgcgcccaggctccaggcccctcacagtgaccttgctctcctggcccccaacacgcaccgcctggggccgcccgtccctgtccttgtactgcacggtgaaggagtcaaagcggccctgggggacggtccaggaaaggctcagcgagtcaggggaggatcctgtcactgtcagctcccccaggagaggctcctcggggggccctggggctctgtgcctggttctgtagggctgggggtctc
+>frag0024
+gccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctc
+>frag0025
+caccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtcaggagctctgctgtgctggtggctgtcccagacccccacagctgaccctggaacttgtcatgtgtgttagctgtcagttgagcaggaccacccagccccaagaatgggcttttctgaaatgacctcacatacccagtagtggccatggtttctccctccttcccttgaagacctgagcacatcccccaggcacctggcatcctctctatatctccttttctcagctgcagaggaagagacccccagccccacggaactcagcactgaggccccggagccccctgaggagccgctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctctcctggaccatcccccaggg
+>frag0026
+aatctcatagtcctactttctcccccagctgccggcattaataacaatgtgtgtagtgcacattcccttcctgtattttgcatgcagaggctgttttaaagttgcaatcagtgttcataaagttcttggcacttccttttttgtacacaagtacattgtaatcattcacctcacggctacacaaccagcattcatcatcgtttcaatggttatttgatgcgttgcggtgaaagcactataacaaaattaatcatcttctacgggtcatttgtgttcctgacacatctgctgtcatgaataaccccatcgtgagttcttccatgctataactttttcctgctttaataattttcttaggacagatgcccagaactgggattattgggtcaaaggaaatgag
+>frag0027
+gcatttccaacaagaaatgatgcggatgctgctggcccatgatcacgccccttgagtagcaaagttcttcacgacaaaggaattggaccctcttttgaaatctgttgaagagaatttttctgcgtccctgattcctggtagtgtgctttctctgtggagttgactaggggccgtgaaggaagacagaaggcagtgaggggcagcgcgtcgactgcacactctggaagcccactattggaataggaataggaacagacctttctcaccaatgggccaatttgttcattcagcaaagaattc
+>frag0028
+gtgcccttctctaccattttcctatacatatttctgtcttgatggggctcacagtgaaaggaatatagcaacattatggaaagacatgtcatggagagacaggctgcaatccagcaaatgaagcaaaggcgggtgagcatgtgatagggaggcccagggctcaggtcaggaccagacagggacgcctaagtcaccctgcccatgggtacccaggggacagccaggacctgaggccaggcatgccttagcttggtgacagctttagagagaaggtgaagtgtgtcagataatcacagctggtgcaaaggc
+>frag0029
+ctgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctctgctcccacacttcaggatgagatactcaccgtaaaggacaccccactcaatcctcagtgcctctcacgtgccatgctctttctagcctcctggcctttgcaccagctgtgattatctgacacacttcaccttctctctaaagctgtcaccaagctaaggcatgcctggcctcaggtcctggctgtcccctgggtacccatgggcagggtgacttaggcgtccctgtctggtcc
+>frag0030
+cctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatcc
+>frag0031
+tcaaagctgccccagccctcagcctgctctggaggggcgcatttgatgtatgacctctgttgacagcaccagcaaagcaagttgcccttaaacccttaaactctgtatccccctatattacctttcagccccacaagaggatgtggacgagacccccagccctacagaaccaggcacagagccccagggccccccgaggagcctctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctttcctggaccgtcccccagggccgctttgactccttcaccgtgcagtacaaggacagggacgggcggccccaggcggtgcgtgttgggggccaggagagcaaggtcactgtgaggggcctggagcctgggcgcaag
+>frag0032
+gtcagctcccccaggcgaggcttgatggggggctcaggggtcatggtaggcactgcttgggtggtctcggcttcatcctctggagttggacagacacgtgtggggacagtgaggtccctggctcctcagttcagcatagaaaggatgtgtcacaaaacacaaagtgcccaagagcaggacgatgctgcccacagcccctccagcacagctcttcatcctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactc
+>frag0033
+cacccctgactccctcagcctgtcctggacggttcccgagggccagtttgaccacttcctggtccagtacaggaatggggatgggcagcccaaggcggtgcgggtgccggggcacgaggacggggtcaccatctcaggcctggagccagaccataaatacaagatgaacctgtacggcttccacggtggccagcgcgtgggccccatctctgtcattggggtgacgggtgagtggatgatggcagccccagggtgggagccgtgggagggtcaccctcttgctctttggtgatgactggtggggaatgggccaggggtccggtcagcaccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtc
+>frag0034
+ggccccccgaggagcctctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctttcctggaccgtcccccagggccgctttgactccttcaccgtgcagtacaaggacagggacgggcggccccaggcggtgcgtgttgggggccaggagagcaaggtcactgtgaggggcctggagcctgggcgcaagtacaagatgcacctgtacggcctccacgaggggcggcgcctgggcccggtgtctgccgtgggcgtcacaggtgagtgagtgtgggtggggcagggttggaagacagccctagaaaatgtgcccttctctaccattttcctatacatatttctgtcttgatggggctcacagtgaaaggaatatagcaacattatggaaagacatgtcatggagagacaggctgcaatccagcaaatgaagcaaaggcgggtgagcatgtgat
+>frag0035
+ttcatcctctggagttggacagacacgtgtggggacagtgaggtccctggctcctcagttcagcatagaaaggatgtgtcacaaaacacaaagtgcccaagagcaggacgatgctgcccacagcccctccagcacagctcttcatcctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcac
+>frag0036
+tcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccat
+>frag0037
+aaagctgccccagccctcagcctgctctggaggggcgcatttgatgtatgacctctgttgacagcaccagcaaagcaagttgcccttaaacccttaaactctgtatccccctatattacctttcagccccacaagaggatgtggacgagacccccagccctacagaaccaggcacagagccccagggccccccgaggagcctctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctttcctggaccgtcccccagggccgctttgactccttcaccgtgcagtacaaggacagggacgggcggccccaggcggtgcgtgttgggggccaggagagcaaggtcactgtgaggggcctggagcc
+>frag0038
+cctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctctgctcccacacttcaggatgagatactcaccgtaaaggacaccccactcaatcctcagtgcctctcacgtgccatgctctttctagcctcctggcc
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/format.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/format.txt
new file mode 100644
index 0000000..dc630e1
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/format.txt
@@ -0,0 +1,4 @@
+// number of variables, number of clauses and number of literals per clause.
+// clause 1 (finalized in 0), if literal < 0 then the literal is negated.
+
+// clause N (finalized in 0), if literal < 0 then the literal is negated.
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/sat1.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/sat1.txt
new file mode 100644
index 0000000..f8aa7fe
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/sat1.txt
@@ -0,0 +1,44 @@
+10 43 3
+-4 -1 5 0
+-1 -9 -10 0
+-5 -3 -8 0
+-4 -8 -5 0
+2 6 7 0
+-9 -1 -10 0
+5 -3 -9 0
+1 -3 -5 0
+7 2 -4 0
+-7 3 4 0
+-2 1 -9 0
+-8 1 3 0
+3 6 7 0
+-1 -3 -2 0
+4 7 -2 0
+-8 -7 -3 0
+4 3 2 0
+-5 -4 1 0
+-9 10 -8 0
+-6 2 8 0
+-7 -8 5 0
+-7 -5 3 0
+7 9 -10 0
+1 -6 -3 0
+1 -9 6 0
+10 9 4 0
+-8 3 7 0
+8 7 -3 0
+-8 4 9 0
+8 -5 4 0
+8 10 1 0
+-1 -7 8 0
+6 2 5 0
+6 2 10 0
+2 -6 4 0
+-3 9 -1 0
+9 1 -10 0
+10 -5 -8 0
+-10 6 1 0
+1 7 2 0
+-6 3 2 0
+-1 -9 8 0
+-5 2 -10 0
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/sat2.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/sat2.txt
new file mode 100644
index 0000000..806241f
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MAXSAT-instances/sat2.txt
@@ -0,0 +1,4301 @@
+1000 4300 3
+881 -647 537 0
+-739 396 282 0
+-43 -487 -52 0
+-643 205 796 0
+939 -885 -829 0
+-361 576 421 0
+-193 904 -238 0
+-940 902 26 0
+-177 -783 257 0
+439 942 675 0
+-794 714 -977 0
+310 -524 523 0
+-762 -494 260 0
+-578 305 502 0
+-805 -630 547 0
+729 855 -76 0
+-168 -754 667 0
+965 -418 93 0
+-668 -824 -495 0
+286 976 339 0
+776 -809 -157 0
+395 -120 838 0
+412 895 703 0
+-472 -479 -19 0
+-65 -918 945 0
+-682 -47 -590 0
+-956 996 316 0
+-969 120 222 0
+809 938 995 0
+-882 131 -976 0
+34 61 -359 0
+475 182 -67 0
+105 -391 986 0
+616 -867 -339 0
+-830 236 752 0
+-415 124 903 0
+-473 585 681 0
+203 -11 380 0
+-874 -126 -568 0
+498 -850 -74 0
+435 -113 -261 0
+-690 542 148 0
+-800 -657 752 0
+-624 269 526 0
+794 177 512 0
+-620 -987 819 0
+292 -87 455 0
+-945 758 946 0
+-723 421 908 0
+131 -977 369 0
+-811 -172 875 0
+971 410 -522 0
+287 474 -157 0
+753 458 491 0
+-265 -653 -269 0
+743 890 -606 0
+-207 555 211 0
+-367 799 403 0
+869 559 -407 0
+33 657 488 0
+834 -663 646 0
+-318 -109 804 0
+-235 572 452 0
+-257 -977 984 0
+386 -388 800 0
+-879 -50 131 0
+91 936 -258 0
+215 -310 -748 0
+911 842 670 0
+-514 442 496 0
+8 -111 35 0
+616 -77 325 0
+266 796 918 0
+-22 -261 -317 0
+-654 827 647 0
+48 -267 -905 0
+-921 418 407 0
+685 930 -196 0
+593 379 212 0
+-407 812 805 0
+-983 -942 919 0
+-138 32 678 0
+-306 764 -898 0
+-752 637 573 0
+916 332 -598 0
+890 350 -859 0
+-216 -821 -218 0
+-497 -981 -276 0
+-681 -893 -12 0
+765 -862 -222 0
+-740 6 666 0
+4 145 -59 0
+825 217 14 0
+135 889 -870 0
+-147 -85 -563 0
+298 -876 929 0
+-341 943 997 0
+329 -258 299 0
+-41 911 -906 0
+439 716 450 0
+-300 709 -704 0
+-363 125 260 0
+-442 776 474 0
+-615 -612 593 0
+233 -271 40 0
+661 248 -981 0
+-549 736 228 0
+565 -795 97 0
+706 -314 881 0
+-513 -476 -125 0
+54 721 822 0
+355 -327 -772 0
+-94 588 284 0
+-977 697 485 0
+-144 560 -671 0
+112 -780 324 0
+649 35 -134 0
+84 912 -265 0
+-705 21 858 0
+-224 -991 491 0
+930 -610 -668 0
+-956 -723 -845 0
+-694 798 527 0
+-208 726 594 0
+-151 311 279 0
+-347 -499 994 0
+679 195 -34 0
+-214 829 -895 0
+771 -106 -532 0
+684 855 942 0
+-323 552 -191 0
+-412 -8 -319 0
+327 -117 702 0
+-752 -663 234 0
+427 -92 846 0
+662 -736 -344 0
+164 774 -856 0
+-303 818 -889 0
+-791 -899 477 0
+-786 626 791 0
+-185 -589 -126 0
+964 314 466 0
+175 -299 -442 0
+-384 -545 -365 0
+-584 -719 -906 0
+901 -305 51 0
+-5 671 -804 0
+-895 417 55 0
+579 -693 586 0
+259 863 -872 0
+-176 -933 213 0
+829 437 24 0
+-322 -321 910 0
+-522 -696 641 0
+-682 -538 202 0
+108 450 798 0
+254 505 663 0
+-672 -420 116 0
+-652 -294 759 0
+-196 987 -572 0
+-219 -576 -261 0
+357 -975 -458 0
+164 -44 726 0
+-508 909 286 0
+-201 97 594 0
+-218 -198 776 0
+669 199 -655 0
+-146 822 360 0
+838 -958 372 0
+733 718 412 0
+-445 835 -924 0
+554 -488 155 0
+365 -834 -230 0
+-735 364 348 0
+540 -162 803 0
+-547 113 374 0
+-242 -569 -572 0
+-121 501 -174 0
+213 -815 -942 0
+370 758 492 0
+889 -733 -256 0
+636 -149 273 0
+543 176 -58 0
+92 941 402 0
+-683 -952 924 0
+788 -686 -56 0
+849 -866 155 0
+-121 837 323 0
+-578 866 277 0
+62 -504 857 0
+192 807 -944 0
+647 -350 -468 0
+816 967 -910 0
+-48 -745 285 0
+-894 -521 -397 0
+374 -616 905 0
+-968 -290 -854 0
+-770 747 -777 0
+610 779 -278 0
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MTTP-instances/mttp100.dat b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MTTP-instances/mttp100.dat
new file mode 100644
index 0000000..9d358cf
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MTTP-instances/mttp100.dat
@@ -0,0 +1,307 @@
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+
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+)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MTTP-instances/mttp20.dat b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MTTP-instances/mttp20.dat
new file mode 100644
index 0000000..9dde3f3
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/MTTP-instances/mttp20.dat
@@ -0,0 +1,84 @@
+20
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+
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+
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+)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ONEMAX-instances/format.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ONEMAX-instances/format.txt
new file mode 100644
index 0000000..179a679
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ONEMAX-instances/format.txt
@@ -0,0 +1 @@
+// dimension of the bitstring.
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ONEMAX-instances/onemax10.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ONEMAX-instances/onemax10.txt
new file mode 100644
index 0000000..f599e28
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/ONEMAX-instances/onemax10.txt
@@ -0,0 +1 @@
+10
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/RAS10.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/RAS10.txt
new file mode 100644
index 0000000..46fc036
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/RAS10.txt
@@ -0,0 +1,2 @@
+10
+-5.12 5.12
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/RAS20.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/RAS20.txt
new file mode 100644
index 0000000..1b596f1
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/RAS20.txt
@@ -0,0 +1,2 @@
+20
+-5.12 5.12
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/format.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/format.txt
new file mode 100644
index 0000000..5be6f83
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RAS-instances/format.txt
@@ -0,0 +1,2 @@
+// number of variables
+// range of the variables
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RND-instances/rnd149.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RND-instances/rnd149.txt
new file mode 100644
index 0000000..15c44e9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/RND-instances/rnd149.txt
@@ -0,0 +1 @@
+149
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/SPH10.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/SPH10.txt
new file mode 100644
index 0000000..46fc036
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/SPH10.txt
@@ -0,0 +1,2 @@
+10
+-5.12 5.12
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/SPH20.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/SPH20.txt
new file mode 100644
index 0000000..1b596f1
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/SPH20.txt
@@ -0,0 +1,2 @@
+20
+-5.12 5.12
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/format.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/format.txt
new file mode 100644
index 0000000..5be6f83
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/SPHERE-instances/format.txt
@@ -0,0 +1,2 @@
+// number of variables
+// range of the variables
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/format.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/format.txt
new file mode 100644
index 0000000..abccebe
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/format.txt
@@ -0,0 +1,3 @@
+// Number of customers, Vehicle capacity, Maximum time per route, Service time and best known cost
+// Depot Coordenates
+// Customer coordenates and demand
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpinfo.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpinfo.txt
new file mode 100644
index 0000000..a63a622
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpinfo.txt
@@ -0,0 +1,47 @@
+There are currently 24 data files.
+
+The first set of data files are the 10 test problems from
+Chapter 9 of S.Eilon, C.D.T.Watson-Gandy and N.Christofides
+"Distribution management: mathematical modelling and
+practical analysis" Griffin, London 1971.
+
+Test problems 1, 2, ..., 10 from Chapter 9 are available
+in files vrp1, vrp2, ..., vrp10 respectively.
+
+The format of these data files is apparent from the tables
+of data given in the above reference.
+
+The second set of data files are the 14 test problems from
+Chapter 11 of N.Christofides, A.Mingozzi, P.Toth and C.Sandi
+(eds) "Combinatorial optimization", John Wiley, Chichester 1979.
+
+Test problems 1, 2, ..., 14 from Chapter 11 are available
+in files vrpnc1, vrpnc2, ..., vrpnc14 respectively.
+
+The format of these data files is:
+number of customers, vehicle capacity, maximum route time, drop time
+depot x-coordinate, depot y-coordinate
+for each customer in turn: x-coordinate, y-coordinate, quantity
+
+Both sets of files are of size 15Kb (approximately).
+
+
+
+OTHER SOURCES
+
+Test data for vehicle routing problems is also available
+using the Web from http://www-apache.imag.fr/~paugerat/VRP/INSTANCES
+
+A variety of vehicle routing problems are also available from the
+elib library:
+telnet elib.zib.de and login as elib
+WWW access available at:
+ftp://ftp.zib.de/pub/Packages/mp-testdata/index.html
+
+
+
+A full listing of the problem areas covered by OR-library can
+be found in the file info
+
+ftp access available at mscmga.ms.ic.ac.uk
+WWW access available at http://mscmga.ms.ic.ac.uk/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc1.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc1.txt
new file mode 100644
index 0000000..fb9bd54
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc1.txt
@@ -0,0 +1,52 @@
+ 50 160 999999 0 524.61
+ 30 40
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc10.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc10.txt
new file mode 100644
index 0000000..bd6fc1b
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc10.txt
@@ -0,0 +1,201 @@
+ 199 200 200 10 865.94
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc11.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc11.txt
new file mode 100644
index 0000000..adea50e
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc11.txt
@@ -0,0 +1,122 @@
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc12.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc12.txt
new file mode 100644
index 0000000..939f5dd
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc12.txt
@@ -0,0 +1,102 @@
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc13.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc13.txt
new file mode 100644
index 0000000..975ff61
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc13.txt
@@ -0,0 +1,122 @@
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc14.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc14.txt
new file mode 100644
index 0000000..02946d9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc14.txt
@@ -0,0 +1,102 @@
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc2.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc2.txt
new file mode 100644
index 0000000..214012a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc2.txt
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc3.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc3.txt
new file mode 100644
index 0000000..8bfcc47
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc3.txt
@@ -0,0 +1,102 @@
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc4.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc4.txt
new file mode 100644
index 0000000..3faf64a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc4.txt
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc5.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc5.txt
new file mode 100644
index 0000000..3cacfb7
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc5.txt
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc6.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc6.txt
new file mode 100644
index 0000000..449fd5c
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc6.txt
@@ -0,0 +1,52 @@
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc7.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc7.txt
new file mode 100644
index 0000000..1b8aa97
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc7.txt
@@ -0,0 +1,77 @@
+ 75 140 160 10 1291.45
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc8.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc8.txt
new file mode 100644
index 0000000..0383887
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc8.txt
@@ -0,0 +1,102 @@
+ 100 200 230 10 555.43
+ 35 35
+ 41 49 10
+ 35 17 7
+ 55 45 13
+ 55 20 19
+ 15 30 26
+ 25 30 3
+ 20 50 5
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+ 55 60 16
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+ 27 69 10
+ 15 77 9
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+ 49 73 25
+ 67 5 25
+ 56 39 36
+ 37 47 6
+ 37 56 5
+ 57 68 15
+ 47 16 25
+ 44 17 9
+ 46 13 8
+ 49 11 18
+ 49 42 13
+ 53 43 14
+ 61 52 3
+ 57 48 23
+ 56 37 6
+ 55 54 26
+ 15 47 16
+ 14 37 11
+ 11 31 7
+ 16 22 41
+ 4 18 35
+ 28 18 26
+ 26 52 9
+ 26 35 15
+ 31 67 3
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc9.txt b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc9.txt
new file mode 100644
index 0000000..1910e87
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/ProblemInstances/VRP-instances/vrpnc9.txt
@@ -0,0 +1,152 @@
+ 150 200 200 10 909.68
+ 35 35
+ 41 49 10
+ 35 17 7
+ 55 45 13
+ 55 20 19
+ 15 30 26
+ 25 30 3
+ 20 50 5
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/README.md b/ProyectoFinal/AlgoritmoGenetico/malva/README.md
new file mode 100644
index 0000000..53d6d5d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/README.md
@@ -0,0 +1,278 @@
+## What is Malva?
+
+Malva is a fork of the MALLBA project. MALLBA is an effort to develop, in an integrated way, a
+library of skeletons for combinatorial optimization (including exact, heuristic and hybrid methods)
+that can deal with parallelism in a user-friendly and, at the same time, efficient manner.
+Its three target environments are sequential computers, LANs of workstations and WANs. The main features of MALLBA are:
+
+* Integration of all the skeletons under the same design principles.
+* Facility to switch from sequential to parallel optimization engines.
+By providing sequential implementations users obtain parallel implementations.
+* Cooperation between engines makes possible to provide more powerful hybrid engines.
+* Ready to use on commodity machines.
+* Flexible and extensible software architecture. New skeletons can easily be added, alternative communication layers
+can be used, etc.
+
+## How to install and compile Malva
+
+First of all, you have to install MPICH library. Get the instructions here: http://www.mpich.org/. In OSX, you can just
+type:
+
+ brew install mpich --disable-fortran
+
+Disabling Fortran is needed since we are working with C++ instead of Fortran.
+
+After that, you have to clone this repository using `git clone https://github.com/gabrielfagundez/malva`, and configure Malva modifying the `environment` file.
+
+Then, execute the following command:
+
+ make all
+
+Your Malva directory should contain the following content after the make:
+
+```
+ -rw-r--r-- 1 user users 378 sep 24 09:39 Makefile
+ drwxr-xr-x 4 user users 4096 sep 24 09:48 ProblemInstances
+ -rw-r--r-- 1 user users 345 sep 24 16:29 environment
+ drwxr-xr-x 2 user users 4096 sep 24 16:43 inc
+ drwxr-xr-x 2 user users 4096 sep 24 17:49 lib
+ drwxr-xr-x 5 user users 4096 sep 24 09:41 rep
+ drwxr-xr-x 2 user users 4096 sep 24 17:49 src
+```
+
+## Testing the installation
+
+Go to `MALLBA_DIR/rep_new/CHC` or `MALLBA_DIR/rep_new/GA` and execute `make SEQ` or `make LAN`. If you have in your console
+the result of the execution, everything looks great!
+
+## Important notes
+
+The only new fully-functional algorithms are the GA and the CHC.
+
+## Architecture
+
+Mallba skeletons are based on the separation of two concepts: the concrete problem to be solved and the general
+resolution method to be used. They can be seen as generic templates that just need to be instantiated with the
+features of a problem in order to solve it. All features related to the selected generic resolution method and
+its interaction with the concrete problem are implemented by the skeleton. While the particular features related
+to the problem must be given by the user, the knowledge to parallelize the execution of the resolution method is
+implemented in the skeleton, so that users do not need to deal with parallelism issues.
+
+The design of the Mallba library focuses on easy to use skeletons and general and efficient implementations.
+To achieve both objectives, the C++ programming language was selected due to its high level, modularity,
+flexibility and efficiency features. We have reduced to a minimum the use of inheritance and virtual methods in
+order to provide better efficiency and ease of use. To instantiate most problems, a basic knowledge of C++ is enough,
+and only sequential code without side effects is needed.
+
+Skeletons are implemented by a set of required and provided C++ classes that represent an abstraction of the entities
+participating in the resolution method. The provided classes implement internal aspects of the skeleton in a
+problem-independent way. The required classes specify information and behavior related to the problem.
+This conceptual separation allows us to define required classes with a fixed interface but without any implementation,
+so that provided classes can use required classes in a generic way.
+
+More specifically, each skeleton includes the Problem and Solution required classes, that encapsulate the
+problem-dependent entities needed by the resolution method. The Problem class abstracts the features of the
+problem that are relevant to the selected optimization method. The Solution class abstracts the features of the
+feasible solutions that are relevant to the selected resolution method. Depending on the skeleton, other classes
+may be required. On the other hand, each skeleton offers two provided classes: Solver and SetUpParams. The former
+abstracts the selected resolution method. The later contains the setup parameters needed to perform the execution
+(e.g. number of iterations, number of independent runs, parameters guiding the search, etc.). The Solver class provides
+methods to run the resolution scheme and methods to consult its progress or change its state. The only information the
+solver needs is an instance of the problem to solve and the setup parameters. In order to enable an skeleton to have
+different solver engines, the Solver class defines a unique interface and provides several subclasses that provide
+different sequential and parallel implementations (Solver_Seq, Solver_Lan and Solver_Wan). In Fig. 1 is shown the
+common design of Mallba skeletons.
+
+
+
+## Implementation
+
+The implementation of each skeleton is contained in three files:
+
+* <skeleton>.hh: The file containing the definition of all classes (provides and requires).
+* <skeleton>.pro.cc: The file containing the source code of the classes needed for the internal implementation of the method.
+* <skeleton>.req.cc: The source file where all the required classes will be implemented.
+
+In additional, the user must configure the method parameters in the file <skeleton>.cfg.
+
+## Supported Algorithms
+
+### Genetic Algorithm
+
+A Genetic Algorithm is an evolutionary computation technique inspired by the principles of natural selection to search
+a solution space. It evolves a population of individuals encoded as chromosomes by creating new generations of
+offsprings through an iterative process until some convergence criteria or conditions are met. The best chromosome
+generated is then decoded, providing the corresponding solution. The underlying reproduction process is mainly aimed
+at improving the fitness of individuals, a measure of profit, utility or goodness to be maximized (or minimized) while
+exploring the solution space. The algorithm applies stochastic operators such as selection, crossover, and mutation,
+on an initially random population in order to compute a new generation of individuals. The whole process is sketched
+in the following figure.
+
+```
+ 1 t = 0
+ 2 initialize P(t)
+ 3 evaluate structures in P(t)
+ 4 while not end do
+ 5 t = t + 1
+ 6 select C(t) from P(t-1)
+ 7 recombine structures in C(t) forming C'(t)
+ 8 mutate structures in C'(t) forming C''(t)
+ 9 evaluate structures in C''(t)
+10 replace P(t) from C''(t) and/or P(t-1)
+```
+
+It can be seen that the algorithm comprises three major stages: selection, reproduction and replacement. During the
+selection stage, a temporary population is created in which the fittest individuals (those corresponding to the best
+solutions contained in the population) have a higher number of instances than those less fit (natural selection). The
+reproductive operators are applied to the individuals in this population yielding a new population. Finally, individuals
+of the original population are substituted by the new created individuals. This replacement usually tries to keep the
+best individuals deleting the worst ones. The whole process is repeated until a certain termination criterion is
+achieved (usually after a given number of iterations).
+
+The Genetic Algorithm skeleton (GA) requires the classes:
+
+* Problem
+* Solution
+* Crossover
+* Mutation
+
+The class Problem corresponds to the definition of a problem instance. The skeleton filler must provide a complete
+definition of this class.
+
+The class Solution corresponds to the definition of a solution (feasible or not) of a problem instance. The skeleton
+filler must provide a complete definition of the class Solution.
+
+The class Crossover corresponds to the definition of a crossover operator. The skeleton filler must provide a complete
+definition of this class.
+
+And finally, the class Mutation corresponds to the definition of a mutation operator. The skeleton filler must provide
+a complete definition of this class.
+
+In adition, the user must configure the following algorithm parameters (in file GA.cfg):
+
+* number of independent runs.
+* number of generations.
+* size of population.
+* size of offsprings in each generation.
+* replace mode (if replaces parents for offsprings, or only offsprings may be new parents).
+* Selection operators parameters (selection of parents and selection of offsprings parameters).
+* Intra operators parameters (crossover and mutation parameters).
+* Inter operators (operators to apply between sub-populations) parameters: operator number, operator rate, number of individuals and selection of individual to send and replace.
+* Parallel Configuracion: interval of generation to refresh global state, running mode (synchronized or asyncronized) and interval of generations to check solutions from other populations.
+
+There are several basic steps to running a problem solve with GA skeleton:
+
+* Change to the problem directory
+
+ `cd Mallba/rep/GA/problem`
+
+* Compile skeleton.
+
+ `make`
+
+* Configure algorithm parameters (GA.cfg file)
+
+* Run problem:
+Sequential Version:
+
+```
+make SEQ
+ or
+MainSeq GA.cfg_path instance_path res_file_path
+```
+
+Parallel Version:
+
+Configure Config.cfg file.
+Configure pgfileLan (or pgfileWan) : machines where we run the program.
+Run
+
+```
+make LAN
+ or
+make WAN
+```
+
+### CHC
+
+A CHC is a non-traditional GA which combines a conservative selection strategy (that always preserves the best
+individuals found so far) with a highly disruptive recombination (HUX) that produces offsprings that are maximally
+different from their two parents. The traditional though of preferring a recombination operator with a low disrupting
+properties may not hold when such a conservative selection strategy is used. On the contrary, certain highly disruptive
+crossover operator provide more effective search in many problems, which represents the core idea behind the
+
+CHC search method. This algorithm introduce a new bias against mating individuals who are too similar (incest
+prevention). Mutation is not performed, instead, a restart process re-introduces diversity whenever convergence is
+detected.
+
+```
+ 1 t = 0
+ 2 initialize P(t)
+ 3 evaluate structures in P(t)
+ 4 while not end do
+ 5 t = t + 1
+ 6 select: C(t) = P(t-1)
+ 7 recombine: C'(t) = 'incest prevention' + HUX(C'(t))
+ 8 evaluate structures in C'(t)
+ 9 replace P(t) from C''(t) and P(t-1)
+10 if convergence(P(t))
+11 diverge P(t)
+```
+
+The CHC method skeleton (CHC) requires the classes:
+
+* Problem
+* Solution
+
+The class Problem corresponds to the definition of a problem instance. The skeleton filler must provide a complete
+definition of this class.
+
+And finally, the class Solution corresponds to the definition of a solution (feasible or not) of a problem instance.
+The skeleton filler must provide a complete definition of the class Solution.
+
+In adition, the user must configure the following algorithm parameters (in file CHC.cfg):
+
+* number of independent runs.
+* number of generations.
+* size of population.
+* Selection operator parameters (selection of new parents and the diverge method that the algorithm uses whenever the
+convergence is detected).
+* Intra operators parameters (crossover and mutation parameters).
+* Inter operators (operators to apply between sub-populations) parameters: operator number, operator rate, number of
+individuals and selection of individual to send and replace.
+* Parallel Configuracion: interval of generation to refresh global state, running mode (synchronized or asyncronized)
+and interval of generations to check solutions from other populations.
+
+There are several basic steps to running a problem solve with CHC skeleton:
+
+* Change to the problem directory
+
+ `cd Mallba/rep/CHC/problem`
+
+* Compile skeleton
+
+ `make`
+
+* Configure algorithm parameters (CHC.cfg file)
+
+* Run problem:
+
+Sequential Version:
+
+```
+make SEQ
+ or
+MainSeq GA.cfg_path instance_path res_file_path
+```
+
+Parallel Version:
+
+Configure Config.cfg file.
+Configure pgfileLan (or pgfileWan) : machines where we run the program.
+Run
+
+```
+make LAN
+ or
+make WAN
+```
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/environment b/ProyectoFinal/AlgoritmoGenetico/malva/environment
new file mode 100644
index 0000000..4976de6
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/environment
@@ -0,0 +1,19 @@
+# Malva Configuration.
+MALLBA_DIR=/ens/home01/g/gonzalo.menendez/AEPractico/malva
+
+# MPI library
+MPI_BIN=/lib64/mpich/bin
+# Malva information
+MALLBA_INC=${MALLBA_DIR}/src
+MALLBA_LIB=${MALLBA_DIR}/lib
+MALLBA_SRC=${MALLBA_DIR}/src
+MALLBA_REP=${MALLBA_DIR}/rep
+
+# Run variables
+CXX=$(MPI_BIN)/mpic++
+RUN=$(MPI_BIN)/mpirun
+
+# Other options: -g for debugging and -pg for profiling
+CPPFLAGS=-I$(MALLBA_INC) -Wno-deprecated -O3
+LDFLAGS=-L$(MALLBA_LIB)
+LOADLIBES=-lmallba -lm
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/inc/Mallba b/ProyectoFinal/AlgoritmoGenetico/malva/inc/Mallba
new file mode 100644
index 0000000..5cd551c
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/inc/Mallba
@@ -0,0 +1 @@
+../src
\ No newline at end of file
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/inc/inc.env b/ProyectoFinal/AlgoritmoGenetico/malva/inc/inc.env
new file mode 100644
index 0000000..3976b86
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/inc/inc.env
@@ -0,0 +1 @@
+ln -s ../src Mallba
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/lib/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/lib/Makefile
new file mode 100644
index 0000000..5bacf25
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/lib/Makefile
@@ -0,0 +1,8 @@
+all:
+ rm -f libmallba.a
+ ar -r libmallba.a ../src/*.o
+ ranlib libmallba.a
+
+clean:
+ rm -f libmallba.a
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/lib/libmallba.a b/ProyectoFinal/AlgoritmoGenetico/malva/lib/libmallba.a
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.cfg
new file mode 100644
index 0000000..0f6c796
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.cfg
@@ -0,0 +1,15 @@
+10 // number of independent runs
+100 // number of generations
+60 // number of individuals
+1 // display state ?
+Selection-Parameters // selections to apply
+0.9 1 0.5 // selection parameter , diverge operator & its probability
+Intra-Operators // operators to apply in the population
+0 0.8 // crossover & its probability
+Inter-Operators // operators to apply between this population and anothers
+0 25 5 1 3 1 5 // operator number, operator rate, number of individuals, selection of indidivual to send and remplace
+LAN-configuration
+101 // refresh global state
+1 // 0: running in asynchronized mode / 1: running in synchronized mode
+1 // interval of generations to check solutions from other populations
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.hh
new file mode 100644
index 0000000..0c89fe4
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.hh
@@ -0,0 +1,909 @@
+/*********************************************************************************************************
+*** ***
+*** CHC Skeleton v1.5 ***
+*** Developed by: Gabriel Jesús Luque Polo ***
+*** ***
+*** Last Update: 30-01-2004 ***
+*** ***
+**********************************************************************************************************/
+
+#ifndef INC_CHC
+#define INC_CHC
+#include "CHCstructures.hh"
+
+skeleton CHC
+{
+#define MAX_USER_OP 5
+#define MAX_PROB_PER_OP 5
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Population;
+ provides class Intra_Operator;
+ provides class Crossover;
+ provides class Diverge;
+ provides class Inter_Operator;
+ provides class Migration;
+ provides class Selection;
+ provides class Selection_New_Population;
+ provides class Selection_Parents;
+ provides class Operator_Pool;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+ provides class StopCondition;
+
+ requires class Problem;
+ requires class Solution;
+ requires class UserStatistics;
+ requires class User_Operator;
+ requires class StopCondition_1;
+ requires bool terminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+ int dimension() const;
+
+ private:
+
+ int _dimension;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_cadena_);
+
+ void initialize();
+ double fitness () const;
+ unsigned int size() const;
+
+ int lengthInBits() const;
+ void flip(const int index);
+ bool equalb(const int index,Solution &s);
+ void swap(const int index, Solution &s);
+ void invalid();
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluation_best_found_trial;
+ unsigned long nb_iteration_best_found_trial;
+ double best_cost_trial;
+ double worst_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Intra_Operator ( clase abstracta ) --------------------------------------------------------------
+
+ provides class Intra_Operator
+ {
+ protected:
+ unsigned int _number_operator;
+ float *probability;
+
+ public:
+ Intra_Operator(const unsigned int _number_op);
+ virtual ~Intra_Operator();
+
+ static Intra_Operator *create(const unsigned int _number_op);
+ friend ostream& operator<< (ostream& os, const Intra_Operator& intra);
+
+ virtual void execute(Rarray<Solution*>& sols) const=0;
+ virtual void setup(char line[MAX_BUFFER]) = 0;
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const=0;
+ virtual void UpdateFromState(const StateCenter& _sc)=0;
+ };
+
+// Crossover ----------------------------------------------------------------------------------
+
+ provides class Crossover: public Intra_Operator
+ {
+ public:
+ Crossover();
+ virtual ~Crossover();
+
+ friend ostream& operator << (ostream& os, const Crossover& cross);
+
+ void cross(Solution &sol1,Solution &sol2) const;
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Diverge ----------------------------------------------------------------------------------
+
+ provides class Diverge: public Intra_Operator
+ {
+ public:
+ Diverge();
+ virtual ~Diverge();
+
+ friend ostream& operator<< (ostream& os, const Diverge& diverge);
+
+ void diverge(Solution& s) const;
+ // applies mutation over all solutions in array sols
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// User_Operator ----------------------------------------------------------------------------------
+
+ requires class User_Operator: public Intra_Operator
+ {
+ public:
+ User_Operator(const unsigned int _number_op);
+ virtual ~User_Operator();
+
+ static Intra_Operator *create(const unsigned int _number_op);
+ friend ostream& operator<< (ostream& os, const User_Operator& User_Operator);
+
+ // applies mutation over all solutions in array sols
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// StopCondition -----------------------------------------------------------------------------------
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+// StopCondition_1 -----------------------------------------------------------------------------------
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _nb_evolution_steps;
+ unsigned long _nb_iteration_steps;
+ unsigned int _population_size; // number of individuals
+ bool _display_state;
+
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _check_asynchronous;
+
+ // selection of parents and offsprings
+ mutable unsigned int _select_parents;
+ mutable unsigned int _select_offsprings;
+
+ Rlist<unsigned int> _intra_operators;
+ Rlist<unsigned int> _inter_operators;
+
+ Operator_Pool& _pool;
+
+ public:
+ SetUpParams (Operator_Pool& pool);
+ Operator_Pool& pool() const;
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long nb_evolution_steps() const;
+ const unsigned int population_size() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int check_asynchronous() const;
+
+ void independent_runs(const unsigned int val);
+ void nb_evolution_steps(const unsigned long val);
+ void population_size(const unsigned int val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void check_asynchronous(const unsigned int val);
+
+ // gets the i-th operator of inter-population
+ const unsigned int inter_operator_index(const unsigned int index) const;
+ const unsigned int inter_operators_size() const;
+
+ // gets the i-th operator of intra-population
+ const unsigned int intra_operator_index(const unsigned int index) const;
+ const unsigned int intra_operators_size() const;
+
+ const unsigned int select_parents() const;
+ const unsigned int select_offsprings() const;
+
+ void select_parents(const unsigned int val);
+ void select_offsprings(const unsigned int val);
+
+ void RefreshState(const StateCenter& _sc) const;
+ void UpdateFromState(const StateCenter& _sc) const;
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_generation;
+ unsigned long nb_evaluation;
+ double best_cost;
+ double global_best_cost;
+ double average_cost;
+ double standard_deviation;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+ ~Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Population ---------------------------------------------------------------------------------
+
+ provides class Population
+ {
+ private:
+ Rarray<Solution*> _parents; // individuals in population
+ Rarray<Solution*> _offsprings; // offsprings of current population
+ Rarray<Solution*> _new_parents; // individuals of previous population
+ Rarray<struct individual> _fitness_values;
+ Rarray<struct individual> _fitness_aux;
+ const SetUpParams& _setup;
+ unsigned int _upper_cost,_lower_cost; // lower and upper fitness of individuals in population
+ unsigned int _evaluations;
+ double _average_cost;
+
+ public:
+ inline void Evaluate(Solution *s, struct individual & _f);
+
+ Population(const Problem& pbm,const SetUpParams& setup); // crea un array de objetos population;
+ ~Population();
+
+ friend ostream& operator<< (ostream& os, const Population& population);
+ friend istream& operator>> (istream& is, Population& population);
+ Population& operator= (const Population& pop);
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+ void initialize();
+
+ // Generate a new pool of individuals in population
+ void evolution();
+
+ // interchange solutions between island
+ void interchange(const unsigned long current_generation, NetStream& channel);
+
+ // creates a array with fitness of all individuals in population and its position in the population
+ void evaluate_parents();
+
+ // creates a array with fitness of all individuals and offsprings in population and its position in the population
+ void evaluate_offsprings();
+
+ // selects parents to creates offsprings
+ void select_parents();
+
+ // selects individuals for the new population
+ void select_offsprings();
+
+ const Rarray<Solution*>& parents() const;
+ const Rarray<Solution*>& offsprings() const;
+ Rarray<struct individual>& fitness_values();
+
+ unsigned int upper_cost() const;
+ unsigned int lower_cost() const;
+ unsigned int evaluations() const;
+ Solution& solution(const unsigned int index) const;
+ double fitness(const unsigned int index) const;
+
+ double best_cost() const;
+ double worst_cost() const;
+ Solution& best_solution() const;
+ Solution& worst_solution() const;
+ double average_cost() const;
+ double standard_deviation() const;
+ };
+
+// Inter_Operator ( abstract )-----------------------------------------------------------
+
+ provides class Inter_Operator
+ {
+ protected:
+ unsigned int migration_rate;
+ unsigned int migration_size;
+ unsigned int migration_selection_1;
+ unsigned int migration_selection_2;
+ unsigned int migration_selection_conf_1;
+ unsigned int migration_selection_conf_2;
+
+ unsigned int _number_operator;
+ const Direction direction;
+
+ public:
+ Inter_Operator(const unsigned int _number_op, const Direction dir);
+ virtual ~Inter_Operator();
+
+ friend ostream& operator<< (ostream& os, const Inter_Operator& inter);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const=0;
+ virtual void setup(char line[MAX_BUFFER]);
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Migration: public Inter_Operator -----------------------------------------------------------
+
+ provides class Migration: public Inter_Operator
+ {
+ public:
+ Migration(const Direction dir);
+ virtual ~Migration();
+
+ friend ostream& operator<< (ostream& os, const Migration& migration);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const;
+ };
+
+// Selection ---------------------------------------------------------
+
+ provides class Selection
+ {
+ protected:
+ unsigned int _number_selection;
+ const Direction direction;
+
+ public:
+
+ Selection(const Direction dir);
+ Selection(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection();
+
+ friend ostream& operator<< (ostream& os, const Selection& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ unsigned int number_selection() const;
+
+ virtual void setup(char line[MAX_BUFFER]);
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+
+ };
+
+// Selection_Parents ---------------------------------------------------------------------------------
+
+ provides class Selection_Parents: public Selection
+ {
+ private:
+ mutable unsigned int selection_position;
+
+ public:
+ Selection_Parents(const Direction dir);
+ virtual ~Selection_Parents();
+
+ friend ostream& operator<< (ostream& os, const Selection_Parents& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const;
+ };
+
+// Selection_New_Population ---------------------------------------------------------------------------
+
+ provides class Selection_New_Population: public Selection
+ {
+ private:
+ mutable unsigned int selection_position;
+ mutable int d;
+ Intra_Operator *diverge;
+ float r;
+
+ public:
+ Selection_New_Population(const Direction dir);
+ virtual ~Selection_New_Population();
+
+ friend ostream& operator<< (ostream& os, const Selection_New_Population& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const;
+
+ virtual void setup(char line[MAX_BUFFER]);
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Selection_Tournament ---------------------------------------------------------------------------------
+
+ provides class Selection_Tournament: public Selection
+ {
+ public:
+ Selection_Tournament(const Direction dir);
+ virtual ~Selection_Tournament();
+
+ friend ostream& operator<< (ostream& os, const Selection_Tournament& sel);
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tourment_size,const bool remplace) const;
+ };
+
+// Selection_Roulette_Wheel ---------------------------------------------------------------------------------
+
+ provides class Selection_Roulette_Wheel: public Selection
+ {
+ public:
+ Selection_Roulette_Wheel(const Direction);
+ virtual ~Selection_Roulette_Wheel();
+
+ friend ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ };
+
+// Selection_Rank ---------------------------------------------------------------------------------
+
+ provides class Selection_Rank: public Selection
+ {
+ public:
+ Selection_Rank(const Direction dir);
+ Selection_Rank(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection_Rank();
+
+ friend ostream& operator<< (ostream& os, const Selection_Rank& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual void reset();
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const;
+ };
+
+// Selection_Best ---------------------------------------------------------------------------------
+
+ provides class Selection_Best: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_best_position;
+
+ public:
+ Selection_Best(const Direction);
+ virtual ~Selection_Best();
+
+ friend ostream& operator<< (ostream& os, const Selection_Best& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Selection_Worst ---------------------------------------------------------------------------------
+
+ provides class Selection_Worst: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_worst_position;
+
+ public:
+ Selection_Worst(const Direction);
+ virtual ~Selection_Worst();
+
+ friend ostream& operator<< (ostream& os, const Selection_Worst& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Operator_Pool -------------------------------------------------------------------------
+
+ // pool with all operators and selections that can be chosen in the setup file
+ provides class Operator_Pool
+ {
+ private:
+ mutable Rlist<Intra_Operator> _intra_operators;
+ Rlist<Selection> _selectors;
+ Rlist<Inter_Operator> _inter_operators;
+
+ public:
+ Operator_Pool(const Problem& pbm);
+ ~Operator_Pool();
+
+ Intra_Operator& intra_operator(const unsigned int index) const;
+ Rlist<Intra_Operator>& intra_operators() const;
+ Selection& selector(const unsigned int index) const;
+ const Rlist<Selection>& selectors() const;
+ Inter_Operator& inter_operator(const unsigned int index) const;
+ const Rlist<Inter_Operator>& inter_operators() const;
+
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Population current_population;
+ StateCenter _sc;
+
+ double best_cost;
+ double worst_cost;
+ Solution best_solution;
+ double average_cost;
+ double standard_deviation;
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_evaluations;
+
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_worst_cost;
+ State_Vble _current_average_cost;
+ State_Vble _current_standard_deviation;
+ State_Vble _current_time_spent;
+
+ State_Vble _best_solution_trial;
+ State_Vble _best_cost_trial;
+ State_Vble _worst_cost_trial;
+ State_Vble _iteration_best_found_in_trial;
+ State_Vble _evaluations_best_found_in_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _evaluations_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _global_worst_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _crossover_probability; // probability of applying the operator over population
+ State_Vble _diverge_probability; // probability of applying the operator over population
+ State_Vble _user_op_probability[MAX_USER_OP]; // probabilities of user operators
+ State_Vble _migration_rate;
+ State_Vble _migration_size;
+ State_Vble _migration_selection_1;
+ State_Vble _migration_selection_2;
+ State_Vble _migration_selection_conf_1;
+ State_Vble _migration_selection_conf_2;
+ State_Vble _select_parents;
+ State_Vble _select_offsprings;
+ State_Vble _parameter_select_new_pop;
+
+ State_Vble _display_state;
+
+ public:
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+
+ virtual int pid() const;
+ bool end_trial() const;
+ void end_trial(bool et);
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (const unsigned long int nb_generations) =0;
+ virtual void run (const Population& pop,const unsigned long int nb_generations) =0;
+
+ //Partial execution
+ virtual void StartUp()=0;
+ virtual void StartUp(const Population& pop)=0;
+
+ virtual void DoStep()=0;
+
+ // Statistics handling ----------------------------------------------------------------------
+
+ Statistics& statistics();
+ UserStatistics& userstatistics ();
+ Population& population();
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling ---------------------------------------------------------------------------
+
+ void RefreshState();
+ void RefreshCfgState();
+ void UpdateFromState();
+ void UpdateFromCfgState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ unsigned long current_evaluations() const;
+ Solution current_best_solution() const;
+ double current_best_cost() const;
+ double current_worst_cost() const;
+ double current_average_cost() const;
+ double current_standard_deviation() const;
+ float current_time_spent() const;
+ Solution best_solution_trial() const;
+ double best_cost_trial() const;
+ double worst_cost_trial() const;
+ unsigned int iteration_best_found_in_trial() const;
+ unsigned int evaluations_best_found_in_trial() const;
+ float time_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ unsigned int evaluations_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ double global_worst_cost() const;
+ float time_best_found() const;
+ int display_state() const;
+
+ float *crossover_probability() const;
+ float *diverge_probability() const;
+ float *user_op_probability(const int index) const;
+ unsigned int migration_rate() const;
+ unsigned int migration_size() const;
+ unsigned int migration_selection_1() const;
+ unsigned int migration_selection_2() const;
+ unsigned int migration_selection_conf_1() const;
+ unsigned int migration_selection_conf_2() const;
+ unsigned int select_parents() const;
+ unsigned int select_offprings() const;
+ float parameter_select_new_pop() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_evaluations(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_worst_cost(const double value);
+ void current_average_cost(const double value);
+ void current_standard_deviation(const double value);
+ void current_time_spent(const float value);
+ void best_solution_trial(const Solution& sol);
+ void best_cost_trial(const double value);
+ void worst_cost_trial(const double value);
+ void iteration_best_found_in_trial(const unsigned int value);
+ void evaluations_best_found_in_trial(const unsigned int value);
+ void time_best_found_trial(const float value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void evaluations_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void global_worst_cost(const double value);
+ void time_best_found(const float value);
+ void display_state(const int value);
+
+ void crossover_probability(const float *probability);
+ void diverge_probability(const float *probability);
+ void user_op_probability(const int index,const float *probability);
+ void migration_rate(const unsigned int rate);
+ void migration_size(const unsigned int size);
+ void migration_selection_1(const unsigned int seleciton_1);
+ void migration_selection_2(const unsigned int selection_2);
+ void migration_selection_conf_1(const unsigned int selection_conf_1);
+ void migration_selection_conf_2(const unsigned int selection_conf_2);
+ void select_parents(const unsigned int selection);
+ void select_offsprings(const unsigned int selection);
+ void parameter_select_new_pop(const float value);
+
+ void KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_trial,const float total_time_spent);
+
+ void show_state() const;
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state();
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ int acum_iterations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state();
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ int acum_iterations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ void reset();
+ };
+
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.pro.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.pro.cc
new file mode 100644
index 0000000..65672fd
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.pro.cc
@@ -0,0 +1,3033 @@
+#include "CHC.hh"
+
+skeleton CHC
+{
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams (Operator_Pool& pool)
+ : _independent_runs(0),
+ _nb_evolution_steps(0),
+ _population_size(0),
+ _select_parents(6), // Selection of parents: Select all individuals. (fixed)
+ _select_offsprings(7), // Selection of offspring : Select the best individuals. (fixed)
+ _inter_operators(),
+ _intra_operators(),
+ _refresh_global_state(1),
+ _synchronized(0),
+ _check_asynchronous(1),
+ _display_state(0),
+ _pool(pool)
+ {}
+
+ Operator_Pool& SetUpParams::pool() const
+ {
+ return _pool;
+ }
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ long op;
+ int parameter;
+ short int nb_section=0;
+ short int nb_io = 0;
+ short int nb_param=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"Selection-Parameters"))) nb_section=1;
+ if (!(strcmp(command,"Intra-Operators"))) nb_section=2;
+ if (!(strcmp(command,"Inter-Operators"))) nb_section=3;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=4;
+
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.nb_evolution_steps(op); break;
+ case 2: setup.population_size(op); break;
+ case 3: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: setup.pool().selector(setup.select_offsprings()).setup(buffer);
+ break;
+ case 2: setup.pool().intra_operators().append(Intra_Operator::create(op));
+ setup.pool().intra_operator(nb_io).setup(buffer);
+ setup._intra_operators.append(new unsigned int(nb_io));
+ nb_io++;
+ break;
+ case 3: setup._inter_operators.append(new unsigned int(op));
+ setup.pool().inter_operator(op).setup(buffer);
+ break;
+ case 4: if (nb_LAN_param>=3) break;
+ switch (nb_LAN_param)
+ {
+ case 0: setup.refresh_global_state(op); break;
+ case 1: setup.synchronized(op); break;
+ case 2: assert(op>0);
+ setup.check_asynchronous(op); break;
+ }
+ nb_LAN_param++;
+ break;
+ }
+ }
+
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evolution steps: " << setup.nb_evolution_steps() << endl
+ << "\t" << "Size of Population: " << setup.population_size() << endl;
+ os << "\t" <<"With combination between parents and offsprings" << endl;
+
+ os << "\t" << "Display State: " << setup.display_state() << endl << endl
+ << "\t" << "Selections:" << endl
+ << "\t" << "-----------" << endl << endl
+ << "\t" << "Selection parents -> " << setup.pool().selector(setup.select_parents()) << endl
+ << "\t" << "Selection offsprings -> " << setup.pool().selector(setup.select_offsprings()) << endl
+ << "\t" << "Intra_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.intra_operators_size();i++)
+ os << "\t" << (setup.pool().intra_operator(setup.intra_operator_index(i))) << endl;
+
+ os << endl << "\t" << "Inter_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.inter_operators_size();i++)
+ os << "\t" << "Operator: " << setup.pool().inter_operator(setup.inter_operator_index(i)) << endl;
+
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+ os << "\t" << "Interval for checking asynchronous receptions: " << setup.check_asynchronous() << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ continue_question();
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::nb_evolution_steps() const
+ {
+ return _nb_evolution_steps;
+ }
+
+ const unsigned int SetUpParams::population_size() const
+ {
+ return _population_size;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::check_asynchronous() const
+ {
+ return _check_asynchronous;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs=val;
+ }
+
+ void SetUpParams::nb_evolution_steps(const unsigned long val)
+ {
+ _nb_evolution_steps=val;
+ }
+
+ void SetUpParams::population_size(const unsigned int val)
+ {
+ _population_size=val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::check_asynchronous(const unsigned int val)
+ {
+ _check_asynchronous=val;
+ }
+
+ const unsigned int SetUpParams::select_parents() const
+ {
+ return _select_parents;
+ }
+
+ const unsigned int SetUpParams::select_offsprings() const
+ {
+ return _select_offsprings;
+ }
+
+ void SetUpParams::select_parents(const unsigned int val)
+ {
+ _select_parents=val;
+ }
+
+ void SetUpParams::select_offsprings(const unsigned int val)
+ {
+ _select_offsprings=val;
+ }
+
+ const unsigned int SetUpParams::intra_operator_index(const unsigned int index) const
+ {
+ return _intra_operators[index];
+ }
+
+ const unsigned int SetUpParams::intra_operators_size() const
+ {
+ return _intra_operators.size();
+ }
+
+ const unsigned int SetUpParams::inter_operator_index(const unsigned int index) const
+ {
+ return _inter_operators[index];
+ }
+
+ const unsigned int SetUpParams::inter_operators_size() const
+ {
+ return _inter_operators.size();
+ }
+
+ void SetUpParams::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&_select_parents,1,sizeof(_select_parents));
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,1,sizeof(_select_offsprings));
+ _sc.set_contents_state_variable("_display_state",(char *)&_display_state,1,sizeof(bool));
+ }
+
+ void SetUpParams::UpdateFromState(const StateCenter& _sc) const
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&_select_parents,nbytes,length);
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,nbytes,length);
+ _sc.get_contents_state_variable("_display_state",(char *)&_display_state,nbytes,length);
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Trial: " << stats.stats_data[i].trial
+ << " Generation: " << stats.stats_data[i].nb_generation
+ << " Evaluation: " << stats.stats_data[i].nb_evaluation
+ << " Current best cost: " << stats.stats_data[i].best_cost
+ << " Global best cost: " << stats.stats_data[i].global_best_cost
+ << " Avg: " << stats.stats_data[i].average_cost
+ << " Std. Dev.: " << stats.stats_data[i].standard_deviation;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ struct stat *new_stat=(struct stat *)malloc(sizeof(struct stat));
+
+ new_stat->trial=solver.current_trial();
+ new_stat->nb_generation=solver.current_iteration();
+ new_stat->nb_evaluation=solver.current_evaluations();
+ new_stat->average_cost=solver.current_average_cost();
+ new_stat->standard_deviation=solver.current_standard_deviation();
+ new_stat->best_cost=solver.current_best_cost();
+ new_stat->global_best_cost=solver.global_best_cost();
+
+ stats_data.append(*new_stat);
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+ Statistics::~Statistics()
+ {}
+
+// Population ------------------------------------------------------
+
+ Population::Population(const Problem& pbm,const SetUpParams& setup)
+ :_parents(setup.population_size()),
+ _fitness_values(setup.population_size()),
+ _new_parents(setup.population_size()),
+ _offsprings(setup.population_size()),
+ _setup(setup),
+ _evaluations(0)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]=new Solution(pbm);
+ _new_parents[i]=new Solution(pbm);
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ for (int i=0;i<_offsprings.size();i++)
+ _offsprings[i]=new Solution(pbm);
+
+ }
+
+ void Population::Evaluate(Solution* sols,struct individual &_f)
+ {
+ if(_f.change)
+ {
+ _f.change = false;
+ _f.fitness = sols->fitness();
+ _evaluations++;
+ }
+ }
+
+ Population& Population::operator= (const Population& pop)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ *_parents[i]=*((pop.parents())[i]);
+ _fitness_values[i] = pop._fitness_values[i];
+ _evaluations = pop._evaluations;
+ }
+ return (*this);
+ }
+
+ istream& operator>> (istream& is, Population& population)
+ {
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Population& population)
+ {
+ os << "---------------------------------------------------------------" << endl;
+ os << " PRESENT POPULATION " << endl << endl;
+ for (int i=0;i<population._parents.size();i++)
+ os << *population._parents[i] << endl;
+ os << endl << "---------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ const SetUpParams& Population::setup() const
+ {
+ return _setup;
+ }
+
+ void Population::initialize()
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]->initialize();
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ evaluate_parents();
+ }
+
+ void Population::evaluate_parents()
+ {
+ double upper_fitness=(infinity() * (-1));
+ double lower_fitness=(infinity());
+ double current_fitness;
+ double cost=0.0;
+
+ for (int i=0;i<_fitness_values.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ current_fitness = _fitness_values[i].fitness;
+
+ if (current_fitness > upper_fitness )
+ {
+ _upper_cost=i;
+ upper_fitness = current_fitness;
+ }
+
+ if (current_fitness < lower_fitness )
+ {
+ _lower_cost=i;
+ lower_fitness = current_fitness;
+ }
+
+ cost += current_fitness;
+ }
+
+ _average_cost = cost / _fitness_values.size();
+ }
+
+ void Population::evaluate_offsprings()
+ {
+ int i=0;
+
+ _fitness_aux=Rarray<struct individual>(_parents.size() + _offsprings.size());
+ for (i=0;i<_parents.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ _fitness_aux[i] = _fitness_values[i];
+ }
+
+ for (int j=i;(j-i)<_offsprings.size();j++)
+ {
+ _fitness_aux[j].index=j;
+ _fitness_aux[j].change=true;
+ Evaluate(_offsprings[j-i],_fitness_aux[j]);
+ }
+ }
+
+ void Population::evolution()
+ {
+ select_parents(); // selects individuals to apply operators
+
+ // apply selected operators
+ for (int i=0;i<_setup.intra_operators_size();i++)
+ _setup.pool().intra_operator(_setup.intra_operator_index(i)).execute(_offsprings);
+
+ evaluate_offsprings();
+ select_offsprings(); // selects new individuals
+ evaluate_parents(); // calculates fitness of new individuals
+ }
+
+ void Population::interchange(const unsigned long current_generation, NetStream& channel)
+ {
+ // apply selected operators
+ for (int i=0;i<_setup.inter_operators_size();i++)
+ _setup.pool().inter_operator(_setup.inter_operator_index(i)).execute((*this),current_generation,channel,_setup.synchronized(),_setup.check_asynchronous());
+ }
+
+ void Population::select_parents()
+ {
+ _setup.pool().selector(_setup.select_parents()).prepare(_fitness_values,false);
+ struct individual ind;
+ for (int i=0;i<_offsprings.size();i++)
+ {
+ ind = _setup.pool().selector(_setup.select_parents()).select_one(_parents,_offsprings,_fitness_values,0,false);
+ *_offsprings[i] = *_parents[ind.index];
+ }
+ }
+
+ void Population::select_offsprings()
+ {
+ _setup.pool().selector(_setup.select_offsprings()).prepare(_fitness_aux,false);
+ const int ps = _parents.size();
+ Rarray<struct individual> aux(ps);
+
+ for (int i=0;i<ps;i++)
+ {
+ aux[i] = _setup.pool().selector(_setup.select_offsprings()).select_one(_parents,_offsprings,_fitness_aux,0,false);
+ if(aux[i].index < ps)
+ {
+ *_new_parents[i] = *_parents[aux[i].index];
+ aux[i].index = i;
+ }
+ else
+ {
+ *_new_parents[i] = *_offsprings[aux[i].index-ps];
+ aux[i].index = i;
+ }
+ }
+
+ Solution *interchange;
+ for (int i=0;i<ps;i++)
+ {
+ interchange=_parents[i];
+ _parents[i]=_new_parents[i]; // interchanges pointers to solutions ( NO solutions !! )
+ _new_parents[i]=interchange;
+ }
+
+ for (int i=0;i<ps;i++)
+ {
+ _fitness_values[i] = aux[i];
+ }
+ }
+
+ const Rarray<Solution*>& Population::parents() const
+ {
+ return _parents;
+ }
+
+ const Rarray<Solution*>& Population::offsprings() const
+ {
+ return _offsprings;
+ }
+
+ Rarray<struct individual>& Population::fitness_values()
+ {
+ return _fitness_values;
+ }
+
+ unsigned int Population::upper_cost() const
+ {
+ return _upper_cost;
+ }
+
+ unsigned int Population::lower_cost() const
+ {
+ return _lower_cost;
+ }
+
+ unsigned int Population::evaluations() const
+ {
+ return _evaluations;
+ }
+
+ double Population::best_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_lower_cost].fitness;
+ else
+ return _fitness_values[_upper_cost].fitness;
+ }
+
+ double Population::worst_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_upper_cost].fitness;
+ else
+ return _fitness_values[_lower_cost].fitness;
+ }
+
+ Solution& Population::best_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_lower_cost].index];
+ else
+ return *_parents[_fitness_values[_upper_cost].index];
+ }
+
+ Solution& Population::worst_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_upper_cost].index];
+ else
+ return *_parents[_fitness_values[_lower_cost].index];
+ }
+
+ Solution& Population::solution(const unsigned int index) const
+ {
+ return *_parents[index];
+ }
+
+ double Population::fitness(const unsigned int index) const
+ {
+ return _fitness_values[index].fitness;
+ }
+
+ double Population::average_cost() const
+ {
+ return _average_cost;
+ }
+
+ double Population::standard_deviation() const
+ {
+ double standard=0.0;
+ for (int i=0;i<_fitness_values.size();i++)
+ standard += pow ((_fitness_values[i].fitness - _average_cost),2);
+ standard=sqrt(standard / (_fitness_values.size()-1));
+ return standard;
+ }
+
+ Population::~Population()
+ {
+ for (int i=0;i<_parents.size();i++)
+ delete(_parents[i]);
+ for (int i=0;i<_offsprings.size();i++)
+ delete(_offsprings[i]);
+ for (int j=0;j<_new_parents.size();j++)
+ delete(_new_parents[j]);
+ }
+
+// Intra_operator --------------------------------------------------------------
+
+ Intra_Operator::Intra_Operator(const unsigned int _number_op):_number_operator(_number_op),probability(NULL)
+ {}
+
+ unsigned int Intra_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ Intra_Operator *Intra_Operator::create(unsigned int _number_op)
+ {
+ switch (_number_op)
+ {
+ case 0: return new Crossover();break;
+ case 1: return new Diverge();break;
+ default: return User_Operator::create(_number_op); break;
+ }
+ }
+
+ ostream& operator<< (ostream& os, const Intra_Operator& intra)
+ {
+ switch (intra.number_operator())
+ {
+ case 0: os << (Crossover&)intra;break;
+ case 1: os << (Diverge&)intra;break;
+ default: os << (User_Operator&)intra;break;
+ }
+ return os;
+ }
+
+ Intra_Operator::~Intra_Operator()
+ {}
+
+// Crossover:Intra_operator -------------------------------------------------------------
+
+ Crossover::Crossover():Intra_Operator(0)
+ {
+ probability = new float[1];
+ probability[0] = -1.0;
+ }
+
+ void Crossover::cross(Solution& sol1,Solution& sol2) const // dadas dos soluciones de la poblacion, las cruza
+ {
+ int dh = 0;
+
+ if(probability[0] <= 0.0)
+ {
+ probability[0] = sol1.lengthInBits()/4;
+ }
+
+ for(int i = 0; i < sol1.lengthInBits();i++)
+ if(!sol1.equalb(i,sol2)) dh++;
+
+ if((dh/2) > probability[0])
+ {
+ for(int i = 0; i < sol1.lengthInBits();i++)
+ if((!sol1.equalb(i,sol2)) && (0.5 <= rand01()))
+ {
+ sol1.swap(i,sol2);
+ }
+ }
+ else
+ {
+ sol1.invalid();
+ sol2.invalid();
+ }
+ }
+
+ void Crossover::execute(Rarray<Solution*>& sols) const
+ {
+ for(int i=0;i+1<sols.size();i=i+2)
+ cross(*sols[i],*sols[i+1]);
+ }
+
+ ostream& operator<< (ostream& os, const Crossover& cross)
+ {
+ os << "Crossover.";
+ return os;
+ }
+
+ void Crossover::RefreshState(const StateCenter& _sc) const
+ {}
+
+ void Crossover::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_parameter_select_new_pop",(char *)probability,nbytes,length);
+ }
+
+ void Crossover::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d ",&op);
+ }
+
+ Crossover::~Crossover()
+ {
+ delete [] probability;
+ }
+
+
+// Diverge: Sub_operator -------------------------------------------------------------
+
+ Diverge::Diverge():Intra_Operator(1)
+ {
+ probability = new float[1];
+ }
+
+ void Diverge::diverge(Solution& sol) const
+ {
+ for(int i = 0; i < sol.lengthInBits(); i++)
+ if(rand01() < probability[0]) sol.flip(i);
+ }
+
+ void Diverge::execute(Rarray<Solution*>& sols) const
+ {
+ for (int i=0;i<sols.size();i++)
+ diverge(*sols[i]);
+ }
+
+ ostream& operator<< (ostream& os, const Diverge& diverge)
+ {
+ os << "Diverge." << " Probability: " << diverge.probability[0];
+ return os;
+ }
+
+ void Diverge::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d %f ",&op,&probability[0]);
+ assert(probability[0]>=0);
+ }
+
+ void Diverge::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_diverge_probability",(char *)probability,1,sizeof(float));
+ }
+
+ void Diverge::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_diverge_probability",(char *)probability,nbytes,length);
+ }
+
+ Diverge::~Diverge()
+ {
+ delete [] probability;
+ }
+
+
+// Inter_operator -------------------------------------------------------------------
+
+ Inter_Operator::Inter_Operator(const unsigned int _number_op,const Direction dir):
+ _number_operator(_number_op),
+ direction(dir),
+ migration_rate(1),
+ migration_size(1),
+ migration_selection_1(0),
+ migration_selection_2(0),
+ migration_selection_conf_1(0),
+ migration_selection_conf_2(0)
+ {}
+
+ unsigned int Inter_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ void Inter_Operator::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ int new_migration_rate=1;
+ int new_migration_size=1;
+ int new_migration_selection_1=0;
+ int new_migration_selection_conf_1=0;
+ int new_migration_selection_2=0;
+ int new_migration_selection_conf_2=0;
+
+ sscanf(line," %d %d %d %d %d %d %d ",&op,&new_migration_rate,&new_migration_size,&new_migration_selection_1,&new_migration_selection_conf_1,&new_migration_selection_2,&new_migration_selection_conf_2);
+
+ assert(new_migration_rate>0);
+ assert(new_migration_size>0);
+ assert(new_migration_selection_1>=0);
+ assert(new_migration_selection_conf_1>=0);
+ assert(new_migration_selection_2>=0);
+ assert(new_migration_selection_conf_2>=0);
+
+ migration_rate=new_migration_rate;
+ migration_size=new_migration_size;
+ migration_selection_1=new_migration_selection_1;
+ migration_selection_conf_1=new_migration_selection_conf_1;
+ migration_selection_2=new_migration_selection_2;
+ migration_selection_conf_2=new_migration_selection_conf_2;
+ }
+
+ void Inter_Operator::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&migration_rate,1,sizeof(migration_rate));
+ _sc.set_contents_state_variable("_migration_size",(char *)&migration_size,1,sizeof(migration_size));
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,1,sizeof(migration_selection_1));
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,1,sizeof(migration_selection_2));
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,1,sizeof(migration_selection_conf_1));
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,1,sizeof(migration_selection_conf_2));
+ }
+
+ void Inter_Operator::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&migration_rate,nitems,length);
+ _sc.get_contents_state_variable("_migration_size",(char *)&migration_size,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,nitems,length);
+ }
+
+ ostream& operator<< (ostream& os, const Inter_Operator& inter)
+ {
+ switch (inter.number_operator())
+ {
+ case 0: os << (Migration&)inter;break;
+ }
+ return os;
+ }
+
+ Inter_Operator::~Inter_Operator()
+ {}
+
+// Migration ------------------------------------------------------------
+
+ Migration::Migration(const Direction dir):Inter_Operator(0,dir)
+ {}
+
+ void Migration::execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asynchronous) const
+ {
+
+ Solution* solution_to_send;
+ Solution* solution_received;
+ Solution* solution_to_remplace;
+ bool need_to_revaluate=false;
+ int mypid;
+
+ int nb_proc=_netstream.pnumber(); // Get the number of processes running
+
+ mypid=_netstream.my_pid();
+
+ int to = (mypid + 1) % nb_proc; // Source (from) and Target (to) of processes
+ int from = (nb_proc + mypid - 1) % nb_proc;
+
+ // process number 0 is only to store the global state
+ if (to==0) to=1;
+ if (from==0) from=nb_proc - 1;
+
+ _netstream << set_target(to) << set_source(from)
+ << get_target(&to) << get_source(&from);
+
+ if ( (current_generation % migration_rate) == 0
+ && (current_generation!=pop.setup().nb_evolution_steps())) // in this generation this operator have to be applied
+ {
+ pop.setup().pool().selector(migration_selection_1).prepare(pop.fitness_values(),false);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to send
+ solution_to_send = pop.parents()[pop.setup().pool().selector(migration_selection_1).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_1,false).index];
+
+ _netstream << *solution_to_send;
+ }
+ _netstream << pack_end;
+
+ if (synchronized) // synchronous mode: blocked until data are received
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+ int tipo = 0;
+ _netstream._wait2(any,tipo);
+
+ if (tipo == 1){
+ return;
+ }
+
+ _netstream << wait(packed);
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ }
+ _netstream << pack_end;
+
+ }
+ } // end if
+
+ if (!synchronized && ((current_generation % check_asynchronous) ==0))
+ { // asynchronous mode: if there are not data, continue;
+ // but, if there are data, i have to receive it
+ int pending=false;
+ _netstream._probe(packed,pending);
+ if (pending)
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ pending=false;
+ _netstream._probe(regular,pending);
+ if (!pending) break;
+
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ } // end for
+ _netstream << pack_begin;
+ } // end if
+ }
+
+ if (need_to_revaluate) pop.evaluate_parents();
+ }
+
+ ostream& operator<< (ostream& os, const Migration& migration)
+ {
+ os << "Migration."
+ << endl << "\t" << " Rate: " << migration.migration_rate
+ << endl << "\t" << " Size: " << migration.migration_size
+ << endl << "\t" << " Selection 1: " << migration.migration_selection_1
+ << endl << "\t" << " Selection 1 Parameter: " << migration.migration_selection_conf_1
+ << endl << "\t" << " Selection 2: " << migration.migration_selection_2
+ << endl << "\t" << " Selection 2 Parameter: " << migration.migration_selection_conf_2;
+ return os;
+ }
+
+ Migration::~Migration()
+ {}
+
+// Selection ------------------------------------------------------------
+
+ Selection::Selection(const Direction dir):_number_selection(0),direction(dir)
+ {}
+
+ Selection::Selection(const unsigned int _number_sel, const Direction dir):_number_selection(_number_sel),direction(dir)
+ {}
+
+ void Selection::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {}
+
+ struct individual Selection::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const
+ { // select a random individual
+ return fitness_values[rand_int(0,fitness_values.size()-1)];
+ }
+
+ unsigned int Selection::number_selection() const
+ {
+ return _number_selection;
+ }
+
+ ostream& operator<< (ostream& os, const Selection& sel)
+ {
+ switch (sel.number_selection())
+ {
+ case 0: os << "Random Selection"; break;
+ case 1: os << (Selection_Tournament&)sel; break;
+ case 2: os << (Selection_Roulette_Wheel&)sel; break;
+ case 3: os << (Selection_Rank&)sel; break;
+ case 4: os << (Selection_Best&)sel; break;
+ case 5: os << (Selection_Worst&)sel; break;
+ case 6: os << (Selection_Parents&)sel; break;
+ case 7: os << (Selection_New_Population&)sel; break;
+ }
+ return os;
+ }
+
+ void Selection::setup(char line[MAX_BUFFER])
+ {}
+
+ void Selection::RefreshState(const StateCenter& _sc) const
+ {}
+
+ void Selection::UpdateFromState(const StateCenter& _sc)
+ {}
+
+
+ Selection::~Selection()
+ {}
+
+// Selection_Tournament----------------------------------------------------
+
+ Selection_Tournament::Selection_Tournament(const Direction dir):Selection(1,dir)
+ {}
+
+ struct individual Selection_Tournament::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tournament_size, const bool remplace) const
+ {
+ unsigned int best_sol=0;
+ double best_fitness=((-1) * direction * infinity());
+ unsigned int index;
+
+ if (remplace) best_fitness = -1 * best_fitness;
+
+ unsigned int new_tournament_size=tournament_size;
+ if (tournament_size==0) new_tournament_size=1;
+
+ for (int i=0;i<new_tournament_size;i++)
+ {
+ index=rand_int(0,fitness_values.size()-1);
+
+ switch (direction)
+ {
+ case (minimize): if (((!remplace) && (fitness_values[index].fitness<best_fitness))
+ || ((remplace) && (fitness_values[index].fitness>best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ case (maximize): if (((!remplace) && (fitness_values[index].fitness>best_fitness))
+ || ((remplace) && (fitness_values[index].fitness<best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ }
+ }
+
+ return fitness_values[best_sol];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Tournament& sel)
+ {
+ os << "Tournament Selection.";
+ return os;
+ }
+
+ Selection_Tournament::~Selection_Tournament()
+ {}
+
+// Selection_Roulette_Wheel ---------------------------------------------------
+
+ Selection_Roulette_Wheel::Selection_Roulette_Wheel(const Direction dir):Selection(2,dir)
+ {}
+
+ void Selection_Roulette_Wheel::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+
+ double overall_fitness=0.0;
+
+ // inverts fitness values to select less fitness individuals with a high probability
+ if ((direction==maximize && (remplace)) || ((direction==minimize) && (!(remplace))))
+ {
+ // fitness assigned if the fitness value is 0 in this case
+ double value_if_zero=DBL_MAX;
+ unsigned int nb_zeros=0;
+
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ value_if_zero-=fitness_values[i].fitness;
+ else
+ nb_zeros++;
+ }
+
+ value_if_zero=value_if_zero/nb_zeros;
+
+ // Warning !! if fitness is 0 (1/0 ?)
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ fitness_values[i].sel_parameter = (1 / fitness_values[i].fitness );
+ else
+ fitness_values[i].sel_parameter = value_if_zero;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+ }
+ else
+ {
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = fitness_values[i].fitness;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+
+ }
+
+ if (overall_fitness>DBL_MAX) overall_fitness=DBL_MAX;
+
+ // calculate relative fitness
+ double previous=0.0;
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = (fitness_values[i].sel_parameter / overall_fitness) + previous;
+ previous = fitness_values[i].sel_parameter;
+ }
+ }
+
+ struct individual Selection_Roulette_Wheel::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy, const bool remplace) const
+ {
+ double random_selected=rand01();
+ int i=0;
+
+ while (random_selected > fitness_values[i].sel_parameter )
+ i++;
+
+ return fitness_values[i];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel)
+ {
+ os << "Roulette Wheel Selection.";
+ return os;
+ }
+
+ Selection_Roulette_Wheel::~Selection_Roulette_Wheel()
+ {}
+
+// Selection_Rank --------------------------------------------------
+
+ int lessF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness < i2.fitness;
+ }
+
+ int greaterF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness > i2.fitness;
+ }
+
+ Selection_Rank::Selection_Rank(const Direction dir):Selection(3,dir)
+ {}
+
+ Selection_Rank::Selection_Rank(const unsigned int _number_sel, const Direction dir):Selection(_number_sel,dir)
+ {}
+
+ void Selection_Rank::reset()
+ {}
+
+ void Selection_Rank::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+ reset();
+
+ // sort individuals
+ if (((direction==maximize) && (!(remplace))) || ((direction==minimize) && (remplace)))
+ fitness_values.sort(lessF);
+ else
+ fitness_values.sort(greaterF);
+ }
+
+ struct individual Selection_Rank::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const
+ {
+
+ unsigned int new_portion=portion;
+ if (portion==0 || portion>100) new_portion=100;
+
+ return fitness_values[rand_int(0,(( fitness_values.size() * new_portion )/ 100)-1)];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Rank& sel)
+ {
+ os << "Rank-Ordered Selection.";
+ return os;
+ }
+
+ Selection_Rank::~Selection_Rank()
+ {}
+
+// Selection_Best --------------------------------------------------
+
+ Selection_Best::Selection_Best(const Direction dir):Selection_Rank(4,dir),selection_best_position(0)
+ {}
+
+ struct individual Selection_Best::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_best_position;
+ selection_best_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ return fitness_values[position_to_return];
+ }
+
+ void Selection_Best::reset()
+ {
+ selection_best_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Best& sel)
+ {
+ os << "Selection of best ordered individuals.";
+ return os;
+ }
+
+ Selection_Best::~Selection_Best()
+ {}
+
+// Selection_Worst --------------------------------------------------
+
+ Selection_Worst::Selection_Worst(const Direction dir):Selection_Rank(5,dir),selection_worst_position(0)
+ {}
+
+ struct individual Selection_Worst::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_worst_position;
+ selection_worst_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ int index=(fitness_values.size()-1) - position_to_return;
+ return fitness_values[index];
+ }
+
+ void Selection_Worst::reset()
+ {
+ selection_worst_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Worst& sel)
+ {
+ os << "Selection of worst ordered individuals.";
+ return os;
+ }
+
+ Selection_Worst::~Selection_Worst()
+ {}
+
+// Selection_Parents ---------------------------------------------------------------------------------
+
+ Selection_Parents::Selection_Parents(const Direction dir):Selection(6,dir),selection_position(0)
+ {}
+
+ Selection_Parents::~Selection_Parents()
+ {}
+
+ ostream& operator<< (ostream& os, const Selection_Parents& sel)
+ {
+ os << "CHC Selection: Parents Selection.";
+ return os;
+ }
+
+ void Selection_Parents::prepare(Rarray<struct individual>& fitness_values,const bool remplace) // const
+ {
+ selection_position = 0;
+ int limit1,limit2;
+ register int max = fitness_values.size();
+
+ struct individual interchange;
+
+ for (int i=0;i<max*3;i++)
+ {
+ limit1 = rand_int(0,max-1);
+ limit2 = rand_int(0,max-1);
+ interchange=fitness_values[limit1];
+ fitness_values[limit1]=fitness_values[limit2];
+ fitness_values[limit2]=interchange;
+ }
+ }
+
+ struct individual Selection_Parents::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const
+ {
+ int index = selection_position;
+ selection_position++;
+
+ index = index % fitness_values.size();
+
+ return fitness_values[index];
+ }
+
+// Selection_New_Population ---------------------------------------------------------------------------
+
+ Selection_New_Population::Selection_New_Population(const Direction dir)
+ :Selection(7,dir)
+ ,diverge(NULL)
+ ,d(-1)
+ {}
+
+ Selection_New_Population::~Selection_New_Population()
+ {
+ if(diverge != NULL) delete diverge;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_New_Population& sel)
+ {
+ os << "CHC Selection: New Population Selection." << " Diverge Operator: " << *sel.diverge;
+ return os;
+ }
+
+
+ void Selection_New_Population::prepare(Rarray<struct individual>& fitness_values,const bool remplace) // const
+ {
+ selection_position = 0;
+
+ // sort individuals
+ if (((direction==maximize) && (!(remplace))) || ((direction==minimize) && (remplace)))
+ fitness_values.sort(greaterF);
+ else
+ fitness_values.sort(lessF);
+ }
+
+ struct individual Selection_New_Population::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const
+ {
+ bool change = false;
+ if(d == -1) d = to_select_1[0]->lengthInBits() / 4;
+
+ if(selection_position == 0)
+ {
+ for(int i= 0; i < to_select_1.size(); i++)
+ if(fitness_values[i].index > (to_select_1.size()-1)) change = true;
+ if(change) selection_position++;
+ else selection_position--;
+ }
+
+ if(selection_position == -1)
+ {
+ d--;
+ if(d < 0)
+ {
+ selection_position--;
+ d = (int) (r * (1.0-r) * to_select_1[0]->lengthInBits());
+ }
+ else selection_position = 1;
+ }
+
+ if(selection_position == -2)
+ {
+ assert(diverge != NULL);
+ for(int i = 1; i < to_select_1.size(); i++)
+ {
+ if(rand01() < r) ((Diverge *)diverge)->diverge(*to_select_1[i]);
+ }
+ for(int i= 0; i < fitness_values.size(); i++)
+ if(fitness_values[i].index < (to_select_1.size()-1)) fitness_values[i].change = true;
+
+ selection_position = 1;
+ }
+
+ if(selection_position > 0)
+ {
+ int index = selection_position-1;
+ selection_position++;
+ return fitness_values[index];
+ }
+ }
+
+ void Selection_New_Population::setup(char line[MAX_BUFFER])
+ {
+ int div;
+ float div_par;
+
+ sscanf(line," %f %d %f ",&r,&div, &div_par);
+ assert(r>=0);
+
+ sprintf(line,"%d %f ",div,div_par);
+
+ diverge = Intra_Operator::create(div);
+ assert(diverge != NULL);
+
+ diverge->setup(line);
+ }
+
+ void Selection_New_Population::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_parameter_select_new_pop",(char *)&r,1,sizeof(float));
+ }
+
+ void Selection_New_Population::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_parameter_select_new_pop",(char *)&r,nbytes,length);
+ }
+
+// Operator_Pool ------------------------------------------------------------------------
+
+ Operator_Pool::Operator_Pool(const Problem& pbm)
+ {
+ // introduces all operators and selections in lists
+
+ // Index to be chosen in setup file
+ //-------------------------------------
+ // The Intra_Operators are introduced dimanicly in setup
+
+ _selectors.append(new Selection(pbm.direction())); // 0
+ _selectors.append(new Selection_Tournament(pbm.direction())); // 1
+ _selectors.append(new Selection_Roulette_Wheel(pbm.direction())); // 2
+ _selectors.append(new Selection_Rank(pbm.direction())); // 3
+ _selectors.append(new Selection_Best(pbm.direction())); // 4
+ _selectors.append(new Selection_Worst(pbm.direction())); // 5
+ _selectors.append(new Selection_Parents(pbm.direction())); // 6
+ _selectors.append(new Selection_New_Population(pbm.direction())); // 7
+
+ _inter_operators.append(new Migration(pbm.direction())); // 0
+ }
+
+ Intra_Operator& Operator_Pool::intra_operator(const unsigned int index) const
+ {
+ assert(index < _intra_operators.size());
+ return _intra_operators[index];
+ }
+
+ Rlist<Intra_Operator>& Operator_Pool::intra_operators() const
+ {
+ return _intra_operators;
+ }
+
+ Selection& Operator_Pool::selector(const unsigned int index) const
+ {
+ assert(index < _selectors.size());
+ return _selectors[index];
+ }
+
+ const Rlist<Selection>& Operator_Pool::selectors() const
+ {
+ return _selectors;
+ }
+
+ Inter_Operator& Operator_Pool::inter_operator(const unsigned int index) const
+ {
+ assert(index < _inter_operators.size());
+ return _inter_operators[index];
+ }
+
+ const Rlist<Inter_Operator>& Operator_Pool::inter_operators() const
+ {
+ return _inter_operators;
+ }
+
+ Operator_Pool::~Operator_Pool()
+ {}
+
+// Solver (superclasse)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ current_population(pbm,setup),
+ best_cost((-1) * pbm.direction() * infinity()),
+ worst_cost((-1) * best_cost),
+ best_solution(problem),
+ average_cost(0.0),
+ standard_deviation(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_evaluations("_current_evaluations",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_worst_cost("_current_worst_cost",_sc),
+ _current_average_cost("_current_average_cost",_sc),
+ _current_standard_deviation("_current_standard_deviation",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _best_solution_trial("_best_sol_trial",_sc),
+ _best_cost_trial("_best_cost_trial",_sc),
+ _worst_cost_trial("_worst_cost_trial",_sc),
+ _iteration_best_found_in_trial("_iteration_best_found_in_trial",_sc),
+ _evaluations_best_found_in_trial("_evaluations_best_found_in_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found",_sc),
+ _evaluations_best_found("_evaluations_best_found",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _global_worst_cost("_global_worst_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _crossover_probability("_crossover_probability",_sc),
+ _diverge_probability("_diverge_probability",_sc),
+ _migration_rate("_migration_rate",_sc),
+ _migration_size("_migration_size",_sc),
+ _migration_selection_1("_migration_selection_1",_sc),
+ _migration_selection_2("_migration_selection_2",_sc),
+ _migration_selection_conf_1("_migration_selection_conf_1",_sc),
+ _migration_selection_conf_2("_migration_selection_conf_2",_sc),
+ _select_parents("_select_parents",_sc),
+ _select_offsprings("_select_offsprings",_sc),
+ _parameter_select_new_pop("_parameter_select_new_pop",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_evaluations(0);
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ best_solution_trial(best_solution);
+ best_cost_trial(best_cost);
+ worst_cost_trial(worst_cost);
+ iteration_best_found_in_trial(0);
+ evaluations_best_found_in_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ evaluations_best_found(0);
+ global_best_solution(best_solution);
+ global_best_cost(best_cost);
+ global_worst_cost(worst_cost);
+ time_best_found(total_time_spent);
+
+ float prob[MAX_PROB_PER_OP] = {0.0};
+ crossover_probability(prob);
+ diverge_probability(prob);
+
+ char aux[] = "_user_op_probability";
+ char nombre[30];
+ for(int i = 0; i < MAX_USER_OP; i++)
+ {
+ sprintf(nombre,"%s%d",aux,i);
+ _user_op_probability[i].set_name((char *)nombre);
+ _sc.add(_user_op_probability[i]);
+ user_op_probability(i,prob);
+ }
+
+ migration_rate(0);
+ migration_size(0);
+ migration_selection_1(0);
+ migration_selection_2(0);
+ migration_selection_conf_1(0);
+ migration_selection_conf_2(0);
+ select_parents(0);
+ select_offsprings(0);
+ parameter_select_new_pop(0.0);
+ display_state(setup.display_state());
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ void Solver::end_trial(bool et)
+ {
+ _end_trial = et;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _current_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_iteration.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_evaluations() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_evaluations.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _current_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_average_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_average_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_standard_deviation() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_standard_deviation.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::best_solution_trial() const
+ {
+ Solution sol(problem);
+ char data_stored[_best_solution_trial.get_nitems() + _best_solution_trial.get_length()];
+ unsigned long nitems,length;
+ _best_solution_trial.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::best_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _best_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::worst_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _worst_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _global_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::global_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _display_state.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float *Solver::crossover_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_crossover_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::diverge_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_diverge_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::user_op_probability(const int index) const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.get_contents_state_variable(aux,(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ unsigned int Solver::migration_rate() const
+ {
+ unsigned int rate=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&rate,nitems,length);
+ return rate;
+ }
+
+ unsigned int Solver::migration_size() const
+ {
+ unsigned int size=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_size",(char *)&size,nitems,length);
+ return size;
+ }
+
+ unsigned int Solver::migration_selection_1() const
+ {
+ unsigned int selection_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&selection_1,nitems,length);
+ return selection_1;
+ }
+
+ unsigned int Solver::migration_selection_2() const
+ {
+ unsigned int selection_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&selection_2,nitems,length);
+ return selection_2;
+ }
+
+ unsigned int Solver::migration_selection_conf_1() const
+ {
+ unsigned int selection_conf_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,nitems,length);
+ return selection_conf_1;
+ }
+
+ unsigned int Solver::migration_selection_conf_2() const
+ {
+ unsigned int selection_conf_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,nitems,length);
+ return selection_conf_2;
+ }
+
+ unsigned int Solver::select_parents() const
+ {
+ unsigned int select_parents=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&select_parents,nitems,length);
+ return select_parents;
+ }
+
+ unsigned int Solver::select_offprings() const
+ {
+ unsigned int select_offsprings=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&select_offsprings,nitems,length);
+ return select_offsprings;
+ }
+
+ float Solver::parameter_select_new_pop() const
+ {
+ float parameter_select_new_pop;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_parameter_select_new_pop",(char *)¶meter_select_new_pop,nitems,length);
+ return parameter_select_new_pop;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _current_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _current_iteration.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_evaluations(const unsigned long value)
+ {
+ _current_evaluations.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _current_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _current_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_worst_cost(const double value)
+ {
+ _current_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_average_cost(const double value)
+ {
+ _current_average_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_standard_deviation(const double value)
+ {
+ _current_standard_deviation.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::best_solution_trial(const Solution& sol)
+ {
+ _best_solution_trial.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::best_cost_trial(const double value)
+ {
+ _best_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::worst_cost_trial(const double value)
+ {
+ _worst_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::iteration_best_found_in_trial(const unsigned int value)
+ {
+ _iteration_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found_in_trial(const unsigned int value)
+ {
+ _evaluations_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found(const unsigned int value)
+ {
+ _evaluations_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _global_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _global_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::global_worst_cost(const double value)
+ {
+ _global_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _display_state.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::crossover_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_crossover_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::diverge_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_diverge_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::user_op_probability(const int index, const float *new_probability)
+ {
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.set_contents_state_variable(aux,(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::migration_rate(const unsigned int rate)
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&rate,1,sizeof(int));
+ }
+
+ void Solver::migration_size(const unsigned int size)
+ {
+ _sc.set_contents_state_variable("_migration_size",(char *)&size,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_1(const unsigned int selection_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&selection_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_2(const unsigned int selection_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&selection_2,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_1(const unsigned int selection_conf_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_2(const unsigned int selection_conf_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,1,sizeof(int));
+ }
+
+ void Solver::select_parents(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::select_offsprings(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::parameter_select_new_pop(const float value)
+ {
+ _sc.set_contents_state_variable("_parameter_select_new_pop",(char *)&value,1,sizeof(float));
+ }
+
+ Statistics& Solver::statistics()
+ {
+ return _stat;
+ }
+
+ UserStatistics& Solver::userstatistics()
+ {
+ return _userstat;
+ }
+
+ Population& Solver::population()
+ {
+ return current_population;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool worseG=false;
+ bool betterT=false;
+ bool worseT=false;
+
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost > global_worst_cost());
+ betterT = (best_cost < best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost > worst_cost_trial());
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost < global_worst_cost());
+ betterT = (best_cost > best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost < worst_cost_trial());
+ break;
+ }
+
+ if (betterT)
+ {
+ best_solution_trial(best_sol);
+ best_cost_trial(best_cost);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_in_trial(current_iteration());
+ evaluations_best_found_in_trial(current_evaluations());
+ if (betterG)
+ {
+ global_best_solution(best_sol);
+ global_best_cost(best_cost);
+ time_best_found(time_spent_in_trial);
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ evaluations_best_found(current_evaluations());
+ }
+ }
+
+ if (worseT)
+ {
+ worst_cost_trial(worst_cost);
+ if (worseG)
+ global_worst_cost(worst_cost);
+ }
+ }
+
+ StateCenter *Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::RefreshCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).RefreshState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).RefreshState(_sc);
+ for (int i=0;i<params.pool().selectors().size();i++)
+ params.pool().selector(i).RefreshState(_sc);
+ params.RefreshState(_sc);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ best_solution=current_best_solution();
+ best_cost=current_best_cost();
+ worst_cost=current_worst_cost();
+ average_cost=current_average_cost();
+ standard_deviation=current_standard_deviation();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).UpdateFromState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).UpdateFromState(_sc);
+ for (int i=0;i<params.pool().selectors().size();i++)
+ params.pool().selector(i).UpdateFromState(_sc);
+ params.UpdateFromState(_sc);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << " Current State ---------------------------------------------" << endl;
+/* cout << endl << "Selection parents -> " << select_parents();
+ cout << endl << "Parameter of selection: " << parameter_select_parents();
+ cout << endl << "Selection offsprings -> " << select_offprings();
+ cout << endl << "Parameter of selection: " << parameter_select_offsprings() << endl;
+ cout << endl << "Crossover_probability: " << crossover_probability();
+ cout << endl << "Mutation_probability: " << mutation_probability();
+ cout << endl << "User_Operator_probability: " << user_op_probability(0);
+ cout << endl << "Migration_rate: " << migration_rate();
+ cout << endl << "Migration_size: " << migration_size();
+ cout << endl << "Migration_selection_1: " << migration_selection_1();
+ cout << endl << "Migration_selection_conf_1: " << migration_selection_conf_1();
+ cout << endl << "Migration_selection_2: " << migration_selection_2();
+ cout << endl << "Migration_selection_conf_2: " << migration_selection_conf_2() << endl;
+*/ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current evaluations: " << current_evaluations();
+ cout << endl << "Current best cost: " << current_best_cost();
+ cout << endl << "Current worst cost: " << current_worst_cost();
+ cout << endl << "Current Average cost: " << current_average_cost();
+ cout << endl << "Current Standard Deviation: " << current_standard_deviation();
+ cout << endl << endl << "Trial: ";
+ cout << endl << "Best cost trial: " << best_cost_trial();
+ cout << endl << "Worst cost trial: " << worst_cost_trial();
+ cout << endl << "Iteration best found in trial: " << iteration_best_found_in_trial();
+ cout << endl << "Time best found trial: " << time_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << endl << "Global: ";
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Global worst cost: " << global_worst_cost();
+ cout << endl << "Trial best found: " << trial_best_found();
+ cout << endl << "Iteration best found: " << iteration_best_found();
+ cout << endl << "Time best found: " << time_best_found();
+// cout << endl << endl << "Best Solution: " << endl << global_best_solution();
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ }
+
+// Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Seq::StartUp(const Population& pop)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ time_best_found_trial(0.0);
+
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ UpdateFromCfgState();
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ if( (current_iteration() % params.refresh_global_state()) == 0)
+ UpdateFromCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs() )
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Seq::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ void Solver_Seq::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ // Solver LAN ------------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Lan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Lan::send_local_state_to(int _mypid) {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_solution_trial()
+ << current_best_solution()
+ << best_cost_trial()
+ << worst_cost_trial()
+ << time_best_found_trial()
+ << current_best_cost()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state() {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_solution_trial
+ >> best_solution
+ >> _best_cost_trial
+ >> _worst_cost_trial
+ >> _time_best_found_in_trial
+ >> best_cost
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualizaci�n de las estad�sticas // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Lan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Wan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_cost_trial()
+ << best_solution_trial()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << time_best_found_trial()
+ << worst_cost_trial()
+ << current_best_cost()
+ << current_best_solution()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state()
+ {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_cost_trial
+ >> _best_solution_trial
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ >> _time_best_found_in_trial
+ >> _worst_cost_trial
+ >> best_cost
+ >> best_solution
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Update Stats // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Wan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+
+ }
+ _netstream << barrier;
+ }
+
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.pro.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.pro.o
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.req.cc
new file mode 100644
index 0000000..df05c01
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.req.cc
@@ -0,0 +1,332 @@
+#ifndef INC_REQ_CHC
+#define INC_REQ_CHC
+#include "CHC.hh"
+#include <math.h>
+
+skeleton CHC
+{
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm._dimension);
+
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+
+ Problem::~Problem()
+ {}
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.dimension();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+
+ double Solution::fitness () const
+ {
+ double fitness = 0.0;
+
+ if(_var[0] == 2) return 0.0;
+
+ for (int i=0;i<_var.size();i++)
+ fitness += _var[i];
+
+ return fitness;
+ }
+
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+ int Solution::lengthInBits() const
+ {
+ return _pbm.dimension();
+ }
+
+ void Solution::flip(const int index)
+ {
+ _var[index] = 1 - _var[index];
+ }
+
+ bool Solution::equalb(const int index,Solution &s)
+ {
+ return _var[index] == s._var[index];
+ }
+
+ void Solution::swap(const int index, Solution &s)
+ {
+ int aux = s._var[index];
+ s._var[index] = _var[index];
+ _var[index] = aux;
+ }
+
+ void Solution::invalid()
+ {
+ _var[0] = 2;
+ }
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+ // UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].worst_cost_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_iteration_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if( (solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().nb_evolution_steps())
+ && !terminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial = solver.evaluations_best_found_in_trial();
+ new_stat->nb_iteration_best_found_trial = solver.iteration_best_found_in_trial();
+ new_stat->worst_cost_trial = solver.worst_cost_trial();
+ new_stat->best_cost_trial = solver.best_cost_trial();
+ new_stat->time_best_found_trial = solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+ // User_Operator:Intra_operator ---------------------------------------------------------
+
+ User_Operator::User_Operator(const unsigned int _number_op):Intra_Operator(_number_op)
+ {}
+
+ void User_Operator::execute(Rarray<Solution*>& sols) const
+ {}
+
+ void User_Operator::setup(char line[MAX_BUFFER])
+ {}
+
+ Intra_Operator *User_Operator::create(const unsigned int _number_op)
+ {
+ return new User_Operator(_number_op);
+ }
+
+ ostream& operator<< (ostream& os, const User_Operator& u_op)
+ {
+ os << "User Operator.";
+ return os;
+ }
+
+ void User_Operator::RefreshState(const StateCenter& _sc) const
+ {}
+
+ void User_Operator::UpdateFromState(const StateCenter& _sc)
+ {}
+
+ User_Operator::~User_Operator()
+ {}
+
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.best_cost_trial() == pbm.dimension());
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool terminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+ StopCondition_1 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+#endif
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.req.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHC.req.o
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHCstructures.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHCstructures.hh
new file mode 100644
index 0000000..70aba85
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/CHCstructures.hh
@@ -0,0 +1,29 @@
+#ifndef INC_CHC_mallba_hh
+#define INC_CHC_mallba_hh
+
+#include <iostream>
+#include <fstream>
+#include <math.h>
+#include <limits.h>
+#include <float.h>
+#include <Rlist.h>
+#include <Rarray.h>
+#include <Messages.h>
+#include <mallba.hh>
+#include <States.hh>
+#include <random.hh>
+#include <time.hh>
+#include <netstream.hh>
+#include <assert.h>
+
+using namespace std;
+
+struct individual // index of a individual in the population and its fitness
+{
+ int index;
+ double fitness;
+ double sel_parameter;
+ bool change;
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/Config.cfg
new file mode 100644
index 0000000..b34042e
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/Config.cfg
@@ -0,0 +1,3 @@
+CHC.cfg
+../../ProblemInstances/ONEMAX-instances/onemax10.txt
+res/om10.chc.lan.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainLan
new file mode 100644
index 0000000000000000000000000000000000000000..f71c6e405ea5e9ef5a0fe9ad9c3c33807afa6d2a
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainLan.cc
new file mode 100644
index 0000000..279b550
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainLan.cc
@@ -0,0 +1,49 @@
+#include <iostream>
+#include <fstream>
+#include "CHC.hh"
+
+using namespace std;
+
+int main (int argc, char** argv)
+{
+ using skeleton CHC;
+ char path[MAX_BUFFER] = "";
+
+ system("clear");
+
+ strcat(path,argv[1]);
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(path,MAX_BUFFER,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(path,MAX_BUFFER,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(path,MAX_BUFFER,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainLan.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainLan.o
new file mode 100644
index 0000000000000000000000000000000000000000..719588ecb004d2c7131a859e6905d3a50cbaa302
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainSeq b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainSeq
new file mode 100644
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainSeq.cc
new file mode 100644
index 0000000..4c291f8
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainSeq.cc
@@ -0,0 +1,43 @@
+#include <iostream>
+#include <fstream>
+#include "CHC.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton CHC;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solution" << solver.global_best_solution() << endl
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainSeq.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainSeq.o
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainWan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainWan.cc
new file mode 100644
index 0000000..4ee19e5
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/MainWan.cc
@@ -0,0 +1,52 @@
+#include "CHC.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton CHC;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/Makefile
new file mode 100644
index 0000000..3225d38
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/Makefile
@@ -0,0 +1,24 @@
+include ../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq *.o *% *~
+
+MainSeq: CHC.req.o CHC.pro.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainLan: CHC.req.o CHC.pro.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: CHC.req.o CHC.pro.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -np 10 ./MainLan Config.cfg
+
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+
+SEQ:
+ ./MainSeq CHC.cfg ../../ProblemInstances/ONEMAX-instances/onemax10.txt res/sol.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/res/empty.txt b/ProyectoFinal/AlgoritmoGenetico/malva/rep/CHC/res/empty.txt
new file mode 100644
index 0000000..e69de29
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/Config.cfg
new file mode 100644
index 0000000..ad19d32
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/Config.cfg
@@ -0,0 +1,3 @@
+newGA.cfg
+../../ProblemInstances/ONEMAX-instances/onemax10.txt
+res/om10.newga.lan.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainLan
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HcmV?d00001
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainLan.cc
new file mode 100644
index 0000000..494e82e
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainLan.cc
@@ -0,0 +1,53 @@
+#include "newGA.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton newGA;
+
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solution: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainLan.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainLan.o
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HcmV?d00001
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainSeq.cc
new file mode 100644
index 0000000..d4a7c14
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainSeq.cc
@@ -0,0 +1,41 @@
+#include "newGA.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton newGA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solution: " << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainSeq.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/MainSeq.o
new file mode 100644
index 0000000000000000000000000000000000000000..155133b817cf52480267b552dd709539a640c87c
GIT binary patch
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HcmV?d00001
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/Makefile
new file mode 100644
index 0000000..71b1892
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/Makefile
@@ -0,0 +1,24 @@
+include ../../environment
+
+all: MainLan MainSeq
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: newGA.req.o newGA.pro.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: newGA.req.o newGA.pro.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: newGA.req.o newGA.pro.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -np 10 ./MainLan Config.cfg
+
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+
+SEQ:
+ ./MainSeq newGA.cfg ../../ProblemInstances/ONEMAX-instances/onemax10.txt res/sol.txt
\ No newline at end of file
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/asignacion_colores.csv b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/asignacion_colores.csv
new file mode 100644
index 0000000..8384036
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/asignacion_colores.csv
@@ -0,0 +1,10 @@
+1,5
+2,5
+3,5
+4,5
+5,5
+6,5
+7,5
+8,0
+9,4
+10,4
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_cantidad_empleados b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_cantidad_empleados
new file mode 100644
index 0000000..7813681
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_cantidad_empleados
@@ -0,0 +1 @@
+5
\ No newline at end of file
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_cantidad_tareas b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_cantidad_tareas
new file mode 100644
index 0000000..301160a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_cantidad_tareas
@@ -0,0 +1 @@
+8
\ No newline at end of file
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_empleados b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_empleados
new file mode 100644
index 0000000..f7cc5e5
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_empleados
@@ -0,0 +1,4 @@
+e1 e2 e3 e4 e5
+4 5 5 3 3
+0.05 0.20 0.30 0.95 0.50
+120 200 210 230 180
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_tareas b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_tareas
new file mode 100644
index 0000000..589272f
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/datos_tareas
@@ -0,0 +1,3 @@
+20
+t1 t2 t3 t4 t5 t6 t7 t8
+16 28 11 51 2 23 43 15
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/ejercicio2.py b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/ejercicio2.py
new file mode 100644
index 0000000..6705a02
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/ejercicio2.py
@@ -0,0 +1,131 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import sys
+import random
+import math
+import os
+
+try:
+ #Sanity check
+ if (len(sys.argv)<4):
+ print "Ejecutar con la siguiente linea: ./ejercicio2 <ruta_tareas> <ruta_empleados> <ruta_solucion>"
+ sys.exit(1)
+
+ ruta_tareas=sys.argv[1]
+ ruta_empleados=sys.argv[2]
+ ruta_solucion=sys.argv[3]
+
+ os.system("make clean")
+ os.system("make all")
+ os.system("make SEQ")
+
+ #os.system("python verificador.py " + ruta_tareas + " " + ruta_empleados + " " + ruta_solucion)
+
+ """
+ habilidad_empleados=[]
+ sueldo_diario_empleado=[]
+ dedicacion_diaria_diponible_empleado=[]
+ esfuerzo_requerido_tarea=[]
+ nombres_tareas=[]
+ nombre_empleados=[]
+ costo_proyecto=0
+ tiempo_solucion_proyecto=0
+
+ # se sabe que son 3 lineas
+ archivo_tareas=open(ruta_tareas)
+ lineasTareas=archivo_tareas.readlines()
+ deadLine=lineasTareas[0]
+ nombres_tareas=lineasTareas[1].strip().split(" ")
+ esfuerzo_requerido_tarea=lineasTareas[2].strip().split(" ")
+
+ # se sabe que son 4 lineas
+ archivo_empleados=open(ruta_empleados)
+ lineasEmpleados=archivo_empleados.readlines()
+ nombre_empleados=lineasEmpleados[0].strip().split(" ")
+ dedicacion_diaria_diponible_empleado=lineasEmpleados[1].strip().split(" ")
+ habilidad_empleados=lineasEmpleados[2].strip().split(" ")
+ sueldo_diario_empleado=lineasEmpleados[3].strip().split(" ")
+
+ # se convierten a entero
+ dedicacion_diaria_diponible_empleado = map(int, dedicacion_diaria_diponible_empleado)
+ sueldo_diario_empleado = map(int, sueldo_diario_empleado)
+ deadLine=int(deadLine)
+ esfuerzo_requerido_tarea = map(int, esfuerzo_requerido_tarea)
+
+ # se convierte a float
+ habilidad_empleados = map(float, habilidad_empleados)
+
+ # se levanta la solucion del archivo
+ matriz_solucion=[]
+
+ archivo_solucion=open(ruta_solucion)
+
+ solucion_empleados_tareas=[]
+ solucion_empleados=[]
+ solucion_tareas=[]
+
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ if( not (empleados_tareas[0] in nombre_empleados)):
+ print "No existe en la instancia el empleado: " + empleados_tareas[0]
+ sys.exit(1)
+ solucion_empleados.append(empleados_tareas[0])
+ for i in range(1,len(empleados_tareas)):
+ if( not (empleados_tareas[i] in nombres_tareas)):
+ print "No existe en la instancia la terea: " + empleados_tareas[i]
+ sys.exit(1)
+ solucion_tareas.append(empleados_tareas[i])
+
+
+ for i in range(0,len(solucion_empleados)):
+ for j in range(i+1,len(solucion_empleados)):
+ if(solucion_empleados[i]==solucion_empleados[j]):
+ print "Empleado repetido: " + solucion_empleados[i]
+ sys.exit(1)
+
+ for i in range(0,len(solucion_tareas)):
+ for j in range(i+1,len(solucion_tareas)):
+ if(solucion_tareas[i]==solucion_tareas[j]):
+ print "Tarea asignada más de una vez: " + solucion_tareas[i]
+ sys.exit(1)
+
+
+ # todas las tareas asignadas
+ if(len(solucion_tareas)!=len(nombres_tareas)):
+ print "La cantidad de tareas asignadas es distinta a la cantidad de tareas de la instancia."
+ sys.exit(1)
+
+ for i in range(0,len(nombres_tareas)):
+ if( not (nombres_tareas[i] in solucion_tareas)):
+ print "Tarea no asignada " + nombres_tareas[i]
+ sys.exit(1)
+
+ costo_total=0
+ archivo_solucion=open(ruta_solucion)
+ maximo_tiempo=0
+ tiempo_en_dias=0
+ # se hacen los calculos con la informacion en los archivos
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ indice_empleado = nombre_empleados.index(empleados_tareas[0])
+ tiempo_en_horas=0
+ for i in range(1,len(empleados_tareas)):
+ indice_tarea = nombres_tareas.index(empleados_tareas[i])
+ tiempo_en_horas=tiempo_en_horas+(esfuerzo_requerido_tarea[indice_tarea] / (0.5 + habilidad_empleados[indice_empleado]))
+ tiempo_en_dias= int(math.ceil(tiempo_en_horas/dedicacion_diaria_diponible_empleado[indice_empleado]))
+ costo_total=costo_total+sueldo_diario_empleado[indice_empleado]*tiempo_en_dias
+ if(tiempo_en_dias>maximo_tiempo):
+ maximo_tiempo=tiempo_en_dias
+
+ if(maximo_tiempo<=deadLine):
+ # todo OK!
+ print costo_total,maximo_tiempo
+ else:
+ print "No cumple con el tiempo máximo de finalización ({0} > {1}).".format(maximo_tiempo, deadLine)
+ sys.exit(1)
+
+ """
+
+except IOError as error:
+ print error
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/generador.py b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/generador.py
new file mode 100644
index 0000000..c699bd6
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/generador.py
@@ -0,0 +1,143 @@
+import sys
+import random
+import math
+from collections import defaultdict
+
+try:
+ #Constantes
+ mayor_duracion_horas_tarea=200
+ menor_duracion_horas_tarea=12
+ mayor_disponibilidad_diaria_horas_empleado=10
+ menor_disponibilidad_diaria_horas_empleado=1
+ sueldo_hora_base_empleado_sin_experiencia=110
+ sueldo_valor_maximo_bono_por_buen_empleado_hora=23
+ deadline_dias=0
+
+ #Sanity check
+ if (len(sys.argv)<4):
+ print "Ejecutar con la siguiente linea: ./generador <cant_tereas> <cant_empleados> <archivo_salida>"
+ sys.exit(1)
+
+ cantidad_tareas=int(sys.argv[1])
+ cantidad_empleados=int(sys.argv[2])
+ archivo_salida=sys.argv[3]
+
+ if (cantidad_tareas<1):
+ print "La cantidad de tareas debe ser mayor o igual a 1."
+ sys.exit(1)
+
+
+ if (cantidad_empleados<1):
+ print "La cantidad de empleados debe ser mayor o igual a 1."
+ sys.exit(1)
+
+ if (cantidad_empleados>cantidad_tareas):
+ print "La cantidad de empleados debe ser menor a la cantidad de tareas."
+ sys.exit(1)
+
+
+ #VARIABLES:
+
+ #habilidades de los empleados valor entre 0 y 1
+ habilidad_empleados=[]
+ sueldo_semanal_empleado=[]
+ dedicacion_diaria_diponible_empleado=[]
+ esfuerzo_requerido_tarea=[]
+
+ for i in range(0,cantidad_empleados):
+ dedicacion_diaria_diponible_empleado.append(random.randint(menor_disponibilidad_diaria_horas_empleado,mayor_disponibilidad_diaria_horas_empleado))
+
+ for i in range(0,cantidad_empleados):
+ habilidad_empleados.append(round(random.uniform(0, 1),2))
+
+ #los empleados cobran un bono (random) de rendimiento
+ #empleados con habilidad 0 cobran el sueldo de horas base por la cantidad de horas semanales
+ #empleados con habilidad mayor a 0 cobran un plus por habilidad proporcional a su habilidad
+ #empleado con habilidad 1 cobra aproximadamente el doble que el de experiencia 0
+ for i in range(0,cantidad_empleados):
+ bono_por_buen_empleado=random.randint(0,sueldo_valor_maximo_bono_por_buen_empleado_hora)
+ sueldo_base=sueldo_hora_base_empleado_sin_experiencia+bono_por_buen_empleado
+ plus_por_experiencia=sueldo_hora_base_empleado_sin_experiencia*habilidad_empleados[i]
+ sueldo_semanal_empleado.append(int(math.ceil((sueldo_base+plus_por_experiencia)*dedicacion_diaria_diponible_empleado[i])))
+
+ for i in range(0,cantidad_tareas):
+ esfuerzo_requerido_tarea.append(random.randint(menor_duracion_horas_tarea,mayor_duracion_horas_tarea))
+
+ ######################
+ #calculo del deadline
+ ######################
+
+
+ tiempo_ocupado_empleado = {}
+ for indice_empleado in range(0,cantidad_empleados):
+ tiempo_ocupado_empleado[indice_empleado]=0
+
+ tiempo_en_horas=0
+ tiempo_en_dias_con_decimales=0
+ indice_empleado_menor_tiempo=0
+ for indice_tarea in range(0,cantidad_tareas):
+ minimo_tiempo=sys.float_info.max
+ for indice_empleado in range(0,cantidad_empleados):
+ tiempo_en_horas=(esfuerzo_requerido_tarea[indice_tarea] / (0.5 + habilidad_empleados[indice_empleado]))
+ tiempo_en_dias_con_decimales= tiempo_en_horas/dedicacion_diaria_diponible_empleado[indice_empleado]
+ tiempo_en_el_que_termina_si_se_le_da_esta_tarea=tiempo_ocupado_empleado[indice_empleado]+tiempo_en_dias_con_decimales
+ if(tiempo_en_el_que_termina_si_se_le_da_esta_tarea < minimo_tiempo):
+ indice_empleado_menor_tiempo=indice_empleado
+ minimo_tiempo=tiempo_en_el_que_termina_si_se_le_da_esta_tarea
+ tiempo_ocupado_empleado[indice_empleado_menor_tiempo]=minimo_tiempo
+
+
+ deadline_dias=0
+ #busca maxima duracion
+ for indice_empleado in range(0,cantidad_empleados):
+ if(tiempo_ocupado_empleado[indice_empleado]>deadline_dias):
+ deadline_dias=tiempo_ocupado_empleado[indice_empleado]
+
+ #print tiempo_ocupado_empleado
+ #se redondean los dias para pagar el dia entero a los que trabajan menos
+ deadline_dias=int(math.ceil(deadline_dias))*1.2
+
+ #archivo de salida de empleados
+ archivo = open ("%s_empleados"%archivo_salida, "w")
+ archivo.write("e%d"%1)
+ for i in range(1,cantidad_empleados):
+ #nombre del empleado
+ archivo.write(" e%d"%(i+1))
+ archivo.write("\n")
+ archivo.write("%d"%dedicacion_diaria_diponible_empleado[0])
+ for i in range(1,cantidad_empleados):
+ archivo.write(" %d"%dedicacion_diaria_diponible_empleado[i])
+ archivo.write("\n")
+ archivo.write("%.2f"%habilidad_empleados[0])
+ for i in range(1,cantidad_empleados):
+ archivo.write(" %.2f"%habilidad_empleados[i])
+ archivo.write("\n")
+ archivo.write("%d"%sueldo_semanal_empleado[0])
+ for i in range(1,cantidad_empleados):
+ archivo.write(" %d"%sueldo_semanal_empleado[i])
+
+ #archivo de salida de tareas
+ archivo = open ("%s_tareas"%archivo_salida, "w")
+ archivo.write("%d"%deadline_dias)
+ archivo.write("\n")
+ archivo.write("t%d"%1)
+ for i in range(1,cantidad_tareas):
+ #nombre de la tarea
+ archivo.write(" t%d"%(i+1))
+ archivo.write("\n")
+ archivo.write("%d"%esfuerzo_requerido_tarea[0])
+ for i in range(1,cantidad_tareas):
+ archivo.write(" %d"%esfuerzo_requerido_tarea[i])
+
+
+ #archivo cantidad de tareas
+ archivo = open ("%s_cantidad_tareas"%archivo_salida, "w")
+ archivo.write("%d"%cantidad_tareas)
+
+ #archivo cantidad de trabajos
+ archivo = open ("%s_cantidad_empleados"%archivo_salida, "w")
+ archivo.write("%d"%cantidad_empleados)
+
+
+except IOError as error:
+ print error
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.cfg
new file mode 100644
index 0000000..c7caf7a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.cfg
@@ -0,0 +1,18 @@
+10 // number of independent runs
+100 // number of generations
+60 // number of individuals
+100 // size of offsprings in each generation
+1 // if replaces parents for offsprings, or only offsprings may be new parents
+1 // display state ?
+Selections // selections to apply
+1 3 // selection of parents
+2 0 // selection of offsprings
+Intra-Operators // operators to apply in the population
+0 0.6 // crossover & its probability
+1 1.0 0.01 // mutation & its probability
+Inter-Operators // operators to apply between this population and anothers
+0 10 5 1 3 1 5 // operator number, operator rate, number of individuals, selection of indidivual to send and remplace
+LAN-configuration
+1 // refresh global state
+0 // 0: running in asynchronized mode / 1: running in synchronized mode
+1 // interval of generations to check solutions from other populations
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.hh
new file mode 100644
index 0000000..552b264
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.hh
@@ -0,0 +1,868 @@
+/*********************************************************************************************************
+*** ***
+*** new Genetic Algorithm Skeleton v1.5 ***
+*** Developed by: Gabriel Jesús Luque Polo ***
+*** Last Update: 27-01-2003 ***
+*** ***
+*** tabular size = 4 ***
+**********************************************************************************************************/
+
+#ifndef INC_newGA
+#define INC_newGA
+#include "newGAstructures.hh"
+
+skeleton newGA
+{
+// Si se definen más de 5 nuevos operadores por parte del usuario, se debe cambiar esta constante.
+#define MAX_OP_USER 5
+// Si se algún operador tiene más de 5 parámetros se debe modificar esta variable
+#define MAX_PROB_PER_OP 5
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Population;
+ provides class Inter_Operator;
+ provides class Migration;
+ provides class Selection;
+ provides class Selection_Tournament;
+ provides class Selection_Roulette_Wheel;
+ provides class Selection_Rank;
+ provides class Selection_Best;
+ provides class Selection_Worst;
+ provides class Operator_Pool;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+ provides class StopCondition;
+
+ requires class Problem;
+ requires class Solution;
+ requires class UserStatistics;
+ requires class Intra_Operator;
+ requires class Crossover;
+ requires class Mutation;
+ requires class StopCondition_1;
+ requires bool terminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem();
+ ~Problem();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int cantDias() const;
+ int cantEmpleados() const;
+ int dimension() const;
+
+ Empleado * empleados() const;
+ int * tareasEsf() const;
+ int * tareasIndex() const;
+ int ** limite_barrios() const;
+ const char* getfield(char* line, int num);
+
+ private:
+ int _cantDias;
+ Empleado * _empleados;
+ int * _tareasEsf;
+ int * _tareasIndex;
+ int _cantEmpleados;
+ int _dimension;
+ int ** _limite_barrios;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_cadena_);
+
+ void initialize();
+ double fitness ();
+ unsigned int size() const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluation_best_found_trial;
+ unsigned long nb_iteration_best_found_trial;
+ double best_cost_trial;
+ double worst_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Intra_Operator ( clase abstracta ) --------------------------------------------------------------
+
+ requires class Intra_Operator
+ {
+ protected:
+ unsigned int _number_operator;
+ float *probability;
+
+ public:
+ Intra_Operator(const unsigned int _number_op);
+ virtual ~Intra_Operator();
+
+ static Intra_Operator *create(const unsigned int _number_op);
+ friend ostream& operator<< (ostream& os, const Intra_Operator& intra);
+
+ virtual void execute(Rarray<Solution*>& sols) const=0;
+ virtual void setup(char line[MAX_BUFFER]) = 0;
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const=0;
+ virtual void UpdateFromState(const StateCenter& _sc)=0;
+ };
+
+// Crossover ----------------------------------------------------------------------------------
+
+ requires class Crossover: public Intra_Operator
+ {
+ public:
+ Crossover();
+ virtual ~Crossover();
+
+ friend ostream& operator << (ostream& os, const Crossover& cross);
+
+ void cross(Solution &sol1,Solution &sol2) const;
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Mutation ----------------------------------------------------------------------------------
+
+ requires class Mutation: public Intra_Operator
+ {
+ public:
+ Mutation();
+ virtual ~Mutation();
+
+ friend ostream& operator<< (ostream& os, const Mutation& mutation);
+
+ void mutate(Solution& sol) const;
+ // applies mutation over all solutions in array sols
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+
+ };
+
+// StopCondition ----------------------------------------------------------------------------------
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+// StopCondition_1 {subclase-------------------------------------------------------------------------
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _nb_evolution_steps;
+ unsigned int _population_size; // number of individuals
+ unsigned int _population_additional_size; // size of offspring in each generation
+ bool _combine; // combines parents and offsprings to select new parents ?
+ bool _display_state;
+
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _check_asynchronous;
+
+ // selection of parents and offsprings
+ mutable unsigned int _select_parents;
+ mutable unsigned int _select_offsprings;
+ mutable unsigned int _parameter_select_parents;
+ mutable unsigned int _parameter_select_offsprings;
+
+ Rlist<unsigned int> _intra_operators;
+ Rlist<unsigned int> _inter_operators;
+
+ Operator_Pool& _pool;
+
+ public:
+ SetUpParams (Operator_Pool& pool);
+ Operator_Pool& pool() const;
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long nb_evolution_steps() const;
+ const unsigned int population_size() const;
+ const unsigned int population_additional_size() const;
+ const bool combine() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int check_asynchronous() const;
+
+ void independent_runs(const unsigned int val);
+ void nb_evolution_steps(const unsigned long val);
+ void population_size(const unsigned int val);
+ void population_additional_size(const unsigned int val);
+ void combine(const bool val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void check_asynchronous(const unsigned int val);
+
+ // gets the i-th operator of inter-population
+ const unsigned int inter_operator_index(const unsigned int index) const;
+ const unsigned int inter_operators_size() const;
+
+ // gets the i-th operator of intra-population
+ const unsigned int intra_operator_index(const unsigned int index) const;
+ const unsigned int intra_operators_size() const;
+
+ const unsigned int select_parents() const;
+ const unsigned int select_offsprings() const;
+ const unsigned int parameter_select_parents() const;
+ const unsigned int parameter_select_offsprings() const;
+
+ void select_parents(const unsigned int val);
+ void select_offsprings(const unsigned int val);
+ void parameter_select_parents(const unsigned int val);
+ void parameter_select_offsprings(const unsigned int val);
+
+ void RefreshState(const StateCenter& _sc) const;
+ void UpdateFromState(const StateCenter& _sc) const;
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_generation;
+ unsigned long nb_evaluation;
+ double best_cost;
+ double global_best_cost;
+ double average_cost;
+ double standard_deviation;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+ ~Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Population ---------------------------------------------------------------------------------
+
+ provides class Population
+ {
+ private:
+ Rarray<Solution*> _parents; // individuals in population
+ Rarray<Solution*> _offsprings; // offsprings of current population
+ Rarray<Solution*> _new_parents; // individuals of previous population
+ Rarray<struct individual> _fitness_values;
+ Rarray<struct individual> _fitness_aux;
+ const SetUpParams& _setup;
+ unsigned int _upper_cost,_lower_cost; // lower and upper fitness of individuals in population
+ unsigned long _evaluations;
+ double _average_cost;
+
+ inline void Evaluate(Solution* sols,struct individual &_f);
+
+ public:
+ Population(const Problem& pbm,const SetUpParams& setup); // crea un array de objetos population;
+ ~Population();
+
+ friend ostream& operator<< (ostream& os, const Population& population);
+ friend istream& operator>> (istream& is, Population& population);
+ Population& operator= (const Population& pop);
+ const SetUpParams& setup() const;
+ void initialize();
+
+ // Generate a new pool of individuals in population
+ void evolution();
+
+ // interchange solutions between island
+ void interchange(const unsigned long current_generation, NetStream& channel);
+
+ // creates a array with fitness of all individuals in population and its position in the population
+ void evaluate_parents();
+
+ // creates a array with fitness of all individuals and offsprings in population and its position in the population
+ void evaluate_offsprings();
+
+ // selects parents to creates offsprings
+ void select_parents();
+
+ // selects individuals for the new population
+ void select_offsprings();
+
+ const Rarray<Solution*>& parents() const;
+ const Rarray<Solution*>& offsprings() const;
+ Rarray<struct individual>& fitness_values();
+
+ unsigned int upper_cost() const;
+ unsigned int lower_cost() const;
+ unsigned int evaluations() const;
+ Solution& solution(const unsigned int index) const;
+ double fitness(const unsigned int index) const;
+
+ double best_cost() const;
+ double worst_cost() const;
+ Solution& best_solution() const;
+ Solution& worst_solution() const;
+ double average_cost() const;
+ double standard_deviation() const;
+ };
+
+// Inter_Operator ( abstract )-----------------------------------------------------------
+
+ provides class Inter_Operator
+ {
+ protected:
+ unsigned int migration_rate;
+ unsigned int migration_size;
+ unsigned int migration_selection_1;
+ unsigned int migration_selection_2;
+ unsigned int migration_selection_conf_1;
+ unsigned int migration_selection_conf_2;
+
+ unsigned int _number_operator;
+ const Direction direction;
+
+ public:
+ Inter_Operator(const unsigned int _number_op, const Direction dir);
+ virtual ~Inter_Operator();
+
+ friend ostream& operator<< (ostream& os, const Inter_Operator& inter);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const=0;
+ virtual void setup(char line[MAX_BUFFER]);
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Migration: public Inter_Operator -----------------------------------------------------------
+
+ provides class Migration: public Inter_Operator
+ {
+ public:
+ Migration(const Direction dir);
+ virtual ~Migration();
+
+ friend ostream& operator<< (ostream& os, const Migration& migration);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const;
+ };
+
+// Selection ( Makes a random selection ) -----------------------------------------
+
+ provides class Selection
+ {
+ protected:
+ unsigned int _number_selection;
+ const Direction direction;
+
+ public:
+
+ Selection(const Direction dir);
+ Selection(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection();
+
+ friend ostream& operator<< (ostream& os, const Selection& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ unsigned int number_selection() const;
+ };
+
+// Selection_Tournament ---------------------------------------------------------------------------------
+
+ provides class Selection_Tournament: public Selection
+ {
+ public:
+ Selection_Tournament(const Direction dir);
+ virtual ~Selection_Tournament();
+
+ friend ostream& operator<< (ostream& os, const Selection_Tournament& sel);
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tourment_size,const bool remplace) const;
+ };
+
+// Selection_Roulette_Wheel ---------------------------------------------------------------------------------
+
+ provides class Selection_Roulette_Wheel: public Selection
+ {
+ public:
+ Selection_Roulette_Wheel(const Direction);
+ virtual ~Selection_Roulette_Wheel();
+
+ friend ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ };
+
+// Selection_Rank ---------------------------------------------------------------------------------
+
+ provides class Selection_Rank: public Selection
+ {
+ public:
+ Selection_Rank(const Direction dir);
+ Selection_Rank(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection_Rank();
+
+ friend ostream& operator<< (ostream& os, const Selection_Rank& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual void reset();
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const;
+ };
+
+// Selection_Best ---------------------------------------------------------------------------------
+
+ provides class Selection_Best: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_best_position;
+
+ public:
+ Selection_Best(const Direction);
+ virtual ~Selection_Best();
+
+ friend ostream& operator<< (ostream& os, const Selection_Best& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Selection_Worst ---------------------------------------------------------------------------------
+
+ provides class Selection_Worst: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_worst_position;
+
+ public:
+ Selection_Worst(const Direction);
+ virtual ~Selection_Worst();
+
+ friend ostream& operator<< (ostream& os, const Selection_Worst& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Operator_Pool -------------------------------------------------------------------------
+
+ // pool with all operators and selections that can be chosen in the setup file
+ provides class Operator_Pool
+ {
+ private:
+ mutable Rlist<Intra_Operator> _intra_operators;
+ Rlist<Selection> _selectors;
+ Rlist<Inter_Operator> _inter_operators;
+
+ public:
+ Operator_Pool(const Problem& pbm);
+ ~Operator_Pool();
+
+ Intra_Operator& intra_operator(const unsigned int index) const;
+ Rlist<Intra_Operator>& intra_operators() const;
+ Selection& selector(const unsigned int index) const;
+ const Rlist<Selection>& selectors() const;
+ Inter_Operator& inter_operator(const unsigned int index) const;
+ const Rlist<Inter_Operator>& inter_operators() const;
+
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Population current_population;
+ StateCenter _sc;
+
+ double best_cost;
+ double worst_cost;
+ Solution best_solution;
+ double average_cost;
+ double standard_deviation;
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_evaluations;
+
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_worst_cost;
+ State_Vble _current_average_cost;
+ State_Vble _current_standard_deviation;
+ State_Vble _current_time_spent;
+
+ State_Vble _best_solution_trial;
+ State_Vble _best_cost_trial;
+ State_Vble _worst_cost_trial;
+ State_Vble _iteration_best_found_in_trial;
+ State_Vble _evaluations_best_found_in_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _evaluations_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _global_worst_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _crossover_probability; // probability of applying the operator over population
+ State_Vble _mutation_probability; // probability of applying the operator over population
+ State_Vble _user_op_probability[MAX_OP_USER]; // probabilities of user operators
+ State_Vble _migration_rate;
+ State_Vble _migration_size;
+ State_Vble _migration_selection_1;
+ State_Vble _migration_selection_2;
+ State_Vble _migration_selection_conf_1;
+ State_Vble _migration_selection_conf_2;
+ State_Vble _select_parents;
+ State_Vble _select_offsprings;
+ State_Vble _parameter_select_parents;
+ State_Vble _parameter_select_offsprings;
+
+ State_Vble _display_state;
+
+
+ public:
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+
+ virtual int pid() const;
+ bool end_trial() const;
+ void end_trial(bool et);
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (const unsigned long int nb_generations) =0;
+ virtual void run (const Population& pop,const unsigned long int nb_generations) =0;
+
+ //Partial execution
+ virtual void StartUp()=0;
+ virtual void StartUp(const Population& pop)=0;
+
+ virtual void DoStep()=0;
+
+ // Statistics handling ----------------------------------------------------------------------
+
+ Statistics& statistics();
+ UserStatistics& userstatistics ();
+ Population& population();
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling ---------------------------------------------------------------------------
+
+ void RefreshState();
+ void RefreshCfgState();
+ void UpdateFromState();
+ void UpdateFromCfgState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ unsigned long current_evaluations() const;
+ Solution current_best_solution() const;
+ double current_best_cost() const;
+ double current_worst_cost() const;
+ double current_average_cost() const;
+ double current_standard_deviation() const;
+ float current_time_spent() const;
+ Solution best_solution_trial() const;
+ double best_cost_trial() const;
+ double worst_cost_trial() const;
+ unsigned int iteration_best_found_in_trial() const;
+ unsigned int evaluations_best_found_in_trial() const;
+ float time_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ unsigned int evaluations_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ double global_worst_cost() const;
+ float time_best_found() const;
+ int display_state() const;
+
+ float *crossover_probability() const;
+ float *mutation_probability() const;
+ float *user_op_probability(const int index) const;
+ unsigned int migration_rate() const;
+ unsigned int migration_size() const;
+ unsigned int migration_selection_1() const;
+ unsigned int migration_selection_2() const;
+ unsigned int migration_selection_conf_1() const;
+ unsigned int migration_selection_conf_2() const;
+ unsigned int select_parents() const;
+ unsigned int select_offprings() const;
+ unsigned int parameter_select_parents() const;
+ unsigned int parameter_select_offsprings() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_evaluations(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_worst_cost(const double value);
+ void current_average_cost(const double value);
+ void current_standard_deviation(const double value);
+ void current_time_spent(const float value);
+ void best_solution_trial(const Solution& sol);
+ void best_cost_trial(const double value);
+ void worst_cost_trial(const double value);
+ void iteration_best_found_in_trial(const unsigned int value);
+ void evaluations_best_found_in_trial(const unsigned int value);
+ void time_best_found_trial(const float value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void evaluations_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void global_worst_cost(const double value);
+ void time_best_found(const float value);
+ void display_state(const int value);
+
+ void crossover_probability(const float *probability);
+ void mutation_probability(const float *probability);
+ void user_op_probability(const int index,const float *probability);
+ void migration_rate(const unsigned int rate);
+ void migration_size(const unsigned int size);
+ void migration_selection_1(const unsigned int seleciton_1);
+ void migration_selection_2(const unsigned int selection_2);
+ void migration_selection_conf_1(const unsigned int selection_conf_1);
+ void migration_selection_conf_2(const unsigned int selection_conf_2);
+ void select_parents(const unsigned int selection);
+ void select_offsprings(const unsigned int selection);
+ void parameter_select_parents(const unsigned int value);
+ void parameter_select_offsprings(const unsigned int value);
+
+ void show_state() const;
+ void KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_trial,const float total_time_spent);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ int receive_local_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ unsigned long acum_iterations;
+ unsigned long acum_evaluations;
+
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ //Communication
+ void send_local_state_to(int _mypid);
+ void check_for_refresh_global_state();
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ int receive_local_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ unsigned long acum_iterations;
+ unsigned long acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ //Communication
+ void send_local_state_to(int _mypid);
+ void check_for_refresh_global_state();
+ void reset();
+ };
+
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.pro.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.pro.cc
new file mode 100644
index 0000000..dfdd244
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.pro.cc
@@ -0,0 +1,2831 @@
+#include "newGA.hh"
+
+skeleton newGA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams (Operator_Pool& pool)
+ : _independent_runs(0),
+ _nb_evolution_steps(0),
+ _population_size(0),
+ _population_additional_size(0),
+ _select_parents(0),
+ _select_offsprings(0),
+ _parameter_select_parents(0),
+ _parameter_select_offsprings(0), // Parameter of selection is fixed to 0
+ _inter_operators(),
+ _intra_operators(),
+ _combine(1),
+ _refresh_global_state(1),
+ _synchronized(0),
+ _check_asynchronous(1),
+ _display_state(0),
+ _pool(pool)
+ {}
+
+ Operator_Pool& SetUpParams::pool() const
+ {
+ return _pool;
+ }
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ long op;
+ int parameter;
+ short int nb_section=0;
+ short int nb_io = 0;
+ short int nb_selection = 0;
+ short int nb_param=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"Selections"))) nb_section=1;
+ if (!(strcmp(command,"Intra-Operators"))) nb_section=2;
+ if (!(strcmp(command,"Inter-Operators"))) nb_section=3;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=4;
+
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.nb_evolution_steps(op); break;
+ case 2: setup.population_size(op); break;
+ case 3: setup.population_additional_size(op); break;
+ case 4: setup.combine(op); break;
+ case 5: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: op=-1; // creates the chosen selection method
+ parameter=0;
+ sscanf(buffer," %d %d",&op,¶meter);
+ if (nb_selection>=2) break;
+ assert(parameter>=0);
+ if (nb_selection==0)
+ {
+ setup.select_parents(op);
+ setup.parameter_select_parents(parameter);
+ }
+ else
+ {
+ setup.select_offsprings(op);
+ setup.parameter_select_offsprings(parameter);
+ }
+ nb_selection++;
+ break;
+ case 2: setup.pool().intra_operators().append(Intra_Operator::create(op));
+ setup.pool().intra_operator(nb_io).setup(buffer);
+ setup._intra_operators.append(new unsigned int(nb_io));
+ nb_io++;
+ break;
+ case 3: setup._inter_operators.append(new unsigned int(op));
+ setup.pool().inter_operator(op).setup(buffer);
+ break;
+ case 4: if (nb_LAN_param>=3) break;
+ switch (nb_LAN_param)
+ {
+ case 0: setup.refresh_global_state(op); break;
+ case 1: setup.synchronized(op); break;
+ case 2: assert(op>0);
+ setup.check_asynchronous(op); break;
+ }
+ nb_LAN_param++;
+ break;
+ }
+ }
+
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evolution steps: " << setup.nb_evolution_steps() << endl
+ << "\t" << "Size of Population: " << setup.population_size() << endl
+ << "\t" << "Size of Additional population: " << setup.population_additional_size() << endl;
+ if (setup.combine())
+ os << "\t" <<"With combination between parents and offsprings" << endl;
+ else
+ os << "\t" <<"Without combination between parents and offsprings" << endl;
+
+ os << "\t" << "Display State: " << setup.display_state() << endl << endl
+ << "\t" << "Selections:" << endl
+ << "\t" << "-----------" << endl << endl
+ << "\t" << "Selection parents -> " << setup.pool().selector(setup.select_parents()) << endl
+ << "\t" << "Parameter of selection: " << setup.parameter_select_parents() << endl
+ << "\t" << "Selection offsprings -> " << setup.pool().selector(setup.select_offsprings()) << endl
+ << "\t" << "Parameter of selection: " << setup.parameter_select_offsprings() << endl << endl
+ << "\t" << "Intra_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.intra_operators_size();i++)
+ os << "\t" << (setup.pool().intra_operator(setup.intra_operator_index(i))) << endl;
+
+ os << endl << "\t" << "Inter_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.inter_operators_size();i++)
+ os << "\t" << "Operator: " << setup.pool().inter_operator(setup.inter_operator_index(i)) << endl;
+
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+ os << "\t" << "Interval for checking asynchronous receptions: " << setup.check_asynchronous() << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::nb_evolution_steps() const
+ {
+ return _nb_evolution_steps;
+ }
+
+ const unsigned int SetUpParams::population_size() const
+ {
+ return _population_size;
+ }
+
+ const unsigned int SetUpParams::population_additional_size() const
+ {
+ return _population_additional_size;
+ }
+
+ const bool SetUpParams::combine() const
+ {
+ return _combine;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::check_asynchronous() const
+ {
+ return _check_asynchronous;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs=val;
+ }
+
+ void SetUpParams::nb_evolution_steps(const unsigned long val)
+ {
+ _nb_evolution_steps=val;
+ }
+
+ void SetUpParams::population_size(const unsigned int val)
+ {
+ _population_size=val;
+ }
+
+ void SetUpParams::population_additional_size(const unsigned int val)
+ {
+ _population_additional_size=val;
+ }
+
+ void SetUpParams::combine(const bool val)
+ {
+ _combine=val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::check_asynchronous(const unsigned int val)
+ {
+ _check_asynchronous=val;
+ }
+
+ const unsigned int SetUpParams::select_parents() const
+ {
+ return _select_parents;
+ }
+
+ const unsigned int SetUpParams::select_offsprings() const
+ {
+ return _select_offsprings;
+ }
+
+ const unsigned int SetUpParams::parameter_select_parents() const
+ {
+ return _parameter_select_parents;
+ }
+
+ const unsigned int SetUpParams::parameter_select_offsprings() const
+ {
+ return _parameter_select_offsprings;
+ }
+
+ void SetUpParams::select_parents(const unsigned int val)
+ {
+ _select_parents=val;
+ }
+
+ void SetUpParams::select_offsprings(const unsigned int val)
+ {
+ _select_offsprings=val;
+ }
+
+ void SetUpParams::parameter_select_parents(const unsigned int val)
+ {
+ _parameter_select_parents=val;
+ }
+
+ void SetUpParams::parameter_select_offsprings(const unsigned int val)
+ {
+ _parameter_select_offsprings=val;
+ }
+
+ const unsigned int SetUpParams::intra_operator_index(const unsigned int index) const
+ {
+ return _intra_operators[index];
+ }
+
+ const unsigned int SetUpParams::intra_operators_size() const
+ {
+ return _intra_operators.size();
+ }
+
+ const unsigned int SetUpParams::inter_operator_index(const unsigned int index) const
+ {
+ return _inter_operators[index];
+ }
+
+ const unsigned int SetUpParams::inter_operators_size() const
+ {
+ return _inter_operators.size();
+ }
+
+ void SetUpParams::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&_select_parents,1,sizeof(_select_parents));
+ _sc.set_contents_state_variable("_parameter_select_parents",(char *)&_parameter_select_parents,1,sizeof(_parameter_select_parents));
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,1,sizeof(_select_offsprings));
+ _sc.set_contents_state_variable("_parameter_select_offsprings",(char *)&_parameter_select_offsprings,1,sizeof(_parameter_select_offsprings));
+ _sc.set_contents_state_variable("_display_state",(char *)&_display_state,1,sizeof(bool));
+ }
+
+ void SetUpParams::UpdateFromState(const StateCenter& _sc) const
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&_select_parents,nbytes,length);
+ _sc.get_contents_state_variable("_parameter_select_parents",(char *)&_parameter_select_parents,nbytes,length);
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,nbytes,length);
+ _sc.get_contents_state_variable("_parameter_select_offsprings",(char *)&_parameter_select_offsprings,nbytes,length);
+ _sc.get_contents_state_variable("_display_state",(char *)&_display_state,nbytes,length);
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Trial: " << stats.stats_data[i].trial
+ << " Generation: " << stats.stats_data[i].nb_generation
+ << " Evaluation: " << stats.stats_data[i].nb_evaluation
+ << " Current best cost: " << stats.stats_data[i].best_cost
+ << " Global best cost: " << stats.stats_data[i].global_best_cost
+ << " Avg: " << stats.stats_data[i].average_cost
+ << " Std. Dev.: " << stats.stats_data[i].standard_deviation;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ struct stat *new_stat=(struct stat *)malloc(sizeof(struct stat));
+
+ new_stat->trial=solver.current_trial();
+ new_stat->nb_generation=solver.current_iteration();
+ new_stat->nb_evaluation=solver.current_evaluations();
+ new_stat->average_cost=solver.current_average_cost();
+ new_stat->standard_deviation=solver.current_standard_deviation();
+ new_stat->best_cost=solver.current_best_cost();
+ new_stat->global_best_cost=solver.global_best_cost();
+
+ stats_data.append(*new_stat);
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+ Statistics::~Statistics()
+ {}
+
+// Population ------------------------------------------------------
+
+ Population::Population(const Problem& pbm,const SetUpParams& setup)
+ :_parents(setup.population_size()),
+ _fitness_values(setup.population_size()),
+ _new_parents(setup.population_size()),
+ _offsprings(setup.population_additional_size()),
+ _setup(setup),
+ _evaluations(0)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]=new Solution(pbm);
+ _new_parents[i]=new Solution(pbm);
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ for (int i=0;i<_offsprings.size();i++)
+ _offsprings[i]=new Solution(pbm);
+
+ }
+
+ void Population::Evaluate(Solution* sols,struct individual &_f)
+ {
+ if(_f.change)
+ {
+ _f.change = false;
+ _f.fitness = sols->fitness();
+ _evaluations++;
+ }
+ }
+
+ Population& Population::operator= (const Population& pop)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ *_parents[i]=*((pop.parents())[i]);
+ _fitness_values[i] = pop._fitness_values[i];
+ _evaluations = pop._evaluations;
+ }
+ return (*this);
+ }
+
+ istream& operator>> (istream& is, Population& population)
+ {
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Population& population)
+ {
+ os << "---------------------------------------------------------------" << endl;
+ os << " PRESENT POPULATION " << endl << endl;
+ for (int i=0;i<population._parents.size();i++)
+ os << *population._parents[i] << endl;
+ os << endl << "---------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ const SetUpParams& Population::setup() const
+ {
+ return _setup;
+ }
+
+ void Population::initialize()
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]->initialize();
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ evaluate_parents();
+ }
+
+ void Population::evaluate_parents()
+ {
+ double upper_fitness=(infinity() * (-1));
+ double lower_fitness=(infinity());
+ double current_fitness;
+ double cost=0.0;
+
+ for (int i=0;i<_fitness_values.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ current_fitness = _fitness_values[i].fitness;
+
+ if (current_fitness > upper_fitness )
+ {
+ _upper_cost=i;
+ upper_fitness = current_fitness;
+ }
+
+ if (current_fitness < lower_fitness )
+ {
+ _lower_cost=i;
+ lower_fitness = current_fitness;
+ }
+
+ cost += current_fitness;
+ }
+
+ _average_cost = cost / _fitness_values.size();
+ }
+
+ void Population::evaluate_offsprings()
+ {
+ int i=0;
+ if (_setup.combine()) // new individuals selected between current individuals and offsprings
+ {
+ _fitness_aux=Rarray<struct individual>(_parents.size() + _offsprings.size());
+ for (i=0;i<_parents.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ _fitness_aux[i] = _fitness_values[i];
+ }
+
+ for (int j=i;(j-i)<_offsprings.size();j++)
+ {
+ _fitness_aux[j].index=j;
+ _fitness_aux[j].change=true;
+ Evaluate(_offsprings[j-i],_fitness_aux[j]);
+ }
+ }
+ else // new individuals selected only between offsprings
+ {
+ _fitness_aux=Rarray<struct individual>(_offsprings.size());
+ for (i=0;i<_offsprings.size();i++)
+ {
+ _fitness_aux[i].index=i;
+ _fitness_aux[i].change=true;
+ Evaluate(_offsprings[i],_fitness_aux[i]);
+ }
+ }
+ }
+
+ void Population::evolution()
+ {
+ select_parents(); // selects individuals to apply operators
+
+ // apply selected operators
+ for (int i=0;i<_setup.intra_operators_size();i++)
+ _setup.pool().intra_operator(_setup.intra_operator_index(i)).execute(_offsprings);
+
+ evaluate_offsprings();
+ select_offsprings(); // selects new individuals
+ evaluate_parents(); // calculates fitness of new individuals
+ }
+
+ void Population::interchange(const unsigned long current_generation, NetStream& channel)
+ {
+ // apply selected operators
+ for (int i=0;i<_setup.inter_operators_size();i++)
+ _setup.pool().inter_operator(_setup.inter_operator_index(i)).execute((*this),current_generation,channel,_setup.synchronized(),_setup.check_asynchronous());
+ }
+
+ void Population::select_parents()
+ {
+ _setup.pool().selector(_setup.select_parents()).prepare(_fitness_values,false);
+ struct individual ind;
+ for (int i=0;i<_offsprings.size();i++)
+ {
+ ind = _setup.pool().selector(_setup.select_parents()).select_one(_parents,_offsprings,_fitness_values,_setup.parameter_select_parents(),false);
+ *_offsprings[i] = *_parents[ind.index];
+ }
+ }
+
+ void Population::select_offsprings()
+ {
+ _setup.pool().selector(_setup.select_offsprings()).prepare(_fitness_aux,false);
+ const int ps = _parents.size();
+ Rarray<struct individual> aux(ps);
+
+ for (int i=0;i<ps;i++)
+ {
+ if (_setup.combine())
+ {
+ aux[i] = _setup.pool().selector(_setup.select_offsprings()).select_one(_parents,_offsprings,_fitness_aux,_setup.parameter_select_offsprings(),false);
+ if(aux[i].index < ps)
+ {
+ *_new_parents[i] = *_parents[aux[i].index];
+ aux[i].index = i;
+ }
+ else
+ {
+ *_new_parents[i] = *_offsprings[aux[i].index-ps];
+ aux[i].index = i;
+ }
+ }
+ else
+ {
+ aux[i]=_setup.pool().selector(_setup.select_offsprings()).select_one(_offsprings,_offsprings,_fitness_aux,_setup.parameter_select_offsprings(),false);
+ *_parents[i] = *_offsprings[aux[i].index];
+ aux[i].index = i;
+ }
+ }
+
+ if (_setup.combine()) // interchanges current and new parents in the population
+ {
+ Solution *interchange;
+ for (int i=0;i<ps;i++)
+ {
+ interchange=_parents[i];
+ _parents[i]=_new_parents[i]; // interchanges pointers to solutions ( NO solutions !! )
+ _new_parents[i]=interchange;
+ }
+ }
+ for (int i=0;i<ps;i++)
+ {
+ _fitness_values[i] = aux[i];
+ }
+ }
+
+ const Rarray<Solution*>& Population::parents() const
+ {
+ return _parents;
+ }
+
+ const Rarray<Solution*>& Population::offsprings() const
+ {
+ return _offsprings;
+ }
+
+ Rarray<struct individual>& Population::fitness_values()
+ {
+ return _fitness_values;
+ }
+
+ unsigned int Population::upper_cost() const
+ {
+ return _upper_cost;
+ }
+
+ unsigned int Population::lower_cost() const
+ {
+ return _lower_cost;
+ }
+
+ unsigned int Population::evaluations() const
+ {
+ return _evaluations;
+ }
+
+ double Population::best_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_lower_cost].fitness;
+ else
+ return _fitness_values[_upper_cost].fitness;
+ }
+
+ double Population::worst_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_upper_cost].fitness;
+ else
+ return _fitness_values[_lower_cost].fitness;
+ }
+
+ Solution& Population::best_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_lower_cost].index];
+ else
+ return *_parents[_fitness_values[_upper_cost].index];
+ }
+
+ Solution& Population::worst_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_upper_cost].index];
+ else
+ return *_parents[_fitness_values[_lower_cost].index];
+ }
+
+ Solution& Population::solution(const unsigned int index) const
+ {
+ return *_parents[index];
+ }
+
+ double Population::fitness(const unsigned int index) const
+ {
+ return _fitness_values[index].fitness;
+ }
+
+ double Population::average_cost() const
+ {
+ return _average_cost;
+ }
+
+ double Population::standard_deviation() const
+ {
+ double standard=0.0;
+ for (int i=0;i<_fitness_values.size();i++)
+ standard += pow ((_fitness_values[i].fitness - _average_cost),2);
+ standard=sqrt(standard / (_fitness_values.size()-1));
+ return standard;
+ }
+
+ Population::~Population()
+ {
+ for (int i=0;i<_parents.size();i++)
+ delete(_parents[i]);
+ for (int i=0;i<_offsprings.size();i++)
+ delete(_offsprings[i]);
+ for (int j=0;j<_new_parents.size();j++)
+ delete(_new_parents[j]);
+ }
+
+
+// Inter_operator -------------------------------------------------------------------
+
+ Inter_Operator::Inter_Operator(const unsigned int _number_op,const Direction dir):
+ _number_operator(_number_op),
+ direction(dir),
+ migration_rate(1),
+ migration_size(1),
+ migration_selection_1(0),
+ migration_selection_2(0),
+ migration_selection_conf_1(0),
+ migration_selection_conf_2(0)
+ {}
+
+ unsigned int Inter_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ void Inter_Operator::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ int new_migration_rate=1;
+ int new_migration_size=1;
+ int new_migration_selection_1=0;
+ int new_migration_selection_conf_1=0;
+ int new_migration_selection_2=0;
+ int new_migration_selection_conf_2=0;
+
+ sscanf(line," %d %d %d %d %d %d %d ",&op,&new_migration_rate,&new_migration_size,&new_migration_selection_1,&new_migration_selection_conf_1,&new_migration_selection_2,&new_migration_selection_conf_2);
+
+ assert(new_migration_rate>0);
+ assert(new_migration_size>0);
+ assert(new_migration_selection_1>=0);
+ assert(new_migration_selection_conf_1>=0);
+ assert(new_migration_selection_2>=0);
+ assert(new_migration_selection_conf_2>=0);
+
+ migration_rate=new_migration_rate;
+ migration_size=new_migration_size;
+ migration_selection_1=new_migration_selection_1;
+ migration_selection_conf_1=new_migration_selection_conf_1;
+ migration_selection_2=new_migration_selection_2;
+ migration_selection_conf_2=new_migration_selection_conf_2;
+ }
+
+ void Inter_Operator::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&migration_rate,1,sizeof(migration_rate));
+ _sc.set_contents_state_variable("_migration_size",(char *)&migration_size,1,sizeof(migration_size));
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,1,sizeof(migration_selection_1));
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,1,sizeof(migration_selection_2));
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,1,sizeof(migration_selection_conf_1));
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,1,sizeof(migration_selection_conf_2));
+ }
+
+ void Inter_Operator::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&migration_rate,nitems,length);
+ _sc.get_contents_state_variable("_migration_size",(char *)&migration_size,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,nitems,length);
+ }
+
+ ostream& operator<< (ostream& os, const Inter_Operator& inter)
+ {
+ switch (inter.number_operator())
+ {
+ case 0: os << (Migration&)inter;break;
+ }
+ return os;
+ }
+
+ Inter_Operator::~Inter_Operator()
+ {}
+
+// Migration ------------------------------------------------------------
+
+ Migration::Migration(const Direction dir):Inter_Operator(0,dir)
+ {}
+
+ void Migration::execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asynchronous) const
+ {
+
+ Solution* solution_to_send;
+ Solution* solution_received;
+ Solution* solution_to_remplace;
+ bool need_to_revaluate=false;
+ int mypid;
+
+ int nb_proc=_netstream.pnumber(); // Get the number of processes running
+
+ mypid=_netstream.my_pid();
+
+ int to = (mypid + 1) % nb_proc; // Source (from) and Target (to) of processes
+ int from = (nb_proc + mypid - 1) % nb_proc;
+
+ // process number 0 is only to store the global state
+ if (to==0) to=1;
+ if (from==0) from=nb_proc - 1;
+
+ _netstream << set_target(to) << set_source(from)
+ << get_target(&to) << get_source(&from);
+
+ if ( (current_generation % migration_rate) == 0
+ && (current_generation!=pop.setup().nb_evolution_steps())) // in this generation this operator have to be applied
+ {
+ pop.setup().pool().selector(migration_selection_1).prepare(pop.fitness_values(),false);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to send
+ solution_to_send = pop.parents()[pop.setup().pool().selector(migration_selection_1).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_1,false).index];
+
+ _netstream << *solution_to_send;
+ }
+ _netstream << pack_end;
+
+ if (synchronized) // synchronous mode: blocked until data are received
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+ int tipo = 0;
+ _netstream._wait2(any,tipo);
+
+ if (tipo == 1){
+ return;
+ }
+
+ _netstream << wait(packed);
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ }
+ _netstream << pack_end;
+
+ }
+ } // end if
+
+ if (!synchronized && ((current_generation % check_asynchronous) ==0))
+ { // asynchronous mode: if there are not data, continue;
+ // but, if there are data, i have to receive it
+ int pending=false;
+ _netstream._probe(packed,pending);
+ if (pending)
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ pending=false;
+ _netstream._probe(regular,pending);
+ if (!pending) break;
+
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ } // end for
+ _netstream << pack_begin;
+ } // end if
+ }
+
+ if (need_to_revaluate) pop.evaluate_parents();
+ }
+
+ ostream& operator<< (ostream& os, const Migration& migration)
+ {
+ os << "Migration."
+ << endl << "\t" << " Rate: " << migration.migration_rate
+ << endl << "\t" << " Size: " << migration.migration_size
+ << endl << "\t" << " Selection 1: " << migration.migration_selection_1
+ << endl << "\t" << " Selection 1 Parameter: " << migration.migration_selection_conf_1
+ << endl << "\t" << " Selection 2: " << migration.migration_selection_2
+ << endl << "\t" << " Selection 2 Parameter: " << migration.migration_selection_conf_2;
+ return os;
+ }
+
+ Migration::~Migration()
+ {}
+
+// Selection ------------------------------------------------------------
+
+ Selection::Selection(const Direction dir):_number_selection(0),direction(dir)
+ {}
+
+ Selection::Selection(const unsigned int _number_sel, const Direction dir):_number_selection(_number_sel),direction(dir)
+ {}
+
+ void Selection::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {}
+
+ struct individual Selection::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const
+ { // select a random individual
+ return fitness_values[rand_int(0,fitness_values.size()-1)];
+ }
+
+ unsigned int Selection::number_selection() const
+ {
+ return _number_selection;
+ }
+
+ ostream& operator<< (ostream& os, const Selection& sel)
+ {
+ switch (sel.number_selection())
+ {
+ case 0: os << "Random Selection"; break;
+ case 1: os << (Selection_Tournament&)sel; break;
+ case 2: os << (Selection_Roulette_Wheel&)sel; break;
+ case 3: os << (Selection_Rank&)sel; break;
+ case 4: os << (Selection_Best&)sel; break;
+ case 5: os << (Selection_Worst&)sel; break;
+ }
+ return os;
+ }
+
+ Selection::~Selection()
+ {}
+
+// Selection_Tournament----------------------------------------------------
+
+ Selection_Tournament::Selection_Tournament(const Direction dir):Selection(1,dir)
+ {}
+
+ struct individual Selection_Tournament::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tournament_size, const bool remplace) const
+ {
+ unsigned int best_sol=0;
+ double best_fitness=((-1) * direction * infinity());
+ unsigned int index;
+
+ if (remplace) best_fitness = -1 * best_fitness;
+
+ unsigned int new_tournament_size=tournament_size;
+ if (tournament_size==0) new_tournament_size=1;
+
+ for (int i=0;i<new_tournament_size;i++)
+ {
+ index=rand_int(0,fitness_values.size()-1);
+
+ switch (direction)
+ {
+ case (minimize): if (((!remplace) && (fitness_values[index].fitness<best_fitness))
+ || ((remplace) && (fitness_values[index].fitness>best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ case (maximize): if (((!remplace) && (fitness_values[index].fitness>best_fitness))
+ || ((remplace) && (fitness_values[index].fitness<best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ }
+ }
+
+ return fitness_values[best_sol];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Tournament& sel)
+ {
+ os << "Tournament Selection.";
+ return os;
+ }
+
+ Selection_Tournament::~Selection_Tournament()
+ {}
+
+// Selection_Roulette_Wheel ---------------------------------------------------
+
+ Selection_Roulette_Wheel::Selection_Roulette_Wheel(const Direction dir):Selection(2,dir)
+ {}
+
+ void Selection_Roulette_Wheel::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+ double overall_fitness=0.0;
+
+ // inverts fitness values to select less fitness individuals with a high probability
+ if ((direction==maximize && (remplace)) || ((direction==minimize) && (!(remplace))))
+ {
+ // fitness assigned if the fitness value is 0 in this case
+ double value_if_zero=DBL_MAX;
+ unsigned int nb_zeros=0;
+
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ value_if_zero-=fitness_values[i].fitness;
+ else
+ nb_zeros++;
+ }
+
+ value_if_zero=value_if_zero/nb_zeros;
+
+ // Warning !! if fitness is 0 (1/0 ?)
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ fitness_values[i].sel_parameter = (1 / fitness_values[i].fitness );
+ else
+ fitness_values[i].sel_parameter = value_if_zero;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+ }
+ else
+ {
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = fitness_values[i].fitness;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+
+ }
+
+ if (overall_fitness>DBL_MAX) overall_fitness=DBL_MAX;
+
+ // calculate relative fitness
+ double previous=0.0;
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = (fitness_values[i].sel_parameter / overall_fitness) + previous;
+ previous = fitness_values[i].sel_parameter;
+ }
+ }
+
+ struct individual Selection_Roulette_Wheel::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy, const bool remplace) const
+ {
+ double random_selected=rand01();
+ int i=0;
+
+ while (random_selected > fitness_values[i].sel_parameter )
+ i++;
+
+ return fitness_values[i];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel)
+ {
+ os << "Roulette Wheel Selection.";
+ return os;
+ }
+
+ Selection_Roulette_Wheel::~Selection_Roulette_Wheel()
+ {}
+
+// Selection_Rank --------------------------------------------------
+
+ int lessF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness < i2.fitness;
+ }
+
+ int greaterF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness > i2.fitness;
+ }
+
+ Selection_Rank::Selection_Rank(const Direction dir):Selection(3,dir)
+ {}
+
+ Selection_Rank::Selection_Rank(const unsigned int _number_sel, const Direction dir):Selection(_number_sel,dir)
+ {}
+
+ void Selection_Rank::reset()
+ {}
+
+ void Selection_Rank::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+ reset();
+
+ // sort individuals
+ if (((direction==maximize) && (!(remplace))) || ((direction==minimize) && (remplace)))
+ fitness_values.sort(greaterF);
+ else
+ fitness_values.sort(lessF);
+ }
+
+ struct individual Selection_Rank::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const
+ {
+
+ unsigned int new_portion=portion;
+ if (portion==0 || portion>100) new_portion=100;
+
+ return fitness_values[rand_int(0,(( fitness_values.size() * new_portion )/ 100)-1)];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Rank& sel)
+ {
+ os << "Rank-Ordered Selection.";
+ return os;
+ }
+
+ Selection_Rank::~Selection_Rank()
+ {}
+
+// Selection_Best --------------------------------------------------
+
+ Selection_Best::Selection_Best(const Direction dir):Selection_Rank(4,dir),selection_best_position(0)
+ {}
+
+ struct individual Selection_Best::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_best_position;
+ selection_best_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ return fitness_values[position_to_return];
+ }
+
+ void Selection_Best::reset()
+ {
+ selection_best_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Best& sel)
+ {
+ os << "Selection of best ordered individuals.";
+ return os;
+ }
+
+ Selection_Best::~Selection_Best()
+ {}
+
+// Selection_Worst --------------------------------------------------
+
+ Selection_Worst::Selection_Worst(const Direction dir):Selection_Rank(5,dir),selection_worst_position(0)
+ {}
+
+ struct individual Selection_Worst::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_worst_position;
+ selection_worst_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ int index=(fitness_values.size()-1) - position_to_return;
+ return fitness_values[index];
+ }
+
+ void Selection_Worst::reset()
+ {
+ selection_worst_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Worst& sel)
+ {
+ os << "Selection of worst ordered individuals.";
+ return os;
+ }
+
+ Selection_Worst::~Selection_Worst()
+ {}
+
+// Operator_Pool ------------------------------------------------------------------------
+
+ Operator_Pool::Operator_Pool(const Problem& pbm)
+ {
+ // introduces all operators and selections in lists
+
+ // Index to be chosen in setup file
+ //-------------------------------------
+ // The Intra_Operators are introduced dimanicly in setup
+
+ _selectors.append(new Selection(pbm.direction())); // 0
+ _selectors.append(new Selection_Tournament(pbm.direction())); // 1
+ _selectors.append(new Selection_Roulette_Wheel(pbm.direction())); // 2
+ _selectors.append(new Selection_Rank(pbm.direction())); // 3
+ _selectors.append(new Selection_Best(pbm.direction())); // 4
+ _selectors.append(new Selection_Worst(pbm.direction())); // 5
+
+ _inter_operators.append(new Migration(pbm.direction())); // 0
+ }
+
+ Intra_Operator& Operator_Pool::intra_operator(const unsigned int index) const
+ {
+ assert(index < _intra_operators.size());
+ return _intra_operators[index];
+ }
+
+ Rlist<Intra_Operator>& Operator_Pool::intra_operators() const
+ {
+ return _intra_operators;
+ }
+
+ Selection& Operator_Pool::selector(const unsigned int index) const
+ {
+ assert(index < _selectors.size());
+ return _selectors[index];
+ }
+
+ const Rlist<Selection>& Operator_Pool::selectors() const
+ {
+ return _selectors;
+ }
+
+ Inter_Operator& Operator_Pool::inter_operator(const unsigned int index) const
+ {
+ assert(index < _inter_operators.size());
+ return _inter_operators[index];
+ }
+
+ const Rlist<Inter_Operator>& Operator_Pool::inter_operators() const
+ {
+ return _inter_operators;
+ }
+
+ Operator_Pool::~Operator_Pool()
+ {}
+
+// Solver (superclasse)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ current_population(pbm,setup),
+ best_cost((-1) * pbm.direction() * infinity()),
+ worst_cost((-1) * best_cost),
+ best_solution(problem),
+ average_cost(0.0),
+ standard_deviation(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_evaluations("_current_evaluations",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_worst_cost("_current_worst_cost",_sc),
+ _current_average_cost("_current_average_cost",_sc),
+ _current_standard_deviation("_current_standard_deviation",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _best_solution_trial("_best_sol_trial",_sc),
+ _best_cost_trial("_best_cost_trial",_sc),
+ _worst_cost_trial("_worst_cost_trial",_sc),
+ _iteration_best_found_in_trial("_iteration_best_found_in_trial",_sc),
+ _evaluations_best_found_in_trial("_evaluations_best_found_in_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found",_sc),
+ _evaluations_best_found("_evaluations_best_found",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _global_worst_cost("_global_worst_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _crossover_probability("_crossover_probability",_sc),
+ _mutation_probability("_mutation_probability",_sc),
+ _migration_rate("_migration_rate",_sc),
+ _migration_size("_migration_size",_sc),
+ _migration_selection_1("_migration_selection_1",_sc),
+ _migration_selection_2("_migration_selection_2",_sc),
+ _migration_selection_conf_1("_migration_selection_conf_1",_sc),
+ _migration_selection_conf_2("_migration_selection_conf_2",_sc),
+ _select_parents("_select_parents",_sc),
+ _select_offsprings("_select_offsprings",_sc),
+ _parameter_select_parents("_parameter_select_parents",_sc),
+ _parameter_select_offsprings("_parameter_select_offsprings",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_evaluations(0);
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ best_solution_trial(best_solution);
+ best_cost_trial(best_cost);
+ worst_cost_trial(worst_cost);
+ iteration_best_found_in_trial(0);
+ evaluations_best_found_in_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ evaluations_best_found(0);
+ global_best_solution(best_solution);
+ global_best_cost(best_cost);
+ global_worst_cost(worst_cost);
+ time_best_found(total_time_spent);
+
+ float prob[MAX_PROB_PER_OP] = {0.0};
+ crossover_probability(prob);
+ mutation_probability(prob);
+
+ char aux[] = "_user_op_probability";
+ char nombre[30];
+ for(int i = 0; i < MAX_OP_USER; i++)
+ {
+ sprintf(nombre,"%s%d",aux,i);
+ _user_op_probability[i].set_name((char *)nombre);
+ _sc.add(_user_op_probability[i]);
+ user_op_probability(i,prob);
+ }
+
+ migration_rate(0);
+ migration_size(0);
+ migration_selection_1(0);
+ migration_selection_2(0);
+ migration_selection_conf_1(0);
+ migration_selection_conf_2(0);
+ select_parents(0);
+ select_offsprings(0);
+ parameter_select_parents(0);
+ parameter_select_offsprings(0);
+ display_state(setup.display_state());
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ void Solver::end_trial(bool et)
+ {
+ _end_trial = et;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _current_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_iteration.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_evaluations() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_evaluations.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _current_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_average_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_average_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_standard_deviation() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_standard_deviation.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::best_solution_trial() const
+ {
+ Solution sol(problem);
+ char data_stored[_best_solution_trial.get_nitems() + _best_solution_trial.get_length()];
+ unsigned long nitems,length;
+ _best_solution_trial.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::best_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _best_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::worst_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _worst_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _global_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::global_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _display_state.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float *Solver::crossover_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_crossover_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::mutation_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_mutation_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::user_op_probability(const int index) const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.get_contents_state_variable(aux,(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ unsigned int Solver::migration_rate() const
+ {
+ unsigned int rate=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&rate,nitems,length);
+ return rate;
+ }
+
+ unsigned int Solver::migration_size() const
+ {
+ unsigned int size=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_size",(char *)&size,nitems,length);
+ return size;
+ }
+
+ unsigned int Solver::migration_selection_1() const
+ {
+ unsigned int selection_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&selection_1,nitems,length);
+ return selection_1;
+ }
+
+ unsigned int Solver::migration_selection_2() const
+ {
+ unsigned int selection_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&selection_2,nitems,length);
+ return selection_2;
+ }
+
+ unsigned int Solver::migration_selection_conf_1() const
+ {
+ unsigned int selection_conf_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,nitems,length);
+ return selection_conf_1;
+ }
+
+ unsigned int Solver::migration_selection_conf_2() const
+ {
+ unsigned int selection_conf_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,nitems,length);
+ return selection_conf_2;
+ }
+
+ unsigned int Solver::select_parents() const
+ {
+ unsigned int select_parents=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&select_parents,nitems,length);
+ return select_parents;
+ }
+
+ unsigned int Solver::select_offprings() const
+ {
+ unsigned int select_offsprings=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&select_offsprings,nitems,length);
+ return select_offsprings;
+ }
+
+ unsigned int Solver::parameter_select_parents() const
+ {
+ unsigned int parameter_select_parents;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_parameter_select_parents",(char *)¶meter_select_parents,nitems,length);
+ return parameter_select_parents;
+ }
+
+ unsigned int Solver::parameter_select_offsprings() const
+ {
+ unsigned int parameter_select_offsprings;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_parameter_select_offsprings",(char *)¶meter_select_offsprings,nitems,length);
+ return parameter_select_offsprings;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _current_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _current_iteration.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_evaluations(const unsigned long value)
+ {
+ _current_evaluations.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _current_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _current_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_worst_cost(const double value)
+ {
+ _current_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_average_cost(const double value)
+ {
+ _current_average_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_standard_deviation(const double value)
+ {
+ _current_standard_deviation.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::best_solution_trial(const Solution& sol)
+ {
+ _best_solution_trial.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::best_cost_trial(const double value)
+ {
+ _best_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::worst_cost_trial(const double value)
+ {
+ _worst_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::iteration_best_found_in_trial(const unsigned int value)
+ {
+ _iteration_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found_in_trial(const unsigned int value)
+ {
+ _evaluations_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found(const unsigned int value)
+ {
+ _evaluations_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _global_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _global_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::global_worst_cost(const double value)
+ {
+ _global_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _display_state.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::crossover_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_crossover_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::mutation_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_mutation_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::user_op_probability(const int index, const float *new_probability)
+ {
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.set_contents_state_variable(aux,(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::migration_rate(const unsigned int rate)
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&rate,1,sizeof(int));
+ }
+
+ void Solver::migration_size(const unsigned int size)
+ {
+ _sc.set_contents_state_variable("_migration_size",(char *)&size,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_1(const unsigned int selection_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&selection_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_2(const unsigned int selection_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&selection_2,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_1(const unsigned int selection_conf_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_2(const unsigned int selection_conf_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,1,sizeof(int));
+ }
+
+ void Solver::select_parents(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::select_offsprings(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::parameter_select_parents(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_parameter_select_parents",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::parameter_select_offsprings(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_parameter_select_offsprings",(char *)&value,1,sizeof(int));
+ }
+
+ Statistics& Solver::statistics()
+ {
+ return _stat;
+ }
+
+ UserStatistics& Solver::userstatistics()
+ {
+ return _userstat;
+ }
+
+ Population& Solver::population()
+ {
+ return current_population;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool worseG=false;
+ bool betterT=false;
+ bool worseT=false;
+
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost > global_worst_cost());
+ betterT = (best_cost < best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost > worst_cost_trial());
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost < global_worst_cost());
+ betterT = (best_cost > best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost < worst_cost_trial());
+ break;
+ }
+
+ if (betterT)
+ {
+ best_solution_trial(best_sol);
+ best_cost_trial(best_cost);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_in_trial(current_iteration());
+ evaluations_best_found_in_trial(current_evaluations());
+ if (betterG)
+ {
+ global_best_solution(best_sol);
+ global_best_cost(best_cost);
+ time_best_found(time_spent_in_trial);
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ evaluations_best_found(current_evaluations());
+ }
+ }
+
+ if (worseT)
+ {
+ worst_cost_trial(worst_cost);
+ if (worseG)
+ global_worst_cost(worst_cost);
+ }
+ }
+
+ StateCenter *Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::RefreshCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).RefreshState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).RefreshState(_sc);
+ params.RefreshState(_sc);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ best_solution=current_best_solution();
+ best_cost=current_best_cost();
+ worst_cost=current_worst_cost();
+ average_cost=current_average_cost();
+ standard_deviation=current_standard_deviation();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).UpdateFromState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).UpdateFromState(_sc);
+ params.UpdateFromState(_sc);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << " Current State ---------------------------------------------" << endl;
+/* cout << endl << "Selection parents -> " << select_parents();
+ cout << endl << "Parameter of selection: " << parameter_select_parents();
+ cout << endl << "Selection offsprings -> " << select_offprings();
+ cout << endl << "Parameter of selection: " << parameter_select_offsprings() << endl;
+ cout << endl << "Crossover_probability: " << crossover_probability();
+ cout << endl << "Mutation_probability: " << mutation_probability();
+ cout << endl << "User_Operator_probability: " << user_op_probability(0);
+ cout << endl << "Migration_rate: " << migration_rate();
+ cout << endl << "Migration_size: " << migration_size();
+ cout << endl << "Migration_selection_1: " << migration_selection_1();
+ cout << endl << "Migration_selection_conf_1: " << migration_selection_conf_1();
+ cout << endl << "Migration_selection_2: " << migration_selection_2();
+ cout << endl << "Migration_selection_conf_2: " << migration_selection_conf_2() << endl;
+*/ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current evaluations: " << current_evaluations();
+ cout << endl << "Current best cost: " << current_best_cost();
+ cout << endl << "Current worst cost: " << current_worst_cost();
+ cout << endl << "Current Average cost: " << current_average_cost();
+ cout << endl << "Current Standard Deviation: " << current_standard_deviation();
+ cout << endl << endl << "Trial: ";
+ cout << endl << "Best cost trial: " << best_cost_trial();
+ cout << endl << "Worst cost trial: " << worst_cost_trial();
+ cout << endl << "Iteration best found in trial: " << iteration_best_found_in_trial();
+ cout << endl << "Evaluations best found in trial: " << evaluations_best_found_in_trial();
+ cout << endl << "Time best found trial: " << time_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << endl << "Global: ";
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Global worst cost: " << global_worst_cost();
+ cout << endl << "Trial best found: " << trial_best_found();
+ cout << endl << "Iteration best found: " << iteration_best_found();
+ cout << endl << "Evaluations best found: " << evaluations_best_found();
+ cout << endl << "Time best found: " << time_best_found();
+// cout << endl << endl << "Best Solution: " << endl << global_best_solution();
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ }
+
+// Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Seq::StartUp(const Population& pop)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ time_best_found_trial(0.0);
+
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ if( (current_iteration() % params.refresh_global_state()) == 0)
+ UpdateFromCfgState();
+
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Seq::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ void Solver_Seq::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ // Solver LAN ------------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Lan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Lan::send_local_state_to(int _mypid) {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_solution_trial()
+ << current_best_solution()
+ << best_cost_trial()
+ << worst_cost_trial()
+ << time_best_found_trial()
+ << current_best_cost()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state() {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_solution_trial
+ >> best_solution
+ >> _best_cost_trial
+ >> _worst_cost_trial
+ >> _time_best_found_in_trial
+ >> best_cost
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_additional_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualizaci�n de las estad�sticas // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Lan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Wan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_cost_trial()
+ << best_solution_trial()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << time_best_found_trial()
+ << worst_cost_trial()
+ << current_best_cost()
+ << current_best_solution()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state()
+ {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_cost_trial
+ >> _best_solution_trial
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ >> _time_best_found_in_trial
+ >> _worst_cost_trial
+ >> best_cost
+ >> best_solution
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_additional_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Update Stats // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Wan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i ;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+
+ }
+ _netstream << barrier;
+ }
+
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.pro.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.pro.o
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.req.cc
new file mode 100644
index 0000000..653d43b
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.req.cc
@@ -0,0 +1,778 @@
+#ifndef INC_REQ_newGA
+#define INC_REQ_newGA
+#include "newGA.hh"
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <sstream>
+#include <algorithm>
+
+skeleton newGA
+{
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0),_limite_barrios(NULL),_tareasEsf(NULL),_tareasIndex(NULL),_empleados(NULL),_cantDias(0),_cantEmpleados(0)
+ {
+ //cout << "uf6";
+ }
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+
+ //Imprimo el arreglo con los limites de barrios
+ os<<"Limites de barrios: "<<endl<<endl;
+ for (int i=0;i<pbm._dimension;i++){
+ os<<i<<": ";
+ int indice=0;
+ while (pbm._limite_barrios[i][indice]!=-1){
+ os<<pbm._limite_barrios[i][indice]<<",";
+ indice++;
+ }
+ os<<endl;
+ }
+ os<<endl;
+ return os;
+ }
+
+
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+
+ char buffer[MAX_BUFFER];
+ int i;
+
+ //is.getline(buffer,MAX_BUFFER,'\n');
+ //sscanf(buffer,"%d",&pbm._dimension);
+
+ //CARGAR DATO CANT Tareas
+ ifstream inFile;
+ inFile.open("datos_cantidad_tareas");
+ if (!inFile)
+ {
+ cerr << "Unable to open file datafile.txt";
+ exit(1); // call system to stop
+ }
+ string x;
+ getline(inFile,x);
+ pbm._dimension = stoi(x);
+ inFile.close();
+
+ //Pido memoria para almacenar los limites de los barrios
+ pbm._limite_barrios=new int *[pbm._dimension];
+ for (int i=0;i<pbm._dimension;i++)
+ {
+ pbm._limite_barrios[i]=new int [10];
+ for (int j=0;j<10;j++)
+ pbm._limite_barrios[i][j]=-1;
+ }
+
+ //CARGAR DATO CANT EMPLEADOS
+ inFile;
+ inFile.open("datos_cantidad_empleados");
+ if (!inFile)
+ {
+ cerr << "Unable to open file datafile.txt";
+ exit(1); // call system to stop
+ }
+ //string x;
+ getline(inFile,x);
+ pbm._cantEmpleados = stoi(x);
+ inFile.close();
+ //INICIALIZAR DATOS TAREAS ESFUERZO
+ pbm._tareasEsf=new int [pbm._dimension];
+ for (int ii=0;ii<pbm._dimension;ii++)
+ {
+ pbm._tareasEsf[ii]=0;
+ }
+
+
+ //CARGAR DATOS TAREAS ESFUERZO
+
+ inFile.open("datos_tareas");
+ if (!inFile)
+ {
+ cerr << "Unable to open file datafile.txt";
+ exit(1); // call system to stop
+ }
+ string line2;
+ getline(inFile,line2);
+ pbm._cantDias = stoi(line2);
+ getline(inFile, line2);
+ getline(inFile, line2);
+
+ int n = line2.length();
+ char char_array[n+1];
+ int len=1;
+ int t=0;
+ int z=0;
+ for(int i=0; i<=line2.length(); i++)
+ {
+ if(line2[i] == ' '|| i==line2.length())
+ {
+ string rr = line2.substr(z,len);
+ pbm._tareasEsf[t] = stoi(rr);
+ //cout << rr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ inFile.close();
+
+
+ pbm._tareasIndex = new int[pbm._dimension];
+ for (int i = 0 ; i != pbm._dimension ; i++)
+ {
+ pbm._tareasIndex[i] = i;
+ }
+ sort(pbm._tareasIndex, pbm._tareasIndex + pbm._dimension,[&](const int& a, const int& b) { return (pbm._tareasEsf[a] < pbm._tareasEsf[b]); });
+ /*
+ for (int i = 0 ; i != pbm._dimension ; i++)
+ {
+ cout << pbm._tareasIndex[i] << " ";
+ }
+ exit(0);
+ */
+
+ //INICIALIZAR EMPLEADOS
+ pbm._empleados=new Empleado [pbm._cantEmpleados];
+ for (int zz=0;zz<pbm._cantEmpleados;zz++)
+ {
+
+ pbm._empleados[zz]._sueldo = 0;
+ pbm._empleados[zz]._habilidad=0;
+ pbm._empleados[zz]._horas=0;
+ }
+
+ //CARGAS DATOS EMPLEADOS
+
+ string line23;
+ inFile.open("datos_empleados");
+ getline(inFile, line23);
+ getline(inFile, line23);
+ int no = line23.length();
+ char_array[n+1];
+ len=1;
+ t=0;
+ z=0;
+ for(int i=0; i<=line23.length(); i++)
+ {
+ if(line23[i] == ' ' || i==line23.length())
+ {
+ string rrr = line23.substr(z,len);
+ pbm._empleados[t]._horas = stoi(rrr);
+ //cout << rr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ cout << pbm._empleados[0]._horas <<" " << pbm._empleados[1]._horas <<" " << pbm._empleados[2]._horas <<" " << pbm._empleados[3]._horas << " " << pbm._empleados[4]._horas << " " << endl;
+
+ getline(inFile, line23);
+ no = line23.length();
+ char_array[n+1];
+ len=1;
+ t=0;
+ z=0;
+ // cout << line23;
+ for(int i=0; i<=line23.length(); i++)
+ {
+ if(line23[i] == ' ' || i==line23.length())
+ {
+ string rrr = line23.substr(z,len);
+ pbm._empleados[t]._habilidad = stof(rrr);
+ //cout << rrr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ cout << pbm._empleados[0]._habilidad <<" " << pbm._empleados[1]._habilidad <<" " << pbm._empleados[2]._habilidad <<" " << pbm._empleados[3]._habilidad << " " << pbm._empleados[4]._habilidad << " " << endl;
+
+ getline(inFile, line23);
+ no = line23.length();
+ char_array[n+1];
+ len=1;
+ t=0;
+ z=0;
+ for(int i=0; i<=line23.length(); i++)
+ {
+ if(line23[i] == ' ' || i==line23.length())
+ {
+ string rrr = line23.substr(z,len);
+ pbm._empleados[t]._sueldo = stoi(rrr);
+ //cout << rr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ cout << pbm._empleados[0]._sueldo <<" " << pbm._empleados[1]._sueldo <<" " << pbm._empleados[2]._sueldo <<" " << pbm._empleados[3]._sueldo << " " << pbm._empleados[4]._sueldo << " " << endl;
+ //assert(false);
+ inFile.close();
+
+ /*
+ //Cargo el archivo con los limites de los barrios
+ FILE* stream = fopen("limite_barrios.csv", "r");
+
+ char line[1024];
+ while (fgets(line, 1024, stream))
+ {
+ char* tmp = strdup(line);
+ const char * barrio = pbm.getfield(tmp,1);
+ int barrio_int=atoi(barrio);
+ tmp = strdup(line);
+ const char * limite= pbm.getfield(tmp,2);
+ int i=0;
+ while (limite!=NULL)
+ {
+ pbm._limite_barrios[barrio_int-1][i]=atoi(limite)-1;
+ i++;
+ tmp = strdup(line);
+ limite=pbm.getfield(tmp,i+2);
+ }
+ free(tmp);
+ }
+ */
+ cout<<pbm;
+ return is;
+ }
+
+ //Funcion para leer el archivo CSV
+ const char* Problem::getfield(char* line, int num)
+ {
+ const char* tok;
+ for (tok = strtok(line, ",");
+ tok && *tok;
+ tok = strtok(NULL, ",\n"))
+ {
+ if (!--num)
+ return tok;
+ }
+ return NULL;
+ }
+
+ int ** Problem::limite_barrios() const{
+ return _limite_barrios;
+ }
+
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ //return maximize;
+ return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+ int Problem::cantEmpleados() const
+ {
+ return _cantEmpleados;
+ }
+ int Problem::cantDias() const
+ {
+ return _cantDias;
+ }
+
+ int * Problem::tareasEsf() const
+ {
+ return _tareasEsf;
+ }
+
+ int * Problem::tareasIndex() const
+ {
+ return _tareasIndex;
+ }
+
+ Empleado *Problem::empleados() const
+ {
+ return _empleados;
+ }
+
+ Problem::~Problem()
+ {
+ //Libero la memoria pedida para almacenar los limites de los barrios
+ for (int i=0;i<_dimension;i++)
+ delete [] _limite_barrios[i];
+ delete [] _limite_barrios;
+ delete [] _empleados;
+ delete [] _tareasEsf;
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+
+ //for (int i=0;i<sol.pbm().dimension();i++)
+ // os << " " << sol._var[i];
+ stringstream ss;
+
+ ofstream outfile("solution");
+
+ os << endl;
+
+ for (int j = 0; j < sol.pbm().cantEmpleados(); j++)
+ {
+ bool found1 = false;
+ for (int i = 0; i < sol.pbm().dimension(); i++)
+ {
+ if (sol._var[i] == j)
+ {
+ if (!found1)
+ {
+ ss << "e" << j + 1;
+ found1 = true;
+ }
+
+ ss << " t" << sol.pbm().tareasIndex()[i] + 1;
+ }
+ }
+
+ if (found1)
+ {
+ ss << endl;
+ }
+ }
+
+ outfile << ss.str();
+ outfile.close();
+
+ os << ss.str();
+
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ for(int i = 0; i < _var.size(); i++)
+ if(_var[i] != sol._var[i]) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ //cout << _pbm.dimension();
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=rand_int(0,_pbm.cantEmpleados() - 1);
+ //_var[i]=rand_int(0,3);
+ }
+ }
+
+ double Solution::fitness ()
+ {
+
+ double fitness = 0.0;
+ double* horasTrabajados = new double[_pbm.cantEmpleados()];
+ for (int q=0; q < _pbm.cantEmpleados(); q++)
+ {
+ horasTrabajados[q] = 0;
+ }
+
+ for (int i=0;i< _pbm.dimension();i++)
+ {
+ Empleado tipo = _pbm.empleados()[_var[i]];
+ double horasReq = ((double)_pbm.tareasEsf()[_pbm.tareasIndex()[i]]/(double)(0.5+tipo._habilidad));
+ horasTrabajados[_var[i]] += horasReq;
+
+ }
+
+
+ for (int j = 0; j < _pbm.cantEmpleados(); j++)
+ {
+ double diasTrabajadosTemp = (double)horasTrabajados[j] / (double)_pbm.empleados()[j]._horas;
+ fitness += (double)diasTrabajadosTemp * (double)_pbm.empleados()[j]._sueldo;
+ if (isnan(fitness))
+ exit(0);
+ if (diasTrabajadosTemp > _pbm.cantDias())
+ {
+ fitness += 100000;
+ }
+ }
+
+ return fitness;
+
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+ // UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].worst_cost_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_iteration_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if( (solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().nb_evolution_steps())
+ && !terminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial = solver.evaluations_best_found_in_trial();
+ new_stat->nb_iteration_best_found_trial = solver.iteration_best_found_in_trial();
+ new_stat->worst_cost_trial = solver.worst_cost_trial();
+ new_stat->best_cost_trial = solver.best_cost_trial();
+ new_stat->time_best_found_trial = solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// Intra_operator --------------------------------------------------------------
+
+ Intra_Operator::Intra_Operator(const unsigned int _number_op):_number_operator(_number_op),probability(NULL)
+ {}
+
+ unsigned int Intra_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ Intra_Operator *Intra_Operator::create(const unsigned int _number_op)
+ {
+ switch (_number_op)
+ {
+ case 0: return new Crossover;break;
+ case 1: return new Mutation();break;
+ }
+ }
+
+ ostream& operator<< (ostream& os, const Intra_Operator& intra)
+ {
+ switch (intra.number_operator())
+ {
+ case 0: os << (Crossover&)intra;break;
+ case 1: os << (Mutation&)intra;break;
+ }
+ return os;
+ }
+
+ Intra_Operator::~Intra_Operator()
+ {}
+
+// Crossover:Intra_operator -------------------------------------------------------------
+
+ Crossover::Crossover():Intra_Operator(0)
+ {
+ probability = new float[1];
+ }
+
+ void Crossover::cross(Solution& sol1,Solution& sol2) const // dadas dos soluciones de la poblacion, las cruza
+ {
+ //Usamos cruzamiento de dos puntos (2PX)
+ int i=0;
+ Rarray<int> aux(sol1.pbm().dimension());
+ aux=sol2.array_var();
+
+ /*
+ if (current_time_spent() < 1000000)
+ {
+ int limit=rand_int((0,sol1.pbm().dimension()-1));
+
+ for (i=0;i<limit;i++)
+ sol2.var(i)=sol1.var(i);
+ for (i=0;i<limit;i++)
+ sol1.var(i)=aux[i];
+ }
+ if (current_time_spent() >= 1000000)
+ {*/
+ int limit=rand_int((sol1.pbm().dimension()/2)+1,sol1.pbm().dimension()-1);
+ int limit2=rand_int(0,limit-1);
+
+ for (i=0;i<limit2;i++)
+ sol2.var(i)=sol1.var(i);
+ for (i=0;i<limit2;i++)
+ sol1.var(i)=aux[i];
+ for (i=limit;i<sol1.pbm().dimension();i++)
+ sol2.var(i)=sol1.var(i);
+ for (i=limit;i<sol1.pbm().dimension();i++)
+ sol1.var(i)=aux[i];
+ //}
+ }
+
+ void Crossover::execute(Rarray<Solution*>& sols) const
+ {
+ for (int i=0;i+1<sols.size();i=i+2)
+ if (rand01()<=probability[0]) cross(*sols[i],*sols[i+1]);
+ }
+
+ ostream& operator<< (ostream& os, const Crossover& cross)
+ {
+ os << "Crossover." << " Probability: "
+ << cross.probability[0]
+ << endl;
+ return os;
+ }
+
+ void Crossover::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_crossover_probability",(char *)probability,1,sizeof(float));
+ }
+
+ void Crossover::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_crossover_probability",(char *)probability,nbytes,length);
+ }
+
+ void Crossover::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d %f ",&op,&probability[0]);
+ assert(probability[0]>=0);
+ }
+
+ Crossover::~Crossover()
+ {
+ delete [] probability;
+ }
+
+ // Mutation: Sub_operator -------------------------------------------------------------
+
+ Mutation::Mutation():Intra_Operator(1)
+ {
+ probability = new float[2];
+ }
+
+ void Mutation::mutate(Solution& sol) const
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ {
+ if (rand01()<=probability[1])
+ {
+ //La mutacion modifica un gen aleatoriamente con probabilidad uniforme en {0,3}
+ int temp = rand_int(0,sol.pbm().cantEmpleados() - 1);
+ sol.var(i)= temp;
+ //sol.var(i)=rand_int(0,3);
+ }
+ }
+ }
+
+ void Mutation::execute(Rarray<Solution*>& sols) const
+ {
+ for (int i=0;i<sols.size();i++)
+ if(rand01() <= probability[0]) mutate(*sols[i]);
+ }
+
+ ostream& operator<< (ostream& os, const Mutation& mutation)
+ {
+ os << "Mutation." << " Probability: " << mutation.probability[0]
+ << " Probability1: " << mutation.probability[1]
+ << endl;
+ return os;
+ }
+
+ void Mutation::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d %f %f ",&op,&probability[0],&probability[1]);
+ assert(probability[0]>=0);
+ assert(probability[1]>=0);
+ }
+
+ void Mutation::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_mutation_probability",(char *)probability,2,sizeof(probability));
+ }
+
+ void Mutation::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_mutation_probability",(char *)probability,nbytes,length);
+ }
+
+ Mutation::~Mutation()
+ {
+ delete [] probability;
+ }
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ bool fin=(int) (solver.current_time_spent() - solver.time_best_found_trial()) > 20000000;
+ //Condicion de parada. Si el fitness es 0 terminamos la ejecucion.
+ //bool fin=(int)solver.best_cost_trial() == 0;
+ //cout << pbm.cantEmpleados();
+ /*if (fin){
+ //Escribo el resultado en el archivo de salida
+ FILE * pFile;
+ pFile = fopen ("asignacion_colores.csv","w");
+ for (int i=0;i<pbm.dimension();i++){
+ fprintf (pFile, "%d,%d\n",i+1,solver.best_solution_trial().var(i));
+ }
+ fclose (pFile);
+ }*/
+ //return (fin);
+ return fin;
+
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool terminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+ StopCondition_1 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+#endif
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.req.o b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGA.req.o
new file mode 100644
index 0000000000000000000000000000000000000000..b38ae8dbb12876fd40eff199783aea8c7db92186
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zaYUZ!bQ+(b(xVy@!a|k4TCGp%NG-p<E=BrO<=_3Tq_|J5gHrj&<EPW>^3#|WERw=P
z8tfy?wME+Hr)#_Hlx}wo{l$Gm8nhr3;TOWso<A)s+Ohy*7zf+L!8pn0fbIGJA5;!C
AX#fBK
literal 0
HcmV?d00001
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGAstructures.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGAstructures.hh
new file mode 100644
index 0000000..d542639
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/newGAstructures.hh
@@ -0,0 +1,60 @@
+#ifndef INC_newGA_mallba_hh
+#define INC_newGA_mallba_hh
+
+
+#include <iostream>
+#include <fstream>
+#include <math.h>
+#include <limits.h>
+#include <float.h>
+#include <Rlist.h>
+#include <Rarray.h>
+#include <Messages.h>
+#include <mallba.hh>
+#include <States.hh>
+#include <random.hh>
+#include <time.hh>
+#include <netstream.hh>
+#include <assert.h>
+
+using namespace std;
+
+#ifndef _INDIVIDUAL_
+#define _INDIVIDUAL_
+
+struct individual // index of a individual in the population and its fitness
+{
+ int index;
+ double fitness;
+ double sel_parameter;
+ bool change;
+};
+struct Empleado // index of a individual in the population and its fitness
+{
+ int _horas;
+ float _habilidad;
+ double _sueldo;
+};
+
+
+/*int lessF(const struct individual &i1,const struct individual &i2)
+{
+ return i1.fitness < i2.fitness;
+}
+
+int lessS(const struct individual &i1,const struct individual &i2)
+{
+ return i1.sel_parameter < i2.sel_parameter;
+}
+
+int greaterF(const struct individual &i1,const struct individual &i2)
+{
+ return i1.fitness > i2.fitness;
+}
+
+int greaterS(const struct individual &i1,const struct individual &i2)
+{
+ return i1.sel_parameter > i2.sel_parameter;
+}*/
+#endif
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_cantidad_empleados b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_cantidad_empleados
new file mode 100644
index 0000000..7813681
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_cantidad_empleados
@@ -0,0 +1 @@
+5
\ No newline at end of file
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_cantidad_tareas b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_cantidad_tareas
new file mode 100644
index 0000000..301160a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_cantidad_tareas
@@ -0,0 +1 @@
+8
\ No newline at end of file
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_empleados b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_empleados
new file mode 100644
index 0000000..f7cc5e5
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_empleados
@@ -0,0 +1,4 @@
+e1 e2 e3 e4 e5
+4 5 5 3 3
+0.05 0.20 0.30 0.95 0.50
+120 200 210 230 180
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_tareas b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_tareas
new file mode 100644
index 0000000..589272f
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/datos_tareas
@@ -0,0 +1,3 @@
+20
+t1 t2 t3 t4 t5 t6 t7 t8
+16 28 11 51 2 23 43 15
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/empty.txt b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/empty.txt
new file mode 100644
index 0000000..e69de29
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/sol.txt b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/sol.txt
new file mode 100644
index 0000000..94d8af3
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/res/sol.txt
@@ -0,0 +1,16 @@
+
+---------------------------------------------------------------
+ STATISTICS OF TRIALS
+------------------------------------------------------------------
+
+1 10029.7 210883 1060 10 1591 14184
+2 10010.4 210882 5560 55 6233 12361
+3 10010.4 210656 4160 41 8672 14731
+4 10009.9 210921 160 1 106 9399
+5 10010.4 210807 4660 46 4349 9349
+6 10010.4 210921 760 7 657 9224
+7 10016.5 210990 3060 30 5449 11825
+8 10015.4 210452 4960 49 5341 10215
+9 10035.1 210876 5960 59 5591 9491
+10 10017.7 210873 360 3 295 9422
+------------------------------------------------------------------
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/solution b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/solution
new file mode 100644
index 0000000..534d0b7
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/solution
@@ -0,0 +1,3 @@
+e1 t3 t1
+e3 t5 t6 t4
+e4 t8 t2 t7
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/verificador.py b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/verificador.py
new file mode 100644
index 0000000..0924a32
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/GA/verificador.py
@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import sys
+import random
+import math
+
+try:
+ #Sanity check
+ if (len(sys.argv)<4):
+ print "Ejecutar con la siguiente linea: ./validador <ruta_tareas> <ruta_empleados> <ruta_solucion>"
+ sys.exit(1)
+
+ ruta_tareas=sys.argv[1]
+ ruta_empleados=sys.argv[2]
+ ruta_solucion=sys.argv[3]
+ habilidad_empleados=[]
+ sueldo_diario_empleado=[]
+ dedicacion_diaria_diponible_empleado=[]
+ esfuerzo_requerido_tarea=[]
+ nombres_tareas=[]
+ nombre_empleados=[]
+ costo_proyecto=0
+ tiempo_solucion_proyecto=0
+
+ # se sabe que son 3 lineas
+ archivo_tareas=open(ruta_tareas)
+ lineasTareas=archivo_tareas.readlines()
+ deadLine=lineasTareas[0]
+ nombres_tareas=lineasTareas[1].strip().split(" ")
+ esfuerzo_requerido_tarea=lineasTareas[2].strip().split(" ")
+
+ # se sabe que son 4 lineas
+ archivo_empleados=open(ruta_empleados)
+ lineasEmpleados=archivo_empleados.readlines()
+ nombre_empleados=lineasEmpleados[0].strip().split(" ")
+ dedicacion_diaria_diponible_empleado=lineasEmpleados[1].strip().split(" ")
+ habilidad_empleados=lineasEmpleados[2].strip().split(" ")
+ sueldo_diario_empleado=lineasEmpleados[3].strip().split(" ")
+
+ # se convierten a entero
+ dedicacion_diaria_diponible_empleado = map(int, dedicacion_diaria_diponible_empleado)
+ sueldo_diario_empleado = map(int, sueldo_diario_empleado)
+ deadLine=int(deadLine)
+ esfuerzo_requerido_tarea = map(int, esfuerzo_requerido_tarea)
+
+ # se convierte a float
+ habilidad_empleados = map(float, habilidad_empleados)
+
+ # se levanta la solucion del archivo
+ matriz_solucion=[]
+
+ archivo_solucion=open(ruta_solucion)
+
+ solucion_empleados_tareas=[]
+ solucion_empleados=[]
+ solucion_tareas=[]
+
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ if( not (empleados_tareas[0] in nombre_empleados)):
+ print "No existe en la instancia el empleado: " + empleados_tareas[0]
+ sys.exit(1)
+ solucion_empleados.append(empleados_tareas[0])
+ for i in range(1,len(empleados_tareas)):
+ if( not (empleados_tareas[i] in nombres_tareas)):
+ print "No existe en la instancia la terea: " + empleados_tareas[i]
+ sys.exit(1)
+ solucion_tareas.append(empleados_tareas[i])
+
+
+ for i in range(0,len(solucion_empleados)):
+ for j in range(i+1,len(solucion_empleados)):
+ if(solucion_empleados[i]==solucion_empleados[j]):
+ print "Empleado repetido: " + solucion_empleados[i]
+ sys.exit(1)
+
+ for i in range(0,len(solucion_tareas)):
+ for j in range(i+1,len(solucion_tareas)):
+ if(solucion_tareas[i]==solucion_tareas[j]):
+ print "Tarea asignada más de una vez: " + solucion_tareas[i]
+ sys.exit(1)
+
+
+ # todas las tareas asignadas
+ if(len(solucion_tareas)!=len(nombres_tareas)):
+ print "La cantidad de tareas asignadas es distinta a la cantidad de tareas de la instancia."
+ sys.exit(1)
+
+ for i in range(0,len(nombres_tareas)):
+ if( not (nombres_tareas[i] in solucion_tareas)):
+ print "Tarea no asignada " + nombres_tareas[i]
+ sys.exit(1)
+
+ costo_total=0
+ archivo_solucion=open(ruta_solucion)
+ maximo_tiempo=0
+ tiempo_en_dias=0
+ # se hacen los calculos con la informacion en los archivos
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ indice_empleado = nombre_empleados.index(empleados_tareas[0])
+ tiempo_en_horas=0
+ for i in range(1,len(empleados_tareas)):
+ indice_tarea = nombres_tareas.index(empleados_tareas[i])
+ tiempo_en_horas=tiempo_en_horas+(esfuerzo_requerido_tarea[indice_tarea] / (0.5 + habilidad_empleados[indice_empleado]))
+ tiempo_en_dias= int(math.ceil(tiempo_en_horas/dedicacion_diaria_diponible_empleado[indice_empleado]))
+ costo_total=costo_total+sueldo_diario_empleado[indice_empleado]*tiempo_en_dias
+ if(tiempo_en_dias>maximo_tiempo):
+ maximo_tiempo=tiempo_en_dias
+
+ if(maximo_tiempo<=deadLine):
+ # todo OK!
+ print costo_total,maximo_tiempo
+ else:
+ print "No cumple con el tiempo máximo de finalización ({0} > {1}).".format(maximo_tiempo, deadLine)
+ sys.exit(1)
+
+except IOError as error:
+ print error
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/Makefile
new file mode 100644
index 0000000..2b7ed15
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/Makefile
@@ -0,0 +1,6 @@
+all:
+ (cd CHC ; make)
+ (cd GA ; make)
+clean:
+ (cd CHC ; make clean)
+ (cd GA ; make clean)
\ No newline at end of file
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/Config.cfg
new file mode 100644
index 0000000..c515435
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+Instance Problem Path
+Result File Path
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainWan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainWan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/MainWan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/Makefile
new file mode 100644
index 0000000..43b74fa
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan MainWan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/instance.txt res/res.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.cfg
new file mode 100644
index 0000000..290f7e9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.cfg
@@ -0,0 +1,9 @@
+ // number of independent runs
+ // number of evaluations
+ // Markov-Chain Length (temperature is updated in every number of evaluations)
+ // temperature Decay
+ // display state ?
+LAN-configuration
+ // the global state is updated in this number of evaluations
+ // 0: asynchronized mode // 1: synchronized mode
+ // interval of iterations to cooperate (if 0 no cooperation)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.hh
new file mode 100644
index 0000000..9c7901a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.hh
@@ -0,0 +1,478 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ private:
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.req.cc
new file mode 100644
index 0000000..6532801
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/SA.req.cc
@@ -0,0 +1,222 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+
+// Problem ---------------------------------------------------------------
+ Problem::Problem ()
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ //return maximize;
+ return minimize;
+ }
+
+ Problem::~Problem()
+ {}
+
+// Solution --------------------------------------------------------------
+ Solution::Solution (const Problem& pbm):_pbm(pbm)
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {}
+
+ double Solution::fitness () const
+ {
+ return 0.0;
+ }
+
+ char *Solution::to_String() const
+ {
+ return NULL;
+ }
+
+ void Solution::to_Solution(char *_routes_)
+ {}
+
+ unsigned int Solution::size() const
+ {
+ return 0;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ // Body of operator
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_1 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/StopCondition.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/StopCondition.cc
new file mode 100644
index 0000000..79e3342
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((solver.current_trial()==setup.independent_runs()) && (solver.current_iteration()==setup.max_evaluations()));
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/StopCondition.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AdjKeys.cpp b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AdjKeys.cpp
new file mode 100644
index 0000000..64d179a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AdjKeys.cpp
@@ -0,0 +1,286 @@
+/***********************************************************************
+ * File: AdjKeys.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file AdjKeys.h.
+ ***********************************************************************/
+
+#include "AdjKeys.h"
+
+/*********************************************
+ * Purpose: allocate memory and initialization
+ *********************************************/
+
+AdjKeys::AdjKeys(int * parent1, int * parent2, int nbOfFrag):nof(nbOfFrag)
+{
+ offSpring = new int[nof];
+ share = new bool[nof];
+ remaining = new int[nof];
+
+ aKeys = new int *[nof];
+ for(int i = 0; i < nof; i++)
+ {
+ aKeys[i] = new int[4]; // [0] and [1] for parent1; [2] and [3] for parent2
+ for(int j = 0; j < 4; j++)
+ aKeys[i][j] = -1; // initialize to -1
+ }
+
+ for(int k = 0; k < nof; k++)
+ {
+ offSpring[k] = -1;
+ share[k] = false;
+ remaining[k] = 0;
+ }
+ startKey = parent1[0]; // start key point to the first fragment of parent1
+ makeAdjKeysTable(parent1, parent2);
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+AdjKeys::~AdjKeys()
+{
+ for(int i = 0; i < nof; i++)
+ delete [] aKeys[i];
+
+ delete [] aKeys;
+ delete [] remaining;
+ delete [] share;
+ delete [] offSpring;
+}
+
+/****************************************************
+ * Purpose: create an adjacency table for two parents
+ ****************************************************/
+
+void AdjKeys::makeAdjKeysTable(int * parent1, int * parent2)
+{
+ initAdjacentcy(parent1, 1);
+ initAdjacentcy(parent2, 2);
+
+ setSharing();
+// printInfo();
+}
+
+/*******************************************
+ * Purpose: initialize a parent's adjacency
+ *******************************************/
+
+void AdjKeys::initAdjacentcy(int * parent, int pid)
+{
+ int indStart;
+ if(pid == 1)
+ indStart = 0; // because aKeys[][0] and aKeys[][1] for parent1
+ else
+ indStart = 2; // because aKeys[][2] and aKeys[][3] for parent2
+
+ int m = 0;
+ for(int i = 0; i < nof; i++)
+ {
+ int key = parent[m];
+
+ if(m == 0) // deal with the first fragment
+ {
+ aKeys[key][indStart] = parent[m+1];
+ incrementRemaining(key);
+ }
+ else if(m == nof-1) // deal with the last fragment
+ {
+ aKeys[key][indStart] = parent[m-1];
+ incrementRemaining(key);
+ }
+ else // deal with the middle fragments
+ {
+ aKeys[key][indStart] = parent[m-1];
+ incrementRemaining(key);
+ aKeys[key][indStart+1] = parent[m+1];
+ incrementRemaining(key);
+ }
+ m++;
+ }
+}
+
+/***********************************************
+ * Purpose: return number of remaining fragments
+ ***********************************************/
+
+int AdjKeys::getRemaining(int id)
+{
+ return remaining[id];
+}
+
+/**************************************************
+ * Purpose: decrement number of remaining fragments
+ **************************************************/
+
+void AdjKeys::decrementRemaining(int id)
+{
+ remaining[id]--;
+}
+
+/**************************************************
+ * Purpose: increment number of remaining fragments
+ **************************************************/
+
+void AdjKeys::incrementRemaining(int id)
+{
+ remaining[id]++;
+}
+
+/****************************************************
+ * Purpose: set the share to be true if the fragments
+ * are ajdacent to both parents.
+ ****************************************************/
+
+void AdjKeys::setSharing()
+{
+ for(int i = 0; i < nof; i++)
+ {
+ if(aKeys[i][0] == aKeys[i][2] || aKeys[i][0] == aKeys[i][3])
+ {
+ share[i] = true;
+ remaining[i]--;
+ }
+ if(aKeys[i][1] != -1)
+ {
+ if(aKeys[i][1] == aKeys[i][2] || aKeys[i][1] == aKeys[i][3])
+ {
+ share[i] = true;
+ remaining[i]--;
+ }
+ }
+ }
+}
+
+/************************************
+ * Purpose: check the sharing status
+ ************************************/
+
+bool AdjKeys::hasSharing(int id)
+{
+ return share[id];
+}
+
+/*****************************************************
+ * Purpose: print the detail information in this class
+ *****************************************************/
+
+void AdjKeys::printInfo()
+{
+ for(int i = 0; i < nof; i++)
+ {
+ cout << aKeys[i][0] << ", " << aKeys[i][1] << ", "
+ << aKeys[i][2] << ", " << aKeys[i][3] << "\t";
+
+ cout << "sharing = " << share[i] << ", " << " remain = " << remaining[i] << endl;
+ }
+}
+
+/*****************************************************************
+ * Purpose: reset the adjacent key to be -1 if it is already taken
+ *****************************************************************/
+
+void AdjKeys::deleteTakenKey(int takenKey)
+{
+ int p, q;
+ for(p = 0; p < nof; p++)
+ {
+ if(takenKey != p)
+ {
+ bool exist = false;
+ for(q = 0; q < 4; q++)
+ {
+ if(aKeys[p][q] != -1 && aKeys[p][q] == takenKey)
+ {
+ aKeys[p][q] = -1;
+ exist = true;
+ }
+ }
+ if(exist)
+ decrementRemaining(p);
+ }
+ }
+}
+
+/***********************************************************
+ * Purpose: performs the actual edge-recombination operation
+ ***********************************************************/
+
+void AdjKeys::recombine()
+{
+ int currKey = startKey;
+ offSpring[0] = currKey;
+ deleteTakenKey(currKey);
+
+ int i;
+ // produce offspring based on adjacent keys
+
+ for(i = 1; i < nof; i++)
+ {
+ int flag = false;
+ int tempKeys[4] = {-1, -1, -1, -1};
+ int w = 0;
+ for(int j = 0; j < 4; j++)
+ {
+ int t = aKeys[currKey][j];
+ if(t != -1 && hasSharing(t))
+ {
+ currKey = t;
+ flag = true;
+ break;
+ }
+ else
+ {
+ if(t != -1)
+ tempKeys[w++] = t;
+ continue;
+ }
+ }
+ if(!flag)
+ {
+ if(w != 0)
+ {
+ int tk = tempKeys[0];
+ int moreAdjLeft = getRemaining(tk);
+ currKey = tk;
+ for(int v = 1; v < w; v++)
+ {
+ tk = tempKeys[v];
+ int adjLeft = getRemaining(tk);
+ if(adjLeft > moreAdjLeft)
+ {
+ moreAdjLeft = adjLeft;
+ currKey = tk;
+ }
+ }
+ }
+ else
+ break;
+ }
+ offSpring[i] = currKey;
+ deleteTakenKey(currKey);
+ }
+
+ if(i < nof) // handle special case
+ {
+ for(int x = 0; x < nof; x++)
+ {
+ if(getRemaining(x) != 0)
+ {
+ for(int y = 0; y < 4; y++)
+ {
+ if(aKeys[x][y] != -1)
+ {
+ offSpring[i++] = aKeys[x][y];
+ deleteTakenKey(aKeys[x][y]);
+ }
+ }
+ }
+ }
+ }
+}
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AdjKeys.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AdjKeys.h
new file mode 100644
index 0000000..cf440b2
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AdjKeys.h
@@ -0,0 +1,45 @@
+/*********************************************************************
+ * File: AdjKeys.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: AdjKeys class is a helper class for Edge-recombination
+ * crossover operator
+ *********************************************************************/
+
+#ifndef ADJKEYS_H
+#define ADJKEYS_H
+
+#include <iostream>
+#include <string>
+
+using namespace std;
+
+class AdjKeys
+{
+public:
+ int startKey;
+ int * offSpring; // store offspring generate by crossover operator
+
+ AdjKeys(int * parent1, int * parent2, int nbOfFrag);
+ ~AdjKeys();
+ void makeAdjKeysTable(int * parent1, int * parent2);
+ void initAdjacentcy(int * parent, int pid);
+ void recombine();
+ void deleteTakenKey(int takenKey);
+ int getRemaining(int id);
+ void setSharing();
+ bool hasSharing(int id);
+ void decrementRemaining(int id);
+ void incrementRemaining(int id);
+ void printInfo();
+private:
+ int ** aKeys; // store adjacent keys for both parents
+ bool * share; // store sharing info for both parents
+ int * remaining; // store remaining fragments
+ int nof;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AlignedPair.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AlignedPair.h
new file mode 100644
index 0000000..a5d0872
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/AlignedPair.h
@@ -0,0 +1,39 @@
+/*********************************************************************
+ * File: AlignedPair.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: AlignedPair class is a helper class that wraps an
+ * alignment of two sequences
+ *********************************************************************/
+
+#ifndef ALIGNEDPAIR_H
+#define ALIGNEDPAIR_H
+
+#include <iostream>
+#include <string>
+
+using namespace std;
+
+class AlignedPair
+{
+public:
+ string s; // to store sequence s after alignment
+ string t; // to store sequence t after alignment
+
+ AlignedPair() {}
+ AlignedPair(const string &s, const string &t)
+ {
+ this->s = s;
+ this->t = t;
+ }
+
+ void printAlign()
+ {
+ cout << s << "\n" << t << endl << endl;
+ }
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Config.cfg
new file mode 100644
index 0000000..8175e18
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/DNAFA-instances/pbm.txt
+res/dna.sa.lan.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ConsensusBuilder.cpp b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ConsensusBuilder.cpp
new file mode 100644
index 0000000..ad8879e
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ConsensusBuilder.cpp
@@ -0,0 +1,286 @@
+/***********************************************************************
+ * File: ConsensusBuilder.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file ConsensusBuilder.h.
+ ***********************************************************************/
+
+#include "ConsensusBuilder.h"
+
+int Global_cutoff;
+
+/*****************************************************
+ * Purpose: build the initial consensuses from contigs
+ *****************************************************/
+
+ConsensusBuilder::ConsensusBuilder(vector<string> &SACons)
+{
+ consensus = SACons;
+ scpList = new List1<SubConsensusPair>();
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+ConsensusBuilder::~ConsensusBuilder()
+{
+ delete scpList;
+}
+
+/**********************************************
+ * Purpose: postprocess four types of consensus
+ **********************************************/
+
+void ConsensusBuilder::buildConsensus()
+{
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case FF" << endl;
+/**/ cerr << "case FF" << endl;
+ buildSubConsensus(FF); // both from forward strand
+/**/ cerr << "End case FF" << endl;
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case FR" << endl;
+/**/ cerr << "case FR" << endl;
+ buildSubConsensus(FR); // first from forward, second from reverse complement
+/**/ cerr << "End case FR" << endl;
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case RF" << endl;
+/**/ cerr << "case RF" << endl;
+ buildSubConsensus(RF); // first from reverse complement, second from forward
+/**/ cerr << "End case RF" << endl;
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case RR" << endl;;
+/**/ cerr << "case RR" << endl;
+ buildSubConsensus(RR); // both from reverse complement
+/**/ cerr << "End case RR" << endl;
+ }
+ }
+ }
+ }
+}
+
+/**********************************************
+ * Purpose: initialize four types of consensus
+ **********************************************/
+
+void ConsensusBuilder::initST(int type)
+{
+ vector<string> rc;
+ for(int k = 0; k < consensus.size(); k++)
+ rc.push_back(Util::rcSequence(consensus[k]));
+
+ s.clear();
+ t.clear();
+ switch(type)
+ {
+ case FF:
+ s = t = consensus;
+ break;
+ case FR:
+ s = consensus;
+ t = rc;
+ break;
+ case RF:
+ s = rc;
+ t = consensus;
+ break;
+ case RR:
+ s = t = rc;
+ break;
+ }
+}
+
+/********************************************************
+ * Purpose: detects the overlap for all possible pair of
+ * consensus and stores the overlap score in a
+ * sorted linked list in descending order.
+ ********************************************************/
+
+void ConsensusBuilder::buildSubConsensus(int type)
+{
+// cout << "\nCurrent consensus (" << type << ")" << endl;
+ //print();
+ initST(type);
+
+ for(int i = 0; i < s.size(); i++)
+ {
+ for(int j = i+1; j < s.size(); j++) // compute half of pairs only
+ {
+ SGA *sga = new SGA(s[i], t[j]); // eg. w1 and w2
+/**/ cerr << "Building Matrix " << i << " " << j << endl;
+ sga->buildMatrix();
+ sga->findBestScore();
+ int score = sga->getBestScore();
+ delete sga;
+/**/ cerr << "End Building Matrix " << i << " " << j << endl;
+
+ if(score >= Global_cutoff)
+ {
+ scpList->insert(SubConsensusPair(i, j, score));
+ scpList->insert(SubConsensusPair(j, i, score));
+ }
+ }
+ }
+// scpList->printList();
+/**/ cerr << "Updating Consensus" << endl;
+ updateConsensus(type);
+/**/ cerr << "End Updating Consensus" << endl;
+}
+
+/************************************************************
+ * Purpose: update consensus information by aligning possible
+ * overlapping consensuses.
+ ************************************************************/
+
+void ConsensusBuilder::updateConsensus(int type)
+{
+ vector<string> tempLayout;
+ vector<string> tepCon = consensus;
+ consensus.clear();
+
+ ListNode<SubConsensusPair>* tempNode = scpList->header->next;
+
+ while(tempNode != NULL)
+ {
+ int cid1 = tempNode->data.cid1;
+ int cid2 = tempNode->data.cid2;
+ char direction = 'F'; // forward
+
+ tempLayout.push_back(s[cid1]);
+ tempLayout.push_back(t[cid2]);
+ if(type == FR)
+ direction = 'R'; // reverse complement
+
+ tepCon.at(cid1) = "";
+ tepCon.at(cid2) = "";
+ remove(scpList, cid1);
+ bool found = true;
+ while(found)
+ {
+ ListNode<SubConsensusPair>* nextNode = search(scpList, cid2);
+ if(nextNode == NULL)
+ found = false;
+ else
+ {
+ cid1 = cid2;
+ cid2 = nextNode->data.cid2;
+
+ if(type == FR && direction == 'R')
+ {
+ tempLayout.push_back(s[cid2]); // s[cid2] = Util::rcSequence(t[cid2])
+ direction = 'F';
+ }
+ else if (type == FR && direction == 'F')
+ {
+ tempLayout.push_back(t[cid2]);
+ direction = 'R';
+ }
+ else if (type == RF && direction == 'F')
+ {
+ tempLayout.push_back(s[cid2]);
+ direction = 'R';
+ }
+ else
+ {
+ tempLayout.push_back(t[cid2]);
+ direction = 'F';
+ }
+
+ tepCon.at(cid2) = "";
+ remove(scpList, cid1);
+ }
+ }
+
+ if(tempLayout.size() > 1)
+ {
+ LayoutBuilder layoutBuilder(tempLayout);
+ layoutBuilder.findAlignments();
+ // layoutBuilder.printAlignments();
+ layoutBuilder.buildLayout();
+// cout << endl << "Merging =>"<< endl << endl;
+ layoutBuilder.printLayout();
+ layoutBuilder.findConsensus();
+ layoutBuilder.printConsensus();
+ consensus.push_back(layoutBuilder.getConsensus());
+ }
+ else
+ consensus.push_back(tempLayout.at(0));
+
+ tempLayout.clear();
+ tempNode = scpList->header->next;
+ }
+
+ for(int m = 0; m < tepCon.size(); m++)
+ {
+ if(tepCon.at(m) != "")
+ consensus.push_back(tepCon.at(m));
+ }
+}
+
+/************************************************************
+ * Purpose: removes SubConsensusPair objects that contain the
+ * given id from the linked list.
+ ************************************************************/
+
+void ConsensusBuilder::remove(List1<SubConsensusPair>* list, int cid)
+{
+ List1<SubConsensusPair>* temp = list;
+ ListNode<SubConsensusPair>* tempCurr = temp->header->next;
+ ListNode<SubConsensusPair>* tempPrev = temp->header;
+
+ while(tempCurr != NULL)
+ {
+ if(tempCurr->data.cid1 == cid || tempCurr->data.cid2 == cid )
+ {
+ ListNode<SubConsensusPair>* oldNode = tempCurr;
+ tempPrev->next = tempCurr->next;
+ tempCurr = tempCurr->next;
+ delete oldNode;
+ (temp->len)--;
+ }
+ else
+ {
+ tempPrev = tempCurr;
+ if(tempCurr != NULL)
+ tempCurr = tempCurr->next;
+ }
+ }
+}
+
+/************************************************************
+ * Purpose: find the SubConsensusPair object that contain the
+ * given id in the linked list.
+ ************************************************************/
+
+ListNode<SubConsensusPair>* ConsensusBuilder::search(List1<SubConsensusPair>* list, int cid)
+{
+ ListNode<SubConsensusPair>* curr;
+
+ for(curr = list->header->next; curr != NULL; curr = curr->next)
+ {
+ if(curr->data.cid1 == cid) // found
+ return curr;
+ }
+ return NULL;
+}
+
+/***********************************
+ * Purpose: prints current consensus
+ ***********************************/
+
+void ConsensusBuilder::print()
+{
+/* for(int j = 0; j < consensus.size(); j++)
+ cout << endl << "Cons #" << j << " => " << consensus.at(j);
+ cout << endl;
+*/}
+
+/************************************ End of File **************************************/
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ConsensusBuilder.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ConsensusBuilder.h
new file mode 100644
index 0000000..ea813d3
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ConsensusBuilder.h
@@ -0,0 +1,53 @@
+/*********************************************************************
+ * File: ConsensusBuilder.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This ConsensusBuilder class is used to determine the
+ * sequence for contigs.
+ *********************************************************************/
+
+#ifndef CONSENSUSBUILDER_H
+#define CONSENSUSBUILDER_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <string>
+#include <vector>
+#include "list.h"
+#include "Util.h"
+#include "ContigBuilder.h"
+#include "LayoutBuilder.h"
+#include "scp.h"
+
+using namespace std;
+
+class ConsensusBuilder
+{
+public:
+ // F - forward; R - reverse complement
+ enum TableType { FF, FR, RF, RR };
+
+ ConsensusBuilder(vector<string> &SACons);
+ ~ConsensusBuilder();
+
+ void initLayout(); // initialize layout
+ void buildConsensus();
+ void updateConsensus(int type);
+ void remove(List1<SubConsensusPair> * list, int cid);
+ ListNode<SubConsensusPair> * search(List1<SubConsensusPair> * list, int cid);
+ vector<string> getConsensus() { return consensus; }
+ void print();
+private:
+ void buildSubConsensus(int type);
+ void initST(int type);
+
+ List1<SubConsensusPair>* scpList; // a list of SubConsensusPair objects
+ vector<string> consensus;
+ vector<string> s, t;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ContigBuilder.cpp b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ContigBuilder.cpp
new file mode 100644
index 0000000..dd7dc6f
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ContigBuilder.cpp
@@ -0,0 +1,238 @@
+/***********************************************************************
+ * File: ContigBuilder.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file ContigBuilder.h.
+ ***********************************************************************/
+
+#include "ContigBuilder.h"
+
+/******************************************************
+ * Purpose: initialize fragment order and overlap score
+ ******************************************************/
+
+ContigBuilder::ContigBuilder(int * order, int ** s, const SA::Problem *pbm):_pbm(pbm)
+{
+ fragOrder = order;
+ score = s;
+}
+
+/*******************************************************
+ * Purpose: construct contigs based on the overlap score
+ * of adjacent fragments
+ *******************************************************/
+
+void ContigBuilder::buildContigs()
+{
+ vector<int> tempOrder;
+
+ int id1 = fragOrder[0];
+ tempOrder.push_back(id1+1); // +1 because 0 has no negative number
+ int direction = 1;
+
+ for(int i = 1; i < _pbm->numOfFragments; i++)
+ {
+ int id2 = fragOrder[i];
+ // cout << "score[" << id1 << "][" << id2 << "] = " << score[id1][id2] << endl;
+
+ int sign = direction * score[id1][id2];
+
+ if(abs(score[id1][id2]) >= _pbm->cutoff) // default cutoff = 30bps
+ {
+ if(sign > 0) // from same strand
+ {
+ tempOrder.push_back(id2+1);
+ direction = 1;
+ }
+ else // from different strand
+ {
+ tempOrder.push_back(-(id2+1));
+ direction = -1;
+ }
+ id1 = id2;
+ }
+ else
+ {
+ allContigs.push_back(tempOrder); // a new contig is formed
+ tempOrder.clear();
+ id1 = id2;
+ tempOrder.push_back(id1+1);
+ direction = 1;
+ }
+ }
+ allContigs.push_back(tempOrder);
+}
+
+/*******************************************************
+ * Purpose: merge two contigs and update the orientation
+ * accordingly
+ *******************************************************/
+
+void ContigBuilder::mergeTwoContig(int cid1, int cid2)
+{
+ vector<int> fids1 = allContigs.at(cid1);
+ vector<int> fids2 = allContigs.at(cid2);
+
+ int fid1 = fids1.at(fids1.size()-1);
+ int fid2 = fids2.at(0);
+ int sign = fid1 * fid2;
+
+ bool type = score[abs(fid1)-1][abs(fid2)-1] > 0;
+
+ bool flag = (!type && sign < 0) || (type && sign > 0); // flag = true => not change
+
+ for(int i = 0; i < fids2.size(); i++)
+ {
+ if(flag) // don't change
+ allContigs.at(cid1).push_back(fids2.at(i));
+ else // change
+ allContigs.at(cid1).push_back(-fids2.at(i));
+ }
+
+ allContigs.erase(allContigs.begin() + cid2);
+}
+
+/*****************************************************
+ * Purpose: merge contigs that satisfy the predefined
+ * threshold
+ *****************************************************/
+
+void ContigBuilder::mergeContigs()
+{
+ while(allContigs.size() >= 2)
+ {
+ int bestScore = _pbm->cutoff;
+ int cid_i = -1;
+ int cid_j = -1;
+
+ for(int i = 0; i < allContigs.size()-1; i++)
+ {
+ vector<int> tempi = allContigs.at(i);
+ int fidi_First = abs(tempi.at(0)) - 1;
+ int fidi_Last = abs(tempi.at(tempi.size()-1)) - 1;
+
+ for(int j = i+1; j < allContigs.size(); j++)
+ {
+ vector<int> tempj = allContigs.at(j);
+
+ int fidj_First = abs(tempj.at(0)) - 1;
+ int fidj_Last = abs(tempj.at(tempj.size()-1)) - 1;
+
+ if(abs(score[fidi_Last][fidj_First]) >= bestScore) // put contig_j after contig_i
+ {
+ bestScore = abs(score[fidi_Last][fidj_First]);
+ cid_i = i;
+ cid_j = j;
+ }
+ if(abs(score[fidj_Last][fidi_First]) > bestScore) // put contig_j before contig_i
+ {
+ bestScore = abs(score[fidj_Last][fidi_First]);
+ cid_i = j;
+ cid_j = i;
+ }
+ }
+ }
+
+ if(cid_i != -1 && cid_j != -1)
+ mergeTwoContig(cid_i, cid_j);
+ else
+ break;
+ }
+ cerr << endl << "*** *** *** *** SA Contigs ( " << allContigs.size() << " ) *** *** *** ***" << endl << endl;
+}
+
+/*******************************************
+ * Purpose: build consensus for each contigs
+ *******************************************/
+
+void ContigBuilder::buildConsensus()
+{
+ vector< vector<string> > fragLayouts;
+ for(int i = 0; i < allContigs.size(); i++)
+ fragLayouts.push_back(getPreLayoutFrags(allContigs.at(i)));
+
+ vector<string> SACons;
+ cerr << endl << "*** *** *** *** SA Contigs ( " << fragLayouts.size() << " ) *** *** *** ***" << endl << endl;
+
+ for(int j = 0; j < fragLayouts.size(); j++)
+ {
+ vector<string> layout = fragLayouts.at(j);
+
+// cout << endl << "Fragments Layout (" << j << ") =>" << endl << endl;
+
+ if(layout.size() > 1)
+ {
+ LayoutBuilder layoutBuilder(layout);
+ layoutBuilder.findAlignments();
+ // layoutBuilder.printAlignments();
+ layoutBuilder.buildLayout();
+ layoutBuilder.printLayout();
+ layoutBuilder.findConsensus();
+ layoutBuilder.printConsensus();
+ SACons.push_back(layoutBuilder.getConsensus());
+ }
+ else
+ {
+ SACons.push_back(layout.at(0));
+// cout << layout.at(0) << endl;
+ }
+ }
+ ConsensusBuilder * cb = new ConsensusBuilder(SACons);
+/**/ cerr << "Building Consensus" << endl;
+ cb->buildConsensus();
+/**/ cerr << "End Building Consensus" << endl;
+
+ vector<string> finalCons = cb->getConsensus();
+ cerr << endl << "*** *** *** *** Final Contigs ( " << finalCons.size() << " ) *** *** *** ***" << endl << endl;
+/* for(int k = 0; k < finalCons.size(); k++)
+ {
+ cout << ">Contig #" << k << endl;
+ cout << finalCons.at(k) << endl;
+ }
+ cout << endl << "*****************************************************" << endl;
+*/ delete cb;
+}
+
+/********************************************************
+ * Purpose: returns a vector of fragments associated with
+ * the fragment order
+ ********************************************************/
+
+vector<string> ContigBuilder::getPreLayoutFrags(vector<int> order)
+{
+ vector<string> preLayoutFrags;
+
+ for(int i = 0; i < order.size(); i++)
+ {
+ int fid = order.at(i);
+ if( fid > 0) // -1 because +1 when insert
+ preLayoutFrags.push_back(_pbm->fragments->at(fid-1));
+ else
+ preLayoutFrags.push_back(_pbm->rcFragments->at(abs(fid)-1));
+ }
+// cout << endl;
+ return preLayoutFrags;
+}
+
+/***********************************************
+ * Purpose: print fragment order for each contig
+ ***********************************************/
+
+void ContigBuilder::printOrder()
+{
+/* cout << endl << "Contig size = " << allContigs.size() << endl;
+
+ for(int i = 0; i < allContigs.size(); i++)
+ {
+ vector<int> temp = allContigs.at(i);
+ for(int j = 0; j < temp.size(); j++)
+ cout << temp.at(j) << ", ";
+ cout << endl;
+ }
+ cout << endl;
+*/}
+
+/************************************ End of File **************************************/
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ContigBuilder.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ContigBuilder.h
new file mode 100644
index 0000000..f169c00
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/ContigBuilder.h
@@ -0,0 +1,49 @@
+/*********************************************************************
+ * File: ContigBuilder.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This ContigBuilder class is used to process contigs
+ * formed from SA.
+ *********************************************************************/
+
+#ifndef CONTIGBUILDER_H
+#define CONTIGBUILDER_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include "Util.h"
+#include "ConsensusBuilder.h"
+
+#include "SA.hh"
+
+using namespace std;
+
+class ContigBuilder
+{
+public:
+ ContigBuilder(int * order, int ** s, const SA::Problem *pbm); // constructor
+ ~ContigBuilder() { } // destructor
+
+ void buildContigs();
+ void buildConsensus();
+ void mergeContigs();
+ void mergeTwoContig(int cid1, int cid2);
+ void print();
+ void printOrder();
+ vector<string> getPreLayoutFrags(vector<int> order);
+ vector< vector<int> > getAllContigs() { return allContigs; }
+private:
+ int * fragOrder; // fragment order generated by SA
+ int ** score; // pointer to score in OverlapDetector class
+ vector< vector<int> > allContigs; // set of contigs
+ const SA::Problem *_pbm;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/LayoutBuilder.cpp b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/LayoutBuilder.cpp
new file mode 100644
index 0000000..d3ab188
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/LayoutBuilder.cpp
@@ -0,0 +1,423 @@
+/***********************************************************************
+ * File: LayoutBuilder.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file LayoutBuilder.h.
+ ***********************************************************************/
+
+#include "LayoutBuilder.h"
+
+/*********************************************
+ * Purpose: allocate memory and initialization
+ *********************************************/
+
+LayoutBuilder::LayoutBuilder(const vector<string> & frags)
+{
+ preLayoutFrags = frags;
+ fragmentsLayout = new string[frags.size()];
+ semiAlign = new AlignedPair[frags.size()-1];
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+LayoutBuilder::~LayoutBuilder()
+{
+ delete [] semiAlign;
+ delete [] fragmentsLayout;
+}
+
+/************************************************************
+ * Purpose: count number of gaps in front of a given fragment
+ ************************************************************/
+
+int countStartGaps(const string &str)
+{
+ int count = 0;
+ for(int i = 0; i < str.length(); i++)
+ {
+ if(str.at(i) != '-')
+ break;
+ else
+ count++;
+ }
+ return count;
+}
+
+/**************************************************************
+ * Purpose: count number of gaps at the end of a given fragment
+ **************************************************************/
+
+int countEndGaps(const string &str)
+{
+ int count = 0;
+ for(int i = str.length() - 1; i >= 0; i--)
+ {
+ if(str.at(i) != '-')
+ break;
+ else
+ count++;
+ }
+ return count;
+}
+
+/**********************************************************
+ * Purpose: count number of nucleotides in a given fragment
+ **********************************************************/
+
+int countNonGapChar(const string &str)
+{
+ int count = 0;
+ for(int i = 0; i < str.length(); i++)
+ {
+ if(str.at(i) != '-')
+ count++;
+ }
+ return count;
+}
+
+/****************************************
+ * Purpose: create a given number of gaps
+ ****************************************/
+
+string addGaps(int num)
+{
+ string gapStr = "";
+ for(int i = 0; i < num; i++)
+ gapStr += "-";
+
+ return gapStr;
+}
+
+/**********************************************************
+ * Purpose: count number of middle gaps in a given fragment
+ **********************************************************/
+
+int* findMiddleGaps(const string &str, int count)
+{
+ int *midGapCounts = new int[count];
+ int len = str.length();
+
+ for(int i = 0; i < count; i++)
+ {
+ midGapCounts[i] = 0;
+ }
+
+ int k = 0;
+ for(int j = 0; j < len; j++)
+ {
+ if(str[j+1] == '-')
+ {
+ midGapCounts[k]++;
+ }
+ else
+ k++;
+ }
+
+ return midGapCounts;
+}
+
+/********************************************
+ * Purpose: return the first non-gap position
+ ********************************************/
+
+int findFirstNonGapPos(const string &str)
+{
+ for(int i = 0; i < str.length(); i++)
+ {
+ if(str.at(i) != '-')
+ return i;
+ }
+ return -1;
+}
+
+/******************************************************************
+ * Purpose: compute pairwise alignments for given ordered fragments
+ ******************************************************************/
+
+void LayoutBuilder::findAlignments()
+{
+ for(int k = 0; k < preLayoutFrags.size()-1; k++)
+ {
+ string s = preLayoutFrags[k];
+ string t = preLayoutFrags[k+1];
+ SGA sga(s, t);
+ sga.buildMatrix();
+ sga.findBestScore();
+ sga.align();
+
+ AlignedPair aResult(sga.align_s, sga.align_t);
+ semiAlign[k] = aResult;
+ }
+}
+
+/*************************************************************
+ * Purpose: insert number of gaps in front of a given fragment
+ *************************************************************/
+
+void LayoutBuilder::insertStartGaps(int id, int numOfGaps)
+{
+ string temp = fragmentsLayout[id];
+ string startGaps = "";
+ for(int i = 0; i < numOfGaps; i++)
+ startGaps += "-";
+ fragmentsLayout[id] = startGaps + temp;
+}
+
+/***********************************************************
+ * Purpose: insert number of gaps in the middle of fragments
+ ***********************************************************/
+
+void LayoutBuilder::insertMiddleGaps(const string &str1, const string &str2, int k, int prev)
+{
+ int nonGapCount = countNonGapChar(str1);
+ int *midGapCounts1 = findMiddleGaps(str1, nonGapCount-1);
+ int *midGapCounts2 = findMiddleGaps(str2, nonGapCount-1);
+
+ int pos = findFirstNonGapPos(fragmentsLayout[prev]);
+
+ for(int w = 0; w < nonGapCount-1; w++)
+ {
+ pos += 1;
+ if(midGapCounts1[w] != 0 || midGapCounts2[w] != 0)
+ {
+ int gapDiff = abs(midGapCounts1[w] - midGapCounts2[w]);
+ int move = 0;
+ string gaps = "";
+ for(int u = 0; u < gapDiff; u++)
+ gaps += "-";
+
+ if(midGapCounts1[w] > midGapCounts2[w])
+ {
+ fragmentsLayout[k].insert(pos, gaps);
+ move = midGapCounts1[w];
+ }
+ else if (midGapCounts1[w] < midGapCounts2[w])
+ {
+ for(int v = 0; v < k; v++)
+ fragmentsLayout[v].insert(pos, gaps);
+ move = midGapCounts2[w];
+ }
+ pos += move;
+ }
+ }
+ delete [] midGapCounts1;
+ delete [] midGapCounts2;
+}
+
+/***************************************************************
+ * Purpose: insert number of gaps at the end of a given fragment
+ ***************************************************************/
+
+void LayoutBuilder::insertEndGaps(int id, int numOfGaps)
+{
+ string temp = fragmentsLayout[id];
+ string endGaps = "";
+ for(int i = 0; i < numOfGaps; i++)
+ endGaps += "-";
+ fragmentsLayout[id] = temp + endGaps;
+}
+
+/**************************************************************
+ * Purpose: extract fragment excluding starting and ending gaps
+ **************************************************************/
+
+string LayoutBuilder::extractMiddleSeq(const string &str)
+{
+ int startGapCount = countStartGaps(str);
+ int endGapCount = countEndGaps(str);
+ int num = str.length() - startGapCount - endGapCount;
+ return str.substr(startGapCount, num);
+}
+
+/************************************
+ * Purpose: check if it is ending gap
+ ************************************/
+
+bool LayoutBuilder::isEndGap(int i, int col)
+{
+ string middle = extractMiddleSeq(fragmentsLayout[i]);
+ int firstNonGap = findFirstNonGapPos(fragmentsLayout[i]);
+
+ if(col < firstNonGap || col > firstNonGap + middle.length() - 1)
+ return true;
+ else
+ return false;
+}
+
+/************************************************
+ * Purpose: progressively build a fragment layout
+ ************************************************/
+
+void LayoutBuilder::buildLayout()
+{
+ int j = 0;
+ fragmentsLayout[j++] = semiAlign[0].s;
+ fragmentsLayout[j++] = semiAlign[0].t;
+
+ for(int i = 1; i < preLayoutFrags.size()-1; i++)
+ {
+ fragmentsLayout[j] = semiAlign[i].t;
+
+ /* handle starting gaps */
+
+ string s_temp = semiAlign[i].s;
+
+ int s_startGaps = countStartGaps(fragmentsLayout[j-1]);
+ int stemp_startGaps = countStartGaps(s_temp);
+ int startGapDiff = abs(s_startGaps - stemp_startGaps);
+
+ if(startGapDiff > 0)
+ {
+ if(stemp_startGaps > s_startGaps)
+ {
+ for(int m = 0; m < j; m++)
+ insertStartGaps(m, startGapDiff);
+ }
+ else
+ insertStartGaps(j, startGapDiff);
+ }
+
+ /* handle middle gaps */
+
+ string s_middle = extractMiddleSeq(fragmentsLayout[j-1]);
+ string stemp_middle = extractMiddleSeq(s_temp);
+
+ insertMiddleGaps(s_middle, stemp_middle, j, j-1);
+
+ /* handle end gaps */
+
+ int s_endGaps = countEndGaps(fragmentsLayout[j-1]);
+ int stemp_endGaps = countEndGaps(s_temp);
+ int endGapDiff = abs(s_endGaps - stemp_endGaps);
+
+ if(endGapDiff > 0)
+ {
+ if(stemp_endGaps > s_endGaps)
+ {
+ for(int m = 0; m < j; m++)
+ insertEndGaps(m, endGapDiff);
+ }
+ else
+ insertEndGaps(j, endGapDiff);
+ }
+ j++;
+ }
+}
+
+/***********************************************
+ * Purpose: find majority of a particular column
+ ***********************************************/
+
+char LayoutBuilder::majorityVote(int col)
+{
+ int count[5] = { 0, 0, 0, 0, 0 };
+ char nucleotide[5] = {'A', 'T', 'C', 'G', '-'};
+ char majority1 = 'A';
+ char majority2 = 'A';
+
+ for(int i = 0; i < preLayoutFrags.size(); i++)
+ {
+ if(fragmentsLayout[i].at(col) == 'A')
+ count[0]++;
+ else if(fragmentsLayout[i].at(col) == 'T')
+ count[1]++;
+ else if(fragmentsLayout[i].at(col) == 'C')
+ count[2]++;
+ else if(fragmentsLayout[i].at(col) == 'G')
+ count[3]++;
+ else if(fragmentsLayout[i].at(col) == '-')
+ count[4]++;
+ }
+ int max = count[0];
+ for(int j = 1; j < 5; j++)
+ {
+ if(count[j] > max)
+ {
+ majority2 = majority1;
+ max = count[j];
+ majority1 = nucleotide[j];
+ }
+ }
+ bool endGap = true;
+ if(majority1 == '-')
+ {
+ for(int i = 0; i < preLayoutFrags.size() && endGap; i++)
+ {
+ if(fragmentsLayout[i].at(col) == '-')
+ {
+ endGap = isEndGap(i, col);
+ }
+ }
+
+ if(endGap)
+ return majority2;
+ }
+ return majority1;
+}
+
+/***************************************
+ * Purpose: find majority of all columns
+ ***************************************/
+
+void LayoutBuilder::findMajority()
+{
+ int length = fragmentsLayout[0].length();
+
+ majority = "";
+ for(int i = 0; i < length; i++)
+ {
+ char c = majorityVote(i);
+ majority += c;
+ }
+}
+
+/********************************************
+ * Purpose: determine sequence for the layout
+ ********************************************/
+
+void LayoutBuilder::findConsensus()
+{
+ findMajority();
+ consensus = "";
+ for(int i = 0; i < majority.length(); i++)
+ {
+ if(majority.at(i) != '-')
+ consensus += majority.at(i);
+ }
+}
+
+/***************************************************
+ * Purpose: print info about all pairs of alignments
+ ***************************************************/
+
+void LayoutBuilder::printAlignments()
+{
+ for(int j = 0; j < preLayoutFrags.size()-1; j++)
+ semiAlign[j].printAlign();
+}
+
+/***********************
+ * Purpose: print layout
+ ***********************/
+
+void LayoutBuilder::printLayout()
+{
+ for(int i = 0; i < preLayoutFrags.size(); i++)
+ cout << fragmentsLayout[i] << endl;
+ cout << endl;
+}
+
+/**************************
+ * Purpose: print consensus
+ **************************/
+
+void LayoutBuilder::printConsensus()
+{
+ cout << consensus << endl;
+}
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/LayoutBuilder.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/LayoutBuilder.h
new file mode 100644
index 0000000..3e611f5
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/LayoutBuilder.h
@@ -0,0 +1,53 @@
+/*********************************************************************
+ * File: LayoutBuilder.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This LayoutBuilder class builds a layout for a contig.
+ * The contig consists of an ordered set of contiguous
+ * overlapping fragments.
+ *********************************************************************/
+
+#ifndef LAYOUTBUILDER_H
+#define LAYOUTBUILDER_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <string>
+#include <vector>
+#include "sga.h"
+#include "AlignedPair.h"
+
+using namespace std;
+
+class LayoutBuilder
+{
+public:
+ LayoutBuilder(const vector<string> & frags); // constructor
+ ~LayoutBuilder(); // destructor
+ void findAlignments(); // compute the alignments using SGA
+ void buildLayout(); // progressively build layout
+ void insertStartGaps(int id, int numOfGaps); // insert '-' at the beginning of fragments
+ void insertMiddleGaps(const string &str1, const string &str2, int k, int prev);
+ void insertEndGaps(int id, int numOfGaps); // insert '-' at the end of fragments
+ string extractMiddleSeq(const string &str);
+ bool isEndGap(int i, int col);
+ void findMajority(); // find majorities of the layout
+ char majorityVote(int col); // find majority of a particular column
+ void findConsensus();
+ void printLayout();
+ void printConsensus();
+ void printAlignments();
+ string getConsensus() { return consensus; }
+private:
+ vector<string> preLayoutFrags; // ordered fragments
+ AlignedPair * semiAlign; // store pairwise alignment result
+ string * fragmentsLayout; // store layout
+ string majority;
+ string consensus;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/MainLan.cc
new file mode 100644
index 0000000..2b937bd
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/MainLan.cc
@@ -0,0 +1,57 @@
+#include "SA.hh"
+#include "ContigBuilder.h"
+#include <iostream.h>
+#include <fstream.h>
+
+extern int Global_cutoff;
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+ Global_cutoff = pbm.cutoff;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/MainSeq.cc
new file mode 100644
index 0000000..488096d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/MainSeq.cc
@@ -0,0 +1,48 @@
+#include "SA.hh"
+#include "ContigBuilder.h"
+#include <iostream.h>
+#include <fstream.h>
+
+extern int Global_cutoff;
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+//cout << pbm;
+ Global_cutoff = pbm.cutoff;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Makefile
new file mode 100644
index 0000000..275b857
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Makefile
@@ -0,0 +1,25 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainScore: SA.req.o SA.pro.o StopCondition.o MainScore.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/DNAFA-instances/pbm.txt res/dna.sa.seq.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/OverlapDetector.cpp b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/OverlapDetector.cpp
new file mode 100644
index 0000000..49b81ec
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/OverlapDetector.cpp
@@ -0,0 +1,130 @@
+/***********************************************************************
+ * File: OverlapDetector.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file OverlapDetector.h.
+ ***********************************************************************/
+
+#include "OverlapDetector.h"
+
+/**************************
+ * Purpose: allocate memory
+ **************************/
+
+OverlapDetector::OverlapDetector(int nof):nbOfFrag(nof)
+{
+ score = new int*[nof];
+ for(int i = 0; i < nof; i++)
+ score[i] = new int[nof];
+}
+
+/**************************
+ * Purpose: release memory
+ **************************/
+
+OverlapDetector::~OverlapDetector()
+{
+ for(int j = 0; j < nbOfFrag; j++)
+ delete [] score[j];
+ delete [] score;
+}
+
+/**********************************************************
+ * Purpose: construct a score table to store overlap length
+ * of all possible pair of fragments
+ **********************************************************/
+
+void OverlapDetector::buildScoresTable(vector<string>* fragments, vector<string>* rcFragments)
+{
+ for(int i = 0; i < nbOfFrag; i++)
+ {
+ string rcFrags = rcFragments->at(i);
+
+ for(int j = i+1; j < nbOfFrag; j++)
+ {
+ SGA sga1(fragments->at(i), fragments->at(j)); // eg. w1 and w2
+ sga1.buildMatrix();
+ sga1.findBestScore();
+ int score1 = sga1.getBestScore();
+
+ SGA sga2(rcFrags, fragments->at(j)); // eg. rcw1 and w2
+ sga2.buildMatrix();
+ sga2.findBestScore();
+ int score2 = sga2.getBestScore();
+
+ if(score2 > score1) // store the larger one
+ score[j][i] = score[i][j] = -score2;
+ else
+ score[j][i] = score[i][j] = score1;
+ }
+ }
+}
+
+/***************************
+ * Purpose: for testing use
+ ***************************/
+
+void OverlapDetector::readScoreTable()
+{
+ string inputFile = string(getenv("HOME")) + "/Mallba/ProblemInstances/DNAFA-instances/score.txt";
+ ifstream inFile(inputFile.c_str(), ios::in);
+ if( !inFile )
+ {
+ cout << "\n\t\t*** The file " << inputFile
+ << " doesn't exist! ***" << endl << endl;
+ exit(1);
+ }
+
+/* char seps[] = " \t\n";
+ char oneLine[2000];
+ int i = 0;
+ inFile.getline(oneLine, 2000);
+ while(inFile.getline(oneLine, 2000))
+ {
+ int j = 0;
+ char * token = strtok(oneLine, seps);
+
+ while (token != NULL)
+ {
+ score[i][j] = atoi(token);
+ token = strtok(NULL, seps);
+ j++;
+ }
+ i++;
+ }*/
+ for(int i = 0; i < nbOfFrag; i++)
+ for(int j= 0; j < nbOfFrag; j++)
+ inFile >> score[i][j];
+ inFile.close();
+}
+
+/************************************
+ * Purpose: print overlap score table
+ ************************************/
+
+void OverlapDetector::printScoreTable()
+{
+// cout << endl << "*** *** *** *** Overlap Score Table *** *** *** ***" << endl << endl;
+
+// cout << " ";
+// for(int k = 0; k < nbOfFrag; k++)
+// cout << setw(5) << setiosflags(ios::right) << "F" << k;
+
+ for(int i = 0; i < nbOfFrag; i++)
+ {
+ cout << endl;
+// cout << "F" << i << " ";
+ for(int j = 0; j < nbOfFrag; j++)
+ {
+ if(i == j)
+ cout << setw(5) << setiosflags(ios::right) << "0 ";
+ else
+ cout << setw(5) << setiosflags(ios::right) << score[i][j] << " ";
+ }
+ }
+// cout << endl << endl << "*****************************************************" << endl;
+}
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/OverlapDetector.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/OverlapDetector.h
new file mode 100644
index 0000000..a0a0594
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/OverlapDetector.h
@@ -0,0 +1,45 @@
+/***************************************************************
+ * File: OverlapDetector.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This OverlapDetector class is used to detect the
+ * similarity of all possible pair of fragments. The
+ * overlap length between any two fragments is stored
+ * in a two dimentional array called score.
+ ***************************************************************/
+
+#ifndef OVERLAPDETECTOR_H
+#define OVERLAPDETECTOR_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <fstream>
+#include <iomanip>
+#include <stdlib.h>
+#include <string>
+#include <vector>
+
+#include "sga.h"
+
+using namespace std;
+
+
+class OverlapDetector
+{
+public:
+ OverlapDetector(int nof); // constructor
+ ~OverlapDetector(); // destructor
+ void buildScoresTable(vector<string>*, vector<string>*); // build overlap score table for fragments
+ void readScoreTable();
+ void printScoreTable();
+ int ** getScoreTable() { return score; }
+private:
+ int ** score; // to store the overlap length of all possible pair of fragments
+ int nbOfFrag; // Number of Fragments
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.cfg
new file mode 100644
index 0000000..739dc52
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+25600 // number of evaluations
+256 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+200000 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+200 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.hh
new file mode 100644
index 0000000..c8d6914
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.hh
@@ -0,0 +1,494 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+#include <vector>
+#include "OverlapDetector.h"
+
+using namespace std;
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int numOfFragments; // number of fragments^M
+ double avgLength; // average length of the input fragments^M
+ int cutoff; // overlap threshold^M
+ int * fragmentLength; // fragments' lengths^M
+ vector<string>* fragments; // forward direction of the fragments^M
+ vector<string>* description; // description of the fragments (Nombre Del Fragmento)^M
+ vector<string>* rcFragments; // reverse complement of the fragments
+ OverlapDetector *detector;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness ();
+ int& fragment(const int index);
+ int* fragments();
+
+ private:
+ int * fragOrder; // an order of an individual ^M
+ const Problem& _pbm;
+
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.pro.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.pro.cc
new file mode 100644
index 0000000..a89284b
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.pro.cc
@@ -0,0 +1,1808 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ /* if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+ */
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.pro.cc1 b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.pro.cc1
new file mode 100644
index 0000000..3d95a77
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.pro.cc1
@@ -0,0 +1,1837 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+#include "ContigBuilder.h"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %d ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+/* if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);*/
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+cerr << current_best_cost() << endl;
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ {
+ run(params.max_evaluations());
+// cerr << "Entrado" << endl;
+// Solution s(current_best_solution());
+// cerr << s;
+// ContigBuilder * builder = new ContigBuilder(s.fragments(), problem.detector->getScoreTable(),&problem);
+// builder->buildContigs();
+// builder->mergeContigs();
+// // builder->buildConsensus();
+// delete builder;
+
+ }
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+cout << "ConstructorA " << endl;
+ NetStream::init(argc,argv);
+cout << "ConstructorB " << endl;
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+cout << "Constructor " << endl;
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ {
+ run(params.max_evaluations());
+ if(mypid == 0)
+ {
+// cerr << "Entrado" << endl;
+// Solution s(current_solution());
+// cerr << s;
+// ContigBuilder * builder = new ContigBuilder(s.fragments(), problem.detector->getScoreTable(),&problem);
+// builder->buildContigs();
+// builder->mergeContigs();
+// // builder->buildConsensus();
+// delete builder;
+ }
+ }
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.req.cc
new file mode 100644
index 0000000..153f37c
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/SA.req.cc
@@ -0,0 +1,437 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+#include <math.h>
+#include "Util.h"
+#include "AdjKeys.h"
+
+skeleton SA {
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():numOfFragments(0),avgLength(0.0),cutoff(0),
+ fragmentLength(NULL),fragments(NULL),rcFragments(NULL),
+ description(NULL)
+ {
+ }
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm.cutoff);
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+//cout << buffer;
+ ifstream f((string(getenv("HOME")) + buffer).c_str());
+
+ int seqCount = -1;
+ pbm.fragments = new vector<string>();
+ pbm.description = new vector<string>();
+
+ /* read fragments from input file and store its description in descr[]
+ and its sequence in sequence[] */
+
+ char oneLine[2000];
+ string sequence;
+ string upperSeq;
+ while(f.getline(oneLine, 2000))
+ {
+//cout << oneLine;
+ string temp = string(oneLine);
+ int rightArrow = temp.find_first_of(">");
+ if(rightArrow != -1) //rightArrow is found
+ {
+ seqCount++;
+ if(seqCount != 0)
+ pbm.fragments->push_back(sequence);
+ int space = temp.find(" ", rightArrow);
+ pbm.description->push_back(temp.substr(rightArrow+1, space));
+ sequence = "";
+ }
+ else //line doesn't start with rightArrow
+ {
+ upperSeq = "";
+ for(int i = 0; i < temp.length(); i++)
+ upperSeq += toupper(temp.at(i));
+
+ sequence.append(upperSeq);
+ }
+ }
+ pbm.fragments->push_back(sequence);
+ f.close();
+
+ pbm.numOfFragments = pbm.fragments->size();
+ pbm.fragmentLength = new int[pbm.numOfFragments];
+
+ pbm.rcFragments = new vector<string>();
+
+ for(int j = 0; j < pbm.numOfFragments; j++)
+ {
+ pbm.rcFragments->push_back(Util::rcSequence(pbm.fragments->at(j)));
+//cout << pbm.description->at(j) << " " << pbm.fragments->at(j) << " " << pbm.rcFragments->at(j) << endl;
+ }
+
+ int sumLength = 0;
+ for(int i = 0; i < pbm.numOfFragments; i++)
+ {
+ pbm.fragmentLength[i] = pbm.fragments->at(i).length();
+ sumLength += pbm.fragmentLength[i];
+ }
+ pbm.avgLength = (double)sumLength / (double)pbm.numOfFragments;
+
+ pbm.detector = new OverlapDetector(pbm.numOfFragments);
+// pbm.detector->buildScoresTable(pbm.fragments, pbm.rcFragments);
+ pbm.detector->readScoreTable();
+// pbm.detector->printScoreTable();
+
+ return is;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ // Falta terminar
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize; // F1
+// return minimize; // F2
+ }
+
+ Problem::~Problem()
+ {
+ delete detector;
+ delete fragments;
+ delete rcFragments;
+ delete description;
+ delete [] fragmentLength;
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),fragOrder(new int[pbm.numOfFragments])
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ if(fragOrder != NULL) delete [] fragOrder;
+
+ fragOrder = new int [_pbm.numOfFragments];
+
+ for(int i = 0; i < _pbm.numOfFragments; i++)
+ fragOrder[i] = sol.fragOrder[i];
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ is >> sol.fragOrder[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ os << " " << sol.fragOrder[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ ns << sol.fragOrder[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ ns >> sol.fragOrder[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ if(fragOrder != NULL) delete [] fragOrder;
+
+ fragOrder = new int [_pbm.numOfFragments];
+
+ for(int i = 0; i < _pbm.numOfFragments; i++)
+ fragOrder[i] = sol.fragOrder[i];
+
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ for(int i = 0; i < _pbm.numOfFragments; i++)
+ if(fragOrder[i] != sol.fragOrder[i]) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ int * randNum = new int[_pbm.numOfFragments];
+
+ for(int k = 0; k < _pbm.numOfFragments; k++)
+ {
+ int num = rand_int(0, _pbm.numOfFragments * 2);
+ randNum[k] = num;
+ fragOrder[k] = k;
+ }
+
+ // sort value and store index as fragment order
+ for(int i = 0; i < _pbm.numOfFragments-1; i++)
+ {
+ for(int j = i+1; j < _pbm.numOfFragments; j++)
+ {
+ if( randNum[i] > randNum[j])
+ {
+ int temp = randNum[i];
+ randNum[i] = randNum[j];
+ randNum[j] = temp;
+
+ temp = fragOrder[i];
+ fragOrder[i] = fragOrder[j];
+ fragOrder[j] = temp;
+ }
+ }
+ }
+ delete [] randNum;
+ }
+
+ double Solution::fitness ()
+ {
+ int ** score = _pbm.detector->getScoreTable();
+ // F1 maximization
+ int fit = 0;
+
+ for(int k = 0; k < _pbm.numOfFragments-1; k++)
+ {
+ int i = fragOrder[k];
+ int j = fragOrder[k+1];
+
+ fit += abs(score[i][j]);
+ }
+ return (double) fit;
+ // F2 minimization
+/* int fit = 0;
+ int nof = _pbm.numOfFragments;
+
+ for(int i = 0; i < nof; i++)
+ {
+ int m = fragOrder[i];
+ for(int j = 0; j < nof; j++)
+ {
+ if(i != j)
+ {
+ int n = fragOrder[j];
+ if((nof<m) || (nof<n) || (m<0) || (n<0))
+ {
+ cout << "Error en indices" << endl;
+ return infinity();
+ }
+ fit += abs(i-j) * abs(score[m][n]);
+ }
+ }
+ }
+ return (double)fit;
+*/ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)fragOrder;
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+
+ for (int i=0;i<_pbm.numOfFragments;i++)
+ {
+ fragOrder[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.numOfFragments * sizeof(int));
+ }
+
+
+ int& Solution::fragment(const int index)
+ {
+ return fragOrder[index];
+ }
+
+
+ int* Solution::fragments()
+ {
+ return fragOrder;
+ }
+
+ Solution::~Solution()
+ {
+ delete [] fragOrder;
+ }
+
+ // UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ int indsize = sol.pbm().numOfFragments;
+ int r1 = rand_int(0, indsize-1);
+ int r2 = rand_int(0, indsize-1);
+
+ while(r2 == r1)
+ {
+ if(r1 == indsize-1) r2 = rand_int(0, indsize-2);
+ else r2 = rand_int(r1, indsize-1);
+ }
+
+ /* // swap
+ int temp = sol.fragment(r1);
+ sol.fragment(r1) = sol.fragment(r2);
+ sol.fragment(r2) = temp;
+*/
+ // 2-opt
+ if(r2 < r1)
+ {
+ int temp = r1;
+ r1 = r2;
+ r2 = temp;
+ }
+ while(r2 > r1)
+ {
+ int temp = sol.fragment(r1);
+ sol.fragment(r1) = sol.fragment(r2);
+ sol.fragment(r2) = temp;
+ ++r1;
+ --r2;
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/StopCondition.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/StopCondition.cc
new file mode 100644
index 0000000..2033972
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (false);
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/StopCondition.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Util.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Util.h
new file mode 100644
index 0000000..fcea0d2
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/Util.h
@@ -0,0 +1,71 @@
+/**************************************************************
+ * File: Util.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This Util class consists of utility functions
+ * used by other classes
+ **************************************************************/
+
+#ifndef UTIL_H
+#define UTIL_H
+
+#include <stdlib.h>
+#include <vector>
+
+using namespace std;
+
+class Util
+{
+public:
+ /* returns a randomly generated floating point number ranged [min, max] */
+// static double randDouble(double min, double max)
+// {
+// return (1.0*rand()*(max-min)/RAND_MAX + min);
+// }
+
+ /* returns a randomly generated interge number ranged [min, max] */
+// static int randInt(int min, int max)
+// {
+// return (int)randDouble(min, max);
+// }
+
+ /* returns a string that is the reverse of a given DNA sequence */
+ static string revSequence(const string &s)
+ {
+ string revSeq = s;
+ int j = 0;
+ for(int i = s.length()-1; i >= 0; i--)
+ revSeq[j++] = s.at(i);
+
+ return revSeq;
+ }
+
+ /* returns a string that is the complement of a given DNA sequence */
+ static string complSequence(const string &s)
+ {
+ string compSeq = s;
+ int j = 0;
+ for(unsigned int i = 0; i < s.length(); i++)
+ {
+ if(s.at(i) == 'A')
+ compSeq[j++] = 'T';
+ else if(s.at(i) == 'T')
+ compSeq[j++] = 'A';
+ else if(s.at(i) == 'C')
+ compSeq[j++] = 'G';
+ else if(s.at(i) == 'G')
+ compSeq[j++] = 'C';
+ else
+ compSeq[j++] = s.at(i);
+ }
+ return compSeq;
+ }
+
+ /* returns a string that is the reverse complement of a given DNA sequence */
+ static string rcSequence(const string &s)
+ {
+ return complSequence(revSequence(s));
+ }
+};
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/list.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/list.h
new file mode 100644
index 0000000..46eff2e
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/list.h
@@ -0,0 +1,300 @@
+/***************************************************************
+ * File: list.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This List class is a template class. It builds a
+ * single linked list of any type of objects.
+ ***************************************************************/
+
+#ifndef LIST_H
+#define LIST_H
+
+#include <assert.h>
+#include <stdlib.h>
+#include <iostream>
+using namespace std;
+
+template <class T>
+struct ListNode
+{
+ T data; // T could be any type of object
+ ListNode<T> *next;
+};
+
+template <class T>
+class List1
+{
+public:
+ ListNode<T>* header; // header is a dummy node
+ ListNode<T>* current;
+ int len; // length of the linked list
+
+ List1(); // constructor
+ ~List1(); // destructor
+
+ List1(const List1<T> & source); // copy constructor
+ List1<T> & operator=(const List1<T> & source);
+ void append(const T); // append data at the end of list
+ void insert(const T); // insert data in order
+ void insertPtr(const T); // insert pointer type of object in order
+ void insertFront(const T); // insert data at the beginning of the list
+ void remove(const T); // delete data from list
+ void next();
+ void prev();
+ void reset();
+ void clear();
+ int length() const { return len; }
+ bool isEmpty() const; // check whether list is empty
+ bool isFull() const; // check whether memory is allocated
+ T value() const; // return content of the data
+ void printList();
+ void printListPtr();
+ ListNode<T>* findPrevious(const T);
+ ListNode<T>* search(const T);
+};
+
+template <class T>
+List1<T>::List1()
+{
+ header = new ListNode<T>;
+ header->next = NULL;
+ current = header;
+ len = 0;
+}
+
+template <class T>
+List1<T>::List1(const List1<T> & source)
+{
+ header = NULL;
+ *this = source;
+}
+
+template <class T>
+List1<T> & List1<T>::operator=(const List1<T> & source)
+{
+ if(this != &source)
+ {
+ ListNode<T> * current = source.header;
+ while(current != NULL)
+ {
+ insert(current->data);
+ current = current->pnext;
+ }
+ }
+ return *this;
+}
+
+template <class T>
+void List1<T>::clear()
+{
+ ListNode<T> *tmp;
+ ListNode<T> *previous = header;
+ ListNode<T> *traverse = header->next;
+
+ while(traverse != NULL) // release memory from list
+ {
+ tmp = traverse;
+ previous->next = traverse->next;
+ traverse = traverse->next;
+ delete tmp;
+ }
+ current = header;
+ len = 0;
+}
+
+template <class T>
+List1<T>::~List1()
+{
+ clear();
+ delete header;
+}
+
+
+template <class T>
+void List1<T>::insert(const T item)
+{
+ assert(!isFull());
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = NULL;
+ if(len == 0) // no need to traverse
+ {
+ newNode->next = current->next;
+ current->next = newNode;
+ }
+ else // need to traverse
+ {
+ ListNode<T> * temp = header;
+ while((temp->next != NULL) && (item < temp->next->data))
+ temp = temp->next;
+ newNode->next = temp->next;
+ temp->next = newNode;
+ }
+ len++;
+}
+
+template <class T>
+void List1<T>::insertPtr(const T item)
+{
+ assert(!isFull());
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = NULL;
+ if(len == 0) // no need to traverse
+ {
+ newNode->next = current->next;
+ current->next = newNode;
+ }
+ else // need to traverse
+ {
+ ListNode<T> * temp = header;
+ while((temp->next != NULL) && (*item < *(temp->next->data))) // pointer need dereference
+ temp = temp->next;
+ newNode->next = temp->next;
+ temp->next = newNode;
+ }
+ len++;
+}
+
+template <class T>
+void List1<T>::insertFront(const T item)
+{
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = header->next;
+ header->next = newNode;
+ len++;
+}
+
+template <class T>
+void List1<T>::append(const T item)
+{
+ assert(!isFull());
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = NULL;
+ ListNode<T> *traverse = header;
+ while(traverse->next != NULL)
+ traverse = traverse->next;
+ traverse->next = newNode;
+ len++;
+}
+
+template <class T>
+ListNode<T>* List1<T>::findPrevious(const T target)
+{
+ ListNode<T> *temp;
+
+ for(temp = header; temp->next != NULL; temp = temp->next)
+ if(*(temp->next->data) == *target)
+ return temp;
+
+ return NULL;
+}
+
+template <class T>
+void List1<T>::remove(const T target)
+{
+ if(len != 0)
+ {
+ ListNode<T> *p = findPrevious(target);
+ if(p->next != NULL)
+ {
+ ListNode<T> *oldNode = p->next;
+ p->next = p->next->next;
+ delete oldNode;
+ len--;
+ }
+ }
+}
+
+template <class T>
+void List1<T>::next()
+{
+ current = current->next;
+}
+
+template <class T>
+void List1<T>::prev()
+{
+ if(len > 1)
+ {
+ ListNode<T>* tmp = header;
+ while(tmp->next != current)
+ tmp = tmp->nect;
+
+ current = tmp;
+ }
+}
+
+template <class T>
+void List1<T>::reset()
+{
+ current = header;
+}
+
+template <class T>
+bool List1<T>::isEmpty() const
+{
+ return (len == 0);
+}
+
+template <class T>
+bool List1<T>::isFull() const
+{
+ ListNode<T> *tmp = new ListNode<T>;
+ if(tmp == NULL)
+ return true;
+ else
+ {
+ delete tmp;
+ return false;
+ }
+}
+
+template <class T>
+T List1<T>::value() const
+{
+ return current->next->data;
+}
+
+template <class T>
+ListNode<T>* List1<T>::search(const T target)
+{
+ ListNode<T> *temp;
+
+ for(temp = header->next; temp != NULL; temp = temp->next)
+ if((*target) == *(temp->data))
+ return temp;
+
+ return NULL;
+}
+
+template <class T>
+void List1<T>::printList()
+{
+ cout << endl;
+ for(int i = 0; i < len; i++)
+ {
+ cout << value();
+ next();
+ }
+ reset();
+}
+
+template <class T>
+void List1<T>::printListPtr()
+{
+ cout << endl;
+ for(int i = 0; i < len; i++)
+ {
+ cout << *(value()); // pointer need dereference
+ next();
+ }
+ reset();
+}
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/pgfileLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/pgfileLan
new file mode 100644
index 0000000..d8a0011
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/pgfileLan
@@ -0,0 +1,3 @@
+localhost 0 ~/Mallba/rep/SA/dnafa/MainLan
+localhost 1 ~/Mallba/rep/SA/dnafa/MainLan
+localhost 1 ~/Mallba/rep/SA/dnafa/MainLan
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/scp.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/scp.h
new file mode 100644
index 0000000..86960d6
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/scp.h
@@ -0,0 +1,53 @@
+/*******************************************************************
+ * File: scp.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This SubConsensusPair class is used to create
+ * SubConsensusPair objects for ConsensusBuilder class
+ *******************************************************************/
+
+#ifndef SCP_H
+#define SCP_H
+
+#include <iostream>
+
+using namespace std;
+
+class SubConsensusPair
+{
+public:
+ int cid1; // first consensus's ID
+ int cid2; // second consensus's ID
+ int score; // overlap score between two consensuses
+
+ SubConsensusPair() { } // default constructor
+ SubConsensusPair(int id1, int id2, int s) // user defined constructor
+ {
+ cid1 = id1;
+ cid2 = id2;
+ score = s;
+ }
+ virtual ~SubConsensusPair() { } // destructor
+
+ bool operator<(const SubConsensusPair& source) const
+ {
+ if(score < source.score)
+ return true;
+ else
+ return false;
+ }
+ /* overload operator<< for printing the contents of a SubConsensusPair object */
+ friend ostream& operator<<(ostream& os, const SubConsensusPair &info)
+ {
+ os << "(" << info.cid1 << ", " << info.cid2 << ", " << info.score << ")" << endl;
+ return os;
+ }
+};
+
+ /* overload operator<< for printing the contents of a SubConsensusPair object */
+ //ostream& operator<<(ostream& os, const SubConsensusPair& info)
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/sga.cpp b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/sga.cpp
new file mode 100644
index 0000000..29d740b
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/sga.cpp
@@ -0,0 +1,256 @@
+/***********************************************************************
+ * File: sga.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file sga.h.
+ ***********************************************************************/
+
+#include "sga.h"
+
+/*********************************************
+ * Purpose: allocate memory and initialization
+ *********************************************/
+
+SGA::SGA(const string &is, const string &it)
+{
+ g = -2; // gap penalty = -2
+ s = is;
+ t = it;
+ m = s.length();
+ n = t.length();
+// /**/ cout << "\t size " << m+1 << " x " << n+1 << endl;
+ bestScore = 0;
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+SGA::~SGA()
+{
+}
+
+
+/*******************************************************
+ * Purpose: Build a score matrix to store the scores of
+ * pairwise semiglobal alignment
+ *******************************************************/
+
+void SGA::CalculateBest(int i, int j, int score)
+{
+//cout << "(" << i<<","<< j<<","<<score<<")"<<endl;
+ if(j == n)
+ {
+ if((score == n) && (score > bestScore)) // -------
+ { // ---
+ bestScore = score;
+ overlapType = 1;
+ }
+ else if((score == i) && (score > bestScore)) // -------
+ { // -------
+ bestScore = score;
+ overlapType = 2;
+ }
+ }
+
+ if(i == m)
+ {
+ if((score == m) && (score > bestScore)) // ---
+ { // ---------
+ bestScore = score;
+ overlapType = 3;
+ }
+ else if((score == j) && (score > bestScore)) // -------
+ { // -------
+ bestScore = score;
+ overlapType = 4;
+ }
+ }
+}
+
+void SGA::buildMatrix()
+{
+ // Primero la mitad superior
+ int i,j,k;
+ int score;
+ bestScore = 0;
+ overlapType = 3;
+ for(k = 1; k <= m; k++)
+ {
+ score = 0;
+ i = k;
+ j = 1;
+ while((j <=n) && (i <=m))
+ {
+ if(p(i,j) == 1)
+ score = score + 1;
+ else
+ score = 0;
+ j++;
+ i++;
+ }
+ i--;j--;
+ CalculateBest(i,j,score);
+ }
+
+ for(k = 2; k <= n; k++)
+ {
+ score = 0;
+ j = k;
+ i = 1;
+ while(j <=n && i <=m)
+ {
+ if(p(i,j) == 1)
+ score = score + 1;
+ else
+ score = 0;
+ j++;
+ i++;
+ }
+ i--;j--;
+ CalculateBest(i,j,score);
+ }
+}
+
+/***************************
+ * match score = 1
+ * mismatch score = -1
+ ***************************/
+
+int SGA::p(int i, int j)
+{
+ if (s[i-1] == t[j-1]) // match
+ return 1;
+ else
+ return -1;
+}
+
+/****************************************************
+ * Purpose: find the maximum number of x, y, and z
+ ****************************************************/
+
+int SGA::max(int x, int y, int z)
+{
+ int temp = x;
+ if (x < y)
+ temp = y;
+ if (temp < z)
+ temp = z;
+ return temp;
+}
+
+/********************************************************************
+ * Purpose: find the best score for the pairwise semiglobal alignment
+ ********************************************************************/
+
+void SGA::findBestScore()
+{
+}
+
+
+/**********************************************************************
+ * Purpose: Align the two sequence starting from the the row and column
+ * with the best score
+ **********************************************************************/
+
+void SGA::align()
+{
+ int i;
+ int start;
+//cout << s << endl << t << endl << bestScore << " " << overlapType << endl;
+//exit(-1);
+ string preGaps = "";
+ string postGaps = "";
+ if((start = s.find(t)) != string::npos) // t is substring of s
+ {
+ align_s = s;
+ for(i = 0; i < start; i++)
+ preGaps += "-";
+ align_t = preGaps + t;
+
+ for(i = start+bestScore; i < m; i++)
+ postGaps += "-";
+ align_t += postGaps;
+ }
+ else if((start = t.find(s)) != string::npos) // s is substring of t
+ {
+ align_t = t;
+ for(i = 0; i < start; i++)
+ preGaps += "-";
+ align_s = preGaps + s;
+
+ for(i = start+bestScore; i < n; i++)
+ postGaps += "-";
+ align_s += postGaps;
+ }
+ else if(overlapType == 4)
+ {
+ int preNumGaps = m - bestScore;
+ for(int i = 0; i < preNumGaps; i++)
+ preGaps += "-";
+ align_t = preGaps + t;
+
+ int postNumGaps = align_t.length() - m;
+ for(int j = 0; j < postNumGaps; j++)
+ postGaps += "-";
+ align_s = s + postGaps;
+ }
+ else
+ {
+ int preNumGaps = n - bestScore;
+ for(int i = 0; i < preNumGaps; i++)
+ preGaps += "-";
+ align_s = preGaps + s;
+
+ int postNumGaps = align_s.length() - n;
+ for(int j = 0; j < postNumGaps; j++)
+ postGaps += "-";
+ align_t = t + postGaps;
+ }
+}
+
+/************************************************************
+ * Purpose: Print the score matrix for the pairwise alignment
+ ************************************************************/
+
+void SGA::printMatrix()
+{
+/* for (int i = 0; i <= m; i++)
+ {
+ cout << endl;
+ for (int j = 0; j <= n; j++)
+ {
+ printf("%3d", score[i][j]);
+ }
+ }
+ cout << endl << endl;
+ cout << "The best score is: " << bestScore << endl << endl;*/
+}
+
+/***************************************
+ * Purpose: Print the pairwise alignment
+ ***************************************/
+
+void SGA::printAlign()
+{
+ cout << align_s << endl;
+ cout << align_t << endl << endl;
+}
+
+/*******************************
+ * Purpose: Print Info for debug
+ *******************************/
+void SGA::printInfo()
+{
+ cout << "m = " << m << " n = " << n << " g = " << g
+ << " bestRow = " << bestRow << " bestCol = " << bestCol << " bestscore = " << bestScore
+ << endl;
+ cout << "s = " << align_s << " t = " << align_t << endl;
+
+// printMatrix();
+}
+
+/************************************ End of File **************************************/
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/sga.h b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/sga.h
new file mode 100644
index 0000000..1cf336d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/dnafa/sga.h
@@ -0,0 +1,52 @@
+/***************************************************************
+ * File: sga.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This SGA class is used to do pairwise alignment
+ * between two fragments
+ ***************************************************************/
+
+#ifndef SGA_H
+#define SGA_H
+
+#include <iostream>
+#include <string>
+using namespace std;
+
+class SGA
+{
+public:
+ string align_s; // to store sequence s after alignment
+ string align_t; // to store sequence t after alignment
+
+ SGA() {} // default constructor
+ SGA(const string &is, const string &it); // user defined constructor
+ ~SGA(); // destructor
+ void buildMatrix();
+ int p(int i, int j);
+ void align();
+ void findBestScore();
+ void printMatrix();
+ void printAlign();
+ void printInfo();
+ int getBestRow() { return bestRow; }
+ int getBestCol() { return bestCol; }
+ int getBestScore() { return bestScore; }
+private:
+ int max(int x, int y, int z);
+ void CalculateBest(int i, int j, int score);
+ string s, t;
+ int g; // gap
+ int m; // length of s
+ int n; // length of t
+ int bestRow; // the row containning best score
+ int bestCol; // the column containing best score
+ int bestScore; // the best score of the semiglobal alignment
+// int ** score; // to store the scores for pairwise alignment
+ int overlapType;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/Config.cfg
new file mode 100644
index 0000000..2d6daf7
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/MAXSAT-instances/sat1.txt
+res/sat1.sa.lan.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/Makefile
new file mode 100644
index 0000000..0ffc8d9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/MAXSAT-instances/sat1.txt res/sat1.sa.seq.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.cfg
new file mode 100644
index 0000000..0aef72f
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+500 // number of evaluations
+10 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+10 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.hh
new file mode 100644
index 0000000..26c7864
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.hh
@@ -0,0 +1,493 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem();
+ ~Problem();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+ double infinity() const;
+
+ int numvar() const;
+ int numclause() const;
+ int lenclause() const;
+ int *clause(const int i) const;
+
+
+ private:
+
+ int _numvar;
+ int _numclause;
+ int _lenclause;
+ int ** _clauses;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_cadena_);
+
+ void initialize();
+ double fitness ();
+ unsigned int size() const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.pro.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.req.cc
new file mode 100644
index 0000000..f3554e7
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/SA.req.cc
@@ -0,0 +1,364 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_numvar(0),_numclause(0),_clauses(NULL),_lenclause(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of variables " << pbm._numvar
+ << endl << endl << "Number of clauses " << pbm._numclause
+ << endl << endl << "Length of clauses " << pbm._lenclause
+ << endl << endl
+ << " Clauses: " << endl;
+
+ for (int i=0;i<pbm._numclause;i++)
+ {
+ os << "\t clause " << i << "\t ";
+ for(int j = 0; j < pbm._lenclause; j++)
+ os << pbm._clauses[i][j] << " ";
+ os << endl;
+ }
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ int l;
+ int n;
+ is >> pbm._numvar >> pbm._numclause >> pbm._lenclause;
+
+ n = pbm._lenclause;
+ // read clauses
+ pbm._clauses = new int*[pbm._numclause];
+
+ for (int i = 0; i < pbm._numclause; i++)
+ {
+ pbm._clauses[i] = new int[n];
+ for(int j = 0; j < n;j++)
+ {
+ is >> l;
+ pbm._clauses[i][j] = l;
+ }
+ is >> l;
+ }
+
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ int n;
+ _numvar=pbm.numvar();
+ for(int i = 0; i < _numclause;i++)
+ delete [] _clauses[i];
+ delete [] _clauses;
+
+ _numclause = pbm.numclause();
+ n = _lenclause = pbm.lenclause();
+
+ _clauses = new int *[_numclause];
+
+ for(int i = 0; i < pbm._numclause;i++)
+ {
+ _clauses[i] = new int [n];
+ for(int j = 0; j < n ; j++)
+ _clauses[i][j] = pbm._clauses[i][j];
+ }
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_numvar!=pbm.numvar()) return false;
+ for (int i = 0; i < _numclause; i++)
+ for(int j = 0; j < _lenclause;j++)
+ if ( _clauses[i][j] != pbm._clauses[i][j])
+ return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ double Problem::infinity() const
+ {
+ double one=1.0;
+ double zero=0.0;
+ return 0.0 - one/zero;
+ }
+
+ int Problem::numvar() const
+ {
+ return _numvar;
+ }
+
+ int Problem::numclause() const
+ {
+ return _numclause;
+ }
+
+ int Problem::lenclause() const
+ {
+ return _lenclause;
+ }
+
+ int *Problem::clause(const int i) const
+ {
+ return _clauses[i];
+ }
+
+ Problem::~Problem()
+ {
+ for(int i = 0;i < _numclause;i++)
+ delete [] _clauses[i];
+
+ delete [] _clauses;
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.numvar())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numvar();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numvar();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var = sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.numvar();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+ double Solution::fitness ()
+ {
+ double fitness = 0.0;
+ int acum = 0;
+
+ for(int i = 0; i < _pbm.numclause(); i++)
+ {
+ int *rl = _pbm.clause(i);
+ acum = 0;
+ for(int j = 0; (j < _pbm.lenclause()) && (acum != 1);j++)
+ {
+ if( ((rl[j] < 0) && (_var[(int)abs(rl[j])-1] == 0))
+ || ((rl[j] > 0) && (_var[rl[j]-1] == 1)) )
+ acum = 1;
+ }
+ fitness += acum;
+ }
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.numvar();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.numvar() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ const float probability = 0.03;
+
+ for (int i=0;i<sol.pbm().numvar();i++)
+ {
+ if (rand01()<=probability)
+ {
+ if (sol.var(i)==1) sol.var(i)=0;
+ else sol.var(i)=1;
+ }
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/StopCondition.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/StopCondition.cc
new file mode 100644
index 0000000..dcd0513
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.current_best_cost() == pbm.numclause());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/StopCondition.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/pgfileLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/pgfileLan
new file mode 100644
index 0000000..a681b21
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/maxsat/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/Config.cfg
new file mode 100644
index 0000000..87d424d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/ONEMAX-instances/onemax10.txt
+res/om10.sa.lan.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/Makefile
new file mode 100644
index 0000000..82415bb
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/ONEMAX-instances/onemax10.txt res/om10.sa.seq.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.cfg
new file mode 100644
index 0000000..b6c9399
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+500 // number of evaluations
+5 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+10 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.hh
new file mode 100644
index 0000000..6238f6d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.hh
@@ -0,0 +1,488 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int dimension() const;
+ double infinity() const;
+
+ private:
+
+ int _dimension;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.pro.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.req.cc
new file mode 100644
index 0000000..a327cb3
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/SA.req.cc
@@ -0,0 +1,286 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm._dimension);
+
+ return is;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+
+ double Problem::infinity() const
+ {
+ double one=1.0;
+ double zero=0.0;
+ return 0.0 - one/zero;
+ }
+
+ Problem::~Problem()
+ {
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.dimension();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+ double Solution::fitness () const
+ {
+ double fitness = 0.0;
+
+ for (int i=0;i<_var.size();i++)
+ fitness += _var[i];
+
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ const float probability = 0.03;
+
+ for (int i=0;i<sol.pbm().dimension();i++)
+ {
+ if (rand01()<=probability)
+ {
+ if (sol.var(i)==1) sol.var(i)=0;
+ else sol.var(i)=1;
+ }
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/StopCondition.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/StopCondition.cc
new file mode 100644
index 0000000..f9cfd89
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.current_best_cost() == pbm.dimension());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/StopCondition.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/pgfileLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/pgfileLan
new file mode 100644
index 0000000..fa76afb
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/onemax/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/pgfileLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/pgfileLan
new file mode 100644
index 0000000..2c73753
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/pgfileLan
@@ -0,0 +1 @@
+machine_name number_of_process executable_path login
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/pgfileWan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/pgfileWan
new file mode 100644
index 0000000..2c73753
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/pgfileWan
@@ -0,0 +1 @@
+machine_name number_of_process executable_path login
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/Config.cfg
new file mode 100644
index 0000000..c8bac1a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/RND-instances/rnd149.txt
+res/rnd149.sa.lan.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/Makefile
new file mode 100644
index 0000000..b15a6cd
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/RND-instances/rnd149.txt res/rnd149.sa.seq.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.cfg
new file mode 100644
index 0000000..1dbac85
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+5000 // number of evaluations
+50 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+10 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.hh
new file mode 100644
index 0000000..6238f6d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.hh
@@ -0,0 +1,488 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int dimension() const;
+ double infinity() const;
+
+ private:
+
+ int _dimension;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.pro.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.req.cc
new file mode 100644
index 0000000..1702a43
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/SA.req.cc
@@ -0,0 +1,385 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+//Parámetros para RND -------------------------------------------------------------
+
+#define GRID_SIZE_X 287 //Artificial grid horizontal size.
+#define GRID_SIZE_Y 287 //Artificial grid vertical size.
+#define GRID_SIZE 82369 //Total grid size.
+#define TRANS_NUMB 59 //Number of transmiters used.
+#define TRANS_TOTAL 349 //Number of total transmiters.
+ //49 transmiters distributed regulary...
+ //... the rest is distributed randomly.
+
+#define RANGE 20 //Transmiter cover range (square area)
+
+//-------------------------------------------------------------------------------------------------------
+#define TARGET_FITNESS 204.08 //Fitness to be achieved in current trial
+//-------------------------------------------------------------------------------------------------------
+
+
+#define MAX_FIT 204.08 //Fitness for optimum solution.
+#define AVG_B -4.878 //Coef. for linear penalty of fitness value ...
+#define AVG_A 4.878 // ... depending on avg. and dev. overlapping.
+#define DEV_B 0.0
+#define DEV_A 2.404
+
+//---------------------------------------------------------------------------------
+
+skeleton SA {
+
+
+
+
+ //Array ------------------------------------------------------------------
+
+ static short int trans_location[TRANS_TOTAL*2]=
+ {20,20, 61,20, 102,20, 143,20, 184,20, 225,20, 266,20,
+ 20,61, 61,61, 102,61, 143,61, 184,61, 225,61, 266,61,
+ 20,102, 61,102, 102,102, 143,102, 184,102, 225,102, 266,102,
+ 20,143, 61,143, 102,143, 143,143, 184,143, 225,143, 266,143,
+ 20,184, 61,184, 102,184, 143,184, 184,184, 225,184, 266,184,
+ 20,225, 61,225, 102,225, 143,225, 184,225, 225,225, 266,225,
+ 20,266, 61,266, 102,266, 143,266, 184,266, 225,266, 266,266,
+
+ 169,180, 180,161, 160,233, 57,156, 158,145, 138,151, 160,32,
+ 165,36, 228,111, 251,181, 110,130, 286,19, 96,183, 91,133,
+ 88,74, 93,56, 35,273, 152,198, 142,181, 37,117, 271,193,
+ 49,109, 104,119, 110,54, 58,160, 135,204, 220,172, 4,141,
+ 160,244, 210,14, 36,37, 98,3, 134,226, 197,109, 101,17,
+ 112,230, 169,126, 215,44, 206,27, 18,90, 14,272, 40,134,
+ 160,150, 58,216, 170,37, 252,185, 246,142, 154,247, 180,128,
+ 188,55, 207,201, 134,15, 31,111, 166,34, 206,116, 223,261,
+ 94,48, 227,179, 24,250, 46,26, 159,245, 279,56, 235,43,
+ 195,166, 165,241, 203,9, 190,73, 20,91, 25,200, 211,255,
+ 260,199, 262,66, 283,120, 16,76, 38,112, 201,172, 144,1,
+ 273,282, 230,285, 222,240, 70,132, 240,40, 202,147, 35,175,
+ 24,41, 4,120, 88,114, 23,104, 274,142, 83,230, 281,265,
+ 248,58, 140,42, 136,185, 17,2, 9,42, 156,115, 216,32,
+ 242,104, 221,224,
+241,113,224,229,261,56,96,220,79,158,137,180,104,147,273,262,182,205,40,174,
+4,69,39,230,44,115,37,31,286,62,147,240,175,84,182,150,141,279,83,221,
+151,220,114,255,81,101,231,263,20,272,150,24,55,190,255,100,18,5,131,18,
+68,278,258,244,76,154,107,218,147,191,152,11,125,267,267,206,81,211,183,101,
+197,47,126,252,237,94,65,256,100,197,274,168,188,246,126,265,114,233,196,261,
+138,61,272,264,42,252,183,123,177,80,225,88,128,64,53,79,159,119,48,260,
+29,36,142,218,282,268,196,109,215,105,84,66,167,70,43,210,36,227,47,213,
+21,272,15,149,50,68,228,210,188,277,183,218,26,38,149,22,20,58,132,235,
+164,216,14,45,286,58,255,36,286,15,249,20,1,264,170,51,46,112,262,235,
+103,158,166,129,197,28,152,217,87,284,165,251,214,180,10,214,239,265,250,238,
+281,213,259,282,191,142,47,238,255,22,186,71,180,65,201,90,94,66,21,181,
+64,186,146,278,80,156,206,32,135,170,271,129,96,243,124,0,98,171,239,67,
+193,138,138,87,204,52,178,11,118,199,193,183,99,52,174,179,209,94,212,58,
+264,196,187,73,152,25,74,251,196,26,31,103,165,170,191,82,222,82,94,54,
+282,1,237,95,54,125,275,263,219,200,34,196,110,222,270,262,247,58,227,157,
+85,259,261,250,142,165,46,78,248,141,133,243,142,83,51,196,208,39,173,141,
+240,207,51,63,143,34,39,103,93,267,260,178,240,234,142,96,113,189,174,74,
+43,20,30,185,104,82,95,26,122,268,167,76,189,218,139,45,253,179,148,59,
+160,122,238,113,70,93,209,183,282,97,257,39,117,1,224,222,84,32,248,206,
+14,128,283,203,60,136,248,26,28,109,86,188,232,37,14,15,131,224,198,127};
+ //Transmiters location array
+
+ static short int grid[GRID_SIZE];
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm._dimension);
+
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+
+ Problem::~Problem()
+ {}
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.dimension();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+ double Solution::fitness () const
+ {
+ register int x,y,x1,y1,k;
+ double covered_points=0.0, cover_rate=0.0, fitness=0.0,alfa=2.0;
+ int used_trans;
+
+ for (k=0;k<GRID_SIZE;k++) // Initializing the grid
+ grid[k]=0;
+
+
+ used_trans=0; // Updating covered points in the grid according ...
+ for (k=0;k<_var.size();k++) // with transmiter locations and calculating ...
+ { // covered points.
+ if (_var[k]!=0.0)
+ {
+ used_trans++;
+ x=trans_location[k*2];
+ y=trans_location[k*2+1];
+ for (x1=x-RANGE;x1<=x+RANGE;x1++)
+ for (y1=y-RANGE;y1<=y+RANGE;y1++)
+ if ((x1>=0)&(y1>=0)&(x1<GRID_SIZE_X)&(y1<GRID_SIZE_Y))
+ {
+ grid[x1*GRID_SIZE_X+y1]++;
+ if (grid[x1*GRID_SIZE_X+y1]==1) covered_points++;
+ }
+ }
+ }
+
+ cover_rate =(double) (100.0 * covered_points) / (GRID_SIZE);
+ fitness = (cover_rate * cover_rate )/used_trans;
+
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ const float probability = 0.03;
+
+ for (int i=0;i<sol.pbm().dimension();i++)
+ {
+ if (rand01()<=probability)
+ {
+ if (sol.var(i)==1) sol.var(i)=0;
+ else sol.var(i)=1;
+ }
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/StopCondition.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/StopCondition.cc
new file mode 100644
index 0000000..f9cfd89
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.current_best_cost() == pbm.dimension());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/StopCondition.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/pgfileLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/pgfileLan
new file mode 100644
index 0000000..d85e66e
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/rnd/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/Config.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/Config.cfg
new file mode 100644
index 0000000..510e26d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/VRP-instances/vrpnc1.txt
+res/vrp1.sa.lan.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/MainLan.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/MainSeq.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/Makefile
new file mode 100644
index 0000000..cb3ba14
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/VRP-instances/vrpnc1.txt res/vrp1.sa.seq.txt
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.cfg b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.cfg
new file mode 100644
index 0000000..eed6739
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+1000 // number of evaluations
+10 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+1001 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.hh
new file mode 100644
index 0000000..845bb53
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.hh
@@ -0,0 +1,499 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int nCustomers() const;
+ int capacity() const;
+ double maxRouteTime() const;
+ double bestCost() const;
+ double distance(const int i, const int j) const;
+ int demand(const int i) const;
+ int service_time() const;
+
+ private:
+ void genDistances(int *x,int *y);
+
+ int _nCustomers;
+ int _capacity;
+ double **_distance;
+ int _service_time;
+ double _maxRouteTime;
+ double _bestCost;
+ int *_demand;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ int & pos(const int index);
+ Rarray<int> & routes();
+ void print();
+
+ private:
+ Rarray<int> _routes;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.pro.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.req.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.req.cc
new file mode 100644
index 0000000..c14f23a
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/SA.req.cc
@@ -0,0 +1,527 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+
+// Problem ---------------------------------------------------------------
+ Problem::Problem ():_nCustomers(0),_capacity(0),_distance(NULL),
+ _demand(NULL),_service_time(0),_maxRouteTime(0.0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << " Vehicle capacity: " << pbm._capacity
+ << endl << " Number of Customers: " << pbm._nCustomers << endl
+ << " Service time: " << pbm._service_time << endl
+ << " Max Time for any route: " << pbm._maxRouteTime << endl
+ << " Distances: " << endl;
+
+ for(int i = 0; i < (pbm._nCustomers + 1) ; i++)
+ {
+ for(int j = 0; j < pbm._nCustomers; j++)
+ os << " " << pbm.distance(i,j);
+ os << endl;
+ }
+
+ os << endl << " Demand for each customer: " << endl;
+
+ for(int i = 0; i < (pbm._nCustomers + 1) ; i++)
+ {
+ os << " " << i << "\t" << pbm._demand[i] << endl;
+ }
+
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int *x;
+ int *y;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer," %d %d %lf %d %lf",&pbm._nCustomers,&pbm._capacity,&pbm._maxRouteTime,&pbm._service_time,&pbm._bestCost);
+
+ if( ((pbm._distance = new double *[pbm._nCustomers + 1]) == NULL)
+ || ((pbm._demand = new int[pbm._nCustomers + 1]) == NULL)
+ || ((x = new int[pbm._nCustomers + 1]) == NULL)
+ || ((y = new int[pbm._nCustomers + 1]) == NULL))
+ show_message(7);
+
+ // Read depot coordenates
+ if( ((pbm._distance[0] = new double[pbm._nCustomers+1]) == NULL))
+ show_message(7);
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer," %d %d",&(x[0]),&(y[0]));
+ pbm._demand[0] = 0;
+
+ // Read customers coordenates
+ for(int i = 1; i < (pbm._nCustomers + 1); i++)
+ {
+ if( ((pbm._distance[i] = new double[pbm._nCustomers+1]) == NULL))
+ show_message(7);
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer," %d %d %d", &(x[i]),&(y[i]),&(pbm._demand[i]));
+ }
+
+ pbm.genDistances(x,y);
+
+ delete [] x;
+ delete [] y;
+
+ return is;
+ }
+
+ void Problem::genDistances(int *x,int *y)
+ {
+ for(int i = 0; i < (_nCustomers + 1); i++)
+ for(int j = 0; j < (_nCustomers +1) ; j++)
+ _distance[i][j] = sqrt( pow( (double) (x[j] - x[i]),2 ) +
+ pow( (double) (y[j] - y[i]),2 ) ) + _service_time ;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ if(_distance != NULL)
+ {
+ for(int i= 0;i < (_nCustomers+1); i++)
+ if(_distance[i] != NULL) delete [] _distance[i];
+ delete [] _distance;
+ }
+
+ if(_demand != NULL) delete [] _demand;
+
+ if( ((_distance = new double*[pbm._nCustomers]) == NULL)
+ || ((_demand = new int[pbm._nCustomers + 1]) == NULL))
+ show_message(7);
+
+ _nCustomers = pbm.nCustomers();
+ _capacity = pbm.capacity();
+ _service_time = pbm.service_time();
+ _maxRouteTime = pbm.maxRouteTime();
+
+ for(int i = 0; i < (_nCustomers+1); i++)
+ {
+ _demand[i] = pbm.demand(i);
+
+ if( ((_distance[i] = new double[_nCustomers+1]) == NULL))
+ show_message(7);
+
+ for(int j = 0; j < (_nCustomers+1); i++)
+ {
+ _distance[i][j] = pbm.distance(i,j);
+ }
+ }
+
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if( (_maxRouteTime != pbm.maxRouteTime()) || (_nCustomers != pbm.nCustomers())
+ || (_capacity != pbm.capacity()) || (_service_time != pbm.service_time()))
+ return false;
+
+ for(int i = 0; i < (_nCustomers+1); i++)
+ {
+ if(_demand[i] != pbm.demand(i))
+ return false;
+
+ for(int j = 0; j < (_nCustomers+1); i++)
+ {
+ if(distance(i,j) != pbm.distance(i,j)) return false;
+ }
+ }
+
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ //return maximize;
+ return minimize;
+ }
+
+ double Problem::maxRouteTime() const
+ {
+ return _maxRouteTime;
+ }
+
+ double Problem::bestCost() const
+ {
+ return _bestCost;
+ }
+
+ int Problem::nCustomers() const
+ {
+ return _nCustomers;
+ }
+
+ int Problem::capacity() const
+ {
+ return _capacity;
+ }
+
+ double Problem::distance(const int i, const int j) const
+ {
+ return _distance[i][j];
+ }
+
+ int Problem::demand(const int i) const
+ {
+ return _demand[i];
+ }
+
+ int Problem::service_time() const
+ {
+ return _service_time;
+ }
+
+ Problem::~Problem()
+ {
+ if(_distance != NULL)
+ {
+ for(int i= 0;i < (_nCustomers+1); i++)
+ if(_distance[i] != NULL) delete [] _distance[i];
+ delete [] _distance;
+ }
+
+ if(_demand != NULL) delete [] _demand;
+
+ }
+
+// Solution --------------------------------------------------------------
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_routes(pbm.nCustomers())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers(); i++)
+ {
+ is >> sol._routes[i];
+ }
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers(); i++)
+ {
+ os << (sol._routes[i]<10?" ":"") << sol._routes[i] << " ";
+ }
+
+ return os;
+ }
+
+ void Solution::print()
+ {
+ int ultimo = 0;
+ double dist = 0.0;
+ int cap = _pbm.capacity();
+
+ register int c_actual;
+ register int i = 0;
+
+ int nRoute = 1;
+
+ cout << " Ruta " << nRoute << " = 0 ";
+ while(i < _pbm.nCustomers())
+ {
+ c_actual = _routes[i];
+
+ if( ((dist + _pbm.distance(ultimo,c_actual) + _pbm.distance(c_actual,0)) > _pbm.maxRouteTime())
+ || (( cap - _pbm.demand(c_actual)) < 0)
+ // add in version 1.0.1
+ || ((_pbm.distance(ultimo,0) + _pbm.distance(0,c_actual)) < _pbm.distance(ultimo,c_actual))
+ )
+ {
+ nRoute++;
+ cout << "0 -> dist = " << (dist + _pbm.distance(ultimo,0)) << " capacidad sobra = " << cap
+ << endl << "Ruta " << nRoute << " = 0 ";
+ ultimo = 0;
+ dist = 0.0;
+ cap = _pbm.capacity();
+ }
+ else
+ {
+ dist += _pbm.distance(ultimo,c_actual);
+ cap -= _pbm.demand(c_actual);
+ ultimo = c_actual;
+ cout << ultimo << " ";
+ i++;
+ }
+ }
+
+ cout << "0 -> dist = " << (dist + _pbm.distance(ultimo,0)) << " capacidad sobra = " << cap
+ << endl;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers();i++)
+ ns << sol._routes[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers();i++)
+ ns >> sol._routes[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _routes = sol._routes;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ int aux,ind1,ind2;
+
+ int max = _pbm.nCustomers();
+
+ for(int i = 0; i < max; i++)
+ _routes[i] = i+1;
+
+ cout << endl;
+
+ for(int i=0;i< (max*5) ; i++)
+ {
+ ind1 = rand_int(0,max-1);
+ ind2 = rand_int(0,max-1);
+
+ aux = _routes[ind1];
+ _routes[ind1] = _routes[ind2];
+ _routes[ind2] = aux;
+ }
+ }
+
+ double Solution::fitness () const
+ {
+ double fitness = 0.0;
+ int ultimo = 0;
+ double dist = 0.0;
+ int cap = _pbm.capacity();
+
+ register int c_actual;
+ register int i = 0;
+
+ while(i < _pbm.nCustomers())
+ {
+ c_actual = _routes[i];
+
+ if( ((dist + _pbm.distance(ultimo,c_actual) + _pbm.distance(c_actual,0)) > _pbm.maxRouteTime())
+ || (( cap - _pbm.demand(c_actual)) < 0)
+ // Add on version 1.0.1
+ // New constrains: cost( Route + actual) < cost( new Route(actual))
+ || ((_pbm.distance(ultimo,0) + _pbm.distance(0,c_actual)) < _pbm.distance(ultimo,c_actual))
+ )
+ {
+ fitness += dist + _pbm.distance(ultimo,0);
+ ultimo = 0;
+ dist = 0.0;
+ cap = _pbm.capacity();
+ }
+ else
+ {
+ dist += _pbm.distance(ultimo,c_actual);
+ cap -= _pbm.demand(c_actual);
+ ultimo = c_actual;
+ i++;
+ }
+ }
+
+ fitness += dist + _pbm.distance(ultimo,0);
+
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_routes.get_first();
+ }
+
+ void Solution::to_Solution(char *_routes_)
+ {
+ int *ptr=(int *)_routes_;
+
+ for (int i=0;i<_pbm.nCustomers();i++)
+ {
+ _routes[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return ( _pbm.nCustomers() * sizeof(int));
+ }
+
+ int & Solution::pos(const int index)
+ {
+ return _routes[index];
+ }
+
+
+ Rarray<int>& Solution::routes()
+ {
+ return _routes;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ Solution aux(sol);
+ const int max = sol.pbm().nCustomers();
+ float fit = sol.fitness();
+ float fit_a;
+ Direction d = sol.pbm().direction();
+
+ for(int i = 0; i < max; i++)
+ for(int j = i+1; j < max; j++)
+ {
+ aux.routes().invert(i,j);
+ fit_a = aux.fitness();
+ if( ((d == minimize) && (fit_a < fit))
+ || ((d == minimize) && (fit_a > fit) && (rand01() < 0.3))
+ || ((d == maximize) && (fit_a > fit))
+ || ((d == maximize) && (fit_a < fit) && (rand01() < 0.3)))
+ {
+ fit = fit_a;
+ sol = aux;
+ }
+ else aux = sol;
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/StopCondition.cc b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/StopCondition.cc
new file mode 100644
index 0000000..e5a2279
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((double)solver.current_best_cost()==pbm.bestCost());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/StopCondition.hh b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/pgfileLan b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/pgfileLan
new file mode 100644
index 0000000..1c419a1
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/rep/SA/vrp/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/Makefile b/ProyectoFinal/AlgoritmoGenetico/malva/src/Makefile
new file mode 100644
index 0000000..b6d64fb
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/Makefile
@@ -0,0 +1,14 @@
+include ../environment
+
+OBJS = States.o netstream.o
+
+all: $(OBJS)
+
+States.o: States.cc States.hh
+ $(CXX) $(CPPFLAGS) States.cc -c
+
+netstream.o: netstream.cc netstream.hh
+ $(CXX) $(CPPFLAGS) netstream.cc -c
+
+clean:
+ rm -f *.o *~ *%
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/Matrix.hh b/ProyectoFinal/AlgoritmoGenetico/malva/src/Matrix.hh
new file mode 100644
index 0000000..cc30ae7
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/Matrix.hh
@@ -0,0 +1,337 @@
+/*****************************************************************************
+*** ***
+*** Este fichero decribe el template Matrix, para el manejo de matrices. ***
+*** Tambien permite el manejo de vectores, los que trata como matrices cuya***
+*** primera dimension es 1. ***
+*** ***
+*****************************************************************************/
+#ifndef _MATRIX
+#define _MATRIX
+
+#include "Messages.h"
+#include <assert.h>
+
+template <class T> class Matrix
+{
+ private:
+ T *_matrix;
+ T nulo,neutro,inverso;
+ int _dimX,_dimY;
+
+ public:
+ Matrix()
+ {
+ _dimX = _dimY = 0;
+ _matrix = NULL;
+ }
+
+ Matrix(const int x,const int y,const T nulo = 0.0,const T neutro = 1.0,const T inverso = -1.0)
+ {
+ assert(x >= 1);
+ assert(y >= 1);
+
+ int k = 0;
+
+ _dimX = x;
+ _dimY = y;
+
+ this->nulo = nulo;
+ this->neutro = neutro;
+ this->inverso = inverso;
+
+ _matrix = new T [_dimX*_dimY];
+ if(!_matrix) show_message(7);
+
+ for(int i = 0; i < x; i++)
+ {
+ for(int j = 0; j < y ; j++)
+ {
+ _matrix[k] = (i!=j?nulo:neutro);
+ k++;
+ }
+
+ }
+ }
+
+ Matrix(const int y,const T nulo = 0.0,const T neutro = 1.0,const T inverso = -1.0)
+ {
+ assert(y >= 1);
+
+ _dimX = 1;
+ _dimY = y;
+
+ this->nulo = nulo;
+ this->neutro = neutro;
+ this->inverso = inverso;
+
+ _matrix = new T [_dimY];
+ if(!_matrix) show_message(7);
+
+ _matrix[0] = neutro;
+ for(int j = 1; j < y ; j++)
+ _matrix[j] = nulo;
+ }
+
+ Matrix(const Matrix<T> &m)
+ {
+
+ _dimX = m.dimX();
+ _dimY = m.dimY();
+
+ nulo = m.nulo;
+ neutro = m.neutro;
+ inverso = m.inverso;
+
+ _matrix = new T [_dimX*_dimY];
+ if(!_matrix) show_message(7);
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ {
+ _matrix[i] = m[i];
+ }
+ }
+
+
+ ~Matrix()
+ {
+ remove();
+ }
+
+ T &operator()(const int x,const int y) const
+ {
+ if((x >= _dimX) || (y >= _dimY))
+ show_message(14);
+
+ return (T&)(*(_matrix + (x*_dimX) + y));
+ }
+
+ T &operator[](const int y) const
+ {
+ if(y >= (_dimX*_dimY))
+ show_message(14);
+
+ return (T&)(*(_matrix + y));
+ }
+
+ T &operator()(const int y) const
+ {
+ if(y >= (_dimX*_dimY))
+ show_message(14);
+
+ return (T&)(*(_matrix + y));
+ }
+
+ Matrix<T> &operator=(const Matrix<T> &m)
+ {
+ remove();
+
+ _dimX = m.dimX();
+ _dimY = m.dimY();
+
+ _matrix = new T [_dimX*_dimY];
+ if(!_matrix) show_message(7);
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ {
+ _matrix[i] = m[i];
+ }
+
+ return (*this);
+ }
+
+ bool operator==(const Matrix<T> &m) const
+ {
+ if((_dimX != m.dimX()) || (_dimY != m.dimY()))
+ return false;
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ if(_matrix[i] != m[i]) return false;
+
+ return true;
+ }
+
+ bool operator!=(const Matrix<T> &m) const
+ {
+ return !((*this) == m);
+ }
+
+ Matrix<T> operator*(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimY?0:_dimX);
+ int y = (x!=0?m.dimY():0);
+ T acum = nulo;
+
+ Matrix<T> res(x,y);
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < m.dimY(); j++)
+ {
+ acum = nulo;
+ for( int k = 0; k < _dimY; k++)
+ acum += (*this)(i,k)* m(k,j);
+ res(i,j) = acum;
+ }
+
+ return Matrix<T>(res);
+
+ }
+
+ Matrix<T> &operator*=(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimY?0:_dimX);
+ int y = (x!=0?0:m.dimY());
+ T acum = nulo;
+
+ Matrix<T> res(x,y);
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < m.dimY(); j++)
+ {
+ acum = nulo;
+ for( int k = 0; k < _dimY; k++)
+ acum += (*this)(i,k)*m(k,j);
+ res(i,j) = acum;
+ }
+
+ (*this) = res;
+
+ return (*this);
+
+ }
+
+ Matrix<T> operator*(const T &elem)
+ {
+ Matrix<T> res(_dimX,_dimY);
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ res[i] = _matrix[i] * elem;
+
+ return Matrix(res);
+ }
+
+ Matrix<T> &operator*=(const T &elem)
+ {
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ _matrix[i] *= elem;
+
+ return (*this);
+ }
+
+ Matrix<T> operator+(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimX?0:_dimX);
+ int y = (m.dimY()!=_dimY?0:_dimY);
+
+ Matrix<T> res(x,y);
+
+ for(int i = 0; i < (x*y); i++)
+ res[i] = _matrix[i] + m[i];
+
+ return Matrix<T>(res);
+ }
+
+ Matrix<T> &operator+=(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimX?0:_dimX);
+ int y = (m.dimY()!=_dimY?0:_dimY);
+
+ for(int i = 0; i < (x*y); i++)
+ _matrix[i] += m[i];
+
+ return (*this);
+ }
+
+ Matrix<T> operator-(const Matrix<T> &m)
+ {
+ Matrix<T> res();
+
+ res = m * inverso;
+ return (*this) + res;
+ }
+
+
+ Matrix<T> &operator-=(const Matrix<T> &m)
+ {
+ Matrix<T> res();
+
+ res = m * inverso;
+ (*this) += res;
+
+ return (*this);
+ }
+
+ Matrix<T> Traspuesta()
+ {
+ Matrix<T> res(_dimY,_dimX);
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < _dimY; j++)
+ res(j,i) = (*this)(i,j);
+
+ return Matrix<T>(res);
+ }
+
+ Matrix<T> &nula()
+ {
+ for(int i = 0; i < (_dimX*dimY); i++)
+ _matrix[i] = nulo;
+
+ return (*this);
+ }
+
+ Matrix<T> &identity()
+ {
+ register int k = 0;
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < _dimY; j++)
+ {
+ _matrix[k] = (i!=j?nulo:neutro);
+ k++;
+ }
+
+ return (*this);
+ }
+
+ unsigned int size() const
+ {
+ return (sizeof(T)*_dimX*_dimY);
+ }
+
+ char *to_string() const
+ {
+ return (char *) _matrix;
+ }
+
+ Matrix<T> &to_Matrix(char *_cadena)
+ {
+ T *ptr = (T *)_cadena;
+
+ for(int i = 0; i < (_dimX*_dimY) ; i++)
+ {
+ _matrix[i] = *ptr;
+ ptr++;
+ }
+
+ return (*this);
+ }
+
+
+ int dimX() const
+ {
+ return _dimX;
+ }
+
+ int dimY() const
+ {
+ return _dimY;
+ }
+
+ void remove()
+ {
+ if(_matrix != NULL)
+ delete [] _matrix;
+ }
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/Messages.h b/ProyectoFinal/AlgoritmoGenetico/malva/src/Messages.h
new file mode 100644
index 0000000..e46b1d8
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/Messages.h
@@ -0,0 +1,112 @@
+/*****************************************************************************/
+/*** ***/
+/*** Modificado por G.J.L.P. ***/
+/*** Añadidos nuevos mensajes que indican falta de algún ***/
+/*** Fichero de Configuración (No específico para ningún ***/
+/*** problema) o nuevos errores. ***/
+/*** ***/
+/*****************************************************************************/
+
+#ifndef RLFAP_MESSAGES
+#define RLFAP_MESSAGES
+
+#ifndef MAX_BUFFER
+#define MAX_BUFFER 200
+#endif
+
+#include <iostream>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+
+using namespace std;
+
+inline void show_message(int value)
+{
+ switch (value)
+ {
+ case 1: cout << endl << "Error: number of arguments in the execution call is incorrect !!"
+ << endl; break;
+ case 2: cout << endl << "Error: It's imposible find Configuration file !!" << endl;
+ break;
+ /* Específicos de RLFAP */
+ case 3: cout << endl << "Error: It is imposible find the Celar problem definition file (cst.txt) !!"
+ << endl; break;
+ case 4: cout << endl << "Error: It is imposible find the Celar domains file (dom.txt) !!"
+ << endl; break;
+ case 5: cout << endl << "Error: It is imposible find the Celar links file (var.txt) !!"
+ << endl; break;
+ case 6: cout << endl << "Error: It is imposible find the Celar constraints file (ctr.txt) !!"
+ << endl; break;
+ /* Fallos de Memoria */
+ case 7: cout << endl << "Error: No avalible memory for \"malloc\" operation !!" << endl;
+ break;
+ case 8: cout << endl << "Error: in \"free\" operation !!" << endl;
+ break;
+ /* Específicos del MaxCut */
+ case 9: cout << endl << "Error: It is imposible find the Maxcut file (Maxcut.txt) !!"
+ << endl; break;
+ /* Genéricos de Falta de ficheros de configuracion adicionales al mensaje 2 */
+ case 10: cout << endl << "Error: It's imposible find Configuration file (Config.cfg) !!"
+ << endl; break;
+ case 11: cout << endl << "Error: It's imposible find Skeleton Configuration File (Ske.cfg) !!"
+ << endl; break;
+ case 12: cout << endl << "Error: It's imposible find Instance Problem File !!" << endl;
+ break;
+ case 13: cout << endl << "Error: It's imposible find Resultate File !!" << endl;
+ break;
+ case 14: cout << endl << "Error: Index out of Range !!" << endl;
+ break;
+ default: cout << endl << "Unkown Error !!" << endl;
+ }
+
+ cout << endl << " " << endl;
+ exit(-1);
+}
+
+inline void continue_question()
+{
+ fflush(stdout);
+ cout << endl << "Press any key to continue..." << endl;
+ fflush(stdin);
+ getc(stdin);
+}
+
+inline void get_path(const char *source,char *target)
+{
+ int last = 0;
+
+ for(int i = 0; i < strlen(source); i++)
+ {
+ target[i] = source[i];
+ if(target[i] == '/')
+ last = i;
+ }
+ target[last+1] = '\0';
+}
+
+inline unsigned count_lines(char *file_name) // returns the number of lines of a file
+{
+ char line[MAX_BUFFER];
+ FILE *file;
+ int count=0;
+
+ if ((file=fopen(file_name,"r"))==NULL)
+ {
+ fflush(stdout);
+ printf("File not found !");
+ }
+
+ while (!feof(file))
+ {
+ if (fgets(line,MAX_BUFFER,file)) count++;
+ else
+ {
+ fclose(file);
+ break;
+ }
+ }
+ return count;
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/Rarray.h b/ProyectoFinal/AlgoritmoGenetico/malva/src/Rarray.h
new file mode 100644
index 0000000..5d1a1c2
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/Rarray.h
@@ -0,0 +1,145 @@
+/******************************************************************************
+*** ***
+*** Template para el manejo dinámico de arrays ***
+*** Añadido métodos para invertir todo o parte del array. ***
+*** ***
+******************************************************************************/
+
+#ifndef ARRAY_INC
+#define ARRAY_INC 1
+#include <iostream>
+#include <assert.h>
+
+using namespace std;
+
+template<class E1> class Rarray
+{
+ private:
+ E1 *first;
+ int count;
+
+ public:
+ Rarray()
+ {
+ first = NULL;
+ count = 0;
+ }
+
+ ~Rarray()
+ {
+ remove();
+ }
+
+ E1* get_first() const
+ {
+ return first;
+ }
+
+ void message_a(int cod) const
+ {
+ switch (cod)
+ {
+ case 1: cout << endl << "The size of array must be upper that 0 !!!" ;
+ }
+ }
+
+ Rarray(const int size_a)
+ {
+ if (size_a<0) message_a(1);
+ first = new E1[size_a];
+ count=size_a;
+ }
+
+ void remove()
+ {
+ if (count!=0)
+ delete [] first;
+ }
+
+ int size() const
+ {
+ return count;
+ }
+
+ E1& operator[](int pos) const
+ {
+ return (E1&)(*(first + pos));
+ }
+
+ friend ostream& operator<< (ostream& os,const Rarray<E1>& a)
+ {
+ for (int i=0;i<a.size();i++)
+ os << endl << a[i];
+ return os;
+ }
+
+ Rarray<E1>& operator=(const Rarray<E1>& source)
+ {
+ remove();
+ count = source.size();
+ first = new E1[count];
+
+ for (int i=0;i<count;i++)
+ (*this)[i] = source[i];
+
+ return (*this);
+ }
+
+
+ Rarray<E1>& invert()
+ {
+ return invert(0,count-1);
+ }
+
+ Rarray<E1>& invert(const int pos1, const int pos2)
+ {
+ int max,min,half,i,j;
+ E1 aux;
+
+ if(pos1 > pos2)
+ {
+ max = pos1;
+ min = pos2;
+ }
+ else
+ {
+ max = pos2;
+ min = pos1;
+ }
+
+ assert((min > 0) || (min < count-1));
+ half = ((max-min)/2) + 1;
+
+ for(i = min,j=max; i< half; i++,j--)
+ {
+ aux = first[min];
+ first[min] = first[max];
+ first[max] = aux;
+ }
+
+ return (*this);
+ }
+
+ Rarray<E1>& sort(int (*comp)(const E1 &,const E1 &))
+ {
+ E1 aux;
+ int j;
+
+ for (int i=1; i < count ; i++)
+ {
+ aux = first[i];
+ j = i - 1;
+ while ( (comp(aux,first[j])) && (j >= 0) )
+ {
+ first[j+1]= first[j];
+ j--;
+ }
+ first[j+1] = aux;
+ }
+
+ return (*this);
+ }
+
+}; // end of class
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/Rlist.h b/ProyectoFinal/AlgoritmoGenetico/malva/src/Rlist.h
new file mode 100644
index 0000000..f561d0b
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/Rlist.h
@@ -0,0 +1,415 @@
+/******************************************************************************
+*** ***
+*** Este template sirve para el manejo de listas din�micas ***
+*** ***
+******************************************************************************/
+
+#ifndef LIST_INC
+#define LIST_INC 1
+#include <iostream>
+#include <stdlib.h>
+#include <Messages.h>
+
+using namespace std;
+
+template<class E> class Rlist_item
+{
+ public:
+ E *useful_data; // pointer to the structure stored in the list
+ Rlist_item<E> *next;
+ Rlist_item<E> *previous;
+
+ Rlist_item(E& new_data)
+ {
+ useful_data=&new_data;
+ next=NULL;
+ previous=NULL;
+ }
+
+ Rlist_item(E *new_data)
+ {
+ useful_data=new_data;
+ next=NULL;
+ previous=NULL;
+ }
+
+ ~Rlist_item()
+ {
+ }
+
+ Rlist_item<E>& next_item()
+ {
+ return *(next);
+ }
+
+ Rlist_item<E>& previous_item()
+ {
+ return *(previous);
+ }
+
+ bool is_last()
+ {
+ return (next==NULL);
+ }
+
+ bool is_first()
+ {
+ return (previous==NULL);
+ }
+
+ E& data()
+ {
+ return *(useful_data);
+ }
+};
+
+template<class E> class Rlist
+{
+ private:
+ Rlist_item<E> *first; // first item in the list
+ Rlist_item<E> *last; // last item un the list
+ int count; // number of items in the list
+
+ public:
+ // constructor
+ Rlist()
+ {
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+
+ // destructor
+ ~Rlist()
+ {
+ remove();
+ }
+
+ // Return the size of the list
+ int size() const
+ { return count; }
+
+ // Go back to the initial state of the list
+ void reset()
+ {
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+
+ // Add a item at the final of the list
+ Rlist<E>& append(E& new_item)
+ {
+ Rlist_item<E> *new_Rlist_item=new Rlist_item<E>(new_item);
+ if (first==NULL)
+ {
+ first=new_Rlist_item;
+ new_Rlist_item->next=NULL;
+ new_Rlist_item->previous=NULL;
+ }
+ else
+ {
+ last->next=new_Rlist_item;
+ new_Rlist_item->previous=last;
+ }
+ last=new_Rlist_item;
+ count++;
+ return *this;
+ }
+
+ Rlist<E>& append(E *new_item)
+ {
+ append(*new_item);
+ return (*this);
+ }
+
+ // Add a item in a position ( pos ) of the list
+ Rlist<E>& add_pos(E& new_item, const int pos)
+ {
+ if (pos==size()-1)
+ return append(new_item);
+
+ if (pos==-1)
+ return add(new_item,NULL);
+ else
+ return add(new_item,get_at(pos).useful_data);
+ }
+
+ // Add a item in the list in the position next to "previous item"
+ Rlist<E>& add(E& new_item,E *previous_item)
+ {
+ if (first==NULL)
+ return append(new_item);
+
+ Rlist_item<E> *new_Rlist_item=new Rlist_item<E>(new_item);
+
+ if (previous_item==NULL) // Add the item like the first of the list
+ {
+ new_Rlist_item->next=first;
+ new_Rlist_item->previous=NULL;
+ first->previous=new_Rlist_item;
+ first=new_Rlist_item;
+ }
+ else
+ {
+ int previous_position=get_position(*previous_item);
+ if (previous_position==-1) return(*this);
+ Rlist_item<E> *previous_Rlist_item = &( get_at(previous_position));
+ new_Rlist_item->next=previous_Rlist_item->next;
+ new_Rlist_item->previous=previous_Rlist_item;
+ if (previous_Rlist_item->next!=NULL)
+ (previous_Rlist_item->next)->previous=new_Rlist_item;
+ else last=new_Rlist_item;
+ previous_Rlist_item->next=new_Rlist_item;
+ }
+ count++;
+ return *this;
+ }
+
+ // Return a pointer to the first item of the list
+ Rlist_item<E> *get_first() const
+ { return first; }
+
+ // Assign a item like the first item in the list
+ void set_first(Rlist_item<E> *new_first)
+ { first=new_first; }
+
+ // Return a pointer to the last item of the list
+ Rlist_item<E> *get_last() const
+ { return last; }
+
+ // Assign a item like the last item in the list
+ void set_last(Rlist_item<E> *new_last)
+ { last=new_last; }
+
+ // Return the item at position "pos"
+ E& operator[](int pos) const
+ {
+ return *(get_at(pos).useful_data);
+ }
+
+ // Return the Rlist_item at position "pos"
+ Rlist_item<E>& get_at(int pos) const
+ {
+ Rlist_item<E> *present=first;
+ for (int k=0;k<size();k++)
+ if (k==pos) return *present;
+ else present=present->next;
+ }
+
+ // Return the item position in the list
+ int get_position(const E& item) const // probado
+ {
+ Rlist_item<E> *present=first;
+ int i=0;
+
+ while(present!=NULL)
+ {
+ if (present->useful_data==&item) return i;
+ i++;
+ present=present->next;
+ }
+ return -1; // the object has not been found
+ }
+
+ // Delete a item of the list
+ Rlist<E>& delete_item(E& item)
+ {
+ int position = get_position(item);
+
+ if (position==-1) return *this;
+ Rlist_item<E> *present=&(get_at(position));
+
+ if (&item==first->useful_data) // is the first
+ {
+ if (&item==last->useful_data)
+ {
+ delete(first->useful_data);
+ delete(first);
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+ else
+ {
+ first=first->next;
+ first->previous=NULL;
+ delete(present->useful_data);
+ delete(present);
+ count--;
+ }
+ }
+ else
+ {
+ if (&item==last->useful_data)
+ {
+ last=present->previous;
+ last->next=NULL;
+ delete(present->useful_data);
+ delete(present);
+ count--;
+ }
+ else
+ {
+ (present->next)->previous=present->previous;
+ (present->previous)->next=present->next;
+ delete(present->useful_data);
+ delete(present);
+ count--;
+ }
+ }
+ return *this;
+ }
+
+ // Delete a item of the list without free the useful_data
+ Rlist<E>& delete_item_1(E& item)
+ {
+ int position = get_position(item);
+
+ if (position==-1) return *this;
+ Rlist_item<E> *present=&(get_at(position));
+
+ if (&item==first->useful_data) // is the first
+ {
+ if (&item==last->useful_data)
+ {
+ delete(first);
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+ else
+ {
+ first=first->next;
+ first->previous=NULL;
+ delete(present);
+ count--;
+ }
+ }
+ else
+ {
+ if (&item==last->useful_data)
+ {
+ last=present->previous;
+ last->next=NULL;
+ delete(present);
+ count--;
+ }
+ else
+ {
+ (present->next)->previous=present->previous;
+ (present->previous)->next=present->next;
+ delete(present);
+ count--;
+ }
+ }
+ return *this;
+ }
+
+ // Delete item at position "pos"
+ Rlist<E>& delete_item_by_position(const int pos)
+ { return delete_item(*(get_at(pos).useful_data)); }
+
+ // Delete the last item in the list
+ Rlist<E>& delete_last()
+ { return delete_item(*(last->useful_data)); }
+
+ // delete all items in the list
+ Rlist<E>& remove()
+ {
+ Rlist_item<E> *next,*present=first;
+ while (present!=NULL)
+ {
+ next=present->next;
+ delete(present->useful_data);
+ delete(present);
+ present=next;
+ }
+ first=NULL;
+ last=NULL;
+ count=0;
+ return *this;
+ }
+
+ // Join a new list to this list
+ Rlist<E>& join(Rlist<E>& new_list)
+ {
+ if (new_list.size()==0)
+ return *this;
+
+ if (first==NULL)
+ {
+ first=new_list.get_first();
+ last=new_list.get_last();
+ }
+ else
+ {
+ last->next=new_list.get_first();
+ (new_list.get_first())->previous=last;
+ last = new_list.get_last();
+ }
+ count += new_list.size();
+ new_list.reset();
+ return *this;
+ }
+
+ // Show items of the list
+ friend ostream& operator<<(ostream& os, const Rlist<E>& list)
+ {
+ Rlist_item<E> *present=list.get_first();
+ if (list.get_first()==NULL) os << endl << "THE LIST IS EMPTY !!";
+ while (present!=NULL)
+ {
+ os << endl << (*(present->useful_data));
+ // Falta el operador para stat.
+ // (habra que ver)
+ present=present->next;
+ }
+ return os;
+ }
+
+ // Copy the list passed
+ Rlist<E>& operator=(const Rlist<E>& source)
+ {
+ E *new_item;
+ remove();
+ if (source.first==NULL && source.last==NULL)
+ {
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+ else
+ {
+ for (int i=0;i<source.size();i++)
+ {
+ if ((new_item=(E *)malloc(sizeof(E)))==NULL)
+ show_message(7);
+ (*new_item)=*(source.get_at(i).useful_data);
+ append(*new_item);
+ }
+ }
+ return *this;
+ }
+
+ // Invert the order of items in the list
+ Rlist<E>& invert()
+ {
+ Rlist_item<E> *present,*interchange;
+
+ present=first;
+
+ for (int i=0;i<size();i++)
+ {
+ interchange=present->next;
+ present->next=present->previous;
+ present->previous=interchange;
+ present=interchange;
+ }
+ interchange=first;
+ first=last;
+ last=interchange;
+ return (*this);
+ }
+}; // end of class
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/States.cc b/ProyectoFinal/AlgoritmoGenetico/malva/src/States.cc
new file mode 100644
index 0000000..f36d197
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/States.cc
@@ -0,0 +1,228 @@
+/******************************************************************************
+ Modified by Carlos Cotta Porras
+ April 2001
+
+ Modified by G.J.L.P
+******************************************************************************/
+
+
+#include <string.h>
+#include "States.hh"
+
+// Methods of class State_Vble
+
+ // constructors
+ State_Vble ::State_Vble ()
+ {
+ name=NULL;
+ nitems=0;
+ length=0;
+ content=NULL;
+ }
+
+ State_Vble ::State_Vble (const char *st_name)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ }
+
+ State_Vble::State_Vble (const char *st_name,StateCenter& sc)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ sc.add(*this);
+ }
+
+ State_Vble ::State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ set_contents(new_contents,new_nitems,new_length);
+ }
+
+ State_Vble ::State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length,StateCenter& sc)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ set_contents(new_contents,new_nitems,new_length);
+ sc.add(*this);
+ }
+
+
+ // Set the name of a state vble.
+ void State_Vble ::set_name (const char* st_name) // Set the name of a state vble.
+ {
+ if (name!=NULL)
+ free(name);
+ name=strdup(st_name);
+ }
+
+ // Get the name of a state vble.
+ char* State_Vble ::get_name () const // Get the name of a state vble.
+ {
+ return name;
+ }
+
+ // Number of basic items
+ unsigned long State_Vble ::get_nitems() const // Number of basic items
+ {
+ return nitems;
+ }
+
+ // Get the total number of bytes
+ unsigned long State_Vble ::get_length () const // Get the total number of bytes
+ {
+ return length;
+ }
+
+ // Fill up a state vble.
+ void State_Vble ::set_contents (const char *new_contents, unsigned long new_nitems, unsigned long new_length)
+ {
+ if (content!=NULL)
+ free(content);
+ content=(char *)malloc(new_nitems * new_length);
+ memcpy(content,new_contents,(new_nitems*new_length));
+ nitems=new_nitems;
+ length=new_length;
+ }
+
+ // Obtain the contents of a state vble.
+ void *State_Vble ::get_contents (char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const
+ {
+ memcpy(read_contents,content,nitems * length);
+ read_nitems=nitems;
+ read_length=length;
+ return NULL;
+ }
+
+ ostream& operator<< (ostream& os,const State_Vble& st)
+ {
+ os << endl << st.name
+ << endl << st.nitems
+ << endl << st.length
+ << endl << st.content;
+
+ return os;
+ }
+
+ State_Vble ::~State_Vble ()
+ {
+ free(content);
+ free(name);
+ }
+
+// Methods of class StateCenter
+
+ StateCenter::StateCenter():state_variables()
+ {}
+
+ // searchs a state variable
+ State_Vble *StateCenter::find(const char *st_name) const
+ {
+ Rlist_item<State_Vble> *current_state=state_variables.get_first();
+
+ for (int i=0;i<state_variables.size();i++)
+ {
+ if (!(strcmp(current_state->data().get_name(),st_name)))
+ return &(current_state->data());
+ current_state=¤t_state->next_item();
+ }
+ return NULL;
+ }
+
+ // Add one state variable
+ void StateCenter::add(State_Vble& st)
+ {
+ State_Vble *found_state=find(st.get_name());
+ if (found_state==NULL)
+ state_variables.append(st);
+ else
+ cout << endl << "You are trying to introduce a state variable that is yet used in the skeleton !!" << st.get_name();
+ }
+
+ void StateCenter::add(State_Vble *st)
+ {
+ State_Vble *found_state=find(st->get_name());
+ if (found_state==NULL)
+ state_variables.append(*st);
+ else
+ cout << endl << "You are trying to introduce a state variable that is yet used in the skeleton !!" << st->get_name();
+ }
+
+ // Remove one state variable
+ void StateCenter::remove(const char* st_name)
+ {
+ State_Vble *found_state=find(st_name);
+ if (found_state!=NULL)
+ state_variables.delete_item_1(*found_state);
+ }
+
+ // Update the contents of one vble.
+ void StateCenter::update(const char* st_name, const State_Vble& st) const // Update the contents of one vble.
+ {
+ State_Vble *found_state=find(st_name);
+ if (found_state!=NULL)
+ {
+ char *a=(char *)malloc(found_state->get_nitems() * found_state->get_length());
+ unsigned long nitems,length;
+ st.get_contents(a,nitems,length);
+ found_state->set_contents(a,nitems,length);
+ free(a);
+ }
+ }
+
+ // Get a vble. with a given name
+ State_Vble& StateCenter::get(const char* st_name) const // Get a vble. with a given name
+ {
+ State_Vble *found_state=find(st_name);
+ return *found_state;
+ }
+
+ // Allows an easy iterated extraction
+ State_Vble* StateCenter::get_next(const State_Vble& st) const
+ {
+ State_Vble *found_state=find(st.get_name());
+ if (found_state==NULL) return NULL;
+ if ( state_variables.get_at(state_variables.get_position(*found_state)).is_last()) return NULL;
+ else return &(state_variables.get_at(state_variables.get_position(*found_state)).next_item().data());
+ }
+
+ // returns the number of state variables
+ unsigned int StateCenter::size() const
+ {
+ return state_variables.size();
+ }
+
+ // Obtain the contents of a state vble. of name st_name
+ void StateCenter::get_contents_state_variable(const char *st_name,char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const
+ {
+ get(st_name).get_contents(read_contents,read_nitems,read_length);
+ }
+
+ // Fill up a state vble.of name st_name
+ void StateCenter::set_contents_state_variable(const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length) const
+ {
+ get(st_name).set_contents(new_contents,new_nitems,new_length);
+ }
+
+ void StateCenter::removeAll()
+ {
+ while(state_variables.get_first())
+ {
+ Rlist_item<State_Vble>* v = state_variables.get_first();
+ remove(v->useful_data->get_name());
+ }
+ }
+
+ StateCenter::~StateCenter()
+ {
+ removeAll();
+ }
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/States.hh b/ProyectoFinal/AlgoritmoGenetico/malva/src/States.hh
new file mode 100644
index 0000000..e3a215f
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/States.hh
@@ -0,0 +1,64 @@
+/********************************************************************************************************
+*** ***
+*** Class StateCenter: Pool of state variables for skeletons ***
+*** ***
+*** Class State_Vble: State Variable of a skeleton ***
+*** ***
+*********************************************************************************************************/
+
+#ifndef STATE_CENTER
+#define STATE_CENTER 1
+
+#include "Rlist.h"
+#include <iostream>
+
+class StateCenter;
+
+class State_Vble
+{
+ private:
+ char *name;
+ unsigned long nitems;
+ unsigned long length;
+ char *content;
+
+ public:
+ // constructors
+ State_Vble ();
+ State_Vble (const char *st_name);
+ State_Vble (const char *st_name,StateCenter& sc);
+ State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length);
+ State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length,StateCenter& sc);
+
+ void set_name (const char* st_name); // Set the name of a state vble.
+ char* get_name () const; // Get the name of a state vble.
+ unsigned long get_nitems() const;
+ unsigned long get_length () const; // Get the total number of bytes
+ void set_contents (const char *new_contents, unsigned long new_nitems, unsigned long new_length); // Fill up a state vble.
+ void *get_contents (char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const; // Obtain the contents of a state vble.
+ friend ostream& operator<< (ostream& os,const State_Vble& st);
+ ~State_Vble ();
+};
+
+class StateCenter
+{
+ private:
+ Rlist<State_Vble> state_variables;
+
+ public:
+ StateCenter();
+ State_Vble *find(const char *st_name) const; // search a state variable
+ void add(State_Vble& st); // Add one state variable
+ void add(State_Vble *st); // Add one state variable
+ void remove(const char* st_name); // Remove one state variable
+ void removeAll(); // Removes all variables
+ void update(const char* st_name, const State_Vble& st) const; // Update the contents of one vble.
+ State_Vble& get(const char* st_name) const; // Get a vble. with a given name
+ State_Vble* get_next(const State_Vble& st) const; // Allows an easy iterated extraction
+ unsigned int size() const; // returns the number of state variables
+ void get_contents_state_variable(const char *st_name,char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const; // Obtain the contents of a state vble. of name st_name
+ void set_contents_state_variable(const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length) const; // Fill up a state vble.of name st_name
+ ~StateCenter();
+};
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/States.o b/ProyectoFinal/AlgoritmoGenetico/malva/src/States.o
new file mode 100644
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/mallba.hh b/ProyectoFinal/AlgoritmoGenetico/malva/src/mallba.hh
new file mode 100644
index 0000000..e4a35c0
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/mallba.hh
@@ -0,0 +1,26 @@
+/*****************************************************************************
+*** ***
+*** Este fichero hace algunas declaraciones y declara algunos tipos comu- ***
+*** nes a todos los algoritmos implementados. ***
+*** ***
+*****************************************************************************/
+
+#ifndef INC_mallba_hh
+#define INC_mallba_hh
+
+#define skeleton namespace
+#define requires
+#define provides
+#define hybridizes(x)
+#define inherits typedef
+#define as
+
+enum Direction { minimize=-1,maximize=1};
+
+extern const double plus_infinity;
+extern const double minus_infinity;
+
+#define false 0
+#define true 1
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.cc b/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.cc
new file mode 100644
index 0000000..932e89e
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.cc
@@ -0,0 +1,380 @@
+/***************************************************************************
+ *** netstream.cc ***
+ *** v1.6 - July 2001 ***
+ ** ***
+ *** v1.5 - March 2001 ***
+ *** v1.0 - November 2000 ***
+ *** ***
+ *** v1.5 extends v1.0: ***
+ *** .- Changes metods init() and finalize() to be static ***
+ *** .- Incorporates process group management ***
+ *** .- Do not consider LEDA anymore ***
+ *** .- Contains a method "int my_pid()" for easy invokations ***
+ *** .- Adds "unsigned" and "long double" input/output ***
+ *** ***
+ *** v1.6 extends v1.5: ***
+ ** .- Internal in/out buffers for packed separated ***
+ *** ***
+ *** Communication services for LAN/WAN use following the message ***
+ *** passing paradigm. ***
+ *** STREAM C++ VERSION ***
+ *** MPI implementation ***
+ *** Developed by Erique Alba ***
+ ***************************************************************************/
+#include "netstream.hh"
+// Default constructor
+NetStream::NetStream()
+{
+ this->reset(); // Reset to default values member variables
+ packin_buffer = new char[MAX_PACK_BUFFER_SIZE];
+ packout_buffer = new char[MAX_PACK_BUFFER_SIZE];
+}
+// Init the underlying communication library (MPI)
+NetStream::NetStream (int argc, char ** argv)
+{
+ init(argc,argv);
+ this->reset();
+ packin_buffer = new char[MAX_PACK_BUFFER_SIZE];
+ packout_buffer = new char[MAX_PACK_BUFFER_SIZE];
+}
+// Default destructor
+NetStream::~NetStream()
+{
+ delete [] packin_buffer; delete [] packout_buffer;
+ this->reset();
+}
+// Give default values to member variables
+void NetStream::reset(void)
+{
+ default_target = default_source = 0;
+ pack_in_progress = false;
+ packin_index = packout_index = 0;
+ pending_input_packet = false;
+ pack_in = pack_out = false;
+ broadcast = false;
+ my_communicator = MPI_COMM_WORLD;
+}
+// Init the communication system. Invoke it only ONCE
+void NetStream::init(int argc, char** argv)
+{
+ static bool system_up = false; // Is MPI already running?
+ if (!system_up)
+ { MPI_Init(&argc,&argv);
+ system_up = true;
+ }
+}
+// Shutdown the communication system. Invoke it ONCE
+void NetStream::finalize(void)
+{
+ MPI_Finalize(); // Unconditional Finalization
+}
+// BASIC INPUT/OUTPUT SERVICES
+// ===================================================================================
+
+NetStream& NetStream::operator>> (bool& d)
+{ rcv(&d,1,NET_BOOL,default_source); return(*this); }
+
+NetStream& NetStream::operator<< (bool d)
+{ send(&d,1,NET_BOOL,default_target); return(*this); }
+NetStream& NetStream::operator>> (char& d)
+{ rcv(&d,1,NET_CHAR,default_source); return(*this); }
+NetStream& NetStream::operator<< (char d)
+{ send(&d,1,NET_CHAR,default_target); return(*this); }
+NetStream& NetStream::operator>> (short& d)
+{ rcv(&d,1,NET_SHORT,default_source); return(*this); }
+NetStream& NetStream::operator<< (short d)
+{ send(&d,1,NET_SHORT,default_target); return(*this); }
+NetStream& NetStream::operator>> (int& d)
+{ rcv(&d,1,NET_INT,default_source); return(*this); }
+NetStream& NetStream::operator<< (int d)
+{ send(&d,1,NET_INT,default_target); return(*this); }
+NetStream& NetStream::operator>> (long& d)
+{ rcv(&d,1,NET_LONG,default_source); return(*this); }
+NetStream& NetStream::operator<< (long d)
+{ send(&d,1,NET_LONG,default_target); return(*this); }
+NetStream& NetStream::operator>> (float& d)
+{ rcv(&d,1,NET_FLOAT,default_source); return(*this); }
+NetStream& NetStream::operator<< (float d)
+{ send(&d,1,NET_FLOAT,default_target); return(*this); }
+NetStream& NetStream::operator>> (double& d)
+{ rcv(&d,1,NET_DOUBLE,default_source); return(*this); }
+NetStream& NetStream::operator<< (double d)
+{ send(&d,1,NET_DOUBLE,default_target); return(*this); }
+NetStream& NetStream::operator>> (char* d)
+{ rcv(d,MAX_MSG_LENGTH,NET_CHAR,default_source); return(*this); }
+NetStream& NetStream::operator<< (char* d)
+{ send(d,strlen(d)+1,NET_CHAR,default_target); return(*this); }
+NetStream& NetStream::operator>> (void* d)
+{ rcv(d,MAX_MSG_LENGTH,NET_CHAR,default_source); return(*this); }
+NetStream& NetStream::operator<< (void* d)
+{ send(d,strlen((char*)d)+1,NET_CHAR,default_target); return(*this); }
+// Extended data types from version 1.5 on
+NetStream& NetStream::operator>> (unsigned char& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED_CHAR,default_source);return(*this); }
+
+NetStream& NetStream::operator<< (unsigned char d)
+{ send(&d,1,NET_UNSIGNED_CHAR,default_target); return(*this); }
+NetStream& NetStream::operator>> (unsigned short int& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED_SHORT,default_source);return(*this); }
+NetStream& NetStream::operator<< (unsigned short int d)
+{ send(&d,1,NET_UNSIGNED_SHORT,default_target); return(*this); }
+NetStream& NetStream::operator>> (unsigned int& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED,default_source); return(*this); }
+
+NetStream& NetStream::operator<< (unsigned int d)
+{ send(&d,1,NET_UNSIGNED,default_target); return(*this); }
+NetStream& NetStream::operator>> (unsigned long int& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED_LONG,default_source);return(*this); }
+
+NetStream& NetStream::operator<< (unsigned long int d)
+{ send(&d,1,NET_UNSIGNED_LONG,default_target); return(*this); }
+NetStream& NetStream::operator>> (long double& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_LONG_DOUBLE,default_source); return(*this); }
+
+NetStream& NetStream::operator<< (long double d)
+{ send(&d,1,NET_LONG_DOUBLE,default_target); return(*this); }
+// SET-GET TARGET AND SOURCE PROCESSES
+NetStream& __set_target(NetStream& n, const int p) { return n._set_target(p); }
+NetStream& NetStream::_set_target(const int p)
+{ assert(p>=0); default_target = p; return (*this); }
+NetStream& __get_target(NetStream& n, int* p) { return n._get_target(p); }
+NetStream& NetStream::_get_target(int* p)
+{ *p = default_target; return (*this); }
+NetStream& __set_source(NetStream& n, const int p) { return n._set_source(p); }
+NetStream& NetStream::_set_source(const int p)
+{ /*assert(p>=0);*/ default_source = p; return (*this); }
+NetStream& __get_source(NetStream& n, int* p) { return n._get_source(p); }
+NetStream& NetStream::_get_source(int* p)
+{ *p = default_source; return (*this); }
+// Get the number of processes involved in the communications
+int NetStream::pnumber(void)
+{ int numprocs, rvalue;
+ rvalue = MPI_Comm_size(my_communicator,&numprocs);
+ assert(rvalue==MPI_SUCCESS);
+ return numprocs;
+}
+// MANIPULATORS: SYNCHRONIZATION AND PACKING SERVICES
+// ===================================================================================
+// Get the process ID [0, 1, 2, ...] fro the calling process
+NetStream& __my_pid(NetStream& n, int* pid)
+{
+ return n._my_pid(pid);
+}
+NetStream& NetStream::_my_pid(int* pid)
+{
+ MPI_Comm_rank(my_communicator,pid);
+ return (*this);
+}
+// EASY access to rank - Returns the process ID of the calling process
+int NetStream::my_pid(void)
+{ int pid;
+ this->_my_pid(&pid);
+ return pid;
+}
+// Sit and wait until all processes are in the same barrier
+// Can be used as a MANIPULATOR
+NetStream& barrier(NetStream& n)
+{
+ return n._barrier();
+}
+NetStream& NetStream::_barrier(void)
+{ int status;
+ status = MPI_Barrier(my_communicator);
+ assert(status==MPI_SUCCESS);
+ return (*this);
+}
+// Wait for an incoming message in any input stream
+NetStream& NetStream::_wait(const int stream_type) // class
+{
+ int rvalue;
+ MPI_Status status;
+ assert(stream_type==regular||stream_type==packed||stream_type==any);
+ if( ((stream_type==packed) || (stream_type==any) )&& (pending_input_packet) )
+ //if( (stream_type==packed) && (pending_input_packet) )
+ return (*this); // wait befor packet_begin when already received
+ rvalue = MPI_Probe(default_source,stream_type,my_communicator,&status);
+ assert(rvalue==MPI_SUCCESS);
+ return (*this);
+}
+
+NetStream& NetStream::_wait2(const int stream_type, int& tipo) // class
+{
+ int rvalue;
+ MPI_Status status;
+ assert(stream_type==regular||stream_type==packed||stream_type==any);
+ if( ((stream_type==packed) || (stream_type==any) )&& (pending_input_packet) )
+ //if( (stream_type==packed) && (pending_input_packet) )
+ return (*this); // wait befor packet_begin when already received
+ rvalue = MPI_Probe(default_source,stream_type,my_communicator,&status);
+ assert(rvalue==MPI_SUCCESS);
+ if (status.MPI_SOURCE == 0){
+ tipo = 1;
+ }
+ return (*this);
+}
+NetStream& __wait(NetStream& n, const int stream_type) // helper
+{
+ return n._wait(stream_type);
+}
+// Marks the beginning of a packed information
+NetStream& pack_begin(NetStream& n)
+{
+ return n._pack_begin();
+}
+NetStream& NetStream::_pack_begin(void)
+{
+ int rvalue=MPI_SUCCESS;
+ MPI_Status status;
+ if(!pack_in_progress)
+ { pack_in_progress = true;
+ packin_index = packout_index = 0;
+ pack_in = false;
+ pack_out = false;
+ if (!pending_input_packet)
+ { _probe(packed,pending_input_packet);
+ if(pending_input_packet)
+ rvalue = MPI_Recv(packin_buffer, MAX_PACK_BUFFER_SIZE, NET_PACKED,
+ default_source, PACKED_STREAM_TAG, my_communicator, &status);
+ }
+ }
+ return (*this);
+}
+// Marks the end of a packed and flush it to the net
+NetStream& pack_end(NetStream& n)
+{
+ return n._pack_end();
+}
+NetStream& NetStream::_pack_end(void)
+{
+ int rvalue, mypid;
+ if (pack_in_progress)
+ {
+ if(pack_out)
+ { if(broadcast) // Packet broadcast
+ { broadcast = false;
+ _my_pid(&mypid);
+ rvalue = MPI_Bcast(packout_buffer,packout_index,NET_PACKED,
+ mypid,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ }
+ else
+ { rvalue = MPI_Send(packout_buffer, packout_index, NET_PACKED,
+ default_target,PACKED_STREAM_TAG,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ }
+ }
+ pack_in_progress = false;
+ pack_in = pack_out = false;
+ packin_index = packout_index = 0 ;
+ }
+ return (*this);
+}
+// Check whether there are awaiting data
+NetStream& probe(NetStream& n, const int stream_type, int& pending)
+{
+ return n._probe(stream_type, pending);
+}
+NetStream& NetStream::_probe(const int stream_type, int& pending)
+{
+ MPI_Status status;
+ int rvalue;
+ assert(stream_type==regular||stream_type==packed||stream_type==any);
+ rvalue = MPI_Iprobe(default_source,stream_type,my_communicator,&pending,&status);
+ assert(rvalue==MPI_SUCCESS);
+ return (*this);
+}
+// Broadcast a message to all the processes
+NetStream& broadcast(NetStream& n)
+{
+ return n._broadcast();
+}
+NetStream& NetStream::_broadcast(void)
+{
+ broadcast = true;
+ return (*this);
+}
+// PRIVATE SERVICES
+// ===================================================================================
+// Usually, the length is the number of bytes for every net type
+// When packing we must use in the pack calls the numer of items (length divided by type size)
+// Any char is encoded with a leading field of length
+void NetStream::send(void* d, const int len, const NET_TYPE type, const int target)
+{
+ int rvalue = MPI_SUCCESS, length = len;
+ // PACKING SERVICE
+ if(pack_in_progress)
+ {
+ pack_out = true;
+ assert(pack_out!=pack_in); // Error condition
+ if(type==NET_CHAR)
+ send(&length,sizeof(NET_INT),NET_INT,target); // Recursive call to store string length
+ else
+ length = 1;
+ rvalue = MPI_Pack(d,length,type,packout_buffer,MAX_PACK_BUFFER_SIZE,&packout_index,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ return;
+ }
+ if(broadcast) // Regular broadcast, packed broadcast managed in _pack_end()
+ { int mypid;
+
+ broadcast = false;
+ _my_pid(&mypid);
+ rvalue = MPI_Bcast(d,len,type,mypid,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ return;
+ }
+ rvalue = MPI_Send(d,len,type,target,REGULAR_STREAM_TAG,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+}
+void NetStream::rcv (void* d, const int len, const NET_TYPE type, const int source)
+{ MPI_Status status;
+ int rvalue = MPI_SUCCESS, length=len;
+ if(pack_in_progress)
+ {
+// if(!pack_in && !pending_input_packet)
+// rvalue = MPI_Recv(packin_buffer, MAX_PACK_BUFFER_SIZE, NET_PACKED,
+// default_source, PACKED_STREAM_TAG, my_communicator, &status);
+ pack_in = true;
+ pending_input_packet = false;
+ assert(pack_out!=pack_in);
+ if(type==NET_CHAR)
+ rcv(&length,sizeof(NET_INT),NET_INT,source); // Gets the string length
+ else
+ length = 1;
+ rvalue = MPI_Unpack(packin_buffer, MAX_PACK_BUFFER_SIZE, &packin_index, d,
+ length, type, my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ return;
+ }
+
+ rvalue=MPI_Recv(d,len,type,source,REGULAR_STREAM_TAG,my_communicator,&status);
+ assert(status.MPI_ERROR==MPI_SUCCESS);
+ assert(rvalue==MPI_SUCCESS);
+}
+/////////////////////////////////////// GROUP MANAGEMENT ////////////////////////////////
+// Set the netstream to a new communicator
+void NetStream::set_communicator(NET_Comm comm)
+{
+ my_communicator = comm;
+}
+// Get the present communicator in this netstream
+NET_Comm NetStream::get_communicator(void)
+{
+ return my_communicator;
+}
+// Create a new group inside the present communicator
+NET_Comm NetStream::create_group(NET_Comm comm, int color, int key)
+{ int rvalue;
+ NET_Comm newcomm;
+ rvalue=MPI_Comm_split(comm,color,key,&newcomm);
+ assert(rvalue==MPI_SUCCESS);
+ return newcomm;
+}
+// Create a bridge between local and remote MATCHING call
+NET_Comm NetStream::create_inter_group(NET_Comm lcomm, int lrank, NET_Comm bcomm, int rrank, int strtype)
+{ int rvalue;
+ NET_Comm newcomm;
+ rvalue=MPI_Intercomm_create(lcomm,lrank,bcomm,rrank,strtype,&newcomm);
+ assert(rvalue==MPI_SUCCESS);
+ return newcomm;
+}
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.hh b/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.hh
new file mode 100644
index 0000000..5c24a3d
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.hh
@@ -0,0 +1,161 @@
+/***************************************************************************
+ *** netstream.cc ***
+ *** v1.6 - July 2001 ***
+ ** ***
+ *** v1.5 - March 2001 ***
+ *** v1.0 - November 2000 ***
+ *** ***
+ *** v1.5 extends v1.0: ***
+ *** .- Changes metods init() and finalize() to be static ***
+ *** .- Incorporates process group management ***
+ *** .- Do not consider LEDA anymore ***
+ *** .- Contains a method "int my_pid()" for easy invokations ***
+ *** .- Adds "unsigned" and "long double" input/output ***
+ *** ***
+ *** v1.6 extends v1.5: ***
+ ** .- Internal in/out buffers for packed separated ***
+ *** ***
+ *** Communication services for LAN/WAN use following the message ***
+ *** passing paradigm. ***
+ *** STREAM C++ VERSION ***
+ *** MPI implementation ***
+ *** Developed by Erique Alba ***
+ ***************************************************************************/
+#ifndef INC_netstream
+#define INC_netstream
+#include "mpi.h"
+#include <assert.h>
+#include <string.h>
+// Class NetStream allows to define and use network streams trhough LAN and WAN
+#define REGULAR_STREAM_TAG 0 // Used for tagging MPI regular messages
+#define PACKED_STREAM_TAG 1 // Used for tagging MPI packet messages
+#define NET_TYPE MPI_Datatype // Network allowable data types
+#define NET_BOOL MPI_CHAR // Bools like chars
+#define NET_CHAR MPI_CHAR
+#define NET_SHORT MPI_SHORT
+#define NET_INT MPI_INT
+#define NET_LONG MPI_LONG
+#define NET_UNSIGNED_CHAR MPI_UNSIGNED_CHAR
+#define NET_UNSIGNED_SHORT MPI_UNSIGNED_SHORT
+#define NET_UNSIGNED MPI_UNSIGNED
+#define NET_UNSIGNED_LONG MPI_UNSIGNED_LONG
+#define NET_FLOAT MPI_FLOAT
+#define NET_DOUBLE MPI_DOUBLE
+#define NET_LONG_DOUBLE MPI_LONG_DOUBLE
+#define NET_BYTE MPI_BYTE
+#define NET_PACKED MPI_PACKED
+#define NET_Comm MPI_Comm
+#define MAX_MSG_LENGTH 204800 // Max length of a message
+#define MAX_PACK_BUFFER_SIZE 204800 // Max length of a packed message
+// Help structure for manipulators having one int& argument
+class NetStream;
+struct smanip1c // "const int"
+{ NetStream& (*f)(NetStream&, const int); // The ONE argument function
+ int i; // The argument
+ smanip1c( NetStream&(*ff)(NetStream&,const int), int ii) : f(ff), i(ii) {} // Constuctor
+};
+struct smanip1 // "int*" note: references do not work! "int&"
+{ NetStream& (*f)(NetStream&, int*); // The ONE argument function
+ int* i; // The argument
+ smanip1( NetStream&(*ff)(NetStream&, int*), int* ii) : f(ff), i(ii) {} // Constuctor
+};
+// Tags for the available streams
+const int any = MPI_ANY_TAG; // Tag value valid for any stream
+const int regular = REGULAR_STREAM_TAG; // Tag value for regular stream of data
+const int packed = PACKED_STREAM_TAG; // Tag value for packed stream of data
+// Tags for sources
+const int any_source = MPI_ANY_SOURCE; // Tag value valid for any source
+class NetStream
+{
+ public:
+ NetStream (); // Default constructor
+ // Constructor with source integer left unchanged
+ NetStream (int, char **); // Init the communications
+ ~NetStream (); // Default destructor
+ static void init(int,char**); // Init the communication system. Invoke it only ONCE
+ static void finalize(void); // Shutdown the communication system. Invoke it ONCE
+ // GROUP management
+ void set_communicator(NET_Comm comm); // Set the netstream to a new communicator
+ NET_Comm get_communicator(void); // Get the present communicator in this netstream
+ static NET_Comm create_group(NET_Comm comm, int color, int key); // Create a new group inside the present communicator
+ // Create a bridge between local and remote MATCHING call
+ static NET_Comm create_inter_group(NET_Comm lcomm, int lrank, NET_Comm bcomm, int rrank, int strtrype);
+
+// BASIC INPUT SERVICES <comments> BASIC OUTPUT SERVICES
+// ============================================================================================================
+ NetStream& operator>> (bool& d); NetStream& operator<< (bool d);
+ NetStream& operator>> (char& d); NetStream& operator<< (char d);
+ NetStream& operator>> (short& d); NetStream& operator<< (short d);
+ NetStream& operator>> (int& d); NetStream& operator<< (int d);
+ NetStream& operator>> (long& d); NetStream& operator<< (long d);
+ NetStream& operator>> (float& d); NetStream& operator<< (float d);
+ NetStream& operator>> (double& d); NetStream& operator<< (double d);
+ NetStream& operator>> (char* d); /*NULL terminated*/ NetStream& operator<< (char* d);
+ NetStream& operator>> (void* d); /*NULL terminated*/ NetStream& operator<< (void* d);
+ // Extended data types from version 1.5 on
+ NetStream& operator>> (unsigned char& d); NetStream& operator<< (unsigned char d);
+ NetStream& operator>> (unsigned short int& d); NetStream& operator<< (unsigned short int d);
+ NetStream& operator>> (unsigned int& d); NetStream& operator<< (unsigned int d);
+ NetStream& operator>> (unsigned long int& d); NetStream& operator<< (unsigned long int d);
+ NetStream& operator>> (long double& d); NetStream& operator<< (long double d);
+ int pnumber(void); // Returns the number of processes
+ bool broadcast; // Determines whether the next sent message is for broadcasting
+ // Input MANIPULATORS for modifying the behavior of the channel on the fly
+ // NO ARGUMENTS
+ NetStream& operator<< (NetStream& (*f)(NetStream& n)) { return f(*this); } // NO arguments
+ NetStream& _barrier(void); // Sit and wait until all processes are in barrier
+ NetStream& _pack_begin(void); // Marks the beginning of a packed information
+ NetStream& _pack_end(void); // Marks the end of a packed and flush it to the net
+ NetStream& _probe(const int stream_type, int& pending); // Check whether there are awaiting data
+ NetStream& _broadcast(void); // Broadcast a message to all the processes
+ // ONE ARGUMENT
+ // "const int"
+ NetStream& operator<< (smanip1c m) { return m.f((*this),m.i); }// ONE int& argument constant
+ // "int*"
+ NetStream& operator<< (smanip1 m) { return m.f((*this),m.i); }// ONE int& argument
+ // BASIC CLASS METHODS FOR MANIPULATORS
+ NetStream& _my_pid(int* pid); // Returns the process ID of the calling process
+ NetStream& _wait(const int stream_type); // Wait for an incoming message in the specified stream
+ NetStream& _wait2(const int stream_type, int& tipo);
+ NetStream& _set_target(const int p); // Stablish "p" as the default receiver
+ NetStream& _get_target(int* p); // Get into "p" the default receiver
+ NetStream& _set_source(const int p); // Stablish "p" as the default transmitter
+ NetStream& _get_source(int* p); // Get into "p" the default transmitter
+ // AUXILIAR PUBLIC METHODS FOR ALLOWING EASY MANAGEMENTS OF NETSTREAMS
+ int my_pid(void); // Returns the process ID of the calling process
+ private:
+ int default_target, default_source; // Default process IDs to send-recv data to-from
+ bool pack_in_progress; // Defines whether a packet is being defined with "pack_begin-pack_end"
+ int packin_index; // Index to be used for extracting from a IN packed message - v1.6
+ int packout_index; // Index to be used for adding to an OUT packed message - v1.6
+ int pending_input_packet;//Is there a pending packet already read into the IN buffer? - v1.6
+ char* packin_buffer; // Buffer to temporary storage of the IN packed being defined - v1.6
+ char* packout_buffer; // Buffer to temporary storage of the OUT packed being defined - v1.6
+ bool pack_in, pack_out; // Define whether input-output packed message is being used
+ void reset(void); // Reset member variables of this class
+ NET_Comm my_communicator; // Communicator of this netstream
+ void send(void* d, const int len, const NET_TYPE type, const int target);
+ void rcv (void* d, const int len, const NET_TYPE type, const int source);
+}; // class NetStream
+ // MANIPULATORS (must be static or non-member methods in C++ -mpiCC only allows non-member!-)
+ // NO ARGUMENTS
+ NetStream& barrier(NetStream& n); // Sit and wait until all processes are in barrier
+ NetStream& broadcast(NetStream& n); // Broadcast a message to all the processes
+ NetStream& pack_begin(NetStream& n); // Marks the beginning of a packed information
+ NetStream& pack_end(NetStream& n); // Marks the end of a packed and flush it to the net
+ // ONE ARGUMENT
+ NetStream& __my_pid(NetStream& n, int* pid); // Returns the process ID of the calling process
+ inline smanip1 my_pid(int* pid){ return smanip1(__my_pid,pid); } // manipulator
+ NetStream& __wait(NetStream& n, const int stream_type);// Wait for an incoming message - helper
+ inline smanip1c wait(const int stream_type){ return smanip1c(__wait,stream_type); } // manipulator
+ NetStream& __set_target(NetStream& n, const int p); // Stablish "p" as the default receiver
+ inline smanip1c set_target(const int p){ return smanip1c(__set_target,p); } // manipulator
+ NetStream& __get_target(NetStream& n, int* p); // Get into "p" the default receiver
+ inline smanip1 get_target(int* p){ return smanip1(__get_target,p); } // manipulator
+ NetStream& __set_source(NetStream& n, const int p); // Stablish "p" as the default transmitter
+ inline smanip1c set_source(const int p){ return smanip1c(__set_source,p); } // manipulator
+ NetStream& __get_source(NetStream& n, int* p); // Get into "p" the default transmitter
+ inline smanip1 get_source(int* p){ return smanip1(__get_source,p); } // manipulator
+ // TWO ARGUMENTS - not used yet
+ NetStream& probe(NetStream& n, const int stream_type, int& pending); // Check whether there are awaiting data
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.o b/ProyectoFinal/AlgoritmoGenetico/malva/src/netstream.o
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diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/random.hh b/ProyectoFinal/AlgoritmoGenetico/malva/src/random.hh
new file mode 100644
index 0000000..ae6bde6
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/random.hh
@@ -0,0 +1,50 @@
+/******************************************************************************
+*** ***
+*** Este fichero contiene funciones (en general inlines) para generar núme- ***
+*** ros aleatorios y otras funciones relacionadas con ello ***
+*** ***
+*******************************************************************************/
+
+#ifndef INC_random_hh
+#define INC_random_hh
+
+#include <stdlib.h>
+
+
+inline double undefined ()
+{
+ double zero = 0;
+ return zero/zero;
+}
+
+// Returns a valeu greater than any other
+inline double infinity ()
+{
+ double one=1.0;
+ double zero=0.0;
+ return one/zero;
+}
+
+// Returns a random number in [0,1].
+inline double rand01 ()
+{
+ return drand48();
+}
+
+// Returns a random number
+inline int rand_int (float min,float max)
+{
+ int value=rand();
+ int range= (int)(max - min);
+ int order = value % (range+1);
+ return ((int)min + order);
+}
+
+// selects a seed
+inline void random_seed(long int seed)
+{
+ srand48(seed);
+ srand(seed);
+}
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/src/time.hh b/ProyectoFinal/AlgoritmoGenetico/malva/src/time.hh
new file mode 100644
index 0000000..088f4d5
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/src/time.hh
@@ -0,0 +1,43 @@
+/******************************************************************************
+*** ***
+*** Este fichero incluye algunas funciones útiles para la medicion de tiem- ***
+*** pos. ***
+*** ***
+******************************************************************************/
+
+#ifndef INC_time_hh
+#define INC_time_hh
+
+#define MAXTIME 4294
+
+#include <time.h>
+#include <sys/time.h>
+#include <unistd.h>
+
+// return time in microseconds
+inline float _used_time()
+{
+ struct timeval tv ;
+ static long tiempo = -1;
+ float u_clock;
+
+ gettimeofday(&tv,NULL);
+
+ if(tiempo < 0) tiempo = tv.tv_sec;
+
+ u_clock = ((float)(tv.tv_sec - tiempo)*1000000.0) + ((float)tv.tv_usec);
+ return u_clock;
+
+}
+
+
+inline float _used_time(float time)
+{
+ float dif=_used_time() - time;
+ if (dif<0) dif = 0;
+ return dif;
+}
+
+
+
+#endif
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_aco b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_aco
new file mode 100644
index 0000000..8426ce4
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_aco
@@ -0,0 +1,12 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.worse_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.iter
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $7}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_pop b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_pop
new file mode 100644
index 0000000..8512575
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_pop
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.worse_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.eval
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.iter
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $7}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_pso b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_pso
new file mode 100644
index 0000000..672f857
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_pso
@@ -0,0 +1,12 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.worse_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $4}' > $1.iter
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_sa b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_sa
new file mode 100644
index 0000000..d006462
--- /dev/null
+++ b/ProyectoFinal/AlgoritmoGenetico/malva/stat/file_stat_sa
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.eval
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $4}' > $1.init_temp
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.best_temp
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $7}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/AlgoritmoGenetico/malva/uml-comun.gif b/ProyectoFinal/AlgoritmoGenetico/malva/uml-comun.gif
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new file mode 100644
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@@ -0,0 +1,24 @@
+default:
+ @echo "Make what? (all, libs, skeletons, clean)"
+
+all:
+ (cd inc ; rm -f Mallba)
+ (cd inc ; ./inc.env)
+ (cd src ; make all)
+ (cd lib ; make all)
+ (cd rep ; make all)
+
+libs:
+ (cd inc ; rm -f Mallba)
+ (cd inc ; ./inc.env)
+ (cd src ; make all)
+ (cd lib ; make all)
+
+skeletons:
+ (cd rep ; make all)
+
+clean:
+ (cd inc ; rm -f Mallba)
+ (cd src ; make clean)
+ (cd lib ; make clean)
+ (cd rep ; make clean)
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/br17.atsp b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/br17.atsp
new file mode 100644
index 0000000..37313b1
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/br17.atsp
@@ -0,0 +1,42 @@
+NAME: br17
+TYPE: ATSP
+COMMENT: 17 city problem (Repetto)
+DIMENSION: 17
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
+EDGE_WEIGHT_SECTION
+ 9999 3 5 48 48 8 8 5 5 3 3 0 3 5 8 8
+ 5
+ 3 9999 3 48 48 8 8 5 5 0 0 3 0 3 8 8
+ 5
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+ 24
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+ 12
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+ 12
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+ 8
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+ 0
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+ 0
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+ 5
+ 3 0 3 48 48 8 8 5 5 0 9999 3 0 3 8 8
+ 5
+ 0 3 5 48 48 8 8 5 5 3 3 9999 3 5 8 8
+ 5
+ 3 0 3 48 48 8 8 5 5 0 0 3 9999 3 8 8
+ 5
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+ 24
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+ 8
+ 8 8 50 6 6 0 0 8 8 8 8 8 8 50 0 9999
+ 8
+ 5 5 26 12 12 8 8 0 0 5 5 5 5 26 8 8
+ 9999
+EOF
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ft53.atsp b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ft53.atsp
new file mode 100644
index 0000000..3f81c5b
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ft53.atsp
@@ -0,0 +1,220 @@
+NAME: ft53
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 53
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
+EDGE_WEIGHT_SECTION
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+EOF
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ft70.atsp b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ft70.atsp
new file mode 100644
index 0000000..75cacb6
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ft70.atsp
@@ -0,0 +1,358 @@
+NAME: ft70
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 70
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
+EDGE_WEIGHT_SECTION
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+EOF
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ftv170.atsp b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ftv170.atsp
new file mode 100644
index 0000000..22a978b
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ftv170.atsp
@@ -0,0 +1,4882 @@
+NAME: ftv170
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 171
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
+EDGE_WEIGHT_SECTION
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ftv70.atsp b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ftv70.atsp
new file mode 100644
index 0000000..a966e49
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ftv70.atsp
@@ -0,0 +1,849 @@
+NAME: ftv70
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/rbg323.atsp b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/rbg323.atsp
new file mode 100644
index 0000000..c19aa72
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/rbg323.atsp
@@ -0,0 +1,6467 @@
+NAME: rbg323
+TYPE: ATSP
+COMMENT: Stacker crane application (Ascheuer)
+DIMENSION: 323
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ry48p.atsp b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ry48p.atsp
new file mode 100644
index 0000000..b02a98c
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ATSP-instances/ry48p.atsp
@@ -0,0 +1,200 @@
+NAME: ry48p
+TYPE: ATSP
+COMMENT: Asymmetric TSP (Fischetti)
+DIMENSION: 48
+EDGE_WEIGHT_TYPE: EXPLICIT
+EDGE_WEIGHT_FORMAT: FULL_MATRIX
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+ 417 574 1033
+ 798 1070 476 1489 790 1729 1582 940 954 1562 957 922 957 695 1068
+ 567 1847 1458 1743 1210 1096 627 846 1502 838 1554 1835 1462 709 1766
+ 1195 1150 1063 496 1727 1452 1803 1194 997 833 9999999 1159 1857 1385 1819
+ 1098 1074 907
+ 1536 598 1201 631 449 2195 2058 1776 1767 494 1261 1519 1138 900 1547
+ 1459 2231 1924 2156 1470 993 1388 1175 407 955 569 2225 2090 501 2123
+ 2002 841 1592 988 699 1868 2137 1899 658 1530 1127 9999999 2060 1916 745
+ 1667 1272 510
+ 1176 2389 1379 2717 1694 332 408 1260 1022 2321 1004 879 1079 1384 814
+ 1588 250 496 217 685 1100 1308 1175 1985 1293 2589 236 498 1912 170
+ 709 1428 781 1574 2471 530 212 851 1544 1096 1675 2133 9999999 708 2454
+ 706 907 1672
+ 619 2085 990 2459 1541 520 280 793 507 2204 821 644 1092 1176 420
+ 948 636 231 605 629 1046 945 831 1990 1162 2387 600 416 1766 494
+ 197 1483 420 1173 2410 250 615 445 1441 539 1294 1902 590 9999999 2434
+ 423 757 1531
+ 2281 1127 1889 727 1131 2498 2445 2443 2350 594 1874 2030 1591 1659 2192
+ 2056 2593 2501 2532 1979 1553 2056 1761 577 1529 595 2553 2613 1292 2555
+ 2474 1123 2106 1632 324 2448 2712 2465 1183 2151 1793 795 2542 2526 9999999
+ 2196 1783 1001
+ 584 1919 727 2331 1424 610 491 761 514 1839 455 427 733 833 282
+ 933 769 376 712 433 886 636 694 1782 964 2210 748 583 1400 675
+ 375 1234 152 1078 2279 377 665 332 1160 485 1090 1641 631 415 2342
+ 9999999 645 1281
+ 856 1456 670 1757 900 860 842 1110 831 1365 324 480 335 625 525
+ 981 1008 896 1082 250 274 802 470 1140 486 1609 1062 832 1051 937
+ 914 615 426 857 1856 786 1087 955 560 646 1048 1351 1035 809 1752
+ 679 9999999 811
+ 1209 724 957 1012 248 1750 1558 1373 1393 683 957 1018 588 633 1190
+ 1169 1840 1656 1912 1112 811 1188 873 590 428 984 1759 1682 509 1743
+ 1590 480 1202 703 1134 1594 1913 1515 346 1227 968 537 1714 1616 1145
+ 1371 902 9999999
+EOF
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/pbm.txt b/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/pbm.txt
new file mode 100644
index 0000000..38c5037
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/pbm.txt
@@ -0,0 +1,2 @@
+30
+/Mallba/ProblemInstances/DNAFA-instances/x60189_4.dat
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/score.txt b/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/score.txt
new file mode 100644
index 0000000..ff26d92
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/score.txt
@@ -0,0 +1,39 @@
+ 0 1 0 304 1 1 1 0 7 -163 247 1 2 1 1 0 0 2 0 1 1 1 2 1 1 107 0 1 3 1 1 0 1 286 1 3 0 1 1
+ 1 0 1 1 -3 3 -1 331 -302 2 5 0 1 0 0 -1 -2 -2 2 281 0 -413 1 0 168 -2 2 0 -3 39 412 2 155 1 4 247 274 0 53
+ 0 1 0 -2 225 0 2 1 0 -1 1 178 1 2 -2 -1 -2 -149 -3 -1 -2 2 1 366 -2 4 2 -2 -7 -2 -3 -363 -2 -2 -327 -1 -1 -353 -3
+ 304 1 -2 0 -1 -27 -1 0 -1 -160 327 -3 43 -1 1 4 1 2 1 -1 1 -4 2 1 1 200 -1 1 1 1 1 2 1 283 -1 3 3 1 1
+ 1 -3 225 -1 0 -2 -3 -3 -2 -1 0 1 0 -1 1 -1 -1 -279 -2 -2 2 0 -106 104 -2 1 2 -2 2 -1 -1 -252 0 -1 -65 0 -1 -250 -1
+ 1 3 0 -27 -2 0 1 0 -2 -1 -14 -1 -346 1 -1 6 -88 -1 -241 -2 -1 1 0 1 -2 -276 1 -2 2 -2 -2 1 1 -1 -3 -1 0 3 3
+ 1 -1 2 -1 -3 1 0 0 1 -1 -3 -1 2 -6 -414 0 -1 -2 -1 1 -301 2 99 1 1 1 271 6 1 -1 -1 -2 1 -1 1 -3 -2 -1 -1
+ 0 331 1 0 -3 0 0 0 -302 0 1 0 1 0 0 1 2 2 3 185 0 -317 1 0 72 -4 2 0 0 2 316 2 155 0 0 247 178 0 3
+ 7 -302 0 -1 -2 -2 1 -302 0 -26 2 -1 2 -4 -1 0 -1 -2 -1 -156 -1 288 -2 1 -43 1 1 -2 3 -1 -287 1 -306 -1 1 -377 -149 -1 -1
+ -163 2 -1 -160 -1 -1 -1 0 -26 0 -103 2 1 -1 2 1 0 -1 0 -2 1 -1 -1 1 1 0 0 1 1 2 2 1 76 -289 -2 5 -2 2 2
+ 247 5 1 327 0 -14 -3 1 2 -103 0 1 30 1 1 1 1 0 -2 1 2 0 1 0 -4 187 2 0 0 0 0 0 0 226 1 0 1 2 5
+ 1 0 178 -3 1 -1 -1 0 -1 2 1 0 1 0 -2 -1 1 1 1 2 0 1 2 271 0 1 -1 -4 -309 161 1 -54 0 1 -316 -1 2 -44 23
+ 2 1 1 43 0 -346 2 1 2 1 30 1 0 1 1 1 150 0 303 1 1 0 1 0 0 292 1 0 0 0 0 0 0 -2 1 0 1 1 0
+ 1 0 2 -1 -1 1 -6 0 -4 -1 1 0 1 0 6 260 -251 2 -123 0 6 2 -1 0 0 1 -2 -300 0 2 -1 -2 0 -1 0 -3 -2 0 -1
+ 1 0 -2 1 1 -1 -414 0 -1 2 1 -2 1 6 0 -1 1 1 3 2 301 -2 -79 0 0 1 -251 -6 0 1 1 2 0 1 2 3 2 0 1
+ 0 -1 -1 4 -1 6 0 1 0 1 1 -1 1 260 -1 0 -306 2 -178 1 -2 -1 -1 0 0 -4 -2 -100 0 2 3 -2 0 0 1 1 1 -3 3
+ 0 -2 -2 1 -1 -88 -1 2 -1 0 1 1 150 -251 1 -306 0 2 339 -1 1 -1 -1 1 1 18 -2 91 1 2 3 -2 1 1 -1 1 1 1 3
+ 2 -2 -149 2 -279 -1 -2 2 -2 -1 0 1 0 2 1 2 2 0 -1 -1 1 -1 252 -28 1 2 115 3 1 1 1 176 1 2 -1 1 -1 174 1
+ 0 2 -3 1 -2 -241 -1 3 -1 0 -2 1 303 -123 3 -178 339 -1 0 -1 1 -1 -1 1 1 171 0 1 1 2 2 1 1 1 -2 2 1 2 2
+ 1 281 -1 -1 -2 -2 1 185 -156 -2 1 2 1 0 2 1 -1 -1 -1 0 0 -312 -1 0 324 1 1 -2 2 214 313 1 9 -1 -3 101 310 3 228
+ 1 0 -2 1 2 -1 -301 0 -1 1 2 0 1 6 301 -2 1 1 1 0 0 -2 1 0 0 1 -138 -6 0 1 1 3 0 1 0 3 2 0 1
+ 1 -413 2 -4 0 1 2 -317 288 -1 0 1 0 2 -2 -1 -1 -1 -1 -312 -2 0 1 -2 -199 1 1 -2 0 -70 -443 -2 -141 -2 3 -233 -305 1 -84
+ 2 1 1 2 -106 0 99 1 -2 -1 1 2 1 -1 -79 -1 -1 252 -1 -1 1 1 0 -2 0 2 228 0 -2 0 0 3 -2 2 -1 2 -1 1 0
+ 1 0 366 1 104 1 1 0 1 1 0 271 0 0 0 0 1 -28 1 0 0 -2 -2 0 0 1 -3 0 -100 1 1 -242 0 3 -420 0 2 -232 1
+ 1 168 -2 1 -2 -2 1 72 -43 1 -4 0 0 0 0 0 1 1 1 324 0 -199 0 0 0 1 -3 -2 2 195 200 2 0 1 -3 0 204 3 209
+ 107 -2 4 200 1 -276 1 -4 1 0 187 1 292 1 1 -4 18 2 171 1 1 1 2 1 1 0 0 1 -3 -2 -2 0 1 86 2 3 0 -2 -2
+ 0 2 2 -1 2 1 271 2 1 0 2 -1 1 -2 -251 -2 -2 115 0 1 -138 1 228 -3 -3 0 0 1 1 -1 -1 -1 -3 -1 1 -2 -1 -1 -1
+ 1 0 -2 1 -2 -2 6 0 -2 1 0 -4 0 -300 -6 -100 91 3 1 -2 -6 -2 0 0 -2 1 1 0 2 1 1 2 0 1 0 3 2 0 1
+ 3 -3 -7 1 2 2 1 0 3 1 0 -309 0 0 0 0 1 1 1 2 0 0 -2 -100 2 -3 1 2 0 -141 1 1 0 -3 145 0 0 -3 -3
+ 1 39 -2 1 -1 -2 -1 2 -1 2 0 161 0 2 1 2 2 1 2 214 1 -70 0 1 195 -2 -1 1 -141 0 71 -1 1 1 -1 1 75 1 291
+ 1 412 -3 1 -1 -2 -1 316 -287 2 0 1 0 -1 1 3 3 1 2 313 1 -443 0 1 200 -2 -1 1 1 71 0 -1 140 1 -2 232 306 2 85
+ 0 2 -363 2 -252 1 -2 2 1 1 0 -54 0 -2 2 -2 -2 176 1 1 3 -2 3 -242 2 0 -1 2 1 -1 -1 0 2 2 203 -1 1 378 -1
+ 1 155 -2 1 0 1 1 155 -306 76 0 0 0 0 0 0 1 1 1 9 0 -141 -2 0 0 1 -3 0 0 1 140 2 0 3 0 285 2 0 1
+ 286 1 -2 283 -1 -1 -1 0 -1 -289 226 1 -2 -1 1 0 1 2 1 -1 1 -2 2 3 1 86 -1 1 -3 1 1 2 3 0 -1 3 2 1 1
+ 1 4 -327 -1 -65 -3 1 0 1 -2 1 -316 1 0 2 1 -1 -1 -2 -3 0 3 -1 -420 -3 2 1 0 145 -1 -2 203 0 -1 0 1 -2 193 4
+ 3 247 -1 3 0 -1 -3 247 -377 5 0 -1 0 -3 3 1 1 1 2 101 3 -233 2 0 0 3 -2 3 0 1 232 -1 285 3 1 0 94 -2 1
+ 0 274 -1 3 -1 0 -2 178 -149 -2 1 2 1 -2 2 1 1 -1 1 310 2 -305 -1 2 204 0 -1 2 0 75 306 1 2 2 -2 94 0 -1 89
+ 1 0 -353 1 -250 3 -1 0 -1 2 2 -44 1 0 0 -3 1 174 2 3 0 1 1 -232 3 -2 -1 0 -3 1 2 378 0 1 193 -2 -1 0 2
+ 1 53 -3 1 -1 3 -1 3 -1 2 5 23 0 -1 1 3 3 1 2 228 1 -84 0 1 209 -2 -1 1 -3 291 85 -1 1 1 4 1 89 2 0
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/x60189_4.dat b/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/x60189_4.dat
new file mode 100644
index 0000000..2420540
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/DNAFA-instances/x60189_4.dat
@@ -0,0 +1,78 @@
+>frag0000
+caccatctcaggcctggagccagaccataaatacaagatgaacctgtacggcttccacggtggccagcgcgtgggccccatctctgtcattggggtgacgggtgagtggatgatggcagccccagggtgggagccgtgggagggtcaccctcttgctctttggtgatgactggtggggaatgggccaggggtccggtcagcaccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtcaggagctctgctgtgctggtg
+>frag0001
+agcacagctcttcatcctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcc
+>frag0002
+agggcacattttctagggctgtcttccaaccctgccccacccacactcactcacctgtgacgcccacggcagacaccgggcccaggcgccgcccctcgtggaggccgtacaggtgcatcttgtacttgcgcccaggctccaggcccctcacagtgaccttgctctcctggcccccaacacgcaccgcctggggccgcccgtccctgtccttgtactgcacggtgaaggagtcaaagcggccctgggggacggtccaggaaaggctcagcgagtcaggggaggatcctgtcactgtcagctcccccaggagaggctcctcggggggccctggggctctgtgcctggttctgtagggctgggggtctcgtccacatcctcttgtggggctgaaaggtaatatagggggatacagagtttaagggtttaagggcaacttgctttgctggtgctgtcaacagaggtcatacatcaaatgcgcccctccaga
+>frag0003
+catctcaggcctggagccagaccataaatacaagatgaacctgtacggcttccacggtggccagcgcgtgggccccatctctgtcattggggtgacgggtgagtggatgatggcagccccagggtgggagccgtgggagggtcaccctcttgctctttggtgatgactggtggggaatgggccaggggtccggtcagcaccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtcaggagctctgctgtgctggtggctgtcccagacccccacagctgaccctggaacttgtcatgtgtgttagctgtcagttgagcaggaccacccagccccaagaatgggcttttc
+>frag0004
+gctcagcgagtcaggggaggatcctgtcactgtcagctcccccaggagaggctcctcggggggccctggggctctgtgcctggttctgtagggctgggggtctcgtccacatcctcttgtggggctgaaaggtaatatagggggatacagagtttaagggtttaagggcaacttgctttgctggtgctgtcaacagaggtcatacatcaaatgcgcccctccagagcaggctgagggctggggcagctttgagttcgccgttcagtgactcttggaataagagccggtgaggtatccccgagcccccgactgtactgctggcagagctgcactgttagaaacctccagaaggcaa
+>frag0005
+gcccctgacacgcatcacctggggccgcccgtccctgtccttgtactgcacggtgaaggagtcgaagtggccctgggggatggtccaggagaggctcagcgagtcaggggaggatcctgtcactgtcagctcccccaggagcggctcctcagggggctccggggcctcagtgctgagttccgtggggctgggggtctcttcctctgcagctgagaaaaggagatatagagaggatgccaggtgcctgggggatgtgctcaggtcttcaagggaaggagggagaaaccatggccactactgggtatgtgaggtcatttcagaaaagcccattcttggggctgggtgg
+>frag0006
+gaattcccaacctcaggtgatccacccgcctcggcctcccaaaatgctaggattacaggcgtgaaccactgctcccagcccagaatttcttttttagcccacgtttttctagtgaaaataatacagcaacattatgtggaaagcttgaaaaacagaaaacaagaatctcatagtcctactttctcccccagctgccggcattaataacaatgtgtgtagtgcacattcccttcctgtattttgcatgcagaggctgttttaaagttgcaatcagtgttcataaagttcttggcacttccttttttgtacacaagtacattgtaatcattcacctcacggctacacaaccagcattcatcatcgtttcaatggttatttgatgcgttgcggtgaaagcactataacaaaattaatcatcttctacgggtcatttg
+>frag0007
+agcacagctcttcatcctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccct
+>frag0008
+gctggtgaggagctggatccaggaacacaccccaggctctggcctcgggaggagtgtgctgagcttgttgcggagcaaagacagaagcccagtgaacaaaagatggcgaagagaccccagtgctgggaggccaggggtgcagaggccgagtggggctgtgctcaaaagagaggcggtgctggagggacagggagaggtggcctgggtgttgggaggtgggggtgaggtgggggctgagggcaggagggtcagggtgagggataggaaaggccacaggagaggagaggatgaagagctgtgctggaggggctgtgggcagcatcgtcctgctcttgggcactttgtgttttgtgacacatcctttctatgctgaactgaggagccagggacctcactgtccccacacgtgtctgtccaactccagaggatgaagccgagaccacccaagcagtg
+>frag0009
+ccaaagagcaagagggtgaccctcccacggctcccaccctggggctgccatcatccactcacccgtcaccccaatgacagagatggggcccacgcgctggccaccgtggaagccgtacaggttcatcttgtatttatggtctggctccaggcctgagatggtgaccccgtcctcgtgccccggcacccgcaccgccttgggctgcccatccccattcctgtactggaccaggaagtggtcaaactggccctcgggaaccgtccaggacaggctgagggagtcaggggtggcatctgtcatggtcagctcccccaggcgaggcttgatggggggctcaggggtcatggtaggcactgcttgggtggtctcggcttcat
+>frag0010
+tggccagcgcgtgggccccatctctgtcattggggtgacgggtgagtggatgatggcagccccagggtgggagccgtgggagggtcaccctcttgctctttggtgatgactggtggggaatgggccaggggtccggtcagcaccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtcaggagctctgctgtgctggtggctgtcccagacccccacagctgaccctggaacttgtcatgtgtgttagctgtcagttgagcaggaccacccagccccaa
+>frag0011
+atgctctttctagcctcctggcctttgcaccagctgtgattatctgacacacttcaccttctctctaaagctgtcaccaagctaaggcatgcctggcctcaggtcctggctgtcccctgggtacccatgggcagggtgacttaggcgtccctgtctggtcctgacctgagccctgggcctccctatcacatgctcacccgcctttgcttcatttgctggattgcagcctgtctctccatgacatgtctttccataatgttgctatattcctttcactgtgagccccatcaagacagaaatatgtataggaaaatggtagagaagggcacattttctagggctgtcttccaaccctgccccacccacactcactcacctgtgacgcccacggcagacaccgggcccaggcgccgcccctcgtggaggccgtacaggtgcatcttgtacttgcgcccaggctccaggcccctcacagtgaccttgctctcctggcccccaac
+>frag0012
+tgtcagttgagcaggaccacccagccccaagaatgggcttttctgaaatgacctcacatacccagtagtggccatggtttctccctccttcccttgaagacctgagcacatcccccaggcacctggcatcctctctatatctccttttctcagctgcagaggaagagacccccagccccacggaactcagcactgaggccccggagccccctgaggagccgctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctctcctggaccatcccccagggccacttcgactccttcaccgtgcagtacaaggacagggacgggcggccccaggtgatgcgtgtcaggggcgaggagagcgaggtcaccgtggggggcctggagcccgggcgcaaatacaagatgcacctgta
+>frag0013
+gaattctttgctgaatgaacaaattggcccattggtgagaaaggtctgttcctattcctattccaatagtgggcttccagagtgtgcagtcgacgcgctgcccctcactgccttctgtcttccttcacggcccctagtcaactccacagagaaagcacactaccaggaatcagggacgcagaaaaattctcttcaacagatttcaaaagagggtccaattcctttgtcgtgaagaactttgctactcaaggggcgtgatcatgggccagcagcatccgcatcatttcttgttggaaatgcgagaatctctggccctagcccaaacctgttgaaccccaatctgcctcttagcaagatccccaagcatggaaacgtgcaaaagaagcccggctggtgagaatatttttgttttcatgaagttgcagagaaagcaacatcttctagggccatcttcctcact
+>frag0014
+attaattttgttatagtgctttcaccgcaacgcatcaaataaccattgaaacgatgatgaatgctggttgtgtagccgtgaggtgaatgattacaatgtacttgtgtacaaaaaaggaagtgccaagaactttatgaacactgattgcaactttaaaacagcctctgcatgcaaaatacaggaagggaatgtgcactacacacattgttattaatgccggcagctgggggagaaagtaggactatgagattcttgttttctgtttttcaagctttccacataatgttgctgtattattttcactagaaaaacgtgggctaaaaaagaaattctgggctgggagcagtggttcacgcctgtaatcctagcattttgggaggccgaggcgggtggatcacctgaggttgggaattc
+>frag0015
+tttcaaaagagggtccaattcctttgtcgtgaagaactttgctactcaaggggcgtgatcatgggccagcagcatccgcatcatttcttgttggaaatgcgagaatctctggccctagcccaaacctgttgaaccccaatctgcctcttagcaagatccccaagcatggaaacgtgcaaaagaagcccggctggtgagaatatttttgttttcatgaagttgcagagaaagcaacatcttctagggccatcttcctcactcacaaacactcacctgtcacacccacggtggacaccgggcccacacgccgcccct
+>frag0016
+ctggaccatcccccagggccacttcgactccttcaccgtgcagtacaaggacagggacgggcggccccaggtgatgcgtgtcaggggcgaggagagcgaggtcaccgtggggggcctggagcccgggcgcaaatacaagatgcacctgtacggcctccacgaggggcggcgtgtgggcccggtgtccaccgtgggtgtgacaggtgagtgtttgtgagtgaggaagatggccctagaagatgttgctttctctgcaacttcatgaaaacaaaaatattctcaccagccgggcttcttttgcacgtttccatgcttggggatcttgctaagaggcagattggggttcaacaggtttgggctagggccagagattctcgcatttccaacaagaaatgatgcggatgctgctggcccatgatcacgccccttgagtagcaaagttcttcacgacaaaggaattggaccct
+>frag0017
+ctgctgtcatgaataaccccatcgtgagttcttccatgctataactttttcctgctttaataattttcttaggacagatgcccagaactgggattattgggtcaaaggaaatgagaattactttggctcctgacactatgtctcagttgccttctggaggtttctaacagtgcagctctgccagcagtacagtcgggggctcggggatacctcaccggctcttattccaagagtcactgaacggcgaactcaaagctgccccagccctcagcctgctctggaggggcgcatttgatgtatgacctctgttgacagcaccagcaaagcaagttgcccttaaacccttaaactctgtatccccctatattacctttcagccccacaagaggatgtggacgagacccccagccctacagaaccaggca
+>frag0018
+cctggcatcctctctatatctccttttctcagctgcagaggaagagacccccagccccacggaactcagcactgaggccccggagccccctgaggagccgctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctctcctggaccatcccccagggccacttcgactccttcaccgtgcagtacaaggacagggacgggcggccccaggtgatgcgtgtcaggggcgaggagagcgaggtcaccgtggggggcctggagcccgggcgcaaatacaagatgcacctgtacggcctccacgaggggcggcgtgtgggcccggtgtccaccgtgggtgtgacaggtgagtgtttgtgagtgaggaagatggccctagaagatgttgctttctctgcaacttcatgaaaacaaaaatattctcaccagccgggcttcttttgcacgtttccatgcttggggatcttgctaagaggcagatt
+>frag0019
+gccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctctgctcccacacttcaggat
+>frag0020
+aaggaagtgccaagaactttatgaacactgattgcaactttaaaacagcctctgcatgcaaaatacaggaagggaatgtgcactacacacattgttattaatgccggcagctgggggagaaagtaggactatgagattcttgttttctgtttttcaagctttccacataatgttgctgtattattttcactagaaaaacgtgggctaaaaaagaaattctgggctgggagcagtggttcacgcctgtaatcctagcattttgggaggccgaggcgggtggatcacctgaggttgggaattc
+>frag0021
+gatggggtggcagggagcctggaggcagcgaggccagtaggcagttggtggccctggtgagaggtgacagtggctcaaactaggatcggggactggaggtggggtaggaaggtatccaggggaattcagggtaaagatgctctgaggctgctggcagctggtgaggagctggatccaggaacacaccccaggctctggcctcgggaggagtgtgctgagcttgttgcggagcaaagacagaagcccagtgaacaaaagatggcgaagagaccccagtgctgggaggccaggggtgcagaggccgagtggggctgtgctcaaaagagaggcggtgctggagggacagggagaggtggcctgggtgttgggaggtgggggtgaggtgggggctgagggcaggagggtcagggtgagggataggaaaggccacaggagaggagagga
+>frag0022
+acggctacacaaccagcattcatcatcgtttcaatggttatttgatgcgttgcggtgaaagcactataacaaaattaatcatcttctacgggtcatttgtgttcctgacacatctgctgtcatgaataaccccatcgtgagttcttccatgctataactttttcctgctttaataattttcttaggacagatgcccagaactgggattattgggtcaaaggaaatgagaattactttggctcctgacactatgtctcagttgccttctggaggtttctaacagtgcagctctgccagcagtacagtcgggggctcggggatacctcaccggctcttattccaagagtcactgaacggcgaactca
+>frag0023
+gtctctccatgacatgtctttccataatgttgctatattcctttcactgtgagccccatcaagacagaaatatgtataggaaaatggtagagaagggcacattttctagggctgtcttccaaccctgccccacccacactcactcacctgtgacgcccacggcagacaccgggcccaggcgccgcccctcgtggaggccgtacaggtgcatcttgtacttgcgcccaggctccaggcccctcacagtgaccttgctctcctggcccccaacacgcaccgcctggggccgcccgtccctgtccttgtactgcacggtgaaggagtcaaagcggccctgggggacggtccaggaaaggctcagcgagtcaggggaggatcctgtcactgtcagctcccccaggagaggctcctcggggggccctggggctctgtgcctggttctgtagggctgggggtctc
+>frag0024
+gccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctc
+>frag0025
+caccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtcaggagctctgctgtgctggtggctgtcccagacccccacagctgaccctggaacttgtcatgtgtgttagctgtcagttgagcaggaccacccagccccaagaatgggcttttctgaaatgacctcacatacccagtagtggccatggtttctccctccttcccttgaagacctgagcacatcccccaggcacctggcatcctctctatatctccttttctcagctgcagaggaagagacccccagccccacggaactcagcactgaggccccggagccccctgaggagccgctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctctcctggaccatcccccaggg
+>frag0026
+aatctcatagtcctactttctcccccagctgccggcattaataacaatgtgtgtagtgcacattcccttcctgtattttgcatgcagaggctgttttaaagttgcaatcagtgttcataaagttcttggcacttccttttttgtacacaagtacattgtaatcattcacctcacggctacacaaccagcattcatcatcgtttcaatggttatttgatgcgttgcggtgaaagcactataacaaaattaatcatcttctacgggtcatttgtgttcctgacacatctgctgtcatgaataaccccatcgtgagttcttccatgctataactttttcctgctttaataattttcttaggacagatgcccagaactgggattattgggtcaaaggaaatgag
+>frag0027
+gcatttccaacaagaaatgatgcggatgctgctggcccatgatcacgccccttgagtagcaaagttcttcacgacaaaggaattggaccctcttttgaaatctgttgaagagaatttttctgcgtccctgattcctggtagtgtgctttctctgtggagttgactaggggccgtgaaggaagacagaaggcagtgaggggcagcgcgtcgactgcacactctggaagcccactattggaataggaataggaacagacctttctcaccaatgggccaatttgttcattcagcaaagaattc
+>frag0028
+gtgcccttctctaccattttcctatacatatttctgtcttgatggggctcacagtgaaaggaatatagcaacattatggaaagacatgtcatggagagacaggctgcaatccagcaaatgaagcaaaggcgggtgagcatgtgatagggaggcccagggctcaggtcaggaccagacagggacgcctaagtcaccctgcccatgggtacccaggggacagccaggacctgaggccaggcatgccttagcttggtgacagctttagagagaaggtgaagtgtgtcagataatcacagctggtgcaaaggc
+>frag0029
+ctgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctctgctcccacacttcaggatgagatactcaccgtaaaggacaccccactcaatcctcagtgcctctcacgtgccatgctctttctagcctcctggcctttgcaccagctgtgattatctgacacacttcaccttctctctaaagctgtcaccaagctaaggcatgcctggcctcaggtcctggctgtcccctgggtacccatgggcagggtgacttaggcgtccctgtctggtcc
+>frag0030
+cctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatcc
+>frag0031
+tcaaagctgccccagccctcagcctgctctggaggggcgcatttgatgtatgacctctgttgacagcaccagcaaagcaagttgcccttaaacccttaaactctgtatccccctatattacctttcagccccacaagaggatgtggacgagacccccagccctacagaaccaggcacagagccccagggccccccgaggagcctctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctttcctggaccgtcccccagggccgctttgactccttcaccgtgcagtacaaggacagggacgggcggccccaggcggtgcgtgttgggggccaggagagcaaggtcactgtgaggggcctggagcctgggcgcaag
+>frag0032
+gtcagctcccccaggcgaggcttgatggggggctcaggggtcatggtaggcactgcttgggtggtctcggcttcatcctctggagttggacagacacgtgtggggacagtgaggtccctggctcctcagttcagcatagaaaggatgtgtcacaaaacacaaagtgcccaagagcaggacgatgctgcccacagcccctccagcacagctcttcatcctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactc
+>frag0033
+cacccctgactccctcagcctgtcctggacggttcccgagggccagtttgaccacttcctggtccagtacaggaatggggatgggcagcccaaggcggtgcgggtgccggggcacgaggacggggtcaccatctcaggcctggagccagaccataaatacaagatgaacctgtacggcttccacggtggccagcgcgtgggccccatctctgtcattggggtgacgggtgagtggatgatggcagccccagggtgggagccgtgggagggtcaccctcttgctctttggtgatgactggtggggaatgggccaggggtccggtcagcaccacagacctgcttgtggctggggctccccttggccttcctctgaggctgacccctggctcctcctgagcagggaggggccgtc
+>frag0034
+ggccccccgaggagcctctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctttcctggaccgtcccccagggccgctttgactccttcaccgtgcagtacaaggacagggacgggcggccccaggcggtgcgtgttgggggccaggagagcaaggtcactgtgaggggcctggagcctgggcgcaagtacaagatgcacctgtacggcctccacgaggggcggcgcctgggcccggtgtctgccgtgggcgtcacaggtgagtgagtgtgggtggggcagggttggaagacagccctagaaaatgtgcccttctctaccattttcctatacatatttctgtcttgatggggctcacagtgaaaggaatatagcaacattatggaaagacatgtcatggagagacaggctgcaatccagcaaatgaagcaaaggcgggtgagcatgtgat
+>frag0035
+ttcatcctctggagttggacagacacgtgtggggacagtgaggtccctggctcctcagttcagcatagaaaggatgtgtcacaaaacacaaagtgcccaagagcaggacgatgctgcccacagcccctccagcacagctcttcatcctctcctctcctgtggcctttcctatccctcaccctgaccctcctgccctcagcccccacctcacccccacctcccaacacccaggccacctctccctgtccctccagcaccgcctctcttttgagcacagccccactcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcac
+>frag0036
+tcggcctctgcacccctggcctcccagcactggggtctcttcgccatcttttgttcactgggcttctgtctttgctccgcaacaagctcagcacactcctcccgaggccagagcctggggtgtgttcctggatccagctcctcaccagctgccagcagcctcagagcatctttaccctgaattcccctggataccttcctaccccacctccagtccccgatcctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccat
+>frag0037
+aaagctgccccagccctcagcctgctctggaggggcgcatttgatgtatgacctctgttgacagcaccagcaaagcaagttgcccttaaacccttaaactctgtatccccctatattacctttcagccccacaagaggatgtggacgagacccccagccctacagaaccaggcacagagccccagggccccccgaggagcctctcctgggggagctgacagtgacaggatcctcccctgactcgctgagcctttcctggaccgtcccccagggccgctttgactccttcaccgtgcagtacaaggacagggacgggcggccccaggcggtgcgtgttgggggccaggagagcaaggtcactgtgaggggcctggagcc
+>frag0038
+cctagtttgagccactgtcacctctcaccagggccaccaactgcctactggcctcgctgcctccaggctccctgccaccccatccccatcttcagcccccacggatgagcttcacacaggcacagctgctggggccatctcagcacagacctaggcaaccacaccctcaaccccgggagaccccaggcctagtgagtggtcccctcctctgctcccacacttcaggatgagatactcaccgtaaaggacaccccactcaatcctcagtgcctctcacgtgccatgctctttctagcctcctggcc
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/format.txt b/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/format.txt
new file mode 100644
index 0000000..dc630e1
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/format.txt
@@ -0,0 +1,4 @@
+// number of variables, number of clauses and number of literals per clause.
+// clause 1 (finalized in 0), if literal < 0 then the literal is negated.
+
+// clause N (finalized in 0), if literal < 0 then the literal is negated.
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/sat1.txt b/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/sat1.txt
new file mode 100644
index 0000000..f8aa7fe
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/sat1.txt
@@ -0,0 +1,44 @@
+10 43 3
+-4 -1 5 0
+-1 -9 -10 0
+-5 -3 -8 0
+-4 -8 -5 0
+2 6 7 0
+-9 -1 -10 0
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+-7 3 4 0
+-2 1 -9 0
+-8 1 3 0
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+-1 -3 -2 0
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+-8 -7 -3 0
+4 3 2 0
+-5 -4 1 0
+-9 10 -8 0
+-6 2 8 0
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+-7 -5 3 0
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+1 -6 -3 0
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+-8 4 9 0
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+-1 -7 8 0
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+-3 9 -1 0
+9 1 -10 0
+10 -5 -8 0
+-10 6 1 0
+1 7 2 0
+-6 3 2 0
+-1 -9 8 0
+-5 2 -10 0
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/sat2.txt b/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/sat2.txt
new file mode 100644
index 0000000..806241f
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/MAXSAT-instances/sat2.txt
@@ -0,0 +1,4301 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/MTTP-instances/mttp100.dat b/ProyectoFinal/CHC/malva/ProblemInstances/MTTP-instances/mttp100.dat
new file mode 100644
index 0000000..9d358cf
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/MTTP-instances/mttp100.dat
@@ -0,0 +1,307 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/MTTP-instances/mttp20.dat b/ProyectoFinal/CHC/malva/ProblemInstances/MTTP-instances/mttp20.dat
new file mode 100644
index 0000000..9dde3f3
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/MTTP-instances/mttp20.dat
@@ -0,0 +1,84 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ONEMAX-instances/format.txt b/ProyectoFinal/CHC/malva/ProblemInstances/ONEMAX-instances/format.txt
new file mode 100644
index 0000000..179a679
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ONEMAX-instances/format.txt
@@ -0,0 +1 @@
+// dimension of the bitstring.
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/ONEMAX-instances/onemax10.txt b/ProyectoFinal/CHC/malva/ProblemInstances/ONEMAX-instances/onemax10.txt
new file mode 100644
index 0000000..f599e28
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/ONEMAX-instances/onemax10.txt
@@ -0,0 +1 @@
+10
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/RAS10.txt b/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/RAS10.txt
new file mode 100644
index 0000000..46fc036
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/RAS10.txt
@@ -0,0 +1,2 @@
+10
+-5.12 5.12
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/RAS20.txt b/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/RAS20.txt
new file mode 100644
index 0000000..1b596f1
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/RAS20.txt
@@ -0,0 +1,2 @@
+20
+-5.12 5.12
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/format.txt b/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/format.txt
new file mode 100644
index 0000000..5be6f83
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/RAS-instances/format.txt
@@ -0,0 +1,2 @@
+// number of variables
+// range of the variables
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/RND-instances/rnd149.txt b/ProyectoFinal/CHC/malva/ProblemInstances/RND-instances/rnd149.txt
new file mode 100644
index 0000000..15c44e9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/RND-instances/rnd149.txt
@@ -0,0 +1 @@
+149
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/SPH10.txt b/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/SPH10.txt
new file mode 100644
index 0000000..46fc036
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/SPH10.txt
@@ -0,0 +1,2 @@
+10
+-5.12 5.12
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/SPH20.txt b/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/SPH20.txt
new file mode 100644
index 0000000..1b596f1
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/SPH20.txt
@@ -0,0 +1,2 @@
+20
+-5.12 5.12
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/format.txt b/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/format.txt
new file mode 100644
index 0000000..5be6f83
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/SPHERE-instances/format.txt
@@ -0,0 +1,2 @@
+// number of variables
+// range of the variables
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/format.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/format.txt
new file mode 100644
index 0000000..abccebe
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/format.txt
@@ -0,0 +1,3 @@
+// Number of customers, Vehicle capacity, Maximum time per route, Service time and best known cost
+// Depot Coordenates
+// Customer coordenates and demand
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpinfo.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpinfo.txt
new file mode 100644
index 0000000..a63a622
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpinfo.txt
@@ -0,0 +1,47 @@
+There are currently 24 data files.
+
+The first set of data files are the 10 test problems from
+Chapter 9 of S.Eilon, C.D.T.Watson-Gandy and N.Christofides
+"Distribution management: mathematical modelling and
+practical analysis" Griffin, London 1971.
+
+Test problems 1, 2, ..., 10 from Chapter 9 are available
+in files vrp1, vrp2, ..., vrp10 respectively.
+
+The format of these data files is apparent from the tables
+of data given in the above reference.
+
+The second set of data files are the 14 test problems from
+Chapter 11 of N.Christofides, A.Mingozzi, P.Toth and C.Sandi
+(eds) "Combinatorial optimization", John Wiley, Chichester 1979.
+
+Test problems 1, 2, ..., 14 from Chapter 11 are available
+in files vrpnc1, vrpnc2, ..., vrpnc14 respectively.
+
+The format of these data files is:
+number of customers, vehicle capacity, maximum route time, drop time
+depot x-coordinate, depot y-coordinate
+for each customer in turn: x-coordinate, y-coordinate, quantity
+
+Both sets of files are of size 15Kb (approximately).
+
+
+
+OTHER SOURCES
+
+Test data for vehicle routing problems is also available
+using the Web from http://www-apache.imag.fr/~paugerat/VRP/INSTANCES
+
+A variety of vehicle routing problems are also available from the
+elib library:
+telnet elib.zib.de and login as elib
+WWW access available at:
+ftp://ftp.zib.de/pub/Packages/mp-testdata/index.html
+
+
+
+A full listing of the problem areas covered by OR-library can
+be found in the file info
+
+ftp access available at mscmga.ms.ic.ac.uk
+WWW access available at http://mscmga.ms.ic.ac.uk/
diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc1.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc1.txt
new file mode 100644
index 0000000..fb9bd54
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc1.txt
@@ -0,0 +1,52 @@
+ 50 160 999999 0 524.61
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc10.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc10.txt
new file mode 100644
index 0000000..bd6fc1b
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc10.txt
@@ -0,0 +1,201 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc11.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc11.txt
new file mode 100644
index 0000000..adea50e
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc11.txt
@@ -0,0 +1,122 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc12.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc12.txt
new file mode 100644
index 0000000..939f5dd
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc12.txt
@@ -0,0 +1,102 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc13.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc13.txt
new file mode 100644
index 0000000..975ff61
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc13.txt
@@ -0,0 +1,122 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc14.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc14.txt
new file mode 100644
index 0000000..02946d9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc14.txt
@@ -0,0 +1,102 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc2.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc2.txt
new file mode 100644
index 0000000..214012a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc2.txt
@@ -0,0 +1,77 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc3.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc3.txt
new file mode 100644
index 0000000..8bfcc47
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc3.txt
@@ -0,0 +1,102 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc4.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc4.txt
new file mode 100644
index 0000000..3faf64a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc4.txt
@@ -0,0 +1,152 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc5.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc5.txt
new file mode 100644
index 0000000..3cacfb7
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc5.txt
@@ -0,0 +1,201 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc6.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc6.txt
new file mode 100644
index 0000000..449fd5c
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc6.txt
@@ -0,0 +1,52 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc7.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc7.txt
new file mode 100644
index 0000000..1b8aa97
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc7.txt
@@ -0,0 +1,77 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc8.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc8.txt
new file mode 100644
index 0000000..0383887
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc8.txt
@@ -0,0 +1,102 @@
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diff --git a/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc9.txt b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc9.txt
new file mode 100644
index 0000000..1910e87
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/ProblemInstances/VRP-instances/vrpnc9.txt
@@ -0,0 +1,152 @@
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diff --git a/ProyectoFinal/CHC/malva/README.md b/ProyectoFinal/CHC/malva/README.md
new file mode 100644
index 0000000..53d6d5d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/README.md
@@ -0,0 +1,278 @@
+## What is Malva?
+
+Malva is a fork of the MALLBA project. MALLBA is an effort to develop, in an integrated way, a
+library of skeletons for combinatorial optimization (including exact, heuristic and hybrid methods)
+that can deal with parallelism in a user-friendly and, at the same time, efficient manner.
+Its three target environments are sequential computers, LANs of workstations and WANs. The main features of MALLBA are:
+
+* Integration of all the skeletons under the same design principles.
+* Facility to switch from sequential to parallel optimization engines.
+By providing sequential implementations users obtain parallel implementations.
+* Cooperation between engines makes possible to provide more powerful hybrid engines.
+* Ready to use on commodity machines.
+* Flexible and extensible software architecture. New skeletons can easily be added, alternative communication layers
+can be used, etc.
+
+## How to install and compile Malva
+
+First of all, you have to install MPICH library. Get the instructions here: http://www.mpich.org/. In OSX, you can just
+type:
+
+ brew install mpich --disable-fortran
+
+Disabling Fortran is needed since we are working with C++ instead of Fortran.
+
+After that, you have to clone this repository using `git clone https://github.com/gabrielfagundez/malva`, and configure Malva modifying the `environment` file.
+
+Then, execute the following command:
+
+ make all
+
+Your Malva directory should contain the following content after the make:
+
+```
+ -rw-r--r-- 1 user users 378 sep 24 09:39 Makefile
+ drwxr-xr-x 4 user users 4096 sep 24 09:48 ProblemInstances
+ -rw-r--r-- 1 user users 345 sep 24 16:29 environment
+ drwxr-xr-x 2 user users 4096 sep 24 16:43 inc
+ drwxr-xr-x 2 user users 4096 sep 24 17:49 lib
+ drwxr-xr-x 5 user users 4096 sep 24 09:41 rep
+ drwxr-xr-x 2 user users 4096 sep 24 17:49 src
+```
+
+## Testing the installation
+
+Go to `MALLBA_DIR/rep_new/CHC` or `MALLBA_DIR/rep_new/GA` and execute `make SEQ` or `make LAN`. If you have in your console
+the result of the execution, everything looks great!
+
+## Important notes
+
+The only new fully-functional algorithms are the GA and the CHC.
+
+## Architecture
+
+Mallba skeletons are based on the separation of two concepts: the concrete problem to be solved and the general
+resolution method to be used. They can be seen as generic templates that just need to be instantiated with the
+features of a problem in order to solve it. All features related to the selected generic resolution method and
+its interaction with the concrete problem are implemented by the skeleton. While the particular features related
+to the problem must be given by the user, the knowledge to parallelize the execution of the resolution method is
+implemented in the skeleton, so that users do not need to deal with parallelism issues.
+
+The design of the Mallba library focuses on easy to use skeletons and general and efficient implementations.
+To achieve both objectives, the C++ programming language was selected due to its high level, modularity,
+flexibility and efficiency features. We have reduced to a minimum the use of inheritance and virtual methods in
+order to provide better efficiency and ease of use. To instantiate most problems, a basic knowledge of C++ is enough,
+and only sequential code without side effects is needed.
+
+Skeletons are implemented by a set of required and provided C++ classes that represent an abstraction of the entities
+participating in the resolution method. The provided classes implement internal aspects of the skeleton in a
+problem-independent way. The required classes specify information and behavior related to the problem.
+This conceptual separation allows us to define required classes with a fixed interface but without any implementation,
+so that provided classes can use required classes in a generic way.
+
+More specifically, each skeleton includes the Problem and Solution required classes, that encapsulate the
+problem-dependent entities needed by the resolution method. The Problem class abstracts the features of the
+problem that are relevant to the selected optimization method. The Solution class abstracts the features of the
+feasible solutions that are relevant to the selected resolution method. Depending on the skeleton, other classes
+may be required. On the other hand, each skeleton offers two provided classes: Solver and SetUpParams. The former
+abstracts the selected resolution method. The later contains the setup parameters needed to perform the execution
+(e.g. number of iterations, number of independent runs, parameters guiding the search, etc.). The Solver class provides
+methods to run the resolution scheme and methods to consult its progress or change its state. The only information the
+solver needs is an instance of the problem to solve and the setup parameters. In order to enable an skeleton to have
+different solver engines, the Solver class defines a unique interface and provides several subclasses that provide
+different sequential and parallel implementations (Solver_Seq, Solver_Lan and Solver_Wan). In Fig. 1 is shown the
+common design of Mallba skeletons.
+
+
+
+## Implementation
+
+The implementation of each skeleton is contained in three files:
+
+* <skeleton>.hh: The file containing the definition of all classes (provides and requires).
+* <skeleton>.pro.cc: The file containing the source code of the classes needed for the internal implementation of the method.
+* <skeleton>.req.cc: The source file where all the required classes will be implemented.
+
+In additional, the user must configure the method parameters in the file <skeleton>.cfg.
+
+## Supported Algorithms
+
+### Genetic Algorithm
+
+A Genetic Algorithm is an evolutionary computation technique inspired by the principles of natural selection to search
+a solution space. It evolves a population of individuals encoded as chromosomes by creating new generations of
+offsprings through an iterative process until some convergence criteria or conditions are met. The best chromosome
+generated is then decoded, providing the corresponding solution. The underlying reproduction process is mainly aimed
+at improving the fitness of individuals, a measure of profit, utility or goodness to be maximized (or minimized) while
+exploring the solution space. The algorithm applies stochastic operators such as selection, crossover, and mutation,
+on an initially random population in order to compute a new generation of individuals. The whole process is sketched
+in the following figure.
+
+```
+ 1 t = 0
+ 2 initialize P(t)
+ 3 evaluate structures in P(t)
+ 4 while not end do
+ 5 t = t + 1
+ 6 select C(t) from P(t-1)
+ 7 recombine structures in C(t) forming C'(t)
+ 8 mutate structures in C'(t) forming C''(t)
+ 9 evaluate structures in C''(t)
+10 replace P(t) from C''(t) and/or P(t-1)
+```
+
+It can be seen that the algorithm comprises three major stages: selection, reproduction and replacement. During the
+selection stage, a temporary population is created in which the fittest individuals (those corresponding to the best
+solutions contained in the population) have a higher number of instances than those less fit (natural selection). The
+reproductive operators are applied to the individuals in this population yielding a new population. Finally, individuals
+of the original population are substituted by the new created individuals. This replacement usually tries to keep the
+best individuals deleting the worst ones. The whole process is repeated until a certain termination criterion is
+achieved (usually after a given number of iterations).
+
+The Genetic Algorithm skeleton (GA) requires the classes:
+
+* Problem
+* Solution
+* Crossover
+* Mutation
+
+The class Problem corresponds to the definition of a problem instance. The skeleton filler must provide a complete
+definition of this class.
+
+The class Solution corresponds to the definition of a solution (feasible or not) of a problem instance. The skeleton
+filler must provide a complete definition of the class Solution.
+
+The class Crossover corresponds to the definition of a crossover operator. The skeleton filler must provide a complete
+definition of this class.
+
+And finally, the class Mutation corresponds to the definition of a mutation operator. The skeleton filler must provide
+a complete definition of this class.
+
+In adition, the user must configure the following algorithm parameters (in file GA.cfg):
+
+* number of independent runs.
+* number of generations.
+* size of population.
+* size of offsprings in each generation.
+* replace mode (if replaces parents for offsprings, or only offsprings may be new parents).
+* Selection operators parameters (selection of parents and selection of offsprings parameters).
+* Intra operators parameters (crossover and mutation parameters).
+* Inter operators (operators to apply between sub-populations) parameters: operator number, operator rate, number of individuals and selection of individual to send and replace.
+* Parallel Configuracion: interval of generation to refresh global state, running mode (synchronized or asyncronized) and interval of generations to check solutions from other populations.
+
+There are several basic steps to running a problem solve with GA skeleton:
+
+* Change to the problem directory
+
+ `cd Mallba/rep/GA/problem`
+
+* Compile skeleton.
+
+ `make`
+
+* Configure algorithm parameters (GA.cfg file)
+
+* Run problem:
+Sequential Version:
+
+```
+make SEQ
+ or
+MainSeq GA.cfg_path instance_path res_file_path
+```
+
+Parallel Version:
+
+Configure Config.cfg file.
+Configure pgfileLan (or pgfileWan) : machines where we run the program.
+Run
+
+```
+make LAN
+ or
+make WAN
+```
+
+### CHC
+
+A CHC is a non-traditional GA which combines a conservative selection strategy (that always preserves the best
+individuals found so far) with a highly disruptive recombination (HUX) that produces offsprings that are maximally
+different from their two parents. The traditional though of preferring a recombination operator with a low disrupting
+properties may not hold when such a conservative selection strategy is used. On the contrary, certain highly disruptive
+crossover operator provide more effective search in many problems, which represents the core idea behind the
+
+CHC search method. This algorithm introduce a new bias against mating individuals who are too similar (incest
+prevention). Mutation is not performed, instead, a restart process re-introduces diversity whenever convergence is
+detected.
+
+```
+ 1 t = 0
+ 2 initialize P(t)
+ 3 evaluate structures in P(t)
+ 4 while not end do
+ 5 t = t + 1
+ 6 select: C(t) = P(t-1)
+ 7 recombine: C'(t) = 'incest prevention' + HUX(C'(t))
+ 8 evaluate structures in C'(t)
+ 9 replace P(t) from C''(t) and P(t-1)
+10 if convergence(P(t))
+11 diverge P(t)
+```
+
+The CHC method skeleton (CHC) requires the classes:
+
+* Problem
+* Solution
+
+The class Problem corresponds to the definition of a problem instance. The skeleton filler must provide a complete
+definition of this class.
+
+And finally, the class Solution corresponds to the definition of a solution (feasible or not) of a problem instance.
+The skeleton filler must provide a complete definition of the class Solution.
+
+In adition, the user must configure the following algorithm parameters (in file CHC.cfg):
+
+* number of independent runs.
+* number of generations.
+* size of population.
+* Selection operator parameters (selection of new parents and the diverge method that the algorithm uses whenever the
+convergence is detected).
+* Intra operators parameters (crossover and mutation parameters).
+* Inter operators (operators to apply between sub-populations) parameters: operator number, operator rate, number of
+individuals and selection of individual to send and replace.
+* Parallel Configuracion: interval of generation to refresh global state, running mode (synchronized or asyncronized)
+and interval of generations to check solutions from other populations.
+
+There are several basic steps to running a problem solve with CHC skeleton:
+
+* Change to the problem directory
+
+ `cd Mallba/rep/CHC/problem`
+
+* Compile skeleton
+
+ `make`
+
+* Configure algorithm parameters (CHC.cfg file)
+
+* Run problem:
+
+Sequential Version:
+
+```
+make SEQ
+ or
+MainSeq GA.cfg_path instance_path res_file_path
+```
+
+Parallel Version:
+
+Configure Config.cfg file.
+Configure pgfileLan (or pgfileWan) : machines where we run the program.
+Run
+
+```
+make LAN
+ or
+make WAN
+```
diff --git a/ProyectoFinal/CHC/malva/environment b/ProyectoFinal/CHC/malva/environment
new file mode 100644
index 0000000..4976de6
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/environment
@@ -0,0 +1,19 @@
+# Malva Configuration.
+MALLBA_DIR=/ens/home01/g/gonzalo.menendez/AEPractico/malva
+
+# MPI library
+MPI_BIN=/lib64/mpich/bin
+# Malva information
+MALLBA_INC=${MALLBA_DIR}/src
+MALLBA_LIB=${MALLBA_DIR}/lib
+MALLBA_SRC=${MALLBA_DIR}/src
+MALLBA_REP=${MALLBA_DIR}/rep
+
+# Run variables
+CXX=$(MPI_BIN)/mpic++
+RUN=$(MPI_BIN)/mpirun
+
+# Other options: -g for debugging and -pg for profiling
+CPPFLAGS=-I$(MALLBA_INC) -Wno-deprecated -O3
+LDFLAGS=-L$(MALLBA_LIB)
+LOADLIBES=-lmallba -lm
diff --git a/ProyectoFinal/CHC/malva/inc/Mallba b/ProyectoFinal/CHC/malva/inc/Mallba
new file mode 100644
index 0000000..5cd551c
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/inc/Mallba
@@ -0,0 +1 @@
+../src
\ No newline at end of file
diff --git a/ProyectoFinal/CHC/malva/inc/inc.env b/ProyectoFinal/CHC/malva/inc/inc.env
new file mode 100644
index 0000000..3976b86
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/inc/inc.env
@@ -0,0 +1 @@
+ln -s ../src Mallba
diff --git a/ProyectoFinal/CHC/malva/lib/Makefile b/ProyectoFinal/CHC/malva/lib/Makefile
new file mode 100644
index 0000000..5bacf25
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/lib/Makefile
@@ -0,0 +1,8 @@
+all:
+ rm -f libmallba.a
+ ar -r libmallba.a ../src/*.o
+ ranlib libmallba.a
+
+clean:
+ rm -f libmallba.a
+
diff --git a/ProyectoFinal/CHC/malva/lib/libmallba.a b/ProyectoFinal/CHC/malva/lib/libmallba.a
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HcmV?d00001
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/CHC.cfg b/ProyectoFinal/CHC/malva/rep/CHC/CHC.cfg
new file mode 100644
index 0000000..0f6c796
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/CHC.cfg
@@ -0,0 +1,15 @@
+10 // number of independent runs
+100 // number of generations
+60 // number of individuals
+1 // display state ?
+Selection-Parameters // selections to apply
+0.9 1 0.5 // selection parameter , diverge operator & its probability
+Intra-Operators // operators to apply in the population
+0 0.8 // crossover & its probability
+Inter-Operators // operators to apply between this population and anothers
+0 25 5 1 3 1 5 // operator number, operator rate, number of individuals, selection of indidivual to send and remplace
+LAN-configuration
+101 // refresh global state
+1 // 0: running in asynchronized mode / 1: running in synchronized mode
+1 // interval of generations to check solutions from other populations
+
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/CHC.hh b/ProyectoFinal/CHC/malva/rep/CHC/CHC.hh
new file mode 100644
index 0000000..0c89fe4
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/CHC.hh
@@ -0,0 +1,909 @@
+/*********************************************************************************************************
+*** ***
+*** CHC Skeleton v1.5 ***
+*** Developed by: Gabriel Jesús Luque Polo ***
+*** ***
+*** Last Update: 30-01-2004 ***
+*** ***
+**********************************************************************************************************/
+
+#ifndef INC_CHC
+#define INC_CHC
+#include "CHCstructures.hh"
+
+skeleton CHC
+{
+#define MAX_USER_OP 5
+#define MAX_PROB_PER_OP 5
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Population;
+ provides class Intra_Operator;
+ provides class Crossover;
+ provides class Diverge;
+ provides class Inter_Operator;
+ provides class Migration;
+ provides class Selection;
+ provides class Selection_New_Population;
+ provides class Selection_Parents;
+ provides class Operator_Pool;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+ provides class StopCondition;
+
+ requires class Problem;
+ requires class Solution;
+ requires class UserStatistics;
+ requires class User_Operator;
+ requires class StopCondition_1;
+ requires bool terminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+ int dimension() const;
+
+ private:
+
+ int _dimension;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_cadena_);
+
+ void initialize();
+ double fitness () const;
+ unsigned int size() const;
+
+ int lengthInBits() const;
+ void flip(const int index);
+ bool equalb(const int index,Solution &s);
+ void swap(const int index, Solution &s);
+ void invalid();
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluation_best_found_trial;
+ unsigned long nb_iteration_best_found_trial;
+ double best_cost_trial;
+ double worst_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Intra_Operator ( clase abstracta ) --------------------------------------------------------------
+
+ provides class Intra_Operator
+ {
+ protected:
+ unsigned int _number_operator;
+ float *probability;
+
+ public:
+ Intra_Operator(const unsigned int _number_op);
+ virtual ~Intra_Operator();
+
+ static Intra_Operator *create(const unsigned int _number_op);
+ friend ostream& operator<< (ostream& os, const Intra_Operator& intra);
+
+ virtual void execute(Rarray<Solution*>& sols) const=0;
+ virtual void setup(char line[MAX_BUFFER]) = 0;
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const=0;
+ virtual void UpdateFromState(const StateCenter& _sc)=0;
+ };
+
+// Crossover ----------------------------------------------------------------------------------
+
+ provides class Crossover: public Intra_Operator
+ {
+ public:
+ Crossover();
+ virtual ~Crossover();
+
+ friend ostream& operator << (ostream& os, const Crossover& cross);
+
+ void cross(Solution &sol1,Solution &sol2) const;
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Diverge ----------------------------------------------------------------------------------
+
+ provides class Diverge: public Intra_Operator
+ {
+ public:
+ Diverge();
+ virtual ~Diverge();
+
+ friend ostream& operator<< (ostream& os, const Diverge& diverge);
+
+ void diverge(Solution& s) const;
+ // applies mutation over all solutions in array sols
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// User_Operator ----------------------------------------------------------------------------------
+
+ requires class User_Operator: public Intra_Operator
+ {
+ public:
+ User_Operator(const unsigned int _number_op);
+ virtual ~User_Operator();
+
+ static Intra_Operator *create(const unsigned int _number_op);
+ friend ostream& operator<< (ostream& os, const User_Operator& User_Operator);
+
+ // applies mutation over all solutions in array sols
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// StopCondition -----------------------------------------------------------------------------------
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+// StopCondition_1 -----------------------------------------------------------------------------------
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _nb_evolution_steps;
+ unsigned long _nb_iteration_steps;
+ unsigned int _population_size; // number of individuals
+ bool _display_state;
+
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _check_asynchronous;
+
+ // selection of parents and offsprings
+ mutable unsigned int _select_parents;
+ mutable unsigned int _select_offsprings;
+
+ Rlist<unsigned int> _intra_operators;
+ Rlist<unsigned int> _inter_operators;
+
+ Operator_Pool& _pool;
+
+ public:
+ SetUpParams (Operator_Pool& pool);
+ Operator_Pool& pool() const;
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long nb_evolution_steps() const;
+ const unsigned int population_size() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int check_asynchronous() const;
+
+ void independent_runs(const unsigned int val);
+ void nb_evolution_steps(const unsigned long val);
+ void population_size(const unsigned int val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void check_asynchronous(const unsigned int val);
+
+ // gets the i-th operator of inter-population
+ const unsigned int inter_operator_index(const unsigned int index) const;
+ const unsigned int inter_operators_size() const;
+
+ // gets the i-th operator of intra-population
+ const unsigned int intra_operator_index(const unsigned int index) const;
+ const unsigned int intra_operators_size() const;
+
+ const unsigned int select_parents() const;
+ const unsigned int select_offsprings() const;
+
+ void select_parents(const unsigned int val);
+ void select_offsprings(const unsigned int val);
+
+ void RefreshState(const StateCenter& _sc) const;
+ void UpdateFromState(const StateCenter& _sc) const;
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_generation;
+ unsigned long nb_evaluation;
+ double best_cost;
+ double global_best_cost;
+ double average_cost;
+ double standard_deviation;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+ ~Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Population ---------------------------------------------------------------------------------
+
+ provides class Population
+ {
+ private:
+ Rarray<Solution*> _parents; // individuals in population
+ Rarray<Solution*> _offsprings; // offsprings of current population
+ Rarray<Solution*> _new_parents; // individuals of previous population
+ Rarray<struct individual> _fitness_values;
+ Rarray<struct individual> _fitness_aux;
+ const SetUpParams& _setup;
+ unsigned int _upper_cost,_lower_cost; // lower and upper fitness of individuals in population
+ unsigned int _evaluations;
+ double _average_cost;
+
+ public:
+ inline void Evaluate(Solution *s, struct individual & _f);
+
+ Population(const Problem& pbm,const SetUpParams& setup); // crea un array de objetos population;
+ ~Population();
+
+ friend ostream& operator<< (ostream& os, const Population& population);
+ friend istream& operator>> (istream& is, Population& population);
+ Population& operator= (const Population& pop);
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+ void initialize();
+
+ // Generate a new pool of individuals in population
+ void evolution();
+
+ // interchange solutions between island
+ void interchange(const unsigned long current_generation, NetStream& channel);
+
+ // creates a array with fitness of all individuals in population and its position in the population
+ void evaluate_parents();
+
+ // creates a array with fitness of all individuals and offsprings in population and its position in the population
+ void evaluate_offsprings();
+
+ // selects parents to creates offsprings
+ void select_parents();
+
+ // selects individuals for the new population
+ void select_offsprings();
+
+ const Rarray<Solution*>& parents() const;
+ const Rarray<Solution*>& offsprings() const;
+ Rarray<struct individual>& fitness_values();
+
+ unsigned int upper_cost() const;
+ unsigned int lower_cost() const;
+ unsigned int evaluations() const;
+ Solution& solution(const unsigned int index) const;
+ double fitness(const unsigned int index) const;
+
+ double best_cost() const;
+ double worst_cost() const;
+ Solution& best_solution() const;
+ Solution& worst_solution() const;
+ double average_cost() const;
+ double standard_deviation() const;
+ };
+
+// Inter_Operator ( abstract )-----------------------------------------------------------
+
+ provides class Inter_Operator
+ {
+ protected:
+ unsigned int migration_rate;
+ unsigned int migration_size;
+ unsigned int migration_selection_1;
+ unsigned int migration_selection_2;
+ unsigned int migration_selection_conf_1;
+ unsigned int migration_selection_conf_2;
+
+ unsigned int _number_operator;
+ const Direction direction;
+
+ public:
+ Inter_Operator(const unsigned int _number_op, const Direction dir);
+ virtual ~Inter_Operator();
+
+ friend ostream& operator<< (ostream& os, const Inter_Operator& inter);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const=0;
+ virtual void setup(char line[MAX_BUFFER]);
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Migration: public Inter_Operator -----------------------------------------------------------
+
+ provides class Migration: public Inter_Operator
+ {
+ public:
+ Migration(const Direction dir);
+ virtual ~Migration();
+
+ friend ostream& operator<< (ostream& os, const Migration& migration);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const;
+ };
+
+// Selection ---------------------------------------------------------
+
+ provides class Selection
+ {
+ protected:
+ unsigned int _number_selection;
+ const Direction direction;
+
+ public:
+
+ Selection(const Direction dir);
+ Selection(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection();
+
+ friend ostream& operator<< (ostream& os, const Selection& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ unsigned int number_selection() const;
+
+ virtual void setup(char line[MAX_BUFFER]);
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+
+ };
+
+// Selection_Parents ---------------------------------------------------------------------------------
+
+ provides class Selection_Parents: public Selection
+ {
+ private:
+ mutable unsigned int selection_position;
+
+ public:
+ Selection_Parents(const Direction dir);
+ virtual ~Selection_Parents();
+
+ friend ostream& operator<< (ostream& os, const Selection_Parents& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const;
+ };
+
+// Selection_New_Population ---------------------------------------------------------------------------
+
+ provides class Selection_New_Population: public Selection
+ {
+ private:
+ mutable unsigned int selection_position;
+ mutable int d;
+ Intra_Operator *diverge;
+ float r;
+
+ public:
+ Selection_New_Population(const Direction dir);
+ virtual ~Selection_New_Population();
+
+ friend ostream& operator<< (ostream& os, const Selection_New_Population& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const;
+
+ virtual void setup(char line[MAX_BUFFER]);
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Selection_Tournament ---------------------------------------------------------------------------------
+
+ provides class Selection_Tournament: public Selection
+ {
+ public:
+ Selection_Tournament(const Direction dir);
+ virtual ~Selection_Tournament();
+
+ friend ostream& operator<< (ostream& os, const Selection_Tournament& sel);
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tourment_size,const bool remplace) const;
+ };
+
+// Selection_Roulette_Wheel ---------------------------------------------------------------------------------
+
+ provides class Selection_Roulette_Wheel: public Selection
+ {
+ public:
+ Selection_Roulette_Wheel(const Direction);
+ virtual ~Selection_Roulette_Wheel();
+
+ friend ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ };
+
+// Selection_Rank ---------------------------------------------------------------------------------
+
+ provides class Selection_Rank: public Selection
+ {
+ public:
+ Selection_Rank(const Direction dir);
+ Selection_Rank(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection_Rank();
+
+ friend ostream& operator<< (ostream& os, const Selection_Rank& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual void reset();
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const;
+ };
+
+// Selection_Best ---------------------------------------------------------------------------------
+
+ provides class Selection_Best: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_best_position;
+
+ public:
+ Selection_Best(const Direction);
+ virtual ~Selection_Best();
+
+ friend ostream& operator<< (ostream& os, const Selection_Best& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Selection_Worst ---------------------------------------------------------------------------------
+
+ provides class Selection_Worst: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_worst_position;
+
+ public:
+ Selection_Worst(const Direction);
+ virtual ~Selection_Worst();
+
+ friend ostream& operator<< (ostream& os, const Selection_Worst& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Operator_Pool -------------------------------------------------------------------------
+
+ // pool with all operators and selections that can be chosen in the setup file
+ provides class Operator_Pool
+ {
+ private:
+ mutable Rlist<Intra_Operator> _intra_operators;
+ Rlist<Selection> _selectors;
+ Rlist<Inter_Operator> _inter_operators;
+
+ public:
+ Operator_Pool(const Problem& pbm);
+ ~Operator_Pool();
+
+ Intra_Operator& intra_operator(const unsigned int index) const;
+ Rlist<Intra_Operator>& intra_operators() const;
+ Selection& selector(const unsigned int index) const;
+ const Rlist<Selection>& selectors() const;
+ Inter_Operator& inter_operator(const unsigned int index) const;
+ const Rlist<Inter_Operator>& inter_operators() const;
+
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Population current_population;
+ StateCenter _sc;
+
+ double best_cost;
+ double worst_cost;
+ Solution best_solution;
+ double average_cost;
+ double standard_deviation;
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_evaluations;
+
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_worst_cost;
+ State_Vble _current_average_cost;
+ State_Vble _current_standard_deviation;
+ State_Vble _current_time_spent;
+
+ State_Vble _best_solution_trial;
+ State_Vble _best_cost_trial;
+ State_Vble _worst_cost_trial;
+ State_Vble _iteration_best_found_in_trial;
+ State_Vble _evaluations_best_found_in_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _evaluations_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _global_worst_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _crossover_probability; // probability of applying the operator over population
+ State_Vble _diverge_probability; // probability of applying the operator over population
+ State_Vble _user_op_probability[MAX_USER_OP]; // probabilities of user operators
+ State_Vble _migration_rate;
+ State_Vble _migration_size;
+ State_Vble _migration_selection_1;
+ State_Vble _migration_selection_2;
+ State_Vble _migration_selection_conf_1;
+ State_Vble _migration_selection_conf_2;
+ State_Vble _select_parents;
+ State_Vble _select_offsprings;
+ State_Vble _parameter_select_new_pop;
+
+ State_Vble _display_state;
+
+ public:
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+
+ virtual int pid() const;
+ bool end_trial() const;
+ void end_trial(bool et);
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (const unsigned long int nb_generations) =0;
+ virtual void run (const Population& pop,const unsigned long int nb_generations) =0;
+
+ //Partial execution
+ virtual void StartUp()=0;
+ virtual void StartUp(const Population& pop)=0;
+
+ virtual void DoStep()=0;
+
+ // Statistics handling ----------------------------------------------------------------------
+
+ Statistics& statistics();
+ UserStatistics& userstatistics ();
+ Population& population();
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling ---------------------------------------------------------------------------
+
+ void RefreshState();
+ void RefreshCfgState();
+ void UpdateFromState();
+ void UpdateFromCfgState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ unsigned long current_evaluations() const;
+ Solution current_best_solution() const;
+ double current_best_cost() const;
+ double current_worst_cost() const;
+ double current_average_cost() const;
+ double current_standard_deviation() const;
+ float current_time_spent() const;
+ Solution best_solution_trial() const;
+ double best_cost_trial() const;
+ double worst_cost_trial() const;
+ unsigned int iteration_best_found_in_trial() const;
+ unsigned int evaluations_best_found_in_trial() const;
+ float time_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ unsigned int evaluations_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ double global_worst_cost() const;
+ float time_best_found() const;
+ int display_state() const;
+
+ float *crossover_probability() const;
+ float *diverge_probability() const;
+ float *user_op_probability(const int index) const;
+ unsigned int migration_rate() const;
+ unsigned int migration_size() const;
+ unsigned int migration_selection_1() const;
+ unsigned int migration_selection_2() const;
+ unsigned int migration_selection_conf_1() const;
+ unsigned int migration_selection_conf_2() const;
+ unsigned int select_parents() const;
+ unsigned int select_offprings() const;
+ float parameter_select_new_pop() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_evaluations(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_worst_cost(const double value);
+ void current_average_cost(const double value);
+ void current_standard_deviation(const double value);
+ void current_time_spent(const float value);
+ void best_solution_trial(const Solution& sol);
+ void best_cost_trial(const double value);
+ void worst_cost_trial(const double value);
+ void iteration_best_found_in_trial(const unsigned int value);
+ void evaluations_best_found_in_trial(const unsigned int value);
+ void time_best_found_trial(const float value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void evaluations_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void global_worst_cost(const double value);
+ void time_best_found(const float value);
+ void display_state(const int value);
+
+ void crossover_probability(const float *probability);
+ void diverge_probability(const float *probability);
+ void user_op_probability(const int index,const float *probability);
+ void migration_rate(const unsigned int rate);
+ void migration_size(const unsigned int size);
+ void migration_selection_1(const unsigned int seleciton_1);
+ void migration_selection_2(const unsigned int selection_2);
+ void migration_selection_conf_1(const unsigned int selection_conf_1);
+ void migration_selection_conf_2(const unsigned int selection_conf_2);
+ void select_parents(const unsigned int selection);
+ void select_offsprings(const unsigned int selection);
+ void parameter_select_new_pop(const float value);
+
+ void KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_trial,const float total_time_spent);
+
+ void show_state() const;
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state();
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ int acum_iterations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state();
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ int acum_iterations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ void reset();
+ };
+
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/CHC.pro.cc b/ProyectoFinal/CHC/malva/rep/CHC/CHC.pro.cc
new file mode 100644
index 0000000..65672fd
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/CHC.pro.cc
@@ -0,0 +1,3033 @@
+#include "CHC.hh"
+
+skeleton CHC
+{
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams (Operator_Pool& pool)
+ : _independent_runs(0),
+ _nb_evolution_steps(0),
+ _population_size(0),
+ _select_parents(6), // Selection of parents: Select all individuals. (fixed)
+ _select_offsprings(7), // Selection of offspring : Select the best individuals. (fixed)
+ _inter_operators(),
+ _intra_operators(),
+ _refresh_global_state(1),
+ _synchronized(0),
+ _check_asynchronous(1),
+ _display_state(0),
+ _pool(pool)
+ {}
+
+ Operator_Pool& SetUpParams::pool() const
+ {
+ return _pool;
+ }
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ long op;
+ int parameter;
+ short int nb_section=0;
+ short int nb_io = 0;
+ short int nb_param=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"Selection-Parameters"))) nb_section=1;
+ if (!(strcmp(command,"Intra-Operators"))) nb_section=2;
+ if (!(strcmp(command,"Inter-Operators"))) nb_section=3;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=4;
+
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.nb_evolution_steps(op); break;
+ case 2: setup.population_size(op); break;
+ case 3: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: setup.pool().selector(setup.select_offsprings()).setup(buffer);
+ break;
+ case 2: setup.pool().intra_operators().append(Intra_Operator::create(op));
+ setup.pool().intra_operator(nb_io).setup(buffer);
+ setup._intra_operators.append(new unsigned int(nb_io));
+ nb_io++;
+ break;
+ case 3: setup._inter_operators.append(new unsigned int(op));
+ setup.pool().inter_operator(op).setup(buffer);
+ break;
+ case 4: if (nb_LAN_param>=3) break;
+ switch (nb_LAN_param)
+ {
+ case 0: setup.refresh_global_state(op); break;
+ case 1: setup.synchronized(op); break;
+ case 2: assert(op>0);
+ setup.check_asynchronous(op); break;
+ }
+ nb_LAN_param++;
+ break;
+ }
+ }
+
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evolution steps: " << setup.nb_evolution_steps() << endl
+ << "\t" << "Size of Population: " << setup.population_size() << endl;
+ os << "\t" <<"With combination between parents and offsprings" << endl;
+
+ os << "\t" << "Display State: " << setup.display_state() << endl << endl
+ << "\t" << "Selections:" << endl
+ << "\t" << "-----------" << endl << endl
+ << "\t" << "Selection parents -> " << setup.pool().selector(setup.select_parents()) << endl
+ << "\t" << "Selection offsprings -> " << setup.pool().selector(setup.select_offsprings()) << endl
+ << "\t" << "Intra_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.intra_operators_size();i++)
+ os << "\t" << (setup.pool().intra_operator(setup.intra_operator_index(i))) << endl;
+
+ os << endl << "\t" << "Inter_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.inter_operators_size();i++)
+ os << "\t" << "Operator: " << setup.pool().inter_operator(setup.inter_operator_index(i)) << endl;
+
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+ os << "\t" << "Interval for checking asynchronous receptions: " << setup.check_asynchronous() << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ continue_question();
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::nb_evolution_steps() const
+ {
+ return _nb_evolution_steps;
+ }
+
+ const unsigned int SetUpParams::population_size() const
+ {
+ return _population_size;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::check_asynchronous() const
+ {
+ return _check_asynchronous;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs=val;
+ }
+
+ void SetUpParams::nb_evolution_steps(const unsigned long val)
+ {
+ _nb_evolution_steps=val;
+ }
+
+ void SetUpParams::population_size(const unsigned int val)
+ {
+ _population_size=val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::check_asynchronous(const unsigned int val)
+ {
+ _check_asynchronous=val;
+ }
+
+ const unsigned int SetUpParams::select_parents() const
+ {
+ return _select_parents;
+ }
+
+ const unsigned int SetUpParams::select_offsprings() const
+ {
+ return _select_offsprings;
+ }
+
+ void SetUpParams::select_parents(const unsigned int val)
+ {
+ _select_parents=val;
+ }
+
+ void SetUpParams::select_offsprings(const unsigned int val)
+ {
+ _select_offsprings=val;
+ }
+
+ const unsigned int SetUpParams::intra_operator_index(const unsigned int index) const
+ {
+ return _intra_operators[index];
+ }
+
+ const unsigned int SetUpParams::intra_operators_size() const
+ {
+ return _intra_operators.size();
+ }
+
+ const unsigned int SetUpParams::inter_operator_index(const unsigned int index) const
+ {
+ return _inter_operators[index];
+ }
+
+ const unsigned int SetUpParams::inter_operators_size() const
+ {
+ return _inter_operators.size();
+ }
+
+ void SetUpParams::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&_select_parents,1,sizeof(_select_parents));
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,1,sizeof(_select_offsprings));
+ _sc.set_contents_state_variable("_display_state",(char *)&_display_state,1,sizeof(bool));
+ }
+
+ void SetUpParams::UpdateFromState(const StateCenter& _sc) const
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&_select_parents,nbytes,length);
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,nbytes,length);
+ _sc.get_contents_state_variable("_display_state",(char *)&_display_state,nbytes,length);
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Trial: " << stats.stats_data[i].trial
+ << " Generation: " << stats.stats_data[i].nb_generation
+ << " Evaluation: " << stats.stats_data[i].nb_evaluation
+ << " Current best cost: " << stats.stats_data[i].best_cost
+ << " Global best cost: " << stats.stats_data[i].global_best_cost
+ << " Avg: " << stats.stats_data[i].average_cost
+ << " Std. Dev.: " << stats.stats_data[i].standard_deviation;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ struct stat *new_stat=(struct stat *)malloc(sizeof(struct stat));
+
+ new_stat->trial=solver.current_trial();
+ new_stat->nb_generation=solver.current_iteration();
+ new_stat->nb_evaluation=solver.current_evaluations();
+ new_stat->average_cost=solver.current_average_cost();
+ new_stat->standard_deviation=solver.current_standard_deviation();
+ new_stat->best_cost=solver.current_best_cost();
+ new_stat->global_best_cost=solver.global_best_cost();
+
+ stats_data.append(*new_stat);
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+ Statistics::~Statistics()
+ {}
+
+// Population ------------------------------------------------------
+
+ Population::Population(const Problem& pbm,const SetUpParams& setup)
+ :_parents(setup.population_size()),
+ _fitness_values(setup.population_size()),
+ _new_parents(setup.population_size()),
+ _offsprings(setup.population_size()),
+ _setup(setup),
+ _evaluations(0)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]=new Solution(pbm);
+ _new_parents[i]=new Solution(pbm);
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ for (int i=0;i<_offsprings.size();i++)
+ _offsprings[i]=new Solution(pbm);
+
+ }
+
+ void Population::Evaluate(Solution* sols,struct individual &_f)
+ {
+ if(_f.change)
+ {
+ _f.change = false;
+ _f.fitness = sols->fitness();
+ _evaluations++;
+ }
+ }
+
+ Population& Population::operator= (const Population& pop)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ *_parents[i]=*((pop.parents())[i]);
+ _fitness_values[i] = pop._fitness_values[i];
+ _evaluations = pop._evaluations;
+ }
+ return (*this);
+ }
+
+ istream& operator>> (istream& is, Population& population)
+ {
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Population& population)
+ {
+ os << "---------------------------------------------------------------" << endl;
+ os << " PRESENT POPULATION " << endl << endl;
+ for (int i=0;i<population._parents.size();i++)
+ os << *population._parents[i] << endl;
+ os << endl << "---------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ const SetUpParams& Population::setup() const
+ {
+ return _setup;
+ }
+
+ void Population::initialize()
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]->initialize();
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ evaluate_parents();
+ }
+
+ void Population::evaluate_parents()
+ {
+ double upper_fitness=(infinity() * (-1));
+ double lower_fitness=(infinity());
+ double current_fitness;
+ double cost=0.0;
+
+ for (int i=0;i<_fitness_values.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ current_fitness = _fitness_values[i].fitness;
+
+ if (current_fitness > upper_fitness )
+ {
+ _upper_cost=i;
+ upper_fitness = current_fitness;
+ }
+
+ if (current_fitness < lower_fitness )
+ {
+ _lower_cost=i;
+ lower_fitness = current_fitness;
+ }
+
+ cost += current_fitness;
+ }
+
+ _average_cost = cost / _fitness_values.size();
+ }
+
+ void Population::evaluate_offsprings()
+ {
+ int i=0;
+
+ _fitness_aux=Rarray<struct individual>(_parents.size() + _offsprings.size());
+ for (i=0;i<_parents.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ _fitness_aux[i] = _fitness_values[i];
+ }
+
+ for (int j=i;(j-i)<_offsprings.size();j++)
+ {
+ _fitness_aux[j].index=j;
+ _fitness_aux[j].change=true;
+ Evaluate(_offsprings[j-i],_fitness_aux[j]);
+ }
+ }
+
+ void Population::evolution()
+ {
+ select_parents(); // selects individuals to apply operators
+
+ // apply selected operators
+ for (int i=0;i<_setup.intra_operators_size();i++)
+ _setup.pool().intra_operator(_setup.intra_operator_index(i)).execute(_offsprings);
+
+ evaluate_offsprings();
+ select_offsprings(); // selects new individuals
+ evaluate_parents(); // calculates fitness of new individuals
+ }
+
+ void Population::interchange(const unsigned long current_generation, NetStream& channel)
+ {
+ // apply selected operators
+ for (int i=0;i<_setup.inter_operators_size();i++)
+ _setup.pool().inter_operator(_setup.inter_operator_index(i)).execute((*this),current_generation,channel,_setup.synchronized(),_setup.check_asynchronous());
+ }
+
+ void Population::select_parents()
+ {
+ _setup.pool().selector(_setup.select_parents()).prepare(_fitness_values,false);
+ struct individual ind;
+ for (int i=0;i<_offsprings.size();i++)
+ {
+ ind = _setup.pool().selector(_setup.select_parents()).select_one(_parents,_offsprings,_fitness_values,0,false);
+ *_offsprings[i] = *_parents[ind.index];
+ }
+ }
+
+ void Population::select_offsprings()
+ {
+ _setup.pool().selector(_setup.select_offsprings()).prepare(_fitness_aux,false);
+ const int ps = _parents.size();
+ Rarray<struct individual> aux(ps);
+
+ for (int i=0;i<ps;i++)
+ {
+ aux[i] = _setup.pool().selector(_setup.select_offsprings()).select_one(_parents,_offsprings,_fitness_aux,0,false);
+ if(aux[i].index < ps)
+ {
+ *_new_parents[i] = *_parents[aux[i].index];
+ aux[i].index = i;
+ }
+ else
+ {
+ *_new_parents[i] = *_offsprings[aux[i].index-ps];
+ aux[i].index = i;
+ }
+ }
+
+ Solution *interchange;
+ for (int i=0;i<ps;i++)
+ {
+ interchange=_parents[i];
+ _parents[i]=_new_parents[i]; // interchanges pointers to solutions ( NO solutions !! )
+ _new_parents[i]=interchange;
+ }
+
+ for (int i=0;i<ps;i++)
+ {
+ _fitness_values[i] = aux[i];
+ }
+ }
+
+ const Rarray<Solution*>& Population::parents() const
+ {
+ return _parents;
+ }
+
+ const Rarray<Solution*>& Population::offsprings() const
+ {
+ return _offsprings;
+ }
+
+ Rarray<struct individual>& Population::fitness_values()
+ {
+ return _fitness_values;
+ }
+
+ unsigned int Population::upper_cost() const
+ {
+ return _upper_cost;
+ }
+
+ unsigned int Population::lower_cost() const
+ {
+ return _lower_cost;
+ }
+
+ unsigned int Population::evaluations() const
+ {
+ return _evaluations;
+ }
+
+ double Population::best_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_lower_cost].fitness;
+ else
+ return _fitness_values[_upper_cost].fitness;
+ }
+
+ double Population::worst_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_upper_cost].fitness;
+ else
+ return _fitness_values[_lower_cost].fitness;
+ }
+
+ Solution& Population::best_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_lower_cost].index];
+ else
+ return *_parents[_fitness_values[_upper_cost].index];
+ }
+
+ Solution& Population::worst_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_upper_cost].index];
+ else
+ return *_parents[_fitness_values[_lower_cost].index];
+ }
+
+ Solution& Population::solution(const unsigned int index) const
+ {
+ return *_parents[index];
+ }
+
+ double Population::fitness(const unsigned int index) const
+ {
+ return _fitness_values[index].fitness;
+ }
+
+ double Population::average_cost() const
+ {
+ return _average_cost;
+ }
+
+ double Population::standard_deviation() const
+ {
+ double standard=0.0;
+ for (int i=0;i<_fitness_values.size();i++)
+ standard += pow ((_fitness_values[i].fitness - _average_cost),2);
+ standard=sqrt(standard / (_fitness_values.size()-1));
+ return standard;
+ }
+
+ Population::~Population()
+ {
+ for (int i=0;i<_parents.size();i++)
+ delete(_parents[i]);
+ for (int i=0;i<_offsprings.size();i++)
+ delete(_offsprings[i]);
+ for (int j=0;j<_new_parents.size();j++)
+ delete(_new_parents[j]);
+ }
+
+// Intra_operator --------------------------------------------------------------
+
+ Intra_Operator::Intra_Operator(const unsigned int _number_op):_number_operator(_number_op),probability(NULL)
+ {}
+
+ unsigned int Intra_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ Intra_Operator *Intra_Operator::create(unsigned int _number_op)
+ {
+ switch (_number_op)
+ {
+ case 0: return new Crossover();break;
+ case 1: return new Diverge();break;
+ default: return User_Operator::create(_number_op); break;
+ }
+ }
+
+ ostream& operator<< (ostream& os, const Intra_Operator& intra)
+ {
+ switch (intra.number_operator())
+ {
+ case 0: os << (Crossover&)intra;break;
+ case 1: os << (Diverge&)intra;break;
+ default: os << (User_Operator&)intra;break;
+ }
+ return os;
+ }
+
+ Intra_Operator::~Intra_Operator()
+ {}
+
+// Crossover:Intra_operator -------------------------------------------------------------
+
+ Crossover::Crossover():Intra_Operator(0)
+ {
+ probability = new float[1];
+ probability[0] = -1.0;
+ }
+
+ void Crossover::cross(Solution& sol1,Solution& sol2) const // dadas dos soluciones de la poblacion, las cruza
+ {
+ int dh = 0;
+
+ if(probability[0] <= 0.0)
+ {
+ probability[0] = sol1.lengthInBits()/4;
+ }
+
+ for(int i = 0; i < sol1.lengthInBits();i++)
+ if(!sol1.equalb(i,sol2)) dh++;
+
+ if((dh/2) > probability[0])
+ {
+ for(int i = 0; i < sol1.lengthInBits();i++)
+ if((!sol1.equalb(i,sol2)) && (0.5 <= rand01()))
+ {
+ sol1.swap(i,sol2);
+ }
+ }
+ else
+ {
+ sol1.invalid();
+ sol2.invalid();
+ }
+ }
+
+ void Crossover::execute(Rarray<Solution*>& sols) const
+ {
+ for(int i=0;i+1<sols.size();i=i+2)
+ cross(*sols[i],*sols[i+1]);
+ }
+
+ ostream& operator<< (ostream& os, const Crossover& cross)
+ {
+ os << "Crossover.";
+ return os;
+ }
+
+ void Crossover::RefreshState(const StateCenter& _sc) const
+ {}
+
+ void Crossover::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_parameter_select_new_pop",(char *)probability,nbytes,length);
+ }
+
+ void Crossover::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d ",&op);
+ }
+
+ Crossover::~Crossover()
+ {
+ delete [] probability;
+ }
+
+
+// Diverge: Sub_operator -------------------------------------------------------------
+
+ Diverge::Diverge():Intra_Operator(1)
+ {
+ probability = new float[1];
+ }
+
+ void Diverge::diverge(Solution& sol) const
+ {
+ for(int i = 0; i < sol.lengthInBits(); i++)
+ if(rand01() < probability[0]) sol.flip(i);
+ }
+
+ void Diverge::execute(Rarray<Solution*>& sols) const
+ {
+ for (int i=0;i<sols.size();i++)
+ diverge(*sols[i]);
+ }
+
+ ostream& operator<< (ostream& os, const Diverge& diverge)
+ {
+ os << "Diverge." << " Probability: " << diverge.probability[0];
+ return os;
+ }
+
+ void Diverge::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d %f ",&op,&probability[0]);
+ assert(probability[0]>=0);
+ }
+
+ void Diverge::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_diverge_probability",(char *)probability,1,sizeof(float));
+ }
+
+ void Diverge::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_diverge_probability",(char *)probability,nbytes,length);
+ }
+
+ Diverge::~Diverge()
+ {
+ delete [] probability;
+ }
+
+
+// Inter_operator -------------------------------------------------------------------
+
+ Inter_Operator::Inter_Operator(const unsigned int _number_op,const Direction dir):
+ _number_operator(_number_op),
+ direction(dir),
+ migration_rate(1),
+ migration_size(1),
+ migration_selection_1(0),
+ migration_selection_2(0),
+ migration_selection_conf_1(0),
+ migration_selection_conf_2(0)
+ {}
+
+ unsigned int Inter_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ void Inter_Operator::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ int new_migration_rate=1;
+ int new_migration_size=1;
+ int new_migration_selection_1=0;
+ int new_migration_selection_conf_1=0;
+ int new_migration_selection_2=0;
+ int new_migration_selection_conf_2=0;
+
+ sscanf(line," %d %d %d %d %d %d %d ",&op,&new_migration_rate,&new_migration_size,&new_migration_selection_1,&new_migration_selection_conf_1,&new_migration_selection_2,&new_migration_selection_conf_2);
+
+ assert(new_migration_rate>0);
+ assert(new_migration_size>0);
+ assert(new_migration_selection_1>=0);
+ assert(new_migration_selection_conf_1>=0);
+ assert(new_migration_selection_2>=0);
+ assert(new_migration_selection_conf_2>=0);
+
+ migration_rate=new_migration_rate;
+ migration_size=new_migration_size;
+ migration_selection_1=new_migration_selection_1;
+ migration_selection_conf_1=new_migration_selection_conf_1;
+ migration_selection_2=new_migration_selection_2;
+ migration_selection_conf_2=new_migration_selection_conf_2;
+ }
+
+ void Inter_Operator::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&migration_rate,1,sizeof(migration_rate));
+ _sc.set_contents_state_variable("_migration_size",(char *)&migration_size,1,sizeof(migration_size));
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,1,sizeof(migration_selection_1));
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,1,sizeof(migration_selection_2));
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,1,sizeof(migration_selection_conf_1));
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,1,sizeof(migration_selection_conf_2));
+ }
+
+ void Inter_Operator::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&migration_rate,nitems,length);
+ _sc.get_contents_state_variable("_migration_size",(char *)&migration_size,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,nitems,length);
+ }
+
+ ostream& operator<< (ostream& os, const Inter_Operator& inter)
+ {
+ switch (inter.number_operator())
+ {
+ case 0: os << (Migration&)inter;break;
+ }
+ return os;
+ }
+
+ Inter_Operator::~Inter_Operator()
+ {}
+
+// Migration ------------------------------------------------------------
+
+ Migration::Migration(const Direction dir):Inter_Operator(0,dir)
+ {}
+
+ void Migration::execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asynchronous) const
+ {
+
+ Solution* solution_to_send;
+ Solution* solution_received;
+ Solution* solution_to_remplace;
+ bool need_to_revaluate=false;
+ int mypid;
+
+ int nb_proc=_netstream.pnumber(); // Get the number of processes running
+
+ mypid=_netstream.my_pid();
+
+ int to = (mypid + 1) % nb_proc; // Source (from) and Target (to) of processes
+ int from = (nb_proc + mypid - 1) % nb_proc;
+
+ // process number 0 is only to store the global state
+ if (to==0) to=1;
+ if (from==0) from=nb_proc - 1;
+
+ _netstream << set_target(to) << set_source(from)
+ << get_target(&to) << get_source(&from);
+
+ if ( (current_generation % migration_rate) == 0
+ && (current_generation!=pop.setup().nb_evolution_steps())) // in this generation this operator have to be applied
+ {
+ pop.setup().pool().selector(migration_selection_1).prepare(pop.fitness_values(),false);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to send
+ solution_to_send = pop.parents()[pop.setup().pool().selector(migration_selection_1).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_1,false).index];
+
+ _netstream << *solution_to_send;
+ }
+ _netstream << pack_end;
+
+ if (synchronized) // synchronous mode: blocked until data are received
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+ int tipo = 0;
+ _netstream._wait2(any,tipo);
+
+ if (tipo == 1){
+ return;
+ }
+
+ _netstream << wait(packed);
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ }
+ _netstream << pack_end;
+
+ }
+ } // end if
+
+ if (!synchronized && ((current_generation % check_asynchronous) ==0))
+ { // asynchronous mode: if there are not data, continue;
+ // but, if there are data, i have to receive it
+ int pending=false;
+ _netstream._probe(packed,pending);
+ if (pending)
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ pending=false;
+ _netstream._probe(regular,pending);
+ if (!pending) break;
+
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ } // end for
+ _netstream << pack_begin;
+ } // end if
+ }
+
+ if (need_to_revaluate) pop.evaluate_parents();
+ }
+
+ ostream& operator<< (ostream& os, const Migration& migration)
+ {
+ os << "Migration."
+ << endl << "\t" << " Rate: " << migration.migration_rate
+ << endl << "\t" << " Size: " << migration.migration_size
+ << endl << "\t" << " Selection 1: " << migration.migration_selection_1
+ << endl << "\t" << " Selection 1 Parameter: " << migration.migration_selection_conf_1
+ << endl << "\t" << " Selection 2: " << migration.migration_selection_2
+ << endl << "\t" << " Selection 2 Parameter: " << migration.migration_selection_conf_2;
+ return os;
+ }
+
+ Migration::~Migration()
+ {}
+
+// Selection ------------------------------------------------------------
+
+ Selection::Selection(const Direction dir):_number_selection(0),direction(dir)
+ {}
+
+ Selection::Selection(const unsigned int _number_sel, const Direction dir):_number_selection(_number_sel),direction(dir)
+ {}
+
+ void Selection::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {}
+
+ struct individual Selection::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const
+ { // select a random individual
+ return fitness_values[rand_int(0,fitness_values.size()-1)];
+ }
+
+ unsigned int Selection::number_selection() const
+ {
+ return _number_selection;
+ }
+
+ ostream& operator<< (ostream& os, const Selection& sel)
+ {
+ switch (sel.number_selection())
+ {
+ case 0: os << "Random Selection"; break;
+ case 1: os << (Selection_Tournament&)sel; break;
+ case 2: os << (Selection_Roulette_Wheel&)sel; break;
+ case 3: os << (Selection_Rank&)sel; break;
+ case 4: os << (Selection_Best&)sel; break;
+ case 5: os << (Selection_Worst&)sel; break;
+ case 6: os << (Selection_Parents&)sel; break;
+ case 7: os << (Selection_New_Population&)sel; break;
+ }
+ return os;
+ }
+
+ void Selection::setup(char line[MAX_BUFFER])
+ {}
+
+ void Selection::RefreshState(const StateCenter& _sc) const
+ {}
+
+ void Selection::UpdateFromState(const StateCenter& _sc)
+ {}
+
+
+ Selection::~Selection()
+ {}
+
+// Selection_Tournament----------------------------------------------------
+
+ Selection_Tournament::Selection_Tournament(const Direction dir):Selection(1,dir)
+ {}
+
+ struct individual Selection_Tournament::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tournament_size, const bool remplace) const
+ {
+ unsigned int best_sol=0;
+ double best_fitness=((-1) * direction * infinity());
+ unsigned int index;
+
+ if (remplace) best_fitness = -1 * best_fitness;
+
+ unsigned int new_tournament_size=tournament_size;
+ if (tournament_size==0) new_tournament_size=1;
+
+ for (int i=0;i<new_tournament_size;i++)
+ {
+ index=rand_int(0,fitness_values.size()-1);
+
+ switch (direction)
+ {
+ case (minimize): if (((!remplace) && (fitness_values[index].fitness<best_fitness))
+ || ((remplace) && (fitness_values[index].fitness>best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ case (maximize): if (((!remplace) && (fitness_values[index].fitness>best_fitness))
+ || ((remplace) && (fitness_values[index].fitness<best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ }
+ }
+
+ return fitness_values[best_sol];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Tournament& sel)
+ {
+ os << "Tournament Selection.";
+ return os;
+ }
+
+ Selection_Tournament::~Selection_Tournament()
+ {}
+
+// Selection_Roulette_Wheel ---------------------------------------------------
+
+ Selection_Roulette_Wheel::Selection_Roulette_Wheel(const Direction dir):Selection(2,dir)
+ {}
+
+ void Selection_Roulette_Wheel::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+
+ double overall_fitness=0.0;
+
+ // inverts fitness values to select less fitness individuals with a high probability
+ if ((direction==maximize && (remplace)) || ((direction==minimize) && (!(remplace))))
+ {
+ // fitness assigned if the fitness value is 0 in this case
+ double value_if_zero=DBL_MAX;
+ unsigned int nb_zeros=0;
+
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ value_if_zero-=fitness_values[i].fitness;
+ else
+ nb_zeros++;
+ }
+
+ value_if_zero=value_if_zero/nb_zeros;
+
+ // Warning !! if fitness is 0 (1/0 ?)
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ fitness_values[i].sel_parameter = (1 / fitness_values[i].fitness );
+ else
+ fitness_values[i].sel_parameter = value_if_zero;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+ }
+ else
+ {
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = fitness_values[i].fitness;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+
+ }
+
+ if (overall_fitness>DBL_MAX) overall_fitness=DBL_MAX;
+
+ // calculate relative fitness
+ double previous=0.0;
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = (fitness_values[i].sel_parameter / overall_fitness) + previous;
+ previous = fitness_values[i].sel_parameter;
+ }
+ }
+
+ struct individual Selection_Roulette_Wheel::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy, const bool remplace) const
+ {
+ double random_selected=rand01();
+ int i=0;
+
+ while (random_selected > fitness_values[i].sel_parameter )
+ i++;
+
+ return fitness_values[i];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel)
+ {
+ os << "Roulette Wheel Selection.";
+ return os;
+ }
+
+ Selection_Roulette_Wheel::~Selection_Roulette_Wheel()
+ {}
+
+// Selection_Rank --------------------------------------------------
+
+ int lessF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness < i2.fitness;
+ }
+
+ int greaterF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness > i2.fitness;
+ }
+
+ Selection_Rank::Selection_Rank(const Direction dir):Selection(3,dir)
+ {}
+
+ Selection_Rank::Selection_Rank(const unsigned int _number_sel, const Direction dir):Selection(_number_sel,dir)
+ {}
+
+ void Selection_Rank::reset()
+ {}
+
+ void Selection_Rank::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+ reset();
+
+ // sort individuals
+ if (((direction==maximize) && (!(remplace))) || ((direction==minimize) && (remplace)))
+ fitness_values.sort(lessF);
+ else
+ fitness_values.sort(greaterF);
+ }
+
+ struct individual Selection_Rank::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const
+ {
+
+ unsigned int new_portion=portion;
+ if (portion==0 || portion>100) new_portion=100;
+
+ return fitness_values[rand_int(0,(( fitness_values.size() * new_portion )/ 100)-1)];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Rank& sel)
+ {
+ os << "Rank-Ordered Selection.";
+ return os;
+ }
+
+ Selection_Rank::~Selection_Rank()
+ {}
+
+// Selection_Best --------------------------------------------------
+
+ Selection_Best::Selection_Best(const Direction dir):Selection_Rank(4,dir),selection_best_position(0)
+ {}
+
+ struct individual Selection_Best::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_best_position;
+ selection_best_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ return fitness_values[position_to_return];
+ }
+
+ void Selection_Best::reset()
+ {
+ selection_best_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Best& sel)
+ {
+ os << "Selection of best ordered individuals.";
+ return os;
+ }
+
+ Selection_Best::~Selection_Best()
+ {}
+
+// Selection_Worst --------------------------------------------------
+
+ Selection_Worst::Selection_Worst(const Direction dir):Selection_Rank(5,dir),selection_worst_position(0)
+ {}
+
+ struct individual Selection_Worst::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_worst_position;
+ selection_worst_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ int index=(fitness_values.size()-1) - position_to_return;
+ return fitness_values[index];
+ }
+
+ void Selection_Worst::reset()
+ {
+ selection_worst_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Worst& sel)
+ {
+ os << "Selection of worst ordered individuals.";
+ return os;
+ }
+
+ Selection_Worst::~Selection_Worst()
+ {}
+
+// Selection_Parents ---------------------------------------------------------------------------------
+
+ Selection_Parents::Selection_Parents(const Direction dir):Selection(6,dir),selection_position(0)
+ {}
+
+ Selection_Parents::~Selection_Parents()
+ {}
+
+ ostream& operator<< (ostream& os, const Selection_Parents& sel)
+ {
+ os << "CHC Selection: Parents Selection.";
+ return os;
+ }
+
+ void Selection_Parents::prepare(Rarray<struct individual>& fitness_values,const bool remplace) // const
+ {
+ selection_position = 0;
+ int limit1,limit2;
+ register int max = fitness_values.size();
+
+ struct individual interchange;
+
+ for (int i=0;i<max*3;i++)
+ {
+ limit1 = rand_int(0,max-1);
+ limit2 = rand_int(0,max-1);
+ interchange=fitness_values[limit1];
+ fitness_values[limit1]=fitness_values[limit2];
+ fitness_values[limit2]=interchange;
+ }
+ }
+
+ struct individual Selection_Parents::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const
+ {
+ int index = selection_position;
+ selection_position++;
+
+ index = index % fitness_values.size();
+
+ return fitness_values[index];
+ }
+
+// Selection_New_Population ---------------------------------------------------------------------------
+
+ Selection_New_Population::Selection_New_Population(const Direction dir)
+ :Selection(7,dir)
+ ,diverge(NULL)
+ ,d(-1)
+ {}
+
+ Selection_New_Population::~Selection_New_Population()
+ {
+ if(diverge != NULL) delete diverge;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_New_Population& sel)
+ {
+ os << "CHC Selection: New Population Selection." << " Diverge Operator: " << *sel.diverge;
+ return os;
+ }
+
+
+ void Selection_New_Population::prepare(Rarray<struct individual>& fitness_values,const bool remplace) // const
+ {
+ selection_position = 0;
+
+ // sort individuals
+ if (((direction==maximize) && (!(remplace))) || ((direction==minimize) && (remplace)))
+ fitness_values.sort(greaterF);
+ else
+ fitness_values.sort(lessF);
+ }
+
+ struct individual Selection_New_Population::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int param,const bool remplace) const
+ {
+ bool change = false;
+ if(d == -1) d = to_select_1[0]->lengthInBits() / 4;
+
+ if(selection_position == 0)
+ {
+ for(int i= 0; i < to_select_1.size(); i++)
+ if(fitness_values[i].index > (to_select_1.size()-1)) change = true;
+ if(change) selection_position++;
+ else selection_position--;
+ }
+
+ if(selection_position == -1)
+ {
+ d--;
+ if(d < 0)
+ {
+ selection_position--;
+ d = (int) (r * (1.0-r) * to_select_1[0]->lengthInBits());
+ }
+ else selection_position = 1;
+ }
+
+ if(selection_position == -2)
+ {
+ assert(diverge != NULL);
+ for(int i = 1; i < to_select_1.size(); i++)
+ {
+ if(rand01() < r) ((Diverge *)diverge)->diverge(*to_select_1[i]);
+ }
+ for(int i= 0; i < fitness_values.size(); i++)
+ if(fitness_values[i].index < (to_select_1.size()-1)) fitness_values[i].change = true;
+
+ selection_position = 1;
+ }
+
+ if(selection_position > 0)
+ {
+ int index = selection_position-1;
+ selection_position++;
+ return fitness_values[index];
+ }
+ }
+
+ void Selection_New_Population::setup(char line[MAX_BUFFER])
+ {
+ int div;
+ float div_par;
+
+ sscanf(line," %f %d %f ",&r,&div, &div_par);
+ assert(r>=0);
+
+ sprintf(line,"%d %f ",div,div_par);
+
+ diverge = Intra_Operator::create(div);
+ assert(diverge != NULL);
+
+ diverge->setup(line);
+ }
+
+ void Selection_New_Population::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_parameter_select_new_pop",(char *)&r,1,sizeof(float));
+ }
+
+ void Selection_New_Population::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_parameter_select_new_pop",(char *)&r,nbytes,length);
+ }
+
+// Operator_Pool ------------------------------------------------------------------------
+
+ Operator_Pool::Operator_Pool(const Problem& pbm)
+ {
+ // introduces all operators and selections in lists
+
+ // Index to be chosen in setup file
+ //-------------------------------------
+ // The Intra_Operators are introduced dimanicly in setup
+
+ _selectors.append(new Selection(pbm.direction())); // 0
+ _selectors.append(new Selection_Tournament(pbm.direction())); // 1
+ _selectors.append(new Selection_Roulette_Wheel(pbm.direction())); // 2
+ _selectors.append(new Selection_Rank(pbm.direction())); // 3
+ _selectors.append(new Selection_Best(pbm.direction())); // 4
+ _selectors.append(new Selection_Worst(pbm.direction())); // 5
+ _selectors.append(new Selection_Parents(pbm.direction())); // 6
+ _selectors.append(new Selection_New_Population(pbm.direction())); // 7
+
+ _inter_operators.append(new Migration(pbm.direction())); // 0
+ }
+
+ Intra_Operator& Operator_Pool::intra_operator(const unsigned int index) const
+ {
+ assert(index < _intra_operators.size());
+ return _intra_operators[index];
+ }
+
+ Rlist<Intra_Operator>& Operator_Pool::intra_operators() const
+ {
+ return _intra_operators;
+ }
+
+ Selection& Operator_Pool::selector(const unsigned int index) const
+ {
+ assert(index < _selectors.size());
+ return _selectors[index];
+ }
+
+ const Rlist<Selection>& Operator_Pool::selectors() const
+ {
+ return _selectors;
+ }
+
+ Inter_Operator& Operator_Pool::inter_operator(const unsigned int index) const
+ {
+ assert(index < _inter_operators.size());
+ return _inter_operators[index];
+ }
+
+ const Rlist<Inter_Operator>& Operator_Pool::inter_operators() const
+ {
+ return _inter_operators;
+ }
+
+ Operator_Pool::~Operator_Pool()
+ {}
+
+// Solver (superclasse)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ current_population(pbm,setup),
+ best_cost((-1) * pbm.direction() * infinity()),
+ worst_cost((-1) * best_cost),
+ best_solution(problem),
+ average_cost(0.0),
+ standard_deviation(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_evaluations("_current_evaluations",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_worst_cost("_current_worst_cost",_sc),
+ _current_average_cost("_current_average_cost",_sc),
+ _current_standard_deviation("_current_standard_deviation",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _best_solution_trial("_best_sol_trial",_sc),
+ _best_cost_trial("_best_cost_trial",_sc),
+ _worst_cost_trial("_worst_cost_trial",_sc),
+ _iteration_best_found_in_trial("_iteration_best_found_in_trial",_sc),
+ _evaluations_best_found_in_trial("_evaluations_best_found_in_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found",_sc),
+ _evaluations_best_found("_evaluations_best_found",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _global_worst_cost("_global_worst_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _crossover_probability("_crossover_probability",_sc),
+ _diverge_probability("_diverge_probability",_sc),
+ _migration_rate("_migration_rate",_sc),
+ _migration_size("_migration_size",_sc),
+ _migration_selection_1("_migration_selection_1",_sc),
+ _migration_selection_2("_migration_selection_2",_sc),
+ _migration_selection_conf_1("_migration_selection_conf_1",_sc),
+ _migration_selection_conf_2("_migration_selection_conf_2",_sc),
+ _select_parents("_select_parents",_sc),
+ _select_offsprings("_select_offsprings",_sc),
+ _parameter_select_new_pop("_parameter_select_new_pop",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_evaluations(0);
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ best_solution_trial(best_solution);
+ best_cost_trial(best_cost);
+ worst_cost_trial(worst_cost);
+ iteration_best_found_in_trial(0);
+ evaluations_best_found_in_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ evaluations_best_found(0);
+ global_best_solution(best_solution);
+ global_best_cost(best_cost);
+ global_worst_cost(worst_cost);
+ time_best_found(total_time_spent);
+
+ float prob[MAX_PROB_PER_OP] = {0.0};
+ crossover_probability(prob);
+ diverge_probability(prob);
+
+ char aux[] = "_user_op_probability";
+ char nombre[30];
+ for(int i = 0; i < MAX_USER_OP; i++)
+ {
+ sprintf(nombre,"%s%d",aux,i);
+ _user_op_probability[i].set_name((char *)nombre);
+ _sc.add(_user_op_probability[i]);
+ user_op_probability(i,prob);
+ }
+
+ migration_rate(0);
+ migration_size(0);
+ migration_selection_1(0);
+ migration_selection_2(0);
+ migration_selection_conf_1(0);
+ migration_selection_conf_2(0);
+ select_parents(0);
+ select_offsprings(0);
+ parameter_select_new_pop(0.0);
+ display_state(setup.display_state());
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ void Solver::end_trial(bool et)
+ {
+ _end_trial = et;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _current_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_iteration.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_evaluations() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_evaluations.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _current_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_average_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_average_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_standard_deviation() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_standard_deviation.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::best_solution_trial() const
+ {
+ Solution sol(problem);
+ char data_stored[_best_solution_trial.get_nitems() + _best_solution_trial.get_length()];
+ unsigned long nitems,length;
+ _best_solution_trial.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::best_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _best_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::worst_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _worst_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _global_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::global_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _display_state.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float *Solver::crossover_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_crossover_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::diverge_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_diverge_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::user_op_probability(const int index) const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.get_contents_state_variable(aux,(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ unsigned int Solver::migration_rate() const
+ {
+ unsigned int rate=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&rate,nitems,length);
+ return rate;
+ }
+
+ unsigned int Solver::migration_size() const
+ {
+ unsigned int size=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_size",(char *)&size,nitems,length);
+ return size;
+ }
+
+ unsigned int Solver::migration_selection_1() const
+ {
+ unsigned int selection_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&selection_1,nitems,length);
+ return selection_1;
+ }
+
+ unsigned int Solver::migration_selection_2() const
+ {
+ unsigned int selection_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&selection_2,nitems,length);
+ return selection_2;
+ }
+
+ unsigned int Solver::migration_selection_conf_1() const
+ {
+ unsigned int selection_conf_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,nitems,length);
+ return selection_conf_1;
+ }
+
+ unsigned int Solver::migration_selection_conf_2() const
+ {
+ unsigned int selection_conf_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,nitems,length);
+ return selection_conf_2;
+ }
+
+ unsigned int Solver::select_parents() const
+ {
+ unsigned int select_parents=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&select_parents,nitems,length);
+ return select_parents;
+ }
+
+ unsigned int Solver::select_offprings() const
+ {
+ unsigned int select_offsprings=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&select_offsprings,nitems,length);
+ return select_offsprings;
+ }
+
+ float Solver::parameter_select_new_pop() const
+ {
+ float parameter_select_new_pop;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_parameter_select_new_pop",(char *)¶meter_select_new_pop,nitems,length);
+ return parameter_select_new_pop;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _current_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _current_iteration.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_evaluations(const unsigned long value)
+ {
+ _current_evaluations.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _current_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _current_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_worst_cost(const double value)
+ {
+ _current_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_average_cost(const double value)
+ {
+ _current_average_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_standard_deviation(const double value)
+ {
+ _current_standard_deviation.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::best_solution_trial(const Solution& sol)
+ {
+ _best_solution_trial.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::best_cost_trial(const double value)
+ {
+ _best_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::worst_cost_trial(const double value)
+ {
+ _worst_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::iteration_best_found_in_trial(const unsigned int value)
+ {
+ _iteration_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found_in_trial(const unsigned int value)
+ {
+ _evaluations_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found(const unsigned int value)
+ {
+ _evaluations_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _global_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _global_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::global_worst_cost(const double value)
+ {
+ _global_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _display_state.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::crossover_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_crossover_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::diverge_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_diverge_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::user_op_probability(const int index, const float *new_probability)
+ {
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.set_contents_state_variable(aux,(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::migration_rate(const unsigned int rate)
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&rate,1,sizeof(int));
+ }
+
+ void Solver::migration_size(const unsigned int size)
+ {
+ _sc.set_contents_state_variable("_migration_size",(char *)&size,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_1(const unsigned int selection_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&selection_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_2(const unsigned int selection_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&selection_2,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_1(const unsigned int selection_conf_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_2(const unsigned int selection_conf_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,1,sizeof(int));
+ }
+
+ void Solver::select_parents(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::select_offsprings(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::parameter_select_new_pop(const float value)
+ {
+ _sc.set_contents_state_variable("_parameter_select_new_pop",(char *)&value,1,sizeof(float));
+ }
+
+ Statistics& Solver::statistics()
+ {
+ return _stat;
+ }
+
+ UserStatistics& Solver::userstatistics()
+ {
+ return _userstat;
+ }
+
+ Population& Solver::population()
+ {
+ return current_population;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool worseG=false;
+ bool betterT=false;
+ bool worseT=false;
+
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost > global_worst_cost());
+ betterT = (best_cost < best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost > worst_cost_trial());
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost < global_worst_cost());
+ betterT = (best_cost > best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost < worst_cost_trial());
+ break;
+ }
+
+ if (betterT)
+ {
+ best_solution_trial(best_sol);
+ best_cost_trial(best_cost);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_in_trial(current_iteration());
+ evaluations_best_found_in_trial(current_evaluations());
+ if (betterG)
+ {
+ global_best_solution(best_sol);
+ global_best_cost(best_cost);
+ time_best_found(time_spent_in_trial);
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ evaluations_best_found(current_evaluations());
+ }
+ }
+
+ if (worseT)
+ {
+ worst_cost_trial(worst_cost);
+ if (worseG)
+ global_worst_cost(worst_cost);
+ }
+ }
+
+ StateCenter *Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::RefreshCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).RefreshState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).RefreshState(_sc);
+ for (int i=0;i<params.pool().selectors().size();i++)
+ params.pool().selector(i).RefreshState(_sc);
+ params.RefreshState(_sc);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ best_solution=current_best_solution();
+ best_cost=current_best_cost();
+ worst_cost=current_worst_cost();
+ average_cost=current_average_cost();
+ standard_deviation=current_standard_deviation();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).UpdateFromState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).UpdateFromState(_sc);
+ for (int i=0;i<params.pool().selectors().size();i++)
+ params.pool().selector(i).UpdateFromState(_sc);
+ params.UpdateFromState(_sc);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << " Current State ---------------------------------------------" << endl;
+/* cout << endl << "Selection parents -> " << select_parents();
+ cout << endl << "Parameter of selection: " << parameter_select_parents();
+ cout << endl << "Selection offsprings -> " << select_offprings();
+ cout << endl << "Parameter of selection: " << parameter_select_offsprings() << endl;
+ cout << endl << "Crossover_probability: " << crossover_probability();
+ cout << endl << "Mutation_probability: " << mutation_probability();
+ cout << endl << "User_Operator_probability: " << user_op_probability(0);
+ cout << endl << "Migration_rate: " << migration_rate();
+ cout << endl << "Migration_size: " << migration_size();
+ cout << endl << "Migration_selection_1: " << migration_selection_1();
+ cout << endl << "Migration_selection_conf_1: " << migration_selection_conf_1();
+ cout << endl << "Migration_selection_2: " << migration_selection_2();
+ cout << endl << "Migration_selection_conf_2: " << migration_selection_conf_2() << endl;
+*/ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current evaluations: " << current_evaluations();
+ cout << endl << "Current best cost: " << current_best_cost();
+ cout << endl << "Current worst cost: " << current_worst_cost();
+ cout << endl << "Current Average cost: " << current_average_cost();
+ cout << endl << "Current Standard Deviation: " << current_standard_deviation();
+ cout << endl << endl << "Trial: ";
+ cout << endl << "Best cost trial: " << best_cost_trial();
+ cout << endl << "Worst cost trial: " << worst_cost_trial();
+ cout << endl << "Iteration best found in trial: " << iteration_best_found_in_trial();
+ cout << endl << "Time best found trial: " << time_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << endl << "Global: ";
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Global worst cost: " << global_worst_cost();
+ cout << endl << "Trial best found: " << trial_best_found();
+ cout << endl << "Iteration best found: " << iteration_best_found();
+ cout << endl << "Time best found: " << time_best_found();
+// cout << endl << endl << "Best Solution: " << endl << global_best_solution();
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ }
+
+// Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Seq::StartUp(const Population& pop)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ time_best_found_trial(0.0);
+
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ UpdateFromCfgState();
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ if( (current_iteration() % params.refresh_global_state()) == 0)
+ UpdateFromCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs() )
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Seq::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ void Solver_Seq::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ // Solver LAN ------------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Lan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Lan::send_local_state_to(int _mypid) {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_solution_trial()
+ << current_best_solution()
+ << best_cost_trial()
+ << worst_cost_trial()
+ << time_best_found_trial()
+ << current_best_cost()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state() {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_solution_trial
+ >> best_solution
+ >> _best_cost_trial
+ >> _worst_cost_trial
+ >> _time_best_found_in_trial
+ >> best_cost
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualizaci�n de las estad�sticas // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Lan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Wan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_cost_trial()
+ << best_solution_trial()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << time_best_found_trial()
+ << worst_cost_trial()
+ << current_best_cost()
+ << current_best_solution()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state()
+ {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_cost_trial
+ >> _best_solution_trial
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ >> _time_best_found_in_trial
+ >> _worst_cost_trial
+ >> best_cost
+ >> best_solution
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Update Stats // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Wan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+
+ }
+ _netstream << barrier;
+ }
+
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/CHC.pro.o b/ProyectoFinal/CHC/malva/rep/CHC/CHC.pro.o
new file mode 100644
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HcmV?d00001
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/CHC.req.cc b/ProyectoFinal/CHC/malva/rep/CHC/CHC.req.cc
new file mode 100644
index 0000000..df05c01
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/CHC.req.cc
@@ -0,0 +1,332 @@
+#ifndef INC_REQ_CHC
+#define INC_REQ_CHC
+#include "CHC.hh"
+#include <math.h>
+
+skeleton CHC
+{
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm._dimension);
+
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+
+ Problem::~Problem()
+ {}
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.dimension();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+
+ double Solution::fitness () const
+ {
+ double fitness = 0.0;
+
+ if(_var[0] == 2) return 0.0;
+
+ for (int i=0;i<_var.size();i++)
+ fitness += _var[i];
+
+ return fitness;
+ }
+
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+ int Solution::lengthInBits() const
+ {
+ return _pbm.dimension();
+ }
+
+ void Solution::flip(const int index)
+ {
+ _var[index] = 1 - _var[index];
+ }
+
+ bool Solution::equalb(const int index,Solution &s)
+ {
+ return _var[index] == s._var[index];
+ }
+
+ void Solution::swap(const int index, Solution &s)
+ {
+ int aux = s._var[index];
+ s._var[index] = _var[index];
+ _var[index] = aux;
+ }
+
+ void Solution::invalid()
+ {
+ _var[0] = 2;
+ }
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+ // UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].worst_cost_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_iteration_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if( (solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().nb_evolution_steps())
+ && !terminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial = solver.evaluations_best_found_in_trial();
+ new_stat->nb_iteration_best_found_trial = solver.iteration_best_found_in_trial();
+ new_stat->worst_cost_trial = solver.worst_cost_trial();
+ new_stat->best_cost_trial = solver.best_cost_trial();
+ new_stat->time_best_found_trial = solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+ // User_Operator:Intra_operator ---------------------------------------------------------
+
+ User_Operator::User_Operator(const unsigned int _number_op):Intra_Operator(_number_op)
+ {}
+
+ void User_Operator::execute(Rarray<Solution*>& sols) const
+ {}
+
+ void User_Operator::setup(char line[MAX_BUFFER])
+ {}
+
+ Intra_Operator *User_Operator::create(const unsigned int _number_op)
+ {
+ return new User_Operator(_number_op);
+ }
+
+ ostream& operator<< (ostream& os, const User_Operator& u_op)
+ {
+ os << "User Operator.";
+ return os;
+ }
+
+ void User_Operator::RefreshState(const StateCenter& _sc) const
+ {}
+
+ void User_Operator::UpdateFromState(const StateCenter& _sc)
+ {}
+
+ User_Operator::~User_Operator()
+ {}
+
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.best_cost_trial() == pbm.dimension());
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool terminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+ StopCondition_1 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+#endif
+
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/CHC.req.o b/ProyectoFinal/CHC/malva/rep/CHC/CHC.req.o
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diff --git a/ProyectoFinal/CHC/malva/rep/CHC/CHCstructures.hh b/ProyectoFinal/CHC/malva/rep/CHC/CHCstructures.hh
new file mode 100644
index 0000000..70aba85
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/CHCstructures.hh
@@ -0,0 +1,29 @@
+#ifndef INC_CHC_mallba_hh
+#define INC_CHC_mallba_hh
+
+#include <iostream>
+#include <fstream>
+#include <math.h>
+#include <limits.h>
+#include <float.h>
+#include <Rlist.h>
+#include <Rarray.h>
+#include <Messages.h>
+#include <mallba.hh>
+#include <States.hh>
+#include <random.hh>
+#include <time.hh>
+#include <netstream.hh>
+#include <assert.h>
+
+using namespace std;
+
+struct individual // index of a individual in the population and its fitness
+{
+ int index;
+ double fitness;
+ double sel_parameter;
+ bool change;
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/Config.cfg b/ProyectoFinal/CHC/malva/rep/CHC/Config.cfg
new file mode 100644
index 0000000..b34042e
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/Config.cfg
@@ -0,0 +1,3 @@
+CHC.cfg
+../../ProblemInstances/ONEMAX-instances/onemax10.txt
+res/om10.chc.lan.txt
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/MainLan b/ProyectoFinal/CHC/malva/rep/CHC/MainLan
new file mode 100644
index 0000000000000000000000000000000000000000..f71c6e405ea5e9ef5a0fe9ad9c3c33807afa6d2a
GIT binary patch
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diff --git a/ProyectoFinal/CHC/malva/rep/CHC/MainLan.cc b/ProyectoFinal/CHC/malva/rep/CHC/MainLan.cc
new file mode 100644
index 0000000..279b550
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/MainLan.cc
@@ -0,0 +1,49 @@
+#include <iostream>
+#include <fstream>
+#include "CHC.hh"
+
+using namespace std;
+
+int main (int argc, char** argv)
+{
+ using skeleton CHC;
+ char path[MAX_BUFFER] = "";
+
+ system("clear");
+
+ strcat(path,argv[1]);
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(path,MAX_BUFFER,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(path,MAX_BUFFER,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(path,MAX_BUFFER,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/MainLan.o b/ProyectoFinal/CHC/malva/rep/CHC/MainLan.o
new file mode 100644
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diff --git a/ProyectoFinal/CHC/malva/rep/CHC/MainSeq b/ProyectoFinal/CHC/malva/rep/CHC/MainSeq
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diff --git a/ProyectoFinal/CHC/malva/rep/CHC/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/CHC/MainSeq.cc
new file mode 100644
index 0000000..4c291f8
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/MainSeq.cc
@@ -0,0 +1,43 @@
+#include <iostream>
+#include <fstream>
+#include "CHC.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton CHC;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solution" << solver.global_best_solution() << endl
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/MainSeq.o b/ProyectoFinal/CHC/malva/rep/CHC/MainSeq.o
new file mode 100644
index 0000000000000000000000000000000000000000..2f4acd33d6c1a0632a10acbd32adcc384510244b
GIT binary patch
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diff --git a/ProyectoFinal/CHC/malva/rep/CHC/MainWan.cc b/ProyectoFinal/CHC/malva/rep/CHC/MainWan.cc
new file mode 100644
index 0000000..4ee19e5
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/MainWan.cc
@@ -0,0 +1,52 @@
+#include "CHC.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton CHC;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/Makefile b/ProyectoFinal/CHC/malva/rep/CHC/Makefile
new file mode 100644
index 0000000..3225d38
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/CHC/Makefile
@@ -0,0 +1,24 @@
+include ../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq *.o *% *~
+
+MainSeq: CHC.req.o CHC.pro.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainLan: CHC.req.o CHC.pro.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: CHC.req.o CHC.pro.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -np 10 ./MainLan Config.cfg
+
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+
+SEQ:
+ ./MainSeq CHC.cfg ../../ProblemInstances/ONEMAX-instances/onemax10.txt res/sol.txt
diff --git a/ProyectoFinal/CHC/malva/rep/CHC/res/empty.txt b/ProyectoFinal/CHC/malva/rep/CHC/res/empty.txt
new file mode 100644
index 0000000..e69de29
diff --git a/ProyectoFinal/CHC/malva/rep/GA/Config.cfg b/ProyectoFinal/CHC/malva/rep/GA/Config.cfg
new file mode 100644
index 0000000..ad19d32
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/Config.cfg
@@ -0,0 +1,3 @@
+newGA.cfg
+../../ProblemInstances/ONEMAX-instances/onemax10.txt
+res/om10.newga.lan.txt
diff --git a/ProyectoFinal/CHC/malva/rep/GA/MainLan b/ProyectoFinal/CHC/malva/rep/GA/MainLan
new file mode 100644
index 0000000000000000000000000000000000000000..4412f1cad77b8b6332c1c698973a12e75d51ddba
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diff --git a/ProyectoFinal/CHC/malva/rep/GA/MainLan.cc b/ProyectoFinal/CHC/malva/rep/GA/MainLan.cc
new file mode 100644
index 0000000..494e82e
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/MainLan.cc
@@ -0,0 +1,53 @@
+#include "newGA.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton newGA;
+
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solution: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/GA/MainLan.o b/ProyectoFinal/CHC/malva/rep/GA/MainLan.o
new file mode 100644
index 0000000000000000000000000000000000000000..9385dd20caa64bf3c0a87783a4225bf3b2e79568
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HcmV?d00001
diff --git a/ProyectoFinal/CHC/malva/rep/GA/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/GA/MainSeq.cc
new file mode 100644
index 0000000..d4a7c14
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/MainSeq.cc
@@ -0,0 +1,41 @@
+#include "newGA.hh"
+
+int main (int argc, char** argv)
+{
+ using skeleton newGA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ Operator_Pool pool(pbm);
+ SetUpParams cfg(pool);
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solution: " << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/GA/MainSeq.o b/ProyectoFinal/CHC/malva/rep/GA/MainSeq.o
new file mode 100644
index 0000000000000000000000000000000000000000..155133b817cf52480267b552dd709539a640c87c
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HcmV?d00001
diff --git a/ProyectoFinal/CHC/malva/rep/GA/Makefile b/ProyectoFinal/CHC/malva/rep/GA/Makefile
new file mode 100644
index 0000000..71b1892
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/Makefile
@@ -0,0 +1,24 @@
+include ../../environment
+
+all: MainLan MainSeq
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: newGA.req.o newGA.pro.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: newGA.req.o newGA.pro.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: newGA.req.o newGA.pro.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -np 10 ./MainLan Config.cfg
+
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+
+SEQ:
+ ./MainSeq newGA.cfg ../../ProblemInstances/ONEMAX-instances/onemax10.txt res/sol.txt
\ No newline at end of file
diff --git a/ProyectoFinal/CHC/malva/rep/GA/asignacion_colores.csv b/ProyectoFinal/CHC/malva/rep/GA/asignacion_colores.csv
new file mode 100644
index 0000000..8384036
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/asignacion_colores.csv
@@ -0,0 +1,10 @@
+1,5
+2,5
+3,5
+4,5
+5,5
+6,5
+7,5
+8,0
+9,4
+10,4
diff --git a/ProyectoFinal/CHC/malva/rep/GA/datos_cantidad_empleados b/ProyectoFinal/CHC/malva/rep/GA/datos_cantidad_empleados
new file mode 100644
index 0000000..7813681
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/datos_cantidad_empleados
@@ -0,0 +1 @@
+5
\ No newline at end of file
diff --git a/ProyectoFinal/CHC/malva/rep/GA/datos_cantidad_tareas b/ProyectoFinal/CHC/malva/rep/GA/datos_cantidad_tareas
new file mode 100644
index 0000000..301160a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/datos_cantidad_tareas
@@ -0,0 +1 @@
+8
\ No newline at end of file
diff --git a/ProyectoFinal/CHC/malva/rep/GA/datos_empleados b/ProyectoFinal/CHC/malva/rep/GA/datos_empleados
new file mode 100644
index 0000000..f7cc5e5
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/datos_empleados
@@ -0,0 +1,4 @@
+e1 e2 e3 e4 e5
+4 5 5 3 3
+0.05 0.20 0.30 0.95 0.50
+120 200 210 230 180
diff --git a/ProyectoFinal/CHC/malva/rep/GA/datos_tareas b/ProyectoFinal/CHC/malva/rep/GA/datos_tareas
new file mode 100644
index 0000000..589272f
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/datos_tareas
@@ -0,0 +1,3 @@
+20
+t1 t2 t3 t4 t5 t6 t7 t8
+16 28 11 51 2 23 43 15
diff --git a/ProyectoFinal/CHC/malva/rep/GA/ejercicio2.py b/ProyectoFinal/CHC/malva/rep/GA/ejercicio2.py
new file mode 100644
index 0000000..6705a02
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/ejercicio2.py
@@ -0,0 +1,131 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import sys
+import random
+import math
+import os
+
+try:
+ #Sanity check
+ if (len(sys.argv)<4):
+ print "Ejecutar con la siguiente linea: ./ejercicio2 <ruta_tareas> <ruta_empleados> <ruta_solucion>"
+ sys.exit(1)
+
+ ruta_tareas=sys.argv[1]
+ ruta_empleados=sys.argv[2]
+ ruta_solucion=sys.argv[3]
+
+ os.system("make clean")
+ os.system("make all")
+ os.system("make SEQ")
+
+ #os.system("python verificador.py " + ruta_tareas + " " + ruta_empleados + " " + ruta_solucion)
+
+ """
+ habilidad_empleados=[]
+ sueldo_diario_empleado=[]
+ dedicacion_diaria_diponible_empleado=[]
+ esfuerzo_requerido_tarea=[]
+ nombres_tareas=[]
+ nombre_empleados=[]
+ costo_proyecto=0
+ tiempo_solucion_proyecto=0
+
+ # se sabe que son 3 lineas
+ archivo_tareas=open(ruta_tareas)
+ lineasTareas=archivo_tareas.readlines()
+ deadLine=lineasTareas[0]
+ nombres_tareas=lineasTareas[1].strip().split(" ")
+ esfuerzo_requerido_tarea=lineasTareas[2].strip().split(" ")
+
+ # se sabe que son 4 lineas
+ archivo_empleados=open(ruta_empleados)
+ lineasEmpleados=archivo_empleados.readlines()
+ nombre_empleados=lineasEmpleados[0].strip().split(" ")
+ dedicacion_diaria_diponible_empleado=lineasEmpleados[1].strip().split(" ")
+ habilidad_empleados=lineasEmpleados[2].strip().split(" ")
+ sueldo_diario_empleado=lineasEmpleados[3].strip().split(" ")
+
+ # se convierten a entero
+ dedicacion_diaria_diponible_empleado = map(int, dedicacion_diaria_diponible_empleado)
+ sueldo_diario_empleado = map(int, sueldo_diario_empleado)
+ deadLine=int(deadLine)
+ esfuerzo_requerido_tarea = map(int, esfuerzo_requerido_tarea)
+
+ # se convierte a float
+ habilidad_empleados = map(float, habilidad_empleados)
+
+ # se levanta la solucion del archivo
+ matriz_solucion=[]
+
+ archivo_solucion=open(ruta_solucion)
+
+ solucion_empleados_tareas=[]
+ solucion_empleados=[]
+ solucion_tareas=[]
+
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ if( not (empleados_tareas[0] in nombre_empleados)):
+ print "No existe en la instancia el empleado: " + empleados_tareas[0]
+ sys.exit(1)
+ solucion_empleados.append(empleados_tareas[0])
+ for i in range(1,len(empleados_tareas)):
+ if( not (empleados_tareas[i] in nombres_tareas)):
+ print "No existe en la instancia la terea: " + empleados_tareas[i]
+ sys.exit(1)
+ solucion_tareas.append(empleados_tareas[i])
+
+
+ for i in range(0,len(solucion_empleados)):
+ for j in range(i+1,len(solucion_empleados)):
+ if(solucion_empleados[i]==solucion_empleados[j]):
+ print "Empleado repetido: " + solucion_empleados[i]
+ sys.exit(1)
+
+ for i in range(0,len(solucion_tareas)):
+ for j in range(i+1,len(solucion_tareas)):
+ if(solucion_tareas[i]==solucion_tareas[j]):
+ print "Tarea asignada más de una vez: " + solucion_tareas[i]
+ sys.exit(1)
+
+
+ # todas las tareas asignadas
+ if(len(solucion_tareas)!=len(nombres_tareas)):
+ print "La cantidad de tareas asignadas es distinta a la cantidad de tareas de la instancia."
+ sys.exit(1)
+
+ for i in range(0,len(nombres_tareas)):
+ if( not (nombres_tareas[i] in solucion_tareas)):
+ print "Tarea no asignada " + nombres_tareas[i]
+ sys.exit(1)
+
+ costo_total=0
+ archivo_solucion=open(ruta_solucion)
+ maximo_tiempo=0
+ tiempo_en_dias=0
+ # se hacen los calculos con la informacion en los archivos
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ indice_empleado = nombre_empleados.index(empleados_tareas[0])
+ tiempo_en_horas=0
+ for i in range(1,len(empleados_tareas)):
+ indice_tarea = nombres_tareas.index(empleados_tareas[i])
+ tiempo_en_horas=tiempo_en_horas+(esfuerzo_requerido_tarea[indice_tarea] / (0.5 + habilidad_empleados[indice_empleado]))
+ tiempo_en_dias= int(math.ceil(tiempo_en_horas/dedicacion_diaria_diponible_empleado[indice_empleado]))
+ costo_total=costo_total+sueldo_diario_empleado[indice_empleado]*tiempo_en_dias
+ if(tiempo_en_dias>maximo_tiempo):
+ maximo_tiempo=tiempo_en_dias
+
+ if(maximo_tiempo<=deadLine):
+ # todo OK!
+ print costo_total,maximo_tiempo
+ else:
+ print "No cumple con el tiempo máximo de finalización ({0} > {1}).".format(maximo_tiempo, deadLine)
+ sys.exit(1)
+
+ """
+
+except IOError as error:
+ print error
diff --git a/ProyectoFinal/CHC/malva/rep/GA/generador.py b/ProyectoFinal/CHC/malva/rep/GA/generador.py
new file mode 100644
index 0000000..c699bd6
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/generador.py
@@ -0,0 +1,143 @@
+import sys
+import random
+import math
+from collections import defaultdict
+
+try:
+ #Constantes
+ mayor_duracion_horas_tarea=200
+ menor_duracion_horas_tarea=12
+ mayor_disponibilidad_diaria_horas_empleado=10
+ menor_disponibilidad_diaria_horas_empleado=1
+ sueldo_hora_base_empleado_sin_experiencia=110
+ sueldo_valor_maximo_bono_por_buen_empleado_hora=23
+ deadline_dias=0
+
+ #Sanity check
+ if (len(sys.argv)<4):
+ print "Ejecutar con la siguiente linea: ./generador <cant_tereas> <cant_empleados> <archivo_salida>"
+ sys.exit(1)
+
+ cantidad_tareas=int(sys.argv[1])
+ cantidad_empleados=int(sys.argv[2])
+ archivo_salida=sys.argv[3]
+
+ if (cantidad_tareas<1):
+ print "La cantidad de tareas debe ser mayor o igual a 1."
+ sys.exit(1)
+
+
+ if (cantidad_empleados<1):
+ print "La cantidad de empleados debe ser mayor o igual a 1."
+ sys.exit(1)
+
+ if (cantidad_empleados>cantidad_tareas):
+ print "La cantidad de empleados debe ser menor a la cantidad de tareas."
+ sys.exit(1)
+
+
+ #VARIABLES:
+
+ #habilidades de los empleados valor entre 0 y 1
+ habilidad_empleados=[]
+ sueldo_semanal_empleado=[]
+ dedicacion_diaria_diponible_empleado=[]
+ esfuerzo_requerido_tarea=[]
+
+ for i in range(0,cantidad_empleados):
+ dedicacion_diaria_diponible_empleado.append(random.randint(menor_disponibilidad_diaria_horas_empleado,mayor_disponibilidad_diaria_horas_empleado))
+
+ for i in range(0,cantidad_empleados):
+ habilidad_empleados.append(round(random.uniform(0, 1),2))
+
+ #los empleados cobran un bono (random) de rendimiento
+ #empleados con habilidad 0 cobran el sueldo de horas base por la cantidad de horas semanales
+ #empleados con habilidad mayor a 0 cobran un plus por habilidad proporcional a su habilidad
+ #empleado con habilidad 1 cobra aproximadamente el doble que el de experiencia 0
+ for i in range(0,cantidad_empleados):
+ bono_por_buen_empleado=random.randint(0,sueldo_valor_maximo_bono_por_buen_empleado_hora)
+ sueldo_base=sueldo_hora_base_empleado_sin_experiencia+bono_por_buen_empleado
+ plus_por_experiencia=sueldo_hora_base_empleado_sin_experiencia*habilidad_empleados[i]
+ sueldo_semanal_empleado.append(int(math.ceil((sueldo_base+plus_por_experiencia)*dedicacion_diaria_diponible_empleado[i])))
+
+ for i in range(0,cantidad_tareas):
+ esfuerzo_requerido_tarea.append(random.randint(menor_duracion_horas_tarea,mayor_duracion_horas_tarea))
+
+ ######################
+ #calculo del deadline
+ ######################
+
+
+ tiempo_ocupado_empleado = {}
+ for indice_empleado in range(0,cantidad_empleados):
+ tiempo_ocupado_empleado[indice_empleado]=0
+
+ tiempo_en_horas=0
+ tiempo_en_dias_con_decimales=0
+ indice_empleado_menor_tiempo=0
+ for indice_tarea in range(0,cantidad_tareas):
+ minimo_tiempo=sys.float_info.max
+ for indice_empleado in range(0,cantidad_empleados):
+ tiempo_en_horas=(esfuerzo_requerido_tarea[indice_tarea] / (0.5 + habilidad_empleados[indice_empleado]))
+ tiempo_en_dias_con_decimales= tiempo_en_horas/dedicacion_diaria_diponible_empleado[indice_empleado]
+ tiempo_en_el_que_termina_si_se_le_da_esta_tarea=tiempo_ocupado_empleado[indice_empleado]+tiempo_en_dias_con_decimales
+ if(tiempo_en_el_que_termina_si_se_le_da_esta_tarea < minimo_tiempo):
+ indice_empleado_menor_tiempo=indice_empleado
+ minimo_tiempo=tiempo_en_el_que_termina_si_se_le_da_esta_tarea
+ tiempo_ocupado_empleado[indice_empleado_menor_tiempo]=minimo_tiempo
+
+
+ deadline_dias=0
+ #busca maxima duracion
+ for indice_empleado in range(0,cantidad_empleados):
+ if(tiempo_ocupado_empleado[indice_empleado]>deadline_dias):
+ deadline_dias=tiempo_ocupado_empleado[indice_empleado]
+
+ #print tiempo_ocupado_empleado
+ #se redondean los dias para pagar el dia entero a los que trabajan menos
+ deadline_dias=int(math.ceil(deadline_dias))*1.2
+
+ #archivo de salida de empleados
+ archivo = open ("%s_empleados"%archivo_salida, "w")
+ archivo.write("e%d"%1)
+ for i in range(1,cantidad_empleados):
+ #nombre del empleado
+ archivo.write(" e%d"%(i+1))
+ archivo.write("\n")
+ archivo.write("%d"%dedicacion_diaria_diponible_empleado[0])
+ for i in range(1,cantidad_empleados):
+ archivo.write(" %d"%dedicacion_diaria_diponible_empleado[i])
+ archivo.write("\n")
+ archivo.write("%.2f"%habilidad_empleados[0])
+ for i in range(1,cantidad_empleados):
+ archivo.write(" %.2f"%habilidad_empleados[i])
+ archivo.write("\n")
+ archivo.write("%d"%sueldo_semanal_empleado[0])
+ for i in range(1,cantidad_empleados):
+ archivo.write(" %d"%sueldo_semanal_empleado[i])
+
+ #archivo de salida de tareas
+ archivo = open ("%s_tareas"%archivo_salida, "w")
+ archivo.write("%d"%deadline_dias)
+ archivo.write("\n")
+ archivo.write("t%d"%1)
+ for i in range(1,cantidad_tareas):
+ #nombre de la tarea
+ archivo.write(" t%d"%(i+1))
+ archivo.write("\n")
+ archivo.write("%d"%esfuerzo_requerido_tarea[0])
+ for i in range(1,cantidad_tareas):
+ archivo.write(" %d"%esfuerzo_requerido_tarea[i])
+
+
+ #archivo cantidad de tareas
+ archivo = open ("%s_cantidad_tareas"%archivo_salida, "w")
+ archivo.write("%d"%cantidad_tareas)
+
+ #archivo cantidad de trabajos
+ archivo = open ("%s_cantidad_empleados"%archivo_salida, "w")
+ archivo.write("%d"%cantidad_empleados)
+
+
+except IOError as error:
+ print error
diff --git a/ProyectoFinal/CHC/malva/rep/GA/newGA.cfg b/ProyectoFinal/CHC/malva/rep/GA/newGA.cfg
new file mode 100644
index 0000000..c7caf7a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/newGA.cfg
@@ -0,0 +1,18 @@
+10 // number of independent runs
+100 // number of generations
+60 // number of individuals
+100 // size of offsprings in each generation
+1 // if replaces parents for offsprings, or only offsprings may be new parents
+1 // display state ?
+Selections // selections to apply
+1 3 // selection of parents
+2 0 // selection of offsprings
+Intra-Operators // operators to apply in the population
+0 0.6 // crossover & its probability
+1 1.0 0.01 // mutation & its probability
+Inter-Operators // operators to apply between this population and anothers
+0 10 5 1 3 1 5 // operator number, operator rate, number of individuals, selection of indidivual to send and remplace
+LAN-configuration
+1 // refresh global state
+0 // 0: running in asynchronized mode / 1: running in synchronized mode
+1 // interval of generations to check solutions from other populations
diff --git a/ProyectoFinal/CHC/malva/rep/GA/newGA.hh b/ProyectoFinal/CHC/malva/rep/GA/newGA.hh
new file mode 100644
index 0000000..552b264
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/newGA.hh
@@ -0,0 +1,868 @@
+/*********************************************************************************************************
+*** ***
+*** new Genetic Algorithm Skeleton v1.5 ***
+*** Developed by: Gabriel Jesús Luque Polo ***
+*** Last Update: 27-01-2003 ***
+*** ***
+*** tabular size = 4 ***
+**********************************************************************************************************/
+
+#ifndef INC_newGA
+#define INC_newGA
+#include "newGAstructures.hh"
+
+skeleton newGA
+{
+// Si se definen más de 5 nuevos operadores por parte del usuario, se debe cambiar esta constante.
+#define MAX_OP_USER 5
+// Si se algún operador tiene más de 5 parámetros se debe modificar esta variable
+#define MAX_PROB_PER_OP 5
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Population;
+ provides class Inter_Operator;
+ provides class Migration;
+ provides class Selection;
+ provides class Selection_Tournament;
+ provides class Selection_Roulette_Wheel;
+ provides class Selection_Rank;
+ provides class Selection_Best;
+ provides class Selection_Worst;
+ provides class Operator_Pool;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+ provides class StopCondition;
+
+ requires class Problem;
+ requires class Solution;
+ requires class UserStatistics;
+ requires class Intra_Operator;
+ requires class Crossover;
+ requires class Mutation;
+ requires class StopCondition_1;
+ requires bool terminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem();
+ ~Problem();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int cantDias() const;
+ int cantEmpleados() const;
+ int dimension() const;
+
+ Empleado * empleados() const;
+ int * tareasEsf() const;
+ int * tareasIndex() const;
+ int ** limite_barrios() const;
+ const char* getfield(char* line, int num);
+
+ private:
+ int _cantDias;
+ Empleado * _empleados;
+ int * _tareasEsf;
+ int * _tareasIndex;
+ int _cantEmpleados;
+ int _dimension;
+ int ** _limite_barrios;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_cadena_);
+
+ void initialize();
+ double fitness ();
+ unsigned int size() const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluation_best_found_trial;
+ unsigned long nb_iteration_best_found_trial;
+ double best_cost_trial;
+ double worst_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Intra_Operator ( clase abstracta ) --------------------------------------------------------------
+
+ requires class Intra_Operator
+ {
+ protected:
+ unsigned int _number_operator;
+ float *probability;
+
+ public:
+ Intra_Operator(const unsigned int _number_op);
+ virtual ~Intra_Operator();
+
+ static Intra_Operator *create(const unsigned int _number_op);
+ friend ostream& operator<< (ostream& os, const Intra_Operator& intra);
+
+ virtual void execute(Rarray<Solution*>& sols) const=0;
+ virtual void setup(char line[MAX_BUFFER]) = 0;
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const=0;
+ virtual void UpdateFromState(const StateCenter& _sc)=0;
+ };
+
+// Crossover ----------------------------------------------------------------------------------
+
+ requires class Crossover: public Intra_Operator
+ {
+ public:
+ Crossover();
+ virtual ~Crossover();
+
+ friend ostream& operator << (ostream& os, const Crossover& cross);
+
+ void cross(Solution &sol1,Solution &sol2) const;
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Mutation ----------------------------------------------------------------------------------
+
+ requires class Mutation: public Intra_Operator
+ {
+ public:
+ Mutation();
+ virtual ~Mutation();
+
+ friend ostream& operator<< (ostream& os, const Mutation& mutation);
+
+ void mutate(Solution& sol) const;
+ // applies mutation over all solutions in array sols
+ virtual void execute(Rarray<Solution*>& sols) const;
+ virtual void setup(char line[MAX_BUFFER]);
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+
+ };
+
+// StopCondition ----------------------------------------------------------------------------------
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+// StopCondition_1 {subclase-------------------------------------------------------------------------
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _nb_evolution_steps;
+ unsigned int _population_size; // number of individuals
+ unsigned int _population_additional_size; // size of offspring in each generation
+ bool _combine; // combines parents and offsprings to select new parents ?
+ bool _display_state;
+
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _check_asynchronous;
+
+ // selection of parents and offsprings
+ mutable unsigned int _select_parents;
+ mutable unsigned int _select_offsprings;
+ mutable unsigned int _parameter_select_parents;
+ mutable unsigned int _parameter_select_offsprings;
+
+ Rlist<unsigned int> _intra_operators;
+ Rlist<unsigned int> _inter_operators;
+
+ Operator_Pool& _pool;
+
+ public:
+ SetUpParams (Operator_Pool& pool);
+ Operator_Pool& pool() const;
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long nb_evolution_steps() const;
+ const unsigned int population_size() const;
+ const unsigned int population_additional_size() const;
+ const bool combine() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int check_asynchronous() const;
+
+ void independent_runs(const unsigned int val);
+ void nb_evolution_steps(const unsigned long val);
+ void population_size(const unsigned int val);
+ void population_additional_size(const unsigned int val);
+ void combine(const bool val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void check_asynchronous(const unsigned int val);
+
+ // gets the i-th operator of inter-population
+ const unsigned int inter_operator_index(const unsigned int index) const;
+ const unsigned int inter_operators_size() const;
+
+ // gets the i-th operator of intra-population
+ const unsigned int intra_operator_index(const unsigned int index) const;
+ const unsigned int intra_operators_size() const;
+
+ const unsigned int select_parents() const;
+ const unsigned int select_offsprings() const;
+ const unsigned int parameter_select_parents() const;
+ const unsigned int parameter_select_offsprings() const;
+
+ void select_parents(const unsigned int val);
+ void select_offsprings(const unsigned int val);
+ void parameter_select_parents(const unsigned int val);
+ void parameter_select_offsprings(const unsigned int val);
+
+ void RefreshState(const StateCenter& _sc) const;
+ void UpdateFromState(const StateCenter& _sc) const;
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_generation;
+ unsigned long nb_evaluation;
+ double best_cost;
+ double global_best_cost;
+ double average_cost;
+ double standard_deviation;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+ ~Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Population ---------------------------------------------------------------------------------
+
+ provides class Population
+ {
+ private:
+ Rarray<Solution*> _parents; // individuals in population
+ Rarray<Solution*> _offsprings; // offsprings of current population
+ Rarray<Solution*> _new_parents; // individuals of previous population
+ Rarray<struct individual> _fitness_values;
+ Rarray<struct individual> _fitness_aux;
+ const SetUpParams& _setup;
+ unsigned int _upper_cost,_lower_cost; // lower and upper fitness of individuals in population
+ unsigned long _evaluations;
+ double _average_cost;
+
+ inline void Evaluate(Solution* sols,struct individual &_f);
+
+ public:
+ Population(const Problem& pbm,const SetUpParams& setup); // crea un array de objetos population;
+ ~Population();
+
+ friend ostream& operator<< (ostream& os, const Population& population);
+ friend istream& operator>> (istream& is, Population& population);
+ Population& operator= (const Population& pop);
+ const SetUpParams& setup() const;
+ void initialize();
+
+ // Generate a new pool of individuals in population
+ void evolution();
+
+ // interchange solutions between island
+ void interchange(const unsigned long current_generation, NetStream& channel);
+
+ // creates a array with fitness of all individuals in population and its position in the population
+ void evaluate_parents();
+
+ // creates a array with fitness of all individuals and offsprings in population and its position in the population
+ void evaluate_offsprings();
+
+ // selects parents to creates offsprings
+ void select_parents();
+
+ // selects individuals for the new population
+ void select_offsprings();
+
+ const Rarray<Solution*>& parents() const;
+ const Rarray<Solution*>& offsprings() const;
+ Rarray<struct individual>& fitness_values();
+
+ unsigned int upper_cost() const;
+ unsigned int lower_cost() const;
+ unsigned int evaluations() const;
+ Solution& solution(const unsigned int index) const;
+ double fitness(const unsigned int index) const;
+
+ double best_cost() const;
+ double worst_cost() const;
+ Solution& best_solution() const;
+ Solution& worst_solution() const;
+ double average_cost() const;
+ double standard_deviation() const;
+ };
+
+// Inter_Operator ( abstract )-----------------------------------------------------------
+
+ provides class Inter_Operator
+ {
+ protected:
+ unsigned int migration_rate;
+ unsigned int migration_size;
+ unsigned int migration_selection_1;
+ unsigned int migration_selection_2;
+ unsigned int migration_selection_conf_1;
+ unsigned int migration_selection_conf_2;
+
+ unsigned int _number_operator;
+ const Direction direction;
+
+ public:
+ Inter_Operator(const unsigned int _number_op, const Direction dir);
+ virtual ~Inter_Operator();
+
+ friend ostream& operator<< (ostream& os, const Inter_Operator& inter);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const=0;
+ virtual void setup(char line[MAX_BUFFER]);
+ unsigned int number_operator() const;
+
+ virtual void RefreshState(const StateCenter& _sc) const;
+ virtual void UpdateFromState(const StateCenter& _sc);
+ };
+
+// Migration: public Inter_Operator -----------------------------------------------------------
+
+ provides class Migration: public Inter_Operator
+ {
+ public:
+ Migration(const Direction dir);
+ virtual ~Migration();
+
+ friend ostream& operator<< (ostream& os, const Migration& migration);
+
+ virtual void execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asyncrhonous) const;
+ };
+
+// Selection ( Makes a random selection ) -----------------------------------------
+
+ provides class Selection
+ {
+ protected:
+ unsigned int _number_selection;
+ const Direction direction;
+
+ public:
+
+ Selection(const Direction dir);
+ Selection(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection();
+
+ friend ostream& operator<< (ostream& os, const Selection& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ unsigned int number_selection() const;
+ };
+
+// Selection_Tournament ---------------------------------------------------------------------------------
+
+ provides class Selection_Tournament: public Selection
+ {
+ public:
+ Selection_Tournament(const Direction dir);
+ virtual ~Selection_Tournament();
+
+ friend ostream& operator<< (ostream& os, const Selection_Tournament& sel);
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tourment_size,const bool remplace) const;
+ };
+
+// Selection_Roulette_Wheel ---------------------------------------------------------------------------------
+
+ provides class Selection_Roulette_Wheel: public Selection
+ {
+ public:
+ Selection_Roulette_Wheel(const Direction);
+ virtual ~Selection_Roulette_Wheel();
+
+ friend ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const;
+ };
+
+// Selection_Rank ---------------------------------------------------------------------------------
+
+ provides class Selection_Rank: public Selection
+ {
+ public:
+ Selection_Rank(const Direction dir);
+ Selection_Rank(const unsigned int _number_sel, const Direction dir);
+ virtual ~Selection_Rank();
+
+ friend ostream& operator<< (ostream& os, const Selection_Rank& sel);
+
+ virtual void prepare(Rarray<struct individual>& fitness_values,const bool remplace); // const;
+ virtual void reset();
+
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const;
+ };
+
+// Selection_Best ---------------------------------------------------------------------------------
+
+ provides class Selection_Best: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_best_position;
+
+ public:
+ Selection_Best(const Direction);
+ virtual ~Selection_Best();
+
+ friend ostream& operator<< (ostream& os, const Selection_Best& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Selection_Worst ---------------------------------------------------------------------------------
+
+ provides class Selection_Worst: public Selection_Rank
+ {
+ private:
+ mutable unsigned int selection_worst_position;
+
+ public:
+ Selection_Worst(const Direction);
+ virtual ~Selection_Worst();
+
+ friend ostream& operator<< (ostream& os, const Selection_Worst& sel);
+
+ virtual void reset();
+ virtual struct individual select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const;
+ };
+
+// Operator_Pool -------------------------------------------------------------------------
+
+ // pool with all operators and selections that can be chosen in the setup file
+ provides class Operator_Pool
+ {
+ private:
+ mutable Rlist<Intra_Operator> _intra_operators;
+ Rlist<Selection> _selectors;
+ Rlist<Inter_Operator> _inter_operators;
+
+ public:
+ Operator_Pool(const Problem& pbm);
+ ~Operator_Pool();
+
+ Intra_Operator& intra_operator(const unsigned int index) const;
+ Rlist<Intra_Operator>& intra_operators() const;
+ Selection& selector(const unsigned int index) const;
+ const Rlist<Selection>& selectors() const;
+ Inter_Operator& inter_operator(const unsigned int index) const;
+ const Rlist<Inter_Operator>& inter_operators() const;
+
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Population current_population;
+ StateCenter _sc;
+
+ double best_cost;
+ double worst_cost;
+ Solution best_solution;
+ double average_cost;
+ double standard_deviation;
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_evaluations;
+
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_worst_cost;
+ State_Vble _current_average_cost;
+ State_Vble _current_standard_deviation;
+ State_Vble _current_time_spent;
+
+ State_Vble _best_solution_trial;
+ State_Vble _best_cost_trial;
+ State_Vble _worst_cost_trial;
+ State_Vble _iteration_best_found_in_trial;
+ State_Vble _evaluations_best_found_in_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _evaluations_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _global_worst_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _crossover_probability; // probability of applying the operator over population
+ State_Vble _mutation_probability; // probability of applying the operator over population
+ State_Vble _user_op_probability[MAX_OP_USER]; // probabilities of user operators
+ State_Vble _migration_rate;
+ State_Vble _migration_size;
+ State_Vble _migration_selection_1;
+ State_Vble _migration_selection_2;
+ State_Vble _migration_selection_conf_1;
+ State_Vble _migration_selection_conf_2;
+ State_Vble _select_parents;
+ State_Vble _select_offsprings;
+ State_Vble _parameter_select_parents;
+ State_Vble _parameter_select_offsprings;
+
+ State_Vble _display_state;
+
+
+ public:
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+
+ virtual int pid() const;
+ bool end_trial() const;
+ void end_trial(bool et);
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (const unsigned long int nb_generations) =0;
+ virtual void run (const Population& pop,const unsigned long int nb_generations) =0;
+
+ //Partial execution
+ virtual void StartUp()=0;
+ virtual void StartUp(const Population& pop)=0;
+
+ virtual void DoStep()=0;
+
+ // Statistics handling ----------------------------------------------------------------------
+
+ Statistics& statistics();
+ UserStatistics& userstatistics ();
+ Population& population();
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling ---------------------------------------------------------------------------
+
+ void RefreshState();
+ void RefreshCfgState();
+ void UpdateFromState();
+ void UpdateFromCfgState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ unsigned long current_evaluations() const;
+ Solution current_best_solution() const;
+ double current_best_cost() const;
+ double current_worst_cost() const;
+ double current_average_cost() const;
+ double current_standard_deviation() const;
+ float current_time_spent() const;
+ Solution best_solution_trial() const;
+ double best_cost_trial() const;
+ double worst_cost_trial() const;
+ unsigned int iteration_best_found_in_trial() const;
+ unsigned int evaluations_best_found_in_trial() const;
+ float time_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ unsigned int evaluations_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ double global_worst_cost() const;
+ float time_best_found() const;
+ int display_state() const;
+
+ float *crossover_probability() const;
+ float *mutation_probability() const;
+ float *user_op_probability(const int index) const;
+ unsigned int migration_rate() const;
+ unsigned int migration_size() const;
+ unsigned int migration_selection_1() const;
+ unsigned int migration_selection_2() const;
+ unsigned int migration_selection_conf_1() const;
+ unsigned int migration_selection_conf_2() const;
+ unsigned int select_parents() const;
+ unsigned int select_offprings() const;
+ unsigned int parameter_select_parents() const;
+ unsigned int parameter_select_offsprings() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_evaluations(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_worst_cost(const double value);
+ void current_average_cost(const double value);
+ void current_standard_deviation(const double value);
+ void current_time_spent(const float value);
+ void best_solution_trial(const Solution& sol);
+ void best_cost_trial(const double value);
+ void worst_cost_trial(const double value);
+ void iteration_best_found_in_trial(const unsigned int value);
+ void evaluations_best_found_in_trial(const unsigned int value);
+ void time_best_found_trial(const float value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void evaluations_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void global_worst_cost(const double value);
+ void time_best_found(const float value);
+ void display_state(const int value);
+
+ void crossover_probability(const float *probability);
+ void mutation_probability(const float *probability);
+ void user_op_probability(const int index,const float *probability);
+ void migration_rate(const unsigned int rate);
+ void migration_size(const unsigned int size);
+ void migration_selection_1(const unsigned int seleciton_1);
+ void migration_selection_2(const unsigned int selection_2);
+ void migration_selection_conf_1(const unsigned int selection_conf_1);
+ void migration_selection_conf_2(const unsigned int selection_conf_2);
+ void select_parents(const unsigned int selection);
+ void select_offsprings(const unsigned int selection);
+ void parameter_select_parents(const unsigned int value);
+ void parameter_select_offsprings(const unsigned int value);
+
+ void show_state() const;
+ void KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_trial,const float total_time_spent);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ int receive_local_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ unsigned long acum_iterations;
+ unsigned long acum_evaluations;
+
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ //Communication
+ void send_local_state_to(int _mypid);
+ void check_for_refresh_global_state();
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ int receive_local_state();
+
+ unsigned int _current_trial;
+ unsigned long _current_iteration;
+ unsigned long _current_evaluations;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ double _worst_cost_trial;
+ float _time_best_found_in_trial;
+ unsigned long _iteration_best_found_in_trial;
+ unsigned long _evaluations_best_found_in_trial;
+
+ // Termination phase //
+ bool final_phase;
+ unsigned long acum_iterations;
+ unsigned long acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods -----------------------------------------------------------------------
+
+ // Full execution
+ virtual void run ();
+ virtual void run (const unsigned long int nb_generations);
+ virtual void run (const Population& pop,const unsigned long int nb_generations);
+
+ //Partial execution
+ virtual void StartUp();
+ virtual void StartUp(const Population& pop);
+
+ virtual void DoStep();
+
+ //Communication
+ void send_local_state_to(int _mypid);
+ void check_for_refresh_global_state();
+ void reset();
+ };
+
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/GA/newGA.pro.cc b/ProyectoFinal/CHC/malva/rep/GA/newGA.pro.cc
new file mode 100644
index 0000000..dfdd244
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/newGA.pro.cc
@@ -0,0 +1,2831 @@
+#include "newGA.hh"
+
+skeleton newGA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams (Operator_Pool& pool)
+ : _independent_runs(0),
+ _nb_evolution_steps(0),
+ _population_size(0),
+ _population_additional_size(0),
+ _select_parents(0),
+ _select_offsprings(0),
+ _parameter_select_parents(0),
+ _parameter_select_offsprings(0), // Parameter of selection is fixed to 0
+ _inter_operators(),
+ _intra_operators(),
+ _combine(1),
+ _refresh_global_state(1),
+ _synchronized(0),
+ _check_asynchronous(1),
+ _display_state(0),
+ _pool(pool)
+ {}
+
+ Operator_Pool& SetUpParams::pool() const
+ {
+ return _pool;
+ }
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ long op;
+ int parameter;
+ short int nb_section=0;
+ short int nb_io = 0;
+ short int nb_selection = 0;
+ short int nb_param=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"Selections"))) nb_section=1;
+ if (!(strcmp(command,"Intra-Operators"))) nb_section=2;
+ if (!(strcmp(command,"Inter-Operators"))) nb_section=3;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=4;
+
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.nb_evolution_steps(op); break;
+ case 2: setup.population_size(op); break;
+ case 3: setup.population_additional_size(op); break;
+ case 4: setup.combine(op); break;
+ case 5: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: op=-1; // creates the chosen selection method
+ parameter=0;
+ sscanf(buffer," %d %d",&op,¶meter);
+ if (nb_selection>=2) break;
+ assert(parameter>=0);
+ if (nb_selection==0)
+ {
+ setup.select_parents(op);
+ setup.parameter_select_parents(parameter);
+ }
+ else
+ {
+ setup.select_offsprings(op);
+ setup.parameter_select_offsprings(parameter);
+ }
+ nb_selection++;
+ break;
+ case 2: setup.pool().intra_operators().append(Intra_Operator::create(op));
+ setup.pool().intra_operator(nb_io).setup(buffer);
+ setup._intra_operators.append(new unsigned int(nb_io));
+ nb_io++;
+ break;
+ case 3: setup._inter_operators.append(new unsigned int(op));
+ setup.pool().inter_operator(op).setup(buffer);
+ break;
+ case 4: if (nb_LAN_param>=3) break;
+ switch (nb_LAN_param)
+ {
+ case 0: setup.refresh_global_state(op); break;
+ case 1: setup.synchronized(op); break;
+ case 2: assert(op>0);
+ setup.check_asynchronous(op); break;
+ }
+ nb_LAN_param++;
+ break;
+ }
+ }
+
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evolution steps: " << setup.nb_evolution_steps() << endl
+ << "\t" << "Size of Population: " << setup.population_size() << endl
+ << "\t" << "Size of Additional population: " << setup.population_additional_size() << endl;
+ if (setup.combine())
+ os << "\t" <<"With combination between parents and offsprings" << endl;
+ else
+ os << "\t" <<"Without combination between parents and offsprings" << endl;
+
+ os << "\t" << "Display State: " << setup.display_state() << endl << endl
+ << "\t" << "Selections:" << endl
+ << "\t" << "-----------" << endl << endl
+ << "\t" << "Selection parents -> " << setup.pool().selector(setup.select_parents()) << endl
+ << "\t" << "Parameter of selection: " << setup.parameter_select_parents() << endl
+ << "\t" << "Selection offsprings -> " << setup.pool().selector(setup.select_offsprings()) << endl
+ << "\t" << "Parameter of selection: " << setup.parameter_select_offsprings() << endl << endl
+ << "\t" << "Intra_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.intra_operators_size();i++)
+ os << "\t" << (setup.pool().intra_operator(setup.intra_operator_index(i))) << endl;
+
+ os << endl << "\t" << "Inter_Operators: " << endl
+ << "\t" << "-----------" << endl << endl;
+
+ for (int i=0;i<setup.inter_operators_size();i++)
+ os << "\t" << "Operator: " << setup.pool().inter_operator(setup.inter_operator_index(i)) << endl;
+
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+ os << "\t" << "Interval for checking asynchronous receptions: " << setup.check_asynchronous() << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::nb_evolution_steps() const
+ {
+ return _nb_evolution_steps;
+ }
+
+ const unsigned int SetUpParams::population_size() const
+ {
+ return _population_size;
+ }
+
+ const unsigned int SetUpParams::population_additional_size() const
+ {
+ return _population_additional_size;
+ }
+
+ const bool SetUpParams::combine() const
+ {
+ return _combine;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::check_asynchronous() const
+ {
+ return _check_asynchronous;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs=val;
+ }
+
+ void SetUpParams::nb_evolution_steps(const unsigned long val)
+ {
+ _nb_evolution_steps=val;
+ }
+
+ void SetUpParams::population_size(const unsigned int val)
+ {
+ _population_size=val;
+ }
+
+ void SetUpParams::population_additional_size(const unsigned int val)
+ {
+ _population_additional_size=val;
+ }
+
+ void SetUpParams::combine(const bool val)
+ {
+ _combine=val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::check_asynchronous(const unsigned int val)
+ {
+ _check_asynchronous=val;
+ }
+
+ const unsigned int SetUpParams::select_parents() const
+ {
+ return _select_parents;
+ }
+
+ const unsigned int SetUpParams::select_offsprings() const
+ {
+ return _select_offsprings;
+ }
+
+ const unsigned int SetUpParams::parameter_select_parents() const
+ {
+ return _parameter_select_parents;
+ }
+
+ const unsigned int SetUpParams::parameter_select_offsprings() const
+ {
+ return _parameter_select_offsprings;
+ }
+
+ void SetUpParams::select_parents(const unsigned int val)
+ {
+ _select_parents=val;
+ }
+
+ void SetUpParams::select_offsprings(const unsigned int val)
+ {
+ _select_offsprings=val;
+ }
+
+ void SetUpParams::parameter_select_parents(const unsigned int val)
+ {
+ _parameter_select_parents=val;
+ }
+
+ void SetUpParams::parameter_select_offsprings(const unsigned int val)
+ {
+ _parameter_select_offsprings=val;
+ }
+
+ const unsigned int SetUpParams::intra_operator_index(const unsigned int index) const
+ {
+ return _intra_operators[index];
+ }
+
+ const unsigned int SetUpParams::intra_operators_size() const
+ {
+ return _intra_operators.size();
+ }
+
+ const unsigned int SetUpParams::inter_operator_index(const unsigned int index) const
+ {
+ return _inter_operators[index];
+ }
+
+ const unsigned int SetUpParams::inter_operators_size() const
+ {
+ return _inter_operators.size();
+ }
+
+ void SetUpParams::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&_select_parents,1,sizeof(_select_parents));
+ _sc.set_contents_state_variable("_parameter_select_parents",(char *)&_parameter_select_parents,1,sizeof(_parameter_select_parents));
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,1,sizeof(_select_offsprings));
+ _sc.set_contents_state_variable("_parameter_select_offsprings",(char *)&_parameter_select_offsprings,1,sizeof(_parameter_select_offsprings));
+ _sc.set_contents_state_variable("_display_state",(char *)&_display_state,1,sizeof(bool));
+ }
+
+ void SetUpParams::UpdateFromState(const StateCenter& _sc) const
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&_select_parents,nbytes,length);
+ _sc.get_contents_state_variable("_parameter_select_parents",(char *)&_parameter_select_parents,nbytes,length);
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&_select_offsprings,nbytes,length);
+ _sc.get_contents_state_variable("_parameter_select_offsprings",(char *)&_parameter_select_offsprings,nbytes,length);
+ _sc.get_contents_state_variable("_display_state",(char *)&_display_state,nbytes,length);
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Trial: " << stats.stats_data[i].trial
+ << " Generation: " << stats.stats_data[i].nb_generation
+ << " Evaluation: " << stats.stats_data[i].nb_evaluation
+ << " Current best cost: " << stats.stats_data[i].best_cost
+ << " Global best cost: " << stats.stats_data[i].global_best_cost
+ << " Avg: " << stats.stats_data[i].average_cost
+ << " Std. Dev.: " << stats.stats_data[i].standard_deviation;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ struct stat *new_stat=(struct stat *)malloc(sizeof(struct stat));
+
+ new_stat->trial=solver.current_trial();
+ new_stat->nb_generation=solver.current_iteration();
+ new_stat->nb_evaluation=solver.current_evaluations();
+ new_stat->average_cost=solver.current_average_cost();
+ new_stat->standard_deviation=solver.current_standard_deviation();
+ new_stat->best_cost=solver.current_best_cost();
+ new_stat->global_best_cost=solver.global_best_cost();
+
+ stats_data.append(*new_stat);
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+ Statistics::~Statistics()
+ {}
+
+// Population ------------------------------------------------------
+
+ Population::Population(const Problem& pbm,const SetUpParams& setup)
+ :_parents(setup.population_size()),
+ _fitness_values(setup.population_size()),
+ _new_parents(setup.population_size()),
+ _offsprings(setup.population_additional_size()),
+ _setup(setup),
+ _evaluations(0)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]=new Solution(pbm);
+ _new_parents[i]=new Solution(pbm);
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ for (int i=0;i<_offsprings.size();i++)
+ _offsprings[i]=new Solution(pbm);
+
+ }
+
+ void Population::Evaluate(Solution* sols,struct individual &_f)
+ {
+ if(_f.change)
+ {
+ _f.change = false;
+ _f.fitness = sols->fitness();
+ _evaluations++;
+ }
+ }
+
+ Population& Population::operator= (const Population& pop)
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ *_parents[i]=*((pop.parents())[i]);
+ _fitness_values[i] = pop._fitness_values[i];
+ _evaluations = pop._evaluations;
+ }
+ return (*this);
+ }
+
+ istream& operator>> (istream& is, Population& population)
+ {
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Population& population)
+ {
+ os << "---------------------------------------------------------------" << endl;
+ os << " PRESENT POPULATION " << endl << endl;
+ for (int i=0;i<population._parents.size();i++)
+ os << *population._parents[i] << endl;
+ os << endl << "---------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ const SetUpParams& Population::setup() const
+ {
+ return _setup;
+ }
+
+ void Population::initialize()
+ {
+ for (int i=0;i<_parents.size();i++)
+ {
+ _parents[i]->initialize();
+ _fitness_values[i].index = i;
+ _fitness_values[i].change = true;
+ }
+ evaluate_parents();
+ }
+
+ void Population::evaluate_parents()
+ {
+ double upper_fitness=(infinity() * (-1));
+ double lower_fitness=(infinity());
+ double current_fitness;
+ double cost=0.0;
+
+ for (int i=0;i<_fitness_values.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ current_fitness = _fitness_values[i].fitness;
+
+ if (current_fitness > upper_fitness )
+ {
+ _upper_cost=i;
+ upper_fitness = current_fitness;
+ }
+
+ if (current_fitness < lower_fitness )
+ {
+ _lower_cost=i;
+ lower_fitness = current_fitness;
+ }
+
+ cost += current_fitness;
+ }
+
+ _average_cost = cost / _fitness_values.size();
+ }
+
+ void Population::evaluate_offsprings()
+ {
+ int i=0;
+ if (_setup.combine()) // new individuals selected between current individuals and offsprings
+ {
+ _fitness_aux=Rarray<struct individual>(_parents.size() + _offsprings.size());
+ for (i=0;i<_parents.size();i++)
+ {
+ Evaluate(_parents[_fitness_values[i].index],_fitness_values[i]);
+ _fitness_aux[i] = _fitness_values[i];
+ }
+
+ for (int j=i;(j-i)<_offsprings.size();j++)
+ {
+ _fitness_aux[j].index=j;
+ _fitness_aux[j].change=true;
+ Evaluate(_offsprings[j-i],_fitness_aux[j]);
+ }
+ }
+ else // new individuals selected only between offsprings
+ {
+ _fitness_aux=Rarray<struct individual>(_offsprings.size());
+ for (i=0;i<_offsprings.size();i++)
+ {
+ _fitness_aux[i].index=i;
+ _fitness_aux[i].change=true;
+ Evaluate(_offsprings[i],_fitness_aux[i]);
+ }
+ }
+ }
+
+ void Population::evolution()
+ {
+ select_parents(); // selects individuals to apply operators
+
+ // apply selected operators
+ for (int i=0;i<_setup.intra_operators_size();i++)
+ _setup.pool().intra_operator(_setup.intra_operator_index(i)).execute(_offsprings);
+
+ evaluate_offsprings();
+ select_offsprings(); // selects new individuals
+ evaluate_parents(); // calculates fitness of new individuals
+ }
+
+ void Population::interchange(const unsigned long current_generation, NetStream& channel)
+ {
+ // apply selected operators
+ for (int i=0;i<_setup.inter_operators_size();i++)
+ _setup.pool().inter_operator(_setup.inter_operator_index(i)).execute((*this),current_generation,channel,_setup.synchronized(),_setup.check_asynchronous());
+ }
+
+ void Population::select_parents()
+ {
+ _setup.pool().selector(_setup.select_parents()).prepare(_fitness_values,false);
+ struct individual ind;
+ for (int i=0;i<_offsprings.size();i++)
+ {
+ ind = _setup.pool().selector(_setup.select_parents()).select_one(_parents,_offsprings,_fitness_values,_setup.parameter_select_parents(),false);
+ *_offsprings[i] = *_parents[ind.index];
+ }
+ }
+
+ void Population::select_offsprings()
+ {
+ _setup.pool().selector(_setup.select_offsprings()).prepare(_fitness_aux,false);
+ const int ps = _parents.size();
+ Rarray<struct individual> aux(ps);
+
+ for (int i=0;i<ps;i++)
+ {
+ if (_setup.combine())
+ {
+ aux[i] = _setup.pool().selector(_setup.select_offsprings()).select_one(_parents,_offsprings,_fitness_aux,_setup.parameter_select_offsprings(),false);
+ if(aux[i].index < ps)
+ {
+ *_new_parents[i] = *_parents[aux[i].index];
+ aux[i].index = i;
+ }
+ else
+ {
+ *_new_parents[i] = *_offsprings[aux[i].index-ps];
+ aux[i].index = i;
+ }
+ }
+ else
+ {
+ aux[i]=_setup.pool().selector(_setup.select_offsprings()).select_one(_offsprings,_offsprings,_fitness_aux,_setup.parameter_select_offsprings(),false);
+ *_parents[i] = *_offsprings[aux[i].index];
+ aux[i].index = i;
+ }
+ }
+
+ if (_setup.combine()) // interchanges current and new parents in the population
+ {
+ Solution *interchange;
+ for (int i=0;i<ps;i++)
+ {
+ interchange=_parents[i];
+ _parents[i]=_new_parents[i]; // interchanges pointers to solutions ( NO solutions !! )
+ _new_parents[i]=interchange;
+ }
+ }
+ for (int i=0;i<ps;i++)
+ {
+ _fitness_values[i] = aux[i];
+ }
+ }
+
+ const Rarray<Solution*>& Population::parents() const
+ {
+ return _parents;
+ }
+
+ const Rarray<Solution*>& Population::offsprings() const
+ {
+ return _offsprings;
+ }
+
+ Rarray<struct individual>& Population::fitness_values()
+ {
+ return _fitness_values;
+ }
+
+ unsigned int Population::upper_cost() const
+ {
+ return _upper_cost;
+ }
+
+ unsigned int Population::lower_cost() const
+ {
+ return _lower_cost;
+ }
+
+ unsigned int Population::evaluations() const
+ {
+ return _evaluations;
+ }
+
+ double Population::best_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_lower_cost].fitness;
+ else
+ return _fitness_values[_upper_cost].fitness;
+ }
+
+ double Population::worst_cost() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return _fitness_values[_upper_cost].fitness;
+ else
+ return _fitness_values[_lower_cost].fitness;
+ }
+
+ Solution& Population::best_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_lower_cost].index];
+ else
+ return *_parents[_fitness_values[_upper_cost].index];
+ }
+
+ Solution& Population::worst_solution() const
+ {
+ if ((*_parents[0]).pbm().direction() == minimize)
+ return *_parents[_fitness_values[_upper_cost].index];
+ else
+ return *_parents[_fitness_values[_lower_cost].index];
+ }
+
+ Solution& Population::solution(const unsigned int index) const
+ {
+ return *_parents[index];
+ }
+
+ double Population::fitness(const unsigned int index) const
+ {
+ return _fitness_values[index].fitness;
+ }
+
+ double Population::average_cost() const
+ {
+ return _average_cost;
+ }
+
+ double Population::standard_deviation() const
+ {
+ double standard=0.0;
+ for (int i=0;i<_fitness_values.size();i++)
+ standard += pow ((_fitness_values[i].fitness - _average_cost),2);
+ standard=sqrt(standard / (_fitness_values.size()-1));
+ return standard;
+ }
+
+ Population::~Population()
+ {
+ for (int i=0;i<_parents.size();i++)
+ delete(_parents[i]);
+ for (int i=0;i<_offsprings.size();i++)
+ delete(_offsprings[i]);
+ for (int j=0;j<_new_parents.size();j++)
+ delete(_new_parents[j]);
+ }
+
+
+// Inter_operator -------------------------------------------------------------------
+
+ Inter_Operator::Inter_Operator(const unsigned int _number_op,const Direction dir):
+ _number_operator(_number_op),
+ direction(dir),
+ migration_rate(1),
+ migration_size(1),
+ migration_selection_1(0),
+ migration_selection_2(0),
+ migration_selection_conf_1(0),
+ migration_selection_conf_2(0)
+ {}
+
+ unsigned int Inter_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ void Inter_Operator::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ int new_migration_rate=1;
+ int new_migration_size=1;
+ int new_migration_selection_1=0;
+ int new_migration_selection_conf_1=0;
+ int new_migration_selection_2=0;
+ int new_migration_selection_conf_2=0;
+
+ sscanf(line," %d %d %d %d %d %d %d ",&op,&new_migration_rate,&new_migration_size,&new_migration_selection_1,&new_migration_selection_conf_1,&new_migration_selection_2,&new_migration_selection_conf_2);
+
+ assert(new_migration_rate>0);
+ assert(new_migration_size>0);
+ assert(new_migration_selection_1>=0);
+ assert(new_migration_selection_conf_1>=0);
+ assert(new_migration_selection_2>=0);
+ assert(new_migration_selection_conf_2>=0);
+
+ migration_rate=new_migration_rate;
+ migration_size=new_migration_size;
+ migration_selection_1=new_migration_selection_1;
+ migration_selection_conf_1=new_migration_selection_conf_1;
+ migration_selection_2=new_migration_selection_2;
+ migration_selection_conf_2=new_migration_selection_conf_2;
+ }
+
+ void Inter_Operator::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&migration_rate,1,sizeof(migration_rate));
+ _sc.set_contents_state_variable("_migration_size",(char *)&migration_size,1,sizeof(migration_size));
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,1,sizeof(migration_selection_1));
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,1,sizeof(migration_selection_2));
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,1,sizeof(migration_selection_conf_1));
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,1,sizeof(migration_selection_conf_2));
+ }
+
+ void Inter_Operator::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&migration_rate,nitems,length);
+ _sc.get_contents_state_variable("_migration_size",(char *)&migration_size,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&migration_selection_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&migration_selection_2,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&migration_selection_conf_1,nitems,length);
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&migration_selection_conf_2,nitems,length);
+ }
+
+ ostream& operator<< (ostream& os, const Inter_Operator& inter)
+ {
+ switch (inter.number_operator())
+ {
+ case 0: os << (Migration&)inter;break;
+ }
+ return os;
+ }
+
+ Inter_Operator::~Inter_Operator()
+ {}
+
+// Migration ------------------------------------------------------------
+
+ Migration::Migration(const Direction dir):Inter_Operator(0,dir)
+ {}
+
+ void Migration::execute(Population& pop,const unsigned long current_generation,NetStream& _netstream,const bool synchronized,const unsigned int check_asynchronous) const
+ {
+
+ Solution* solution_to_send;
+ Solution* solution_received;
+ Solution* solution_to_remplace;
+ bool need_to_revaluate=false;
+ int mypid;
+
+ int nb_proc=_netstream.pnumber(); // Get the number of processes running
+
+ mypid=_netstream.my_pid();
+
+ int to = (mypid + 1) % nb_proc; // Source (from) and Target (to) of processes
+ int from = (nb_proc + mypid - 1) % nb_proc;
+
+ // process number 0 is only to store the global state
+ if (to==0) to=1;
+ if (from==0) from=nb_proc - 1;
+
+ _netstream << set_target(to) << set_source(from)
+ << get_target(&to) << get_source(&from);
+
+ if ( (current_generation % migration_rate) == 0
+ && (current_generation!=pop.setup().nb_evolution_steps())) // in this generation this operator have to be applied
+ {
+ pop.setup().pool().selector(migration_selection_1).prepare(pop.fitness_values(),false);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to send
+ solution_to_send = pop.parents()[pop.setup().pool().selector(migration_selection_1).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_1,false).index];
+
+ _netstream << *solution_to_send;
+ }
+ _netstream << pack_end;
+
+ if (synchronized) // synchronous mode: blocked until data are received
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+ int tipo = 0;
+ _netstream._wait2(any,tipo);
+
+ if (tipo == 1){
+ return;
+ }
+
+ _netstream << wait(packed);
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ }
+ _netstream << pack_end;
+
+ }
+ } // end if
+
+ if (!synchronized && ((current_generation % check_asynchronous) ==0))
+ { // asynchronous mode: if there are not data, continue;
+ // but, if there are data, i have to receive it
+ int pending=false;
+ _netstream._probe(packed,pending);
+ if (pending)
+ {
+ pop.setup().pool().selector(migration_selection_2).prepare(pop.fitness_values(),true);
+
+ _netstream << pack_begin;
+ for (int i=0;i<migration_size;i++)
+ {
+ pending=false;
+ _netstream._probe(regular,pending);
+ if (!pending) break;
+
+ // select individual to be remplaced
+ struct individual ind;
+ ind = pop.setup().pool().selector(migration_selection_2).select_one(
+ pop.parents(),pop.offsprings(),pop.fitness_values(),migration_selection_conf_2,true);
+ solution_to_remplace = pop.parents()[ind.index];
+ solution_received=new Solution(solution_to_remplace->pbm());
+ _netstream >> *solution_received;
+
+ // remplace policy
+ if ((solution_received->fitness()<=solution_to_remplace->fitness() && direction==minimize)
+ || (solution_received->fitness()>=solution_to_remplace->fitness() && direction==maximize))
+ {
+ need_to_revaluate=true;
+ for(int j = 0; j < pop.parents().size(); j++)
+ {
+ if(pop.fitness_values()[j].index == ind.index)
+ {
+ pop.fitness_values()[j].change = true;
+ *pop.parents()[ind.index] = *solution_received;
+ }
+ }
+ }
+ delete(solution_received);
+ } // end for
+ _netstream << pack_begin;
+ } // end if
+ }
+
+ if (need_to_revaluate) pop.evaluate_parents();
+ }
+
+ ostream& operator<< (ostream& os, const Migration& migration)
+ {
+ os << "Migration."
+ << endl << "\t" << " Rate: " << migration.migration_rate
+ << endl << "\t" << " Size: " << migration.migration_size
+ << endl << "\t" << " Selection 1: " << migration.migration_selection_1
+ << endl << "\t" << " Selection 1 Parameter: " << migration.migration_selection_conf_1
+ << endl << "\t" << " Selection 2: " << migration.migration_selection_2
+ << endl << "\t" << " Selection 2 Parameter: " << migration.migration_selection_conf_2;
+ return os;
+ }
+
+ Migration::~Migration()
+ {}
+
+// Selection ------------------------------------------------------------
+
+ Selection::Selection(const Direction dir):_number_selection(0),direction(dir)
+ {}
+
+ Selection::Selection(const unsigned int _number_sel, const Direction dir):_number_selection(_number_sel),direction(dir)
+ {}
+
+ void Selection::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {}
+
+ struct individual Selection::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy,const bool remplace) const
+ { // select a random individual
+ return fitness_values[rand_int(0,fitness_values.size()-1)];
+ }
+
+ unsigned int Selection::number_selection() const
+ {
+ return _number_selection;
+ }
+
+ ostream& operator<< (ostream& os, const Selection& sel)
+ {
+ switch (sel.number_selection())
+ {
+ case 0: os << "Random Selection"; break;
+ case 1: os << (Selection_Tournament&)sel; break;
+ case 2: os << (Selection_Roulette_Wheel&)sel; break;
+ case 3: os << (Selection_Rank&)sel; break;
+ case 4: os << (Selection_Best&)sel; break;
+ case 5: os << (Selection_Worst&)sel; break;
+ }
+ return os;
+ }
+
+ Selection::~Selection()
+ {}
+
+// Selection_Tournament----------------------------------------------------
+
+ Selection_Tournament::Selection_Tournament(const Direction dir):Selection(1,dir)
+ {}
+
+ struct individual Selection_Tournament::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int tournament_size, const bool remplace) const
+ {
+ unsigned int best_sol=0;
+ double best_fitness=((-1) * direction * infinity());
+ unsigned int index;
+
+ if (remplace) best_fitness = -1 * best_fitness;
+
+ unsigned int new_tournament_size=tournament_size;
+ if (tournament_size==0) new_tournament_size=1;
+
+ for (int i=0;i<new_tournament_size;i++)
+ {
+ index=rand_int(0,fitness_values.size()-1);
+
+ switch (direction)
+ {
+ case (minimize): if (((!remplace) && (fitness_values[index].fitness<best_fitness))
+ || ((remplace) && (fitness_values[index].fitness>best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ case (maximize): if (((!remplace) && (fitness_values[index].fitness>best_fitness))
+ || ((remplace) && (fitness_values[index].fitness<best_fitness)))
+ {
+ best_sol = index;
+ best_fitness = fitness_values[index].fitness;
+ }
+ break;
+ }
+ }
+
+ return fitness_values[best_sol];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Tournament& sel)
+ {
+ os << "Tournament Selection.";
+ return os;
+ }
+
+ Selection_Tournament::~Selection_Tournament()
+ {}
+
+// Selection_Roulette_Wheel ---------------------------------------------------
+
+ Selection_Roulette_Wheel::Selection_Roulette_Wheel(const Direction dir):Selection(2,dir)
+ {}
+
+ void Selection_Roulette_Wheel::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+ double overall_fitness=0.0;
+
+ // inverts fitness values to select less fitness individuals with a high probability
+ if ((direction==maximize && (remplace)) || ((direction==minimize) && (!(remplace))))
+ {
+ // fitness assigned if the fitness value is 0 in this case
+ double value_if_zero=DBL_MAX;
+ unsigned int nb_zeros=0;
+
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ value_if_zero-=fitness_values[i].fitness;
+ else
+ nb_zeros++;
+ }
+
+ value_if_zero=value_if_zero/nb_zeros;
+
+ // Warning !! if fitness is 0 (1/0 ?)
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ if (fitness_values[i].fitness!=0)
+ fitness_values[i].sel_parameter = (1 / fitness_values[i].fitness );
+ else
+ fitness_values[i].sel_parameter = value_if_zero;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+ }
+ else
+ {
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = fitness_values[i].fitness;
+ overall_fitness+= fitness_values[i].sel_parameter;
+ }
+
+ }
+
+ if (overall_fitness>DBL_MAX) overall_fitness=DBL_MAX;
+
+ // calculate relative fitness
+ double previous=0.0;
+ for (int i=0;i<fitness_values.size();i++)
+ {
+ fitness_values[i].sel_parameter = (fitness_values[i].sel_parameter / overall_fitness) + previous;
+ previous = fitness_values[i].sel_parameter;
+ }
+ }
+
+ struct individual Selection_Roulette_Wheel::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int dummy, const bool remplace) const
+ {
+ double random_selected=rand01();
+ int i=0;
+
+ while (random_selected > fitness_values[i].sel_parameter )
+ i++;
+
+ return fitness_values[i];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Roulette_Wheel& sel)
+ {
+ os << "Roulette Wheel Selection.";
+ return os;
+ }
+
+ Selection_Roulette_Wheel::~Selection_Roulette_Wheel()
+ {}
+
+// Selection_Rank --------------------------------------------------
+
+ int lessF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness < i2.fitness;
+ }
+
+ int greaterF(const struct individual &i1,const struct individual &i2)
+ {
+ return i1.fitness > i2.fitness;
+ }
+
+ Selection_Rank::Selection_Rank(const Direction dir):Selection(3,dir)
+ {}
+
+ Selection_Rank::Selection_Rank(const unsigned int _number_sel, const Direction dir):Selection(_number_sel,dir)
+ {}
+
+ void Selection_Rank::reset()
+ {}
+
+ void Selection_Rank::prepare(Rarray<struct individual>& fitness_values,const bool remplace)
+ {
+ reset();
+
+ // sort individuals
+ if (((direction==maximize) && (!(remplace))) || ((direction==minimize) && (remplace)))
+ fitness_values.sort(greaterF);
+ else
+ fitness_values.sort(lessF);
+ }
+
+ struct individual Selection_Rank::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int portion,const bool remplace) const
+ {
+
+ unsigned int new_portion=portion;
+ if (portion==0 || portion>100) new_portion=100;
+
+ return fitness_values[rand_int(0,(( fitness_values.size() * new_portion )/ 100)-1)];
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Rank& sel)
+ {
+ os << "Rank-Ordered Selection.";
+ return os;
+ }
+
+ Selection_Rank::~Selection_Rank()
+ {}
+
+// Selection_Best --------------------------------------------------
+
+ Selection_Best::Selection_Best(const Direction dir):Selection_Rank(4,dir),selection_best_position(0)
+ {}
+
+ struct individual Selection_Best::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_best_position;
+ selection_best_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ return fitness_values[position_to_return];
+ }
+
+ void Selection_Best::reset()
+ {
+ selection_best_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Best& sel)
+ {
+ os << "Selection of best ordered individuals.";
+ return os;
+ }
+
+ Selection_Best::~Selection_Best()
+ {}
+
+// Selection_Worst --------------------------------------------------
+
+ Selection_Worst::Selection_Worst(const Direction dir):Selection_Rank(5,dir),selection_worst_position(0)
+ {}
+
+ struct individual Selection_Worst::select_one(const Rarray<Solution*>& to_select_1,const Rarray<Solution*>& to_select_2,const Rarray<struct individual>& fitness_values,const unsigned int position,const bool remplace) const
+ {
+ int position_to_return=position-1;
+ if (position_to_return<0)
+ {
+ position_to_return = selection_worst_position;
+ selection_worst_position++;
+ }
+
+ position_to_return=(int)position_to_return % fitness_values.size();
+
+ int index=(fitness_values.size()-1) - position_to_return;
+ return fitness_values[index];
+ }
+
+ void Selection_Worst::reset()
+ {
+ selection_worst_position=0;
+ }
+
+ ostream& operator<< (ostream& os, const Selection_Worst& sel)
+ {
+ os << "Selection of worst ordered individuals.";
+ return os;
+ }
+
+ Selection_Worst::~Selection_Worst()
+ {}
+
+// Operator_Pool ------------------------------------------------------------------------
+
+ Operator_Pool::Operator_Pool(const Problem& pbm)
+ {
+ // introduces all operators and selections in lists
+
+ // Index to be chosen in setup file
+ //-------------------------------------
+ // The Intra_Operators are introduced dimanicly in setup
+
+ _selectors.append(new Selection(pbm.direction())); // 0
+ _selectors.append(new Selection_Tournament(pbm.direction())); // 1
+ _selectors.append(new Selection_Roulette_Wheel(pbm.direction())); // 2
+ _selectors.append(new Selection_Rank(pbm.direction())); // 3
+ _selectors.append(new Selection_Best(pbm.direction())); // 4
+ _selectors.append(new Selection_Worst(pbm.direction())); // 5
+
+ _inter_operators.append(new Migration(pbm.direction())); // 0
+ }
+
+ Intra_Operator& Operator_Pool::intra_operator(const unsigned int index) const
+ {
+ assert(index < _intra_operators.size());
+ return _intra_operators[index];
+ }
+
+ Rlist<Intra_Operator>& Operator_Pool::intra_operators() const
+ {
+ return _intra_operators;
+ }
+
+ Selection& Operator_Pool::selector(const unsigned int index) const
+ {
+ assert(index < _selectors.size());
+ return _selectors[index];
+ }
+
+ const Rlist<Selection>& Operator_Pool::selectors() const
+ {
+ return _selectors;
+ }
+
+ Inter_Operator& Operator_Pool::inter_operator(const unsigned int index) const
+ {
+ assert(index < _inter_operators.size());
+ return _inter_operators[index];
+ }
+
+ const Rlist<Inter_Operator>& Operator_Pool::inter_operators() const
+ {
+ return _inter_operators;
+ }
+
+ Operator_Pool::~Operator_Pool()
+ {}
+
+// Solver (superclasse)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ current_population(pbm,setup),
+ best_cost((-1) * pbm.direction() * infinity()),
+ worst_cost((-1) * best_cost),
+ best_solution(problem),
+ average_cost(0.0),
+ standard_deviation(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_evaluations("_current_evaluations",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_worst_cost("_current_worst_cost",_sc),
+ _current_average_cost("_current_average_cost",_sc),
+ _current_standard_deviation("_current_standard_deviation",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _best_solution_trial("_best_sol_trial",_sc),
+ _best_cost_trial("_best_cost_trial",_sc),
+ _worst_cost_trial("_worst_cost_trial",_sc),
+ _iteration_best_found_in_trial("_iteration_best_found_in_trial",_sc),
+ _evaluations_best_found_in_trial("_evaluations_best_found_in_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found",_sc),
+ _evaluations_best_found("_evaluations_best_found",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _global_worst_cost("_global_worst_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _crossover_probability("_crossover_probability",_sc),
+ _mutation_probability("_mutation_probability",_sc),
+ _migration_rate("_migration_rate",_sc),
+ _migration_size("_migration_size",_sc),
+ _migration_selection_1("_migration_selection_1",_sc),
+ _migration_selection_2("_migration_selection_2",_sc),
+ _migration_selection_conf_1("_migration_selection_conf_1",_sc),
+ _migration_selection_conf_2("_migration_selection_conf_2",_sc),
+ _select_parents("_select_parents",_sc),
+ _select_offsprings("_select_offsprings",_sc),
+ _parameter_select_parents("_parameter_select_parents",_sc),
+ _parameter_select_offsprings("_parameter_select_offsprings",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_evaluations(0);
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ best_solution_trial(best_solution);
+ best_cost_trial(best_cost);
+ worst_cost_trial(worst_cost);
+ iteration_best_found_in_trial(0);
+ evaluations_best_found_in_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ evaluations_best_found(0);
+ global_best_solution(best_solution);
+ global_best_cost(best_cost);
+ global_worst_cost(worst_cost);
+ time_best_found(total_time_spent);
+
+ float prob[MAX_PROB_PER_OP] = {0.0};
+ crossover_probability(prob);
+ mutation_probability(prob);
+
+ char aux[] = "_user_op_probability";
+ char nombre[30];
+ for(int i = 0; i < MAX_OP_USER; i++)
+ {
+ sprintf(nombre,"%s%d",aux,i);
+ _user_op_probability[i].set_name((char *)nombre);
+ _sc.add(_user_op_probability[i]);
+ user_op_probability(i,prob);
+ }
+
+ migration_rate(0);
+ migration_size(0);
+ migration_selection_1(0);
+ migration_selection_2(0);
+ migration_selection_conf_1(0);
+ migration_selection_conf_2(0);
+ select_parents(0);
+ select_offsprings(0);
+ parameter_select_parents(0);
+ parameter_select_offsprings(0);
+ display_state(setup.display_state());
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ void Solver::end_trial(bool et)
+ {
+ _end_trial = et;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _current_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_iteration.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_evaluations() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _current_evaluations.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _current_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_average_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_average_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_standard_deviation() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _current_standard_deviation.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::best_solution_trial() const
+ {
+ Solution sol(problem);
+ char data_stored[_best_solution_trial.get_nitems() + _best_solution_trial.get_length()];
+ unsigned long nitems,length;
+ _best_solution_trial.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::best_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _best_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::worst_cost_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _worst_cost_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found_in_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found_in_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::evaluations_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _evaluations_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _global_best_solution.get_contents(data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_best_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::global_worst_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _global_worst_cost.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _display_state.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float *Solver::crossover_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_crossover_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::mutation_probability() const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_mutation_probability",(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ float *Solver::user_op_probability(const int index) const
+ {
+ float *current_probability = new float[MAX_PROB_PER_OP];
+ unsigned long nitems,length;
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.get_contents_state_variable(aux,(char *)¤t_probability,nitems,length);
+ return current_probability;
+ }
+
+ unsigned int Solver::migration_rate() const
+ {
+ unsigned int rate=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_rate",(char *)&rate,nitems,length);
+ return rate;
+ }
+
+ unsigned int Solver::migration_size() const
+ {
+ unsigned int size=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_size",(char *)&size,nitems,length);
+ return size;
+ }
+
+ unsigned int Solver::migration_selection_1() const
+ {
+ unsigned int selection_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_1",(char *)&selection_1,nitems,length);
+ return selection_1;
+ }
+
+ unsigned int Solver::migration_selection_2() const
+ {
+ unsigned int selection_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_2",(char *)&selection_2,nitems,length);
+ return selection_2;
+ }
+
+ unsigned int Solver::migration_selection_conf_1() const
+ {
+ unsigned int selection_conf_1=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,nitems,length);
+ return selection_conf_1;
+ }
+
+ unsigned int Solver::migration_selection_conf_2() const
+ {
+ unsigned int selection_conf_2=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,nitems,length);
+ return selection_conf_2;
+ }
+
+ unsigned int Solver::select_parents() const
+ {
+ unsigned int select_parents=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_parents",(char *)&select_parents,nitems,length);
+ return select_parents;
+ }
+
+ unsigned int Solver::select_offprings() const
+ {
+ unsigned int select_offsprings=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_select_offsprings",(char *)&select_offsprings,nitems,length);
+ return select_offsprings;
+ }
+
+ unsigned int Solver::parameter_select_parents() const
+ {
+ unsigned int parameter_select_parents;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_parameter_select_parents",(char *)¶meter_select_parents,nitems,length);
+ return parameter_select_parents;
+ }
+
+ unsigned int Solver::parameter_select_offsprings() const
+ {
+ unsigned int parameter_select_offsprings;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_parameter_select_offsprings",(char *)¶meter_select_offsprings,nitems,length);
+ return parameter_select_offsprings;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _current_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _current_iteration.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_evaluations(const unsigned long value)
+ {
+ _current_evaluations.set_contents((char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _current_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _current_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_worst_cost(const double value)
+ {
+ _current_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_average_cost(const double value)
+ {
+ _current_average_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_standard_deviation(const double value)
+ {
+ _current_standard_deviation.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::best_solution_trial(const Solution& sol)
+ {
+ _best_solution_trial.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::best_cost_trial(const double value)
+ {
+ _best_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::worst_cost_trial(const double value)
+ {
+ _worst_cost_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::iteration_best_found_in_trial(const unsigned int value)
+ {
+ _iteration_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found_in_trial(const unsigned int value)
+ {
+ _evaluations_best_found_in_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::evaluations_best_found(const unsigned int value)
+ {
+ _evaluations_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _global_best_solution.set_contents(sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _global_best_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::global_worst_cost(const double value)
+ {
+ _global_worst_cost.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _display_state.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::crossover_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_crossover_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::mutation_probability(const float *new_probability)
+ {
+ _sc.set_contents_state_variable("_mutation_probability",(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::user_op_probability(const int index, const float *new_probability)
+ {
+ char aux[30] = "_user_op_probability";
+ sprintf(aux,"%s%d",aux,index);
+
+ _sc.set_contents_state_variable(aux,(char *)new_probability,MAX_PROB_PER_OP,sizeof(float));
+ }
+
+ void Solver::migration_rate(const unsigned int rate)
+ {
+ _sc.set_contents_state_variable("_migration_rate",(char *)&rate,1,sizeof(int));
+ }
+
+ void Solver::migration_size(const unsigned int size)
+ {
+ _sc.set_contents_state_variable("_migration_size",(char *)&size,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_1(const unsigned int selection_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_1",(char *)&selection_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_2(const unsigned int selection_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_2",(char *)&selection_2,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_1(const unsigned int selection_conf_1)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_1",(char *)&selection_conf_1,1,sizeof(int));
+ }
+
+ void Solver::migration_selection_conf_2(const unsigned int selection_conf_2)
+ {
+ _sc.set_contents_state_variable("_migration_selection_conf_2",(char *)&selection_conf_2,1,sizeof(int));
+ }
+
+ void Solver::select_parents(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_parents",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::select_offsprings(const unsigned int selection)
+ {
+ _sc.set_contents_state_variable("_select_offsprings",(char *)&selection,1,sizeof(int));
+ }
+
+ void Solver::parameter_select_parents(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_parameter_select_parents",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::parameter_select_offsprings(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_parameter_select_offsprings",(char *)&value,1,sizeof(int));
+ }
+
+ Statistics& Solver::statistics()
+ {
+ return _stat;
+ }
+
+ UserStatistics& Solver::userstatistics()
+ {
+ return _userstat;
+ }
+
+ Population& Solver::population()
+ {
+ return current_population;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& best_sol,const double best_cost,const double worst_cost,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool worseG=false;
+ bool betterT=false;
+ bool worseT=false;
+
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost > global_worst_cost());
+ betterT = (best_cost < best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost > worst_cost_trial());
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_spent_in_trial < time_best_found()));
+ worseG = (worst_cost < global_worst_cost());
+ betterT = (best_cost > best_cost_trial() || (best_cost == best_cost_trial() && time_spent_in_trial < time_best_found_trial()));
+ worseT = (worst_cost < worst_cost_trial());
+ break;
+ }
+
+ if (betterT)
+ {
+ best_solution_trial(best_sol);
+ best_cost_trial(best_cost);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_in_trial(current_iteration());
+ evaluations_best_found_in_trial(current_evaluations());
+ if (betterG)
+ {
+ global_best_solution(best_sol);
+ global_best_cost(best_cost);
+ time_best_found(time_spent_in_trial);
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ evaluations_best_found(current_evaluations());
+ }
+ }
+
+ if (worseT)
+ {
+ worst_cost_trial(worst_cost);
+ if (worseG)
+ global_worst_cost(worst_cost);
+ }
+ }
+
+ StateCenter *Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_best_solution(best_solution);
+ current_best_cost(best_cost);
+ current_worst_cost(worst_cost);
+ current_average_cost(average_cost);
+ current_standard_deviation(standard_deviation);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::RefreshCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).RefreshState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).RefreshState(_sc);
+ params.RefreshState(_sc);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ best_solution=current_best_solution();
+ best_cost=current_best_cost();
+ worst_cost=current_worst_cost();
+ average_cost=current_average_cost();
+ standard_deviation=current_standard_deviation();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ KeepHistory(best_solution,best_cost,worst_cost,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromCfgState()
+ {
+ for (int i=0;i<params.pool().intra_operators().size();i++)
+ params.pool().intra_operator(i).UpdateFromState(_sc);
+ for (int i=0;i<params.pool().inter_operators().size();i++)
+ params.pool().inter_operator(i).UpdateFromState(_sc);
+ params.UpdateFromState(_sc);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << " Current State ---------------------------------------------" << endl;
+/* cout << endl << "Selection parents -> " << select_parents();
+ cout << endl << "Parameter of selection: " << parameter_select_parents();
+ cout << endl << "Selection offsprings -> " << select_offprings();
+ cout << endl << "Parameter of selection: " << parameter_select_offsprings() << endl;
+ cout << endl << "Crossover_probability: " << crossover_probability();
+ cout << endl << "Mutation_probability: " << mutation_probability();
+ cout << endl << "User_Operator_probability: " << user_op_probability(0);
+ cout << endl << "Migration_rate: " << migration_rate();
+ cout << endl << "Migration_size: " << migration_size();
+ cout << endl << "Migration_selection_1: " << migration_selection_1();
+ cout << endl << "Migration_selection_conf_1: " << migration_selection_conf_1();
+ cout << endl << "Migration_selection_2: " << migration_selection_2();
+ cout << endl << "Migration_selection_conf_2: " << migration_selection_conf_2() << endl;
+*/ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current evaluations: " << current_evaluations();
+ cout << endl << "Current best cost: " << current_best_cost();
+ cout << endl << "Current worst cost: " << current_worst_cost();
+ cout << endl << "Current Average cost: " << current_average_cost();
+ cout << endl << "Current Standard Deviation: " << current_standard_deviation();
+ cout << endl << endl << "Trial: ";
+ cout << endl << "Best cost trial: " << best_cost_trial();
+ cout << endl << "Worst cost trial: " << worst_cost_trial();
+ cout << endl << "Iteration best found in trial: " << iteration_best_found_in_trial();
+ cout << endl << "Evaluations best found in trial: " << evaluations_best_found_in_trial();
+ cout << endl << "Time best found trial: " << time_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << endl << "Global: ";
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Global worst cost: " << global_worst_cost();
+ cout << endl << "Trial best found: " << trial_best_found();
+ cout << endl << "Iteration best found: " << iteration_best_found();
+ cout << endl << "Evaluations best found: " << evaluations_best_found();
+ cout << endl << "Time best found: " << time_best_found();
+// cout << endl << endl << "Best Solution: " << endl << global_best_solution();
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ }
+
+// Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Seq::StartUp(const Population& pop)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ time_best_found_trial(0.0);
+
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ if( (current_iteration() % params.refresh_global_state()) == 0)
+ UpdateFromCfgState();
+
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Seq::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ void Solver_Seq::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ while ((current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+
+ }
+
+ // Solver LAN ------------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Lan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Lan::send_local_state_to(int _mypid) {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_solution_trial()
+ << current_best_solution()
+ << best_cost_trial()
+ << worst_cost_trial()
+ << time_best_found_trial()
+ << current_best_cost()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state() {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_solution_trial
+ >> best_solution
+ >> _best_cost_trial
+ >> _worst_cost_trial
+ >> _time_best_found_in_trial
+ >> best_cost
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_additional_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualizaci�n de las estad�sticas // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Lan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm), Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0),acum_iterations(0)
+ {
+
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ // random_seed(time(0) + (mypid+1));
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Population pop(problem,params);
+ pop.initialize();
+ StartUp(pop);
+ }
+
+ void Solver_Wan::StartUp(const Population& pop)
+ {
+ _netstream << barrier;
+
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+ acum_iterations = 0;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+ current_evaluations(pop.evaluations());
+
+ // initialize state variables in the current trial
+
+ Solution initial_solution(problem);
+
+ time_spent_in_trial=0.0;
+ best_cost_trial((-1) * problem.direction() * infinity());
+ worst_cost_trial((-1) * best_cost_trial());
+ best_solution_trial(initial_solution);
+ iteration_best_found_in_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current_population=pop;
+ current_population.evaluate_parents();
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ }
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ current_population.evolution();
+ current_evaluations(current_population.evaluations());
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(regular, pending);
+ if(pending)
+ final_phase = true;
+ ////////////////////////
+
+ current_population.interchange(current_iteration(),_netstream);
+
+ // gets current interesting values in the current population
+
+ best_cost=current_population.best_cost();
+ best_solution=current_population.best_solution();
+ worst_cost=current_population.worst_cost();
+ average_cost=current_population.average_cost();
+ standard_deviation=current_population.standard_deviation();
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ // refresh state with these values
+ RefreshState();
+ RefreshCfgState();
+
+ // in this iteration i have to send data about my local state to the global state
+ if ((int)current_iteration() % params.refresh_global_state() ==0)
+ {
+ send_local_state_to(mypid);
+ UpdateFromCfgState();
+ }
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_evaluations()
+ << best_cost_trial()
+ << best_solution_trial()
+ << iteration_best_found_in_trial()
+ << evaluations_best_found_in_trial()
+ << time_best_found_trial()
+ << worst_cost_trial()
+ << current_best_cost()
+ << current_best_solution()
+ << current_worst_cost()
+ << current_average_cost()
+ << current_standard_deviation()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state()
+ {
+ int r_pid=0;
+
+ _netstream._wait(packed);
+
+ _netstream << pack_begin
+ >> r_pid
+ >> _current_trial
+ >> _current_iteration
+ >> _current_evaluations
+ >> _best_cost_trial
+ >> _best_solution_trial
+ >> _iteration_best_found_in_trial
+ >> _evaluations_best_found_in_trial
+ >> _time_best_found_in_trial
+ >> _worst_cost_trial
+ >> best_cost
+ >> best_solution
+ >> worst_cost
+ >> average_cost
+ >> standard_deviation
+ << pack_end;
+ return r_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ _netstream << set_source(MPI_ANY_SOURCE);
+
+ while (!_end_trial)
+ {
+ received_pid=0;
+ received_pid=receive_local_state();
+
+ current_trial(_current_trial);
+
+ // refresh the global state with received data ( a local state )
+ current_iteration(_iteration_best_found_in_trial);
+ current_evaluations(_evaluations_best_found_in_trial);
+ KeepHistory(_best_solution_trial,_best_cost_trial,_worst_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+ // the process that has send data has finished the current trial
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && terminateQ(problem,*this,params))
+ {
+ acum_iterations = params.nb_evolution_steps() * nb_finalized_processes;
+ acum_evaluations = acum_iterations* params.population_additional_size() +
+ nb_finalized_processes*params.population_size();
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << 1;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_iterations += _iteration_best_found_in_trial;
+ acum_evaluations += _evaluations_best_found_in_trial;
+ }
+ if (nb_finalized_processes==nb_proc-1)
+ _end_trial=true;
+
+ current_iteration(_current_iteration);
+ current_evaluations(_current_evaluations);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Update Stats // Termination phase //
+ iteration_best_found_in_trial(acum_iterations/(_netstream.pnumber()-1));
+ evaluations_best_found_in_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = best_cost_trial();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ {
+ iteration_best_found(iteration_best_found_in_trial());
+ evaluations_best_found(evaluations_best_found_in_trial());
+ }
+
+ RefreshState();
+ RefreshCfgState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.nb_evolution_steps());
+ }
+
+ void Solver_Wan::run (const unsigned long int nb_generations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Population& pop,const unsigned long int nb_generations)
+ {
+ StartUp(pop);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < nb_generations) && !(terminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ int i;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> i ;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+
+ }
+ _netstream << barrier;
+ }
+
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/GA/newGA.pro.o b/ProyectoFinal/CHC/malva/rep/GA/newGA.pro.o
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diff --git a/ProyectoFinal/CHC/malva/rep/GA/newGA.req.cc b/ProyectoFinal/CHC/malva/rep/GA/newGA.req.cc
new file mode 100644
index 0000000..653d43b
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/newGA.req.cc
@@ -0,0 +1,778 @@
+#ifndef INC_REQ_newGA
+#define INC_REQ_newGA
+#include "newGA.hh"
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <sstream>
+#include <algorithm>
+
+skeleton newGA
+{
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0),_limite_barrios(NULL),_tareasEsf(NULL),_tareasIndex(NULL),_empleados(NULL),_cantDias(0),_cantEmpleados(0)
+ {
+ //cout << "uf6";
+ }
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+
+ //Imprimo el arreglo con los limites de barrios
+ os<<"Limites de barrios: "<<endl<<endl;
+ for (int i=0;i<pbm._dimension;i++){
+ os<<i<<": ";
+ int indice=0;
+ while (pbm._limite_barrios[i][indice]!=-1){
+ os<<pbm._limite_barrios[i][indice]<<",";
+ indice++;
+ }
+ os<<endl;
+ }
+ os<<endl;
+ return os;
+ }
+
+
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+
+ char buffer[MAX_BUFFER];
+ int i;
+
+ //is.getline(buffer,MAX_BUFFER,'\n');
+ //sscanf(buffer,"%d",&pbm._dimension);
+
+ //CARGAR DATO CANT Tareas
+ ifstream inFile;
+ inFile.open("datos_cantidad_tareas");
+ if (!inFile)
+ {
+ cerr << "Unable to open file datafile.txt";
+ exit(1); // call system to stop
+ }
+ string x;
+ getline(inFile,x);
+ pbm._dimension = stoi(x);
+ inFile.close();
+
+ //Pido memoria para almacenar los limites de los barrios
+ pbm._limite_barrios=new int *[pbm._dimension];
+ for (int i=0;i<pbm._dimension;i++)
+ {
+ pbm._limite_barrios[i]=new int [10];
+ for (int j=0;j<10;j++)
+ pbm._limite_barrios[i][j]=-1;
+ }
+
+ //CARGAR DATO CANT EMPLEADOS
+ inFile;
+ inFile.open("datos_cantidad_empleados");
+ if (!inFile)
+ {
+ cerr << "Unable to open file datafile.txt";
+ exit(1); // call system to stop
+ }
+ //string x;
+ getline(inFile,x);
+ pbm._cantEmpleados = stoi(x);
+ inFile.close();
+ //INICIALIZAR DATOS TAREAS ESFUERZO
+ pbm._tareasEsf=new int [pbm._dimension];
+ for (int ii=0;ii<pbm._dimension;ii++)
+ {
+ pbm._tareasEsf[ii]=0;
+ }
+
+
+ //CARGAR DATOS TAREAS ESFUERZO
+
+ inFile.open("datos_tareas");
+ if (!inFile)
+ {
+ cerr << "Unable to open file datafile.txt";
+ exit(1); // call system to stop
+ }
+ string line2;
+ getline(inFile,line2);
+ pbm._cantDias = stoi(line2);
+ getline(inFile, line2);
+ getline(inFile, line2);
+
+ int n = line2.length();
+ char char_array[n+1];
+ int len=1;
+ int t=0;
+ int z=0;
+ for(int i=0; i<=line2.length(); i++)
+ {
+ if(line2[i] == ' '|| i==line2.length())
+ {
+ string rr = line2.substr(z,len);
+ pbm._tareasEsf[t] = stoi(rr);
+ //cout << rr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ inFile.close();
+
+
+ pbm._tareasIndex = new int[pbm._dimension];
+ for (int i = 0 ; i != pbm._dimension ; i++)
+ {
+ pbm._tareasIndex[i] = i;
+ }
+ sort(pbm._tareasIndex, pbm._tareasIndex + pbm._dimension,[&](const int& a, const int& b) { return (pbm._tareasEsf[a] < pbm._tareasEsf[b]); });
+ /*
+ for (int i = 0 ; i != pbm._dimension ; i++)
+ {
+ cout << pbm._tareasIndex[i] << " ";
+ }
+ exit(0);
+ */
+
+ //INICIALIZAR EMPLEADOS
+ pbm._empleados=new Empleado [pbm._cantEmpleados];
+ for (int zz=0;zz<pbm._cantEmpleados;zz++)
+ {
+
+ pbm._empleados[zz]._sueldo = 0;
+ pbm._empleados[zz]._habilidad=0;
+ pbm._empleados[zz]._horas=0;
+ }
+
+ //CARGAS DATOS EMPLEADOS
+
+ string line23;
+ inFile.open("datos_empleados");
+ getline(inFile, line23);
+ getline(inFile, line23);
+ int no = line23.length();
+ char_array[n+1];
+ len=1;
+ t=0;
+ z=0;
+ for(int i=0; i<=line23.length(); i++)
+ {
+ if(line23[i] == ' ' || i==line23.length())
+ {
+ string rrr = line23.substr(z,len);
+ pbm._empleados[t]._horas = stoi(rrr);
+ //cout << rr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ cout << pbm._empleados[0]._horas <<" " << pbm._empleados[1]._horas <<" " << pbm._empleados[2]._horas <<" " << pbm._empleados[3]._horas << " " << pbm._empleados[4]._horas << " " << endl;
+
+ getline(inFile, line23);
+ no = line23.length();
+ char_array[n+1];
+ len=1;
+ t=0;
+ z=0;
+ // cout << line23;
+ for(int i=0; i<=line23.length(); i++)
+ {
+ if(line23[i] == ' ' || i==line23.length())
+ {
+ string rrr = line23.substr(z,len);
+ pbm._empleados[t]._habilidad = stof(rrr);
+ //cout << rrr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ cout << pbm._empleados[0]._habilidad <<" " << pbm._empleados[1]._habilidad <<" " << pbm._empleados[2]._habilidad <<" " << pbm._empleados[3]._habilidad << " " << pbm._empleados[4]._habilidad << " " << endl;
+
+ getline(inFile, line23);
+ no = line23.length();
+ char_array[n+1];
+ len=1;
+ t=0;
+ z=0;
+ for(int i=0; i<=line23.length(); i++)
+ {
+ if(line23[i] == ' ' || i==line23.length())
+ {
+ string rrr = line23.substr(z,len);
+ pbm._empleados[t]._sueldo = stoi(rrr);
+ //cout << rr << " ";
+ t=t+1;
+ z=i+1;
+ len=1;
+ //s.erase(i,1);
+ }
+ else len=len+1;
+ }
+ cout << pbm._empleados[0]._sueldo <<" " << pbm._empleados[1]._sueldo <<" " << pbm._empleados[2]._sueldo <<" " << pbm._empleados[3]._sueldo << " " << pbm._empleados[4]._sueldo << " " << endl;
+ //assert(false);
+ inFile.close();
+
+ /*
+ //Cargo el archivo con los limites de los barrios
+ FILE* stream = fopen("limite_barrios.csv", "r");
+
+ char line[1024];
+ while (fgets(line, 1024, stream))
+ {
+ char* tmp = strdup(line);
+ const char * barrio = pbm.getfield(tmp,1);
+ int barrio_int=atoi(barrio);
+ tmp = strdup(line);
+ const char * limite= pbm.getfield(tmp,2);
+ int i=0;
+ while (limite!=NULL)
+ {
+ pbm._limite_barrios[barrio_int-1][i]=atoi(limite)-1;
+ i++;
+ tmp = strdup(line);
+ limite=pbm.getfield(tmp,i+2);
+ }
+ free(tmp);
+ }
+ */
+ cout<<pbm;
+ return is;
+ }
+
+ //Funcion para leer el archivo CSV
+ const char* Problem::getfield(char* line, int num)
+ {
+ const char* tok;
+ for (tok = strtok(line, ",");
+ tok && *tok;
+ tok = strtok(NULL, ",\n"))
+ {
+ if (!--num)
+ return tok;
+ }
+ return NULL;
+ }
+
+ int ** Problem::limite_barrios() const{
+ return _limite_barrios;
+ }
+
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ //return maximize;
+ return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+ int Problem::cantEmpleados() const
+ {
+ return _cantEmpleados;
+ }
+ int Problem::cantDias() const
+ {
+ return _cantDias;
+ }
+
+ int * Problem::tareasEsf() const
+ {
+ return _tareasEsf;
+ }
+
+ int * Problem::tareasIndex() const
+ {
+ return _tareasIndex;
+ }
+
+ Empleado *Problem::empleados() const
+ {
+ return _empleados;
+ }
+
+ Problem::~Problem()
+ {
+ //Libero la memoria pedida para almacenar los limites de los barrios
+ for (int i=0;i<_dimension;i++)
+ delete [] _limite_barrios[i];
+ delete [] _limite_barrios;
+ delete [] _empleados;
+ delete [] _tareasEsf;
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+
+ //for (int i=0;i<sol.pbm().dimension();i++)
+ // os << " " << sol._var[i];
+ stringstream ss;
+
+ ofstream outfile("solution");
+
+ os << endl;
+
+ for (int j = 0; j < sol.pbm().cantEmpleados(); j++)
+ {
+ bool found1 = false;
+ for (int i = 0; i < sol.pbm().dimension(); i++)
+ {
+ if (sol._var[i] == j)
+ {
+ if (!found1)
+ {
+ ss << "e" << j + 1;
+ found1 = true;
+ }
+
+ ss << " t" << sol.pbm().tareasIndex()[i] + 1;
+ }
+ }
+
+ if (found1)
+ {
+ ss << endl;
+ }
+ }
+
+ outfile << ss.str();
+ outfile.close();
+
+ os << ss.str();
+
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ for(int i = 0; i < _var.size(); i++)
+ if(_var[i] != sol._var[i]) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ //cout << _pbm.dimension();
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=rand_int(0,_pbm.cantEmpleados() - 1);
+ //_var[i]=rand_int(0,3);
+ }
+ }
+
+ double Solution::fitness ()
+ {
+
+ double fitness = 0.0;
+ double* horasTrabajados = new double[_pbm.cantEmpleados()];
+ for (int q=0; q < _pbm.cantEmpleados(); q++)
+ {
+ horasTrabajados[q] = 0;
+ }
+
+ for (int i=0;i< _pbm.dimension();i++)
+ {
+ Empleado tipo = _pbm.empleados()[_var[i]];
+ double horasReq = ((double)_pbm.tareasEsf()[_pbm.tareasIndex()[i]]/(double)(0.5+tipo._habilidad));
+ horasTrabajados[_var[i]] += horasReq;
+
+ }
+
+
+ for (int j = 0; j < _pbm.cantEmpleados(); j++)
+ {
+ double diasTrabajadosTemp = (double)horasTrabajados[j] / (double)_pbm.empleados()[j]._horas;
+ fitness += (double)diasTrabajadosTemp * (double)_pbm.empleados()[j]._sueldo;
+ if (isnan(fitness))
+ exit(0);
+ if (diasTrabajadosTemp > _pbm.cantDias())
+ {
+ fitness += 100000;
+ }
+ }
+
+ return fitness;
+
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+ // UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].worst_cost_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].nb_iteration_best_found_trial
+ << "\t\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if( (solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().nb_evolution_steps())
+ && !terminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial = solver.evaluations_best_found_in_trial();
+ new_stat->nb_iteration_best_found_trial = solver.iteration_best_found_in_trial();
+ new_stat->worst_cost_trial = solver.worst_cost_trial();
+ new_stat->best_cost_trial = solver.best_cost_trial();
+ new_stat->time_best_found_trial = solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// Intra_operator --------------------------------------------------------------
+
+ Intra_Operator::Intra_Operator(const unsigned int _number_op):_number_operator(_number_op),probability(NULL)
+ {}
+
+ unsigned int Intra_Operator::number_operator() const
+ {
+ return _number_operator;
+ }
+
+ Intra_Operator *Intra_Operator::create(const unsigned int _number_op)
+ {
+ switch (_number_op)
+ {
+ case 0: return new Crossover;break;
+ case 1: return new Mutation();break;
+ }
+ }
+
+ ostream& operator<< (ostream& os, const Intra_Operator& intra)
+ {
+ switch (intra.number_operator())
+ {
+ case 0: os << (Crossover&)intra;break;
+ case 1: os << (Mutation&)intra;break;
+ }
+ return os;
+ }
+
+ Intra_Operator::~Intra_Operator()
+ {}
+
+// Crossover:Intra_operator -------------------------------------------------------------
+
+ Crossover::Crossover():Intra_Operator(0)
+ {
+ probability = new float[1];
+ }
+
+ void Crossover::cross(Solution& sol1,Solution& sol2) const // dadas dos soluciones de la poblacion, las cruza
+ {
+ //Usamos cruzamiento de dos puntos (2PX)
+ int i=0;
+ Rarray<int> aux(sol1.pbm().dimension());
+ aux=sol2.array_var();
+
+ /*
+ if (current_time_spent() < 1000000)
+ {
+ int limit=rand_int((0,sol1.pbm().dimension()-1));
+
+ for (i=0;i<limit;i++)
+ sol2.var(i)=sol1.var(i);
+ for (i=0;i<limit;i++)
+ sol1.var(i)=aux[i];
+ }
+ if (current_time_spent() >= 1000000)
+ {*/
+ int limit=rand_int((sol1.pbm().dimension()/2)+1,sol1.pbm().dimension()-1);
+ int limit2=rand_int(0,limit-1);
+
+ for (i=0;i<limit2;i++)
+ sol2.var(i)=sol1.var(i);
+ for (i=0;i<limit2;i++)
+ sol1.var(i)=aux[i];
+ for (i=limit;i<sol1.pbm().dimension();i++)
+ sol2.var(i)=sol1.var(i);
+ for (i=limit;i<sol1.pbm().dimension();i++)
+ sol1.var(i)=aux[i];
+ //}
+ }
+
+ void Crossover::execute(Rarray<Solution*>& sols) const
+ {
+ for (int i=0;i+1<sols.size();i=i+2)
+ if (rand01()<=probability[0]) cross(*sols[i],*sols[i+1]);
+ }
+
+ ostream& operator<< (ostream& os, const Crossover& cross)
+ {
+ os << "Crossover." << " Probability: "
+ << cross.probability[0]
+ << endl;
+ return os;
+ }
+
+ void Crossover::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_crossover_probability",(char *)probability,1,sizeof(float));
+ }
+
+ void Crossover::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_crossover_probability",(char *)probability,nbytes,length);
+ }
+
+ void Crossover::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d %f ",&op,&probability[0]);
+ assert(probability[0]>=0);
+ }
+
+ Crossover::~Crossover()
+ {
+ delete [] probability;
+ }
+
+ // Mutation: Sub_operator -------------------------------------------------------------
+
+ Mutation::Mutation():Intra_Operator(1)
+ {
+ probability = new float[2];
+ }
+
+ void Mutation::mutate(Solution& sol) const
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ {
+ if (rand01()<=probability[1])
+ {
+ //La mutacion modifica un gen aleatoriamente con probabilidad uniforme en {0,3}
+ int temp = rand_int(0,sol.pbm().cantEmpleados() - 1);
+ sol.var(i)= temp;
+ //sol.var(i)=rand_int(0,3);
+ }
+ }
+ }
+
+ void Mutation::execute(Rarray<Solution*>& sols) const
+ {
+ for (int i=0;i<sols.size();i++)
+ if(rand01() <= probability[0]) mutate(*sols[i]);
+ }
+
+ ostream& operator<< (ostream& os, const Mutation& mutation)
+ {
+ os << "Mutation." << " Probability: " << mutation.probability[0]
+ << " Probability1: " << mutation.probability[1]
+ << endl;
+ return os;
+ }
+
+ void Mutation::setup(char line[MAX_BUFFER])
+ {
+ int op;
+ sscanf(line," %d %f %f ",&op,&probability[0],&probability[1]);
+ assert(probability[0]>=0);
+ assert(probability[1]>=0);
+ }
+
+ void Mutation::RefreshState(const StateCenter& _sc) const
+ {
+ _sc.set_contents_state_variable("_mutation_probability",(char *)probability,2,sizeof(probability));
+ }
+
+ void Mutation::UpdateFromState(const StateCenter& _sc)
+ {
+ unsigned long nbytes,length;
+ _sc.get_contents_state_variable("_mutation_probability",(char *)probability,nbytes,length);
+ }
+
+ Mutation::~Mutation()
+ {
+ delete [] probability;
+ }
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ bool fin=(int) (solver.current_time_spent() - solver.time_best_found_trial()) > 20000000;
+ //Condicion de parada. Si el fitness es 0 terminamos la ejecucion.
+ //bool fin=(int)solver.best_cost_trial() == 0;
+ //cout << pbm.cantEmpleados();
+ /*if (fin){
+ //Escribo el resultado en el archivo de salida
+ FILE * pFile;
+ pFile = fopen ("asignacion_colores.csv","w");
+ for (int i=0;i<pbm.dimension();i++){
+ fprintf (pFile, "%d,%d\n",i+1,solver.best_solution_trial().var(i));
+ }
+ fclose (pFile);
+ }*/
+ //return (fin);
+ return fin;
+
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool terminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+ StopCondition_1 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+#endif
+
diff --git a/ProyectoFinal/CHC/malva/rep/GA/newGA.req.o b/ProyectoFinal/CHC/malva/rep/GA/newGA.req.o
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diff --git a/ProyectoFinal/CHC/malva/rep/GA/newGAstructures.hh b/ProyectoFinal/CHC/malva/rep/GA/newGAstructures.hh
new file mode 100644
index 0000000..d542639
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/newGAstructures.hh
@@ -0,0 +1,60 @@
+#ifndef INC_newGA_mallba_hh
+#define INC_newGA_mallba_hh
+
+
+#include <iostream>
+#include <fstream>
+#include <math.h>
+#include <limits.h>
+#include <float.h>
+#include <Rlist.h>
+#include <Rarray.h>
+#include <Messages.h>
+#include <mallba.hh>
+#include <States.hh>
+#include <random.hh>
+#include <time.hh>
+#include <netstream.hh>
+#include <assert.h>
+
+using namespace std;
+
+#ifndef _INDIVIDUAL_
+#define _INDIVIDUAL_
+
+struct individual // index of a individual in the population and its fitness
+{
+ int index;
+ double fitness;
+ double sel_parameter;
+ bool change;
+};
+struct Empleado // index of a individual in the population and its fitness
+{
+ int _horas;
+ float _habilidad;
+ double _sueldo;
+};
+
+
+/*int lessF(const struct individual &i1,const struct individual &i2)
+{
+ return i1.fitness < i2.fitness;
+}
+
+int lessS(const struct individual &i1,const struct individual &i2)
+{
+ return i1.sel_parameter < i2.sel_parameter;
+}
+
+int greaterF(const struct individual &i1,const struct individual &i2)
+{
+ return i1.fitness > i2.fitness;
+}
+
+int greaterS(const struct individual &i1,const struct individual &i2)
+{
+ return i1.sel_parameter > i2.sel_parameter;
+}*/
+#endif
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/GA/res/datos_cantidad_empleados b/ProyectoFinal/CHC/malva/rep/GA/res/datos_cantidad_empleados
new file mode 100644
index 0000000..7813681
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/res/datos_cantidad_empleados
@@ -0,0 +1 @@
+5
\ No newline at end of file
diff --git a/ProyectoFinal/CHC/malva/rep/GA/res/datos_cantidad_tareas b/ProyectoFinal/CHC/malva/rep/GA/res/datos_cantidad_tareas
new file mode 100644
index 0000000..301160a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/res/datos_cantidad_tareas
@@ -0,0 +1 @@
+8
\ No newline at end of file
diff --git a/ProyectoFinal/CHC/malva/rep/GA/res/datos_empleados b/ProyectoFinal/CHC/malva/rep/GA/res/datos_empleados
new file mode 100644
index 0000000..f7cc5e5
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/res/datos_empleados
@@ -0,0 +1,4 @@
+e1 e2 e3 e4 e5
+4 5 5 3 3
+0.05 0.20 0.30 0.95 0.50
+120 200 210 230 180
diff --git a/ProyectoFinal/CHC/malva/rep/GA/res/datos_tareas b/ProyectoFinal/CHC/malva/rep/GA/res/datos_tareas
new file mode 100644
index 0000000..589272f
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/res/datos_tareas
@@ -0,0 +1,3 @@
+20
+t1 t2 t3 t4 t5 t6 t7 t8
+16 28 11 51 2 23 43 15
diff --git a/ProyectoFinal/CHC/malva/rep/GA/res/empty.txt b/ProyectoFinal/CHC/malva/rep/GA/res/empty.txt
new file mode 100644
index 0000000..e69de29
diff --git a/ProyectoFinal/CHC/malva/rep/GA/res/sol.txt b/ProyectoFinal/CHC/malva/rep/GA/res/sol.txt
new file mode 100644
index 0000000..94d8af3
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/res/sol.txt
@@ -0,0 +1,16 @@
+
+---------------------------------------------------------------
+ STATISTICS OF TRIALS
+------------------------------------------------------------------
+
+1 10029.7 210883 1060 10 1591 14184
+2 10010.4 210882 5560 55 6233 12361
+3 10010.4 210656 4160 41 8672 14731
+4 10009.9 210921 160 1 106 9399
+5 10010.4 210807 4660 46 4349 9349
+6 10010.4 210921 760 7 657 9224
+7 10016.5 210990 3060 30 5449 11825
+8 10015.4 210452 4960 49 5341 10215
+9 10035.1 210876 5960 59 5591 9491
+10 10017.7 210873 360 3 295 9422
+------------------------------------------------------------------
diff --git a/ProyectoFinal/CHC/malva/rep/GA/solution b/ProyectoFinal/CHC/malva/rep/GA/solution
new file mode 100644
index 0000000..534d0b7
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/solution
@@ -0,0 +1,3 @@
+e1 t3 t1
+e3 t5 t6 t4
+e4 t8 t2 t7
diff --git a/ProyectoFinal/CHC/malva/rep/GA/verificador.py b/ProyectoFinal/CHC/malva/rep/GA/verificador.py
new file mode 100644
index 0000000..0924a32
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/GA/verificador.py
@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import sys
+import random
+import math
+
+try:
+ #Sanity check
+ if (len(sys.argv)<4):
+ print "Ejecutar con la siguiente linea: ./validador <ruta_tareas> <ruta_empleados> <ruta_solucion>"
+ sys.exit(1)
+
+ ruta_tareas=sys.argv[1]
+ ruta_empleados=sys.argv[2]
+ ruta_solucion=sys.argv[3]
+ habilidad_empleados=[]
+ sueldo_diario_empleado=[]
+ dedicacion_diaria_diponible_empleado=[]
+ esfuerzo_requerido_tarea=[]
+ nombres_tareas=[]
+ nombre_empleados=[]
+ costo_proyecto=0
+ tiempo_solucion_proyecto=0
+
+ # se sabe que son 3 lineas
+ archivo_tareas=open(ruta_tareas)
+ lineasTareas=archivo_tareas.readlines()
+ deadLine=lineasTareas[0]
+ nombres_tareas=lineasTareas[1].strip().split(" ")
+ esfuerzo_requerido_tarea=lineasTareas[2].strip().split(" ")
+
+ # se sabe que son 4 lineas
+ archivo_empleados=open(ruta_empleados)
+ lineasEmpleados=archivo_empleados.readlines()
+ nombre_empleados=lineasEmpleados[0].strip().split(" ")
+ dedicacion_diaria_diponible_empleado=lineasEmpleados[1].strip().split(" ")
+ habilidad_empleados=lineasEmpleados[2].strip().split(" ")
+ sueldo_diario_empleado=lineasEmpleados[3].strip().split(" ")
+
+ # se convierten a entero
+ dedicacion_diaria_diponible_empleado = map(int, dedicacion_diaria_diponible_empleado)
+ sueldo_diario_empleado = map(int, sueldo_diario_empleado)
+ deadLine=int(deadLine)
+ esfuerzo_requerido_tarea = map(int, esfuerzo_requerido_tarea)
+
+ # se convierte a float
+ habilidad_empleados = map(float, habilidad_empleados)
+
+ # se levanta la solucion del archivo
+ matriz_solucion=[]
+
+ archivo_solucion=open(ruta_solucion)
+
+ solucion_empleados_tareas=[]
+ solucion_empleados=[]
+ solucion_tareas=[]
+
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ if( not (empleados_tareas[0] in nombre_empleados)):
+ print "No existe en la instancia el empleado: " + empleados_tareas[0]
+ sys.exit(1)
+ solucion_empleados.append(empleados_tareas[0])
+ for i in range(1,len(empleados_tareas)):
+ if( not (empleados_tareas[i] in nombres_tareas)):
+ print "No existe en la instancia la terea: " + empleados_tareas[i]
+ sys.exit(1)
+ solucion_tareas.append(empleados_tareas[i])
+
+
+ for i in range(0,len(solucion_empleados)):
+ for j in range(i+1,len(solucion_empleados)):
+ if(solucion_empleados[i]==solucion_empleados[j]):
+ print "Empleado repetido: " + solucion_empleados[i]
+ sys.exit(1)
+
+ for i in range(0,len(solucion_tareas)):
+ for j in range(i+1,len(solucion_tareas)):
+ if(solucion_tareas[i]==solucion_tareas[j]):
+ print "Tarea asignada más de una vez: " + solucion_tareas[i]
+ sys.exit(1)
+
+
+ # todas las tareas asignadas
+ if(len(solucion_tareas)!=len(nombres_tareas)):
+ print "La cantidad de tareas asignadas es distinta a la cantidad de tareas de la instancia."
+ sys.exit(1)
+
+ for i in range(0,len(nombres_tareas)):
+ if( not (nombres_tareas[i] in solucion_tareas)):
+ print "Tarea no asignada " + nombres_tareas[i]
+ sys.exit(1)
+
+ costo_total=0
+ archivo_solucion=open(ruta_solucion)
+ maximo_tiempo=0
+ tiempo_en_dias=0
+ # se hacen los calculos con la informacion en los archivos
+ for line in archivo_solucion.readlines():
+ empleados_tareas=line.strip().split(" ")
+ indice_empleado = nombre_empleados.index(empleados_tareas[0])
+ tiempo_en_horas=0
+ for i in range(1,len(empleados_tareas)):
+ indice_tarea = nombres_tareas.index(empleados_tareas[i])
+ tiempo_en_horas=tiempo_en_horas+(esfuerzo_requerido_tarea[indice_tarea] / (0.5 + habilidad_empleados[indice_empleado]))
+ tiempo_en_dias= int(math.ceil(tiempo_en_horas/dedicacion_diaria_diponible_empleado[indice_empleado]))
+ costo_total=costo_total+sueldo_diario_empleado[indice_empleado]*tiempo_en_dias
+ if(tiempo_en_dias>maximo_tiempo):
+ maximo_tiempo=tiempo_en_dias
+
+ if(maximo_tiempo<=deadLine):
+ # todo OK!
+ print costo_total,maximo_tiempo
+ else:
+ print "No cumple con el tiempo máximo de finalización ({0} > {1}).".format(maximo_tiempo, deadLine)
+ sys.exit(1)
+
+except IOError as error:
+ print error
diff --git a/ProyectoFinal/CHC/malva/rep/Makefile b/ProyectoFinal/CHC/malva/rep/Makefile
new file mode 100644
index 0000000..2b7ed15
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/Makefile
@@ -0,0 +1,6 @@
+all:
+ (cd CHC ; make)
+ (cd GA ; make)
+clean:
+ (cd CHC ; make clean)
+ (cd GA ; make clean)
\ No newline at end of file
diff --git a/ProyectoFinal/CHC/malva/rep/SA/Config.cfg b/ProyectoFinal/CHC/malva/rep/SA/Config.cfg
new file mode 100644
index 0000000..c515435
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+Instance Problem Path
+Result File Path
diff --git a/ProyectoFinal/CHC/malva/rep/SA/MainLan.cc b/ProyectoFinal/CHC/malva/rep/SA/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/SA/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/MainWan.cc b/ProyectoFinal/CHC/malva/rep/SA/MainWan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/MainWan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/Makefile b/ProyectoFinal/CHC/malva/rep/SA/Makefile
new file mode 100644
index 0000000..43b74fa
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan MainWan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/instance.txt res/res.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/SA.cfg b/ProyectoFinal/CHC/malva/rep/SA/SA.cfg
new file mode 100644
index 0000000..290f7e9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/SA.cfg
@@ -0,0 +1,9 @@
+ // number of independent runs
+ // number of evaluations
+ // Markov-Chain Length (temperature is updated in every number of evaluations)
+ // temperature Decay
+ // display state ?
+LAN-configuration
+ // the global state is updated in this number of evaluations
+ // 0: asynchronized mode // 1: synchronized mode
+ // interval of iterations to cooperate (if 0 no cooperation)
diff --git a/ProyectoFinal/CHC/malva/rep/SA/SA.hh b/ProyectoFinal/CHC/malva/rep/SA/SA.hh
new file mode 100644
index 0000000..9c7901a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/SA.hh
@@ -0,0 +1,478 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ private:
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/SA.req.cc b/ProyectoFinal/CHC/malva/rep/SA/SA.req.cc
new file mode 100644
index 0000000..6532801
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/SA.req.cc
@@ -0,0 +1,222 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+
+// Problem ---------------------------------------------------------------
+ Problem::Problem ()
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ //return maximize;
+ return minimize;
+ }
+
+ Problem::~Problem()
+ {}
+
+// Solution --------------------------------------------------------------
+ Solution::Solution (const Problem& pbm):_pbm(pbm)
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {}
+
+ double Solution::fitness () const
+ {
+ return 0.0;
+ }
+
+ char *Solution::to_String() const
+ {
+ return NULL;
+ }
+
+ void Solution::to_Solution(char *_routes_)
+ {}
+
+ unsigned int Solution::size() const
+ {
+ return 0;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ // Body of operator
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_1 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/StopCondition.cc b/ProyectoFinal/CHC/malva/rep/SA/StopCondition.cc
new file mode 100644
index 0000000..79e3342
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((solver.current_trial()==setup.independent_runs()) && (solver.current_iteration()==setup.max_evaluations()));
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/StopCondition.hh b/ProyectoFinal/CHC/malva/rep/SA/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/AdjKeys.cpp b/ProyectoFinal/CHC/malva/rep/SA/dnafa/AdjKeys.cpp
new file mode 100644
index 0000000..64d179a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/AdjKeys.cpp
@@ -0,0 +1,286 @@
+/***********************************************************************
+ * File: AdjKeys.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file AdjKeys.h.
+ ***********************************************************************/
+
+#include "AdjKeys.h"
+
+/*********************************************
+ * Purpose: allocate memory and initialization
+ *********************************************/
+
+AdjKeys::AdjKeys(int * parent1, int * parent2, int nbOfFrag):nof(nbOfFrag)
+{
+ offSpring = new int[nof];
+ share = new bool[nof];
+ remaining = new int[nof];
+
+ aKeys = new int *[nof];
+ for(int i = 0; i < nof; i++)
+ {
+ aKeys[i] = new int[4]; // [0] and [1] for parent1; [2] and [3] for parent2
+ for(int j = 0; j < 4; j++)
+ aKeys[i][j] = -1; // initialize to -1
+ }
+
+ for(int k = 0; k < nof; k++)
+ {
+ offSpring[k] = -1;
+ share[k] = false;
+ remaining[k] = 0;
+ }
+ startKey = parent1[0]; // start key point to the first fragment of parent1
+ makeAdjKeysTable(parent1, parent2);
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+AdjKeys::~AdjKeys()
+{
+ for(int i = 0; i < nof; i++)
+ delete [] aKeys[i];
+
+ delete [] aKeys;
+ delete [] remaining;
+ delete [] share;
+ delete [] offSpring;
+}
+
+/****************************************************
+ * Purpose: create an adjacency table for two parents
+ ****************************************************/
+
+void AdjKeys::makeAdjKeysTable(int * parent1, int * parent2)
+{
+ initAdjacentcy(parent1, 1);
+ initAdjacentcy(parent2, 2);
+
+ setSharing();
+// printInfo();
+}
+
+/*******************************************
+ * Purpose: initialize a parent's adjacency
+ *******************************************/
+
+void AdjKeys::initAdjacentcy(int * parent, int pid)
+{
+ int indStart;
+ if(pid == 1)
+ indStart = 0; // because aKeys[][0] and aKeys[][1] for parent1
+ else
+ indStart = 2; // because aKeys[][2] and aKeys[][3] for parent2
+
+ int m = 0;
+ for(int i = 0; i < nof; i++)
+ {
+ int key = parent[m];
+
+ if(m == 0) // deal with the first fragment
+ {
+ aKeys[key][indStart] = parent[m+1];
+ incrementRemaining(key);
+ }
+ else if(m == nof-1) // deal with the last fragment
+ {
+ aKeys[key][indStart] = parent[m-1];
+ incrementRemaining(key);
+ }
+ else // deal with the middle fragments
+ {
+ aKeys[key][indStart] = parent[m-1];
+ incrementRemaining(key);
+ aKeys[key][indStart+1] = parent[m+1];
+ incrementRemaining(key);
+ }
+ m++;
+ }
+}
+
+/***********************************************
+ * Purpose: return number of remaining fragments
+ ***********************************************/
+
+int AdjKeys::getRemaining(int id)
+{
+ return remaining[id];
+}
+
+/**************************************************
+ * Purpose: decrement number of remaining fragments
+ **************************************************/
+
+void AdjKeys::decrementRemaining(int id)
+{
+ remaining[id]--;
+}
+
+/**************************************************
+ * Purpose: increment number of remaining fragments
+ **************************************************/
+
+void AdjKeys::incrementRemaining(int id)
+{
+ remaining[id]++;
+}
+
+/****************************************************
+ * Purpose: set the share to be true if the fragments
+ * are ajdacent to both parents.
+ ****************************************************/
+
+void AdjKeys::setSharing()
+{
+ for(int i = 0; i < nof; i++)
+ {
+ if(aKeys[i][0] == aKeys[i][2] || aKeys[i][0] == aKeys[i][3])
+ {
+ share[i] = true;
+ remaining[i]--;
+ }
+ if(aKeys[i][1] != -1)
+ {
+ if(aKeys[i][1] == aKeys[i][2] || aKeys[i][1] == aKeys[i][3])
+ {
+ share[i] = true;
+ remaining[i]--;
+ }
+ }
+ }
+}
+
+/************************************
+ * Purpose: check the sharing status
+ ************************************/
+
+bool AdjKeys::hasSharing(int id)
+{
+ return share[id];
+}
+
+/*****************************************************
+ * Purpose: print the detail information in this class
+ *****************************************************/
+
+void AdjKeys::printInfo()
+{
+ for(int i = 0; i < nof; i++)
+ {
+ cout << aKeys[i][0] << ", " << aKeys[i][1] << ", "
+ << aKeys[i][2] << ", " << aKeys[i][3] << "\t";
+
+ cout << "sharing = " << share[i] << ", " << " remain = " << remaining[i] << endl;
+ }
+}
+
+/*****************************************************************
+ * Purpose: reset the adjacent key to be -1 if it is already taken
+ *****************************************************************/
+
+void AdjKeys::deleteTakenKey(int takenKey)
+{
+ int p, q;
+ for(p = 0; p < nof; p++)
+ {
+ if(takenKey != p)
+ {
+ bool exist = false;
+ for(q = 0; q < 4; q++)
+ {
+ if(aKeys[p][q] != -1 && aKeys[p][q] == takenKey)
+ {
+ aKeys[p][q] = -1;
+ exist = true;
+ }
+ }
+ if(exist)
+ decrementRemaining(p);
+ }
+ }
+}
+
+/***********************************************************
+ * Purpose: performs the actual edge-recombination operation
+ ***********************************************************/
+
+void AdjKeys::recombine()
+{
+ int currKey = startKey;
+ offSpring[0] = currKey;
+ deleteTakenKey(currKey);
+
+ int i;
+ // produce offspring based on adjacent keys
+
+ for(i = 1; i < nof; i++)
+ {
+ int flag = false;
+ int tempKeys[4] = {-1, -1, -1, -1};
+ int w = 0;
+ for(int j = 0; j < 4; j++)
+ {
+ int t = aKeys[currKey][j];
+ if(t != -1 && hasSharing(t))
+ {
+ currKey = t;
+ flag = true;
+ break;
+ }
+ else
+ {
+ if(t != -1)
+ tempKeys[w++] = t;
+ continue;
+ }
+ }
+ if(!flag)
+ {
+ if(w != 0)
+ {
+ int tk = tempKeys[0];
+ int moreAdjLeft = getRemaining(tk);
+ currKey = tk;
+ for(int v = 1; v < w; v++)
+ {
+ tk = tempKeys[v];
+ int adjLeft = getRemaining(tk);
+ if(adjLeft > moreAdjLeft)
+ {
+ moreAdjLeft = adjLeft;
+ currKey = tk;
+ }
+ }
+ }
+ else
+ break;
+ }
+ offSpring[i] = currKey;
+ deleteTakenKey(currKey);
+ }
+
+ if(i < nof) // handle special case
+ {
+ for(int x = 0; x < nof; x++)
+ {
+ if(getRemaining(x) != 0)
+ {
+ for(int y = 0; y < 4; y++)
+ {
+ if(aKeys[x][y] != -1)
+ {
+ offSpring[i++] = aKeys[x][y];
+ deleteTakenKey(aKeys[x][y]);
+ }
+ }
+ }
+ }
+ }
+}
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/AdjKeys.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/AdjKeys.h
new file mode 100644
index 0000000..cf440b2
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/AdjKeys.h
@@ -0,0 +1,45 @@
+/*********************************************************************
+ * File: AdjKeys.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: AdjKeys class is a helper class for Edge-recombination
+ * crossover operator
+ *********************************************************************/
+
+#ifndef ADJKEYS_H
+#define ADJKEYS_H
+
+#include <iostream>
+#include <string>
+
+using namespace std;
+
+class AdjKeys
+{
+public:
+ int startKey;
+ int * offSpring; // store offspring generate by crossover operator
+
+ AdjKeys(int * parent1, int * parent2, int nbOfFrag);
+ ~AdjKeys();
+ void makeAdjKeysTable(int * parent1, int * parent2);
+ void initAdjacentcy(int * parent, int pid);
+ void recombine();
+ void deleteTakenKey(int takenKey);
+ int getRemaining(int id);
+ void setSharing();
+ bool hasSharing(int id);
+ void decrementRemaining(int id);
+ void incrementRemaining(int id);
+ void printInfo();
+private:
+ int ** aKeys; // store adjacent keys for both parents
+ bool * share; // store sharing info for both parents
+ int * remaining; // store remaining fragments
+ int nof;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/AlignedPair.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/AlignedPair.h
new file mode 100644
index 0000000..a5d0872
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/AlignedPair.h
@@ -0,0 +1,39 @@
+/*********************************************************************
+ * File: AlignedPair.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: AlignedPair class is a helper class that wraps an
+ * alignment of two sequences
+ *********************************************************************/
+
+#ifndef ALIGNEDPAIR_H
+#define ALIGNEDPAIR_H
+
+#include <iostream>
+#include <string>
+
+using namespace std;
+
+class AlignedPair
+{
+public:
+ string s; // to store sequence s after alignment
+ string t; // to store sequence t after alignment
+
+ AlignedPair() {}
+ AlignedPair(const string &s, const string &t)
+ {
+ this->s = s;
+ this->t = t;
+ }
+
+ void printAlign()
+ {
+ cout << s << "\n" << t << endl << endl;
+ }
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/Config.cfg b/ProyectoFinal/CHC/malva/rep/SA/dnafa/Config.cfg
new file mode 100644
index 0000000..8175e18
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/DNAFA-instances/pbm.txt
+res/dna.sa.lan.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/ConsensusBuilder.cpp b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ConsensusBuilder.cpp
new file mode 100644
index 0000000..ad8879e
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ConsensusBuilder.cpp
@@ -0,0 +1,286 @@
+/***********************************************************************
+ * File: ConsensusBuilder.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file ConsensusBuilder.h.
+ ***********************************************************************/
+
+#include "ConsensusBuilder.h"
+
+int Global_cutoff;
+
+/*****************************************************
+ * Purpose: build the initial consensuses from contigs
+ *****************************************************/
+
+ConsensusBuilder::ConsensusBuilder(vector<string> &SACons)
+{
+ consensus = SACons;
+ scpList = new List1<SubConsensusPair>();
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+ConsensusBuilder::~ConsensusBuilder()
+{
+ delete scpList;
+}
+
+/**********************************************
+ * Purpose: postprocess four types of consensus
+ **********************************************/
+
+void ConsensusBuilder::buildConsensus()
+{
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case FF" << endl;
+/**/ cerr << "case FF" << endl;
+ buildSubConsensus(FF); // both from forward strand
+/**/ cerr << "End case FF" << endl;
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case FR" << endl;
+/**/ cerr << "case FR" << endl;
+ buildSubConsensus(FR); // first from forward, second from reverse complement
+/**/ cerr << "End case FR" << endl;
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case RF" << endl;
+/**/ cerr << "case RF" << endl;
+ buildSubConsensus(RF); // first from reverse complement, second from forward
+/**/ cerr << "End case RF" << endl;
+ if(consensus.size() > 1)
+ {
+// cout << endl << "case RR" << endl;;
+/**/ cerr << "case RR" << endl;
+ buildSubConsensus(RR); // both from reverse complement
+/**/ cerr << "End case RR" << endl;
+ }
+ }
+ }
+ }
+}
+
+/**********************************************
+ * Purpose: initialize four types of consensus
+ **********************************************/
+
+void ConsensusBuilder::initST(int type)
+{
+ vector<string> rc;
+ for(int k = 0; k < consensus.size(); k++)
+ rc.push_back(Util::rcSequence(consensus[k]));
+
+ s.clear();
+ t.clear();
+ switch(type)
+ {
+ case FF:
+ s = t = consensus;
+ break;
+ case FR:
+ s = consensus;
+ t = rc;
+ break;
+ case RF:
+ s = rc;
+ t = consensus;
+ break;
+ case RR:
+ s = t = rc;
+ break;
+ }
+}
+
+/********************************************************
+ * Purpose: detects the overlap for all possible pair of
+ * consensus and stores the overlap score in a
+ * sorted linked list in descending order.
+ ********************************************************/
+
+void ConsensusBuilder::buildSubConsensus(int type)
+{
+// cout << "\nCurrent consensus (" << type << ")" << endl;
+ //print();
+ initST(type);
+
+ for(int i = 0; i < s.size(); i++)
+ {
+ for(int j = i+1; j < s.size(); j++) // compute half of pairs only
+ {
+ SGA *sga = new SGA(s[i], t[j]); // eg. w1 and w2
+/**/ cerr << "Building Matrix " << i << " " << j << endl;
+ sga->buildMatrix();
+ sga->findBestScore();
+ int score = sga->getBestScore();
+ delete sga;
+/**/ cerr << "End Building Matrix " << i << " " << j << endl;
+
+ if(score >= Global_cutoff)
+ {
+ scpList->insert(SubConsensusPair(i, j, score));
+ scpList->insert(SubConsensusPair(j, i, score));
+ }
+ }
+ }
+// scpList->printList();
+/**/ cerr << "Updating Consensus" << endl;
+ updateConsensus(type);
+/**/ cerr << "End Updating Consensus" << endl;
+}
+
+/************************************************************
+ * Purpose: update consensus information by aligning possible
+ * overlapping consensuses.
+ ************************************************************/
+
+void ConsensusBuilder::updateConsensus(int type)
+{
+ vector<string> tempLayout;
+ vector<string> tepCon = consensus;
+ consensus.clear();
+
+ ListNode<SubConsensusPair>* tempNode = scpList->header->next;
+
+ while(tempNode != NULL)
+ {
+ int cid1 = tempNode->data.cid1;
+ int cid2 = tempNode->data.cid2;
+ char direction = 'F'; // forward
+
+ tempLayout.push_back(s[cid1]);
+ tempLayout.push_back(t[cid2]);
+ if(type == FR)
+ direction = 'R'; // reverse complement
+
+ tepCon.at(cid1) = "";
+ tepCon.at(cid2) = "";
+ remove(scpList, cid1);
+ bool found = true;
+ while(found)
+ {
+ ListNode<SubConsensusPair>* nextNode = search(scpList, cid2);
+ if(nextNode == NULL)
+ found = false;
+ else
+ {
+ cid1 = cid2;
+ cid2 = nextNode->data.cid2;
+
+ if(type == FR && direction == 'R')
+ {
+ tempLayout.push_back(s[cid2]); // s[cid2] = Util::rcSequence(t[cid2])
+ direction = 'F';
+ }
+ else if (type == FR && direction == 'F')
+ {
+ tempLayout.push_back(t[cid2]);
+ direction = 'R';
+ }
+ else if (type == RF && direction == 'F')
+ {
+ tempLayout.push_back(s[cid2]);
+ direction = 'R';
+ }
+ else
+ {
+ tempLayout.push_back(t[cid2]);
+ direction = 'F';
+ }
+
+ tepCon.at(cid2) = "";
+ remove(scpList, cid1);
+ }
+ }
+
+ if(tempLayout.size() > 1)
+ {
+ LayoutBuilder layoutBuilder(tempLayout);
+ layoutBuilder.findAlignments();
+ // layoutBuilder.printAlignments();
+ layoutBuilder.buildLayout();
+// cout << endl << "Merging =>"<< endl << endl;
+ layoutBuilder.printLayout();
+ layoutBuilder.findConsensus();
+ layoutBuilder.printConsensus();
+ consensus.push_back(layoutBuilder.getConsensus());
+ }
+ else
+ consensus.push_back(tempLayout.at(0));
+
+ tempLayout.clear();
+ tempNode = scpList->header->next;
+ }
+
+ for(int m = 0; m < tepCon.size(); m++)
+ {
+ if(tepCon.at(m) != "")
+ consensus.push_back(tepCon.at(m));
+ }
+}
+
+/************************************************************
+ * Purpose: removes SubConsensusPair objects that contain the
+ * given id from the linked list.
+ ************************************************************/
+
+void ConsensusBuilder::remove(List1<SubConsensusPair>* list, int cid)
+{
+ List1<SubConsensusPair>* temp = list;
+ ListNode<SubConsensusPair>* tempCurr = temp->header->next;
+ ListNode<SubConsensusPair>* tempPrev = temp->header;
+
+ while(tempCurr != NULL)
+ {
+ if(tempCurr->data.cid1 == cid || tempCurr->data.cid2 == cid )
+ {
+ ListNode<SubConsensusPair>* oldNode = tempCurr;
+ tempPrev->next = tempCurr->next;
+ tempCurr = tempCurr->next;
+ delete oldNode;
+ (temp->len)--;
+ }
+ else
+ {
+ tempPrev = tempCurr;
+ if(tempCurr != NULL)
+ tempCurr = tempCurr->next;
+ }
+ }
+}
+
+/************************************************************
+ * Purpose: find the SubConsensusPair object that contain the
+ * given id in the linked list.
+ ************************************************************/
+
+ListNode<SubConsensusPair>* ConsensusBuilder::search(List1<SubConsensusPair>* list, int cid)
+{
+ ListNode<SubConsensusPair>* curr;
+
+ for(curr = list->header->next; curr != NULL; curr = curr->next)
+ {
+ if(curr->data.cid1 == cid) // found
+ return curr;
+ }
+ return NULL;
+}
+
+/***********************************
+ * Purpose: prints current consensus
+ ***********************************/
+
+void ConsensusBuilder::print()
+{
+/* for(int j = 0; j < consensus.size(); j++)
+ cout << endl << "Cons #" << j << " => " << consensus.at(j);
+ cout << endl;
+*/}
+
+/************************************ End of File **************************************/
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/ConsensusBuilder.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ConsensusBuilder.h
new file mode 100644
index 0000000..ea813d3
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ConsensusBuilder.h
@@ -0,0 +1,53 @@
+/*********************************************************************
+ * File: ConsensusBuilder.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This ConsensusBuilder class is used to determine the
+ * sequence for contigs.
+ *********************************************************************/
+
+#ifndef CONSENSUSBUILDER_H
+#define CONSENSUSBUILDER_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <string>
+#include <vector>
+#include "list.h"
+#include "Util.h"
+#include "ContigBuilder.h"
+#include "LayoutBuilder.h"
+#include "scp.h"
+
+using namespace std;
+
+class ConsensusBuilder
+{
+public:
+ // F - forward; R - reverse complement
+ enum TableType { FF, FR, RF, RR };
+
+ ConsensusBuilder(vector<string> &SACons);
+ ~ConsensusBuilder();
+
+ void initLayout(); // initialize layout
+ void buildConsensus();
+ void updateConsensus(int type);
+ void remove(List1<SubConsensusPair> * list, int cid);
+ ListNode<SubConsensusPair> * search(List1<SubConsensusPair> * list, int cid);
+ vector<string> getConsensus() { return consensus; }
+ void print();
+private:
+ void buildSubConsensus(int type);
+ void initST(int type);
+
+ List1<SubConsensusPair>* scpList; // a list of SubConsensusPair objects
+ vector<string> consensus;
+ vector<string> s, t;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/ContigBuilder.cpp b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ContigBuilder.cpp
new file mode 100644
index 0000000..dd7dc6f
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ContigBuilder.cpp
@@ -0,0 +1,238 @@
+/***********************************************************************
+ * File: ContigBuilder.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file ContigBuilder.h.
+ ***********************************************************************/
+
+#include "ContigBuilder.h"
+
+/******************************************************
+ * Purpose: initialize fragment order and overlap score
+ ******************************************************/
+
+ContigBuilder::ContigBuilder(int * order, int ** s, const SA::Problem *pbm):_pbm(pbm)
+{
+ fragOrder = order;
+ score = s;
+}
+
+/*******************************************************
+ * Purpose: construct contigs based on the overlap score
+ * of adjacent fragments
+ *******************************************************/
+
+void ContigBuilder::buildContigs()
+{
+ vector<int> tempOrder;
+
+ int id1 = fragOrder[0];
+ tempOrder.push_back(id1+1); // +1 because 0 has no negative number
+ int direction = 1;
+
+ for(int i = 1; i < _pbm->numOfFragments; i++)
+ {
+ int id2 = fragOrder[i];
+ // cout << "score[" << id1 << "][" << id2 << "] = " << score[id1][id2] << endl;
+
+ int sign = direction * score[id1][id2];
+
+ if(abs(score[id1][id2]) >= _pbm->cutoff) // default cutoff = 30bps
+ {
+ if(sign > 0) // from same strand
+ {
+ tempOrder.push_back(id2+1);
+ direction = 1;
+ }
+ else // from different strand
+ {
+ tempOrder.push_back(-(id2+1));
+ direction = -1;
+ }
+ id1 = id2;
+ }
+ else
+ {
+ allContigs.push_back(tempOrder); // a new contig is formed
+ tempOrder.clear();
+ id1 = id2;
+ tempOrder.push_back(id1+1);
+ direction = 1;
+ }
+ }
+ allContigs.push_back(tempOrder);
+}
+
+/*******************************************************
+ * Purpose: merge two contigs and update the orientation
+ * accordingly
+ *******************************************************/
+
+void ContigBuilder::mergeTwoContig(int cid1, int cid2)
+{
+ vector<int> fids1 = allContigs.at(cid1);
+ vector<int> fids2 = allContigs.at(cid2);
+
+ int fid1 = fids1.at(fids1.size()-1);
+ int fid2 = fids2.at(0);
+ int sign = fid1 * fid2;
+
+ bool type = score[abs(fid1)-1][abs(fid2)-1] > 0;
+
+ bool flag = (!type && sign < 0) || (type && sign > 0); // flag = true => not change
+
+ for(int i = 0; i < fids2.size(); i++)
+ {
+ if(flag) // don't change
+ allContigs.at(cid1).push_back(fids2.at(i));
+ else // change
+ allContigs.at(cid1).push_back(-fids2.at(i));
+ }
+
+ allContigs.erase(allContigs.begin() + cid2);
+}
+
+/*****************************************************
+ * Purpose: merge contigs that satisfy the predefined
+ * threshold
+ *****************************************************/
+
+void ContigBuilder::mergeContigs()
+{
+ while(allContigs.size() >= 2)
+ {
+ int bestScore = _pbm->cutoff;
+ int cid_i = -1;
+ int cid_j = -1;
+
+ for(int i = 0; i < allContigs.size()-1; i++)
+ {
+ vector<int> tempi = allContigs.at(i);
+ int fidi_First = abs(tempi.at(0)) - 1;
+ int fidi_Last = abs(tempi.at(tempi.size()-1)) - 1;
+
+ for(int j = i+1; j < allContigs.size(); j++)
+ {
+ vector<int> tempj = allContigs.at(j);
+
+ int fidj_First = abs(tempj.at(0)) - 1;
+ int fidj_Last = abs(tempj.at(tempj.size()-1)) - 1;
+
+ if(abs(score[fidi_Last][fidj_First]) >= bestScore) // put contig_j after contig_i
+ {
+ bestScore = abs(score[fidi_Last][fidj_First]);
+ cid_i = i;
+ cid_j = j;
+ }
+ if(abs(score[fidj_Last][fidi_First]) > bestScore) // put contig_j before contig_i
+ {
+ bestScore = abs(score[fidj_Last][fidi_First]);
+ cid_i = j;
+ cid_j = i;
+ }
+ }
+ }
+
+ if(cid_i != -1 && cid_j != -1)
+ mergeTwoContig(cid_i, cid_j);
+ else
+ break;
+ }
+ cerr << endl << "*** *** *** *** SA Contigs ( " << allContigs.size() << " ) *** *** *** ***" << endl << endl;
+}
+
+/*******************************************
+ * Purpose: build consensus for each contigs
+ *******************************************/
+
+void ContigBuilder::buildConsensus()
+{
+ vector< vector<string> > fragLayouts;
+ for(int i = 0; i < allContigs.size(); i++)
+ fragLayouts.push_back(getPreLayoutFrags(allContigs.at(i)));
+
+ vector<string> SACons;
+ cerr << endl << "*** *** *** *** SA Contigs ( " << fragLayouts.size() << " ) *** *** *** ***" << endl << endl;
+
+ for(int j = 0; j < fragLayouts.size(); j++)
+ {
+ vector<string> layout = fragLayouts.at(j);
+
+// cout << endl << "Fragments Layout (" << j << ") =>" << endl << endl;
+
+ if(layout.size() > 1)
+ {
+ LayoutBuilder layoutBuilder(layout);
+ layoutBuilder.findAlignments();
+ // layoutBuilder.printAlignments();
+ layoutBuilder.buildLayout();
+ layoutBuilder.printLayout();
+ layoutBuilder.findConsensus();
+ layoutBuilder.printConsensus();
+ SACons.push_back(layoutBuilder.getConsensus());
+ }
+ else
+ {
+ SACons.push_back(layout.at(0));
+// cout << layout.at(0) << endl;
+ }
+ }
+ ConsensusBuilder * cb = new ConsensusBuilder(SACons);
+/**/ cerr << "Building Consensus" << endl;
+ cb->buildConsensus();
+/**/ cerr << "End Building Consensus" << endl;
+
+ vector<string> finalCons = cb->getConsensus();
+ cerr << endl << "*** *** *** *** Final Contigs ( " << finalCons.size() << " ) *** *** *** ***" << endl << endl;
+/* for(int k = 0; k < finalCons.size(); k++)
+ {
+ cout << ">Contig #" << k << endl;
+ cout << finalCons.at(k) << endl;
+ }
+ cout << endl << "*****************************************************" << endl;
+*/ delete cb;
+}
+
+/********************************************************
+ * Purpose: returns a vector of fragments associated with
+ * the fragment order
+ ********************************************************/
+
+vector<string> ContigBuilder::getPreLayoutFrags(vector<int> order)
+{
+ vector<string> preLayoutFrags;
+
+ for(int i = 0; i < order.size(); i++)
+ {
+ int fid = order.at(i);
+ if( fid > 0) // -1 because +1 when insert
+ preLayoutFrags.push_back(_pbm->fragments->at(fid-1));
+ else
+ preLayoutFrags.push_back(_pbm->rcFragments->at(abs(fid)-1));
+ }
+// cout << endl;
+ return preLayoutFrags;
+}
+
+/***********************************************
+ * Purpose: print fragment order for each contig
+ ***********************************************/
+
+void ContigBuilder::printOrder()
+{
+/* cout << endl << "Contig size = " << allContigs.size() << endl;
+
+ for(int i = 0; i < allContigs.size(); i++)
+ {
+ vector<int> temp = allContigs.at(i);
+ for(int j = 0; j < temp.size(); j++)
+ cout << temp.at(j) << ", ";
+ cout << endl;
+ }
+ cout << endl;
+*/}
+
+/************************************ End of File **************************************/
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/ContigBuilder.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ContigBuilder.h
new file mode 100644
index 0000000..f169c00
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/ContigBuilder.h
@@ -0,0 +1,49 @@
+/*********************************************************************
+ * File: ContigBuilder.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This ContigBuilder class is used to process contigs
+ * formed from SA.
+ *********************************************************************/
+
+#ifndef CONTIGBUILDER_H
+#define CONTIGBUILDER_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include "Util.h"
+#include "ConsensusBuilder.h"
+
+#include "SA.hh"
+
+using namespace std;
+
+class ContigBuilder
+{
+public:
+ ContigBuilder(int * order, int ** s, const SA::Problem *pbm); // constructor
+ ~ContigBuilder() { } // destructor
+
+ void buildContigs();
+ void buildConsensus();
+ void mergeContigs();
+ void mergeTwoContig(int cid1, int cid2);
+ void print();
+ void printOrder();
+ vector<string> getPreLayoutFrags(vector<int> order);
+ vector< vector<int> > getAllContigs() { return allContigs; }
+private:
+ int * fragOrder; // fragment order generated by SA
+ int ** score; // pointer to score in OverlapDetector class
+ vector< vector<int> > allContigs; // set of contigs
+ const SA::Problem *_pbm;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/LayoutBuilder.cpp b/ProyectoFinal/CHC/malva/rep/SA/dnafa/LayoutBuilder.cpp
new file mode 100644
index 0000000..d3ab188
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/LayoutBuilder.cpp
@@ -0,0 +1,423 @@
+/***********************************************************************
+ * File: LayoutBuilder.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file LayoutBuilder.h.
+ ***********************************************************************/
+
+#include "LayoutBuilder.h"
+
+/*********************************************
+ * Purpose: allocate memory and initialization
+ *********************************************/
+
+LayoutBuilder::LayoutBuilder(const vector<string> & frags)
+{
+ preLayoutFrags = frags;
+ fragmentsLayout = new string[frags.size()];
+ semiAlign = new AlignedPair[frags.size()-1];
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+LayoutBuilder::~LayoutBuilder()
+{
+ delete [] semiAlign;
+ delete [] fragmentsLayout;
+}
+
+/************************************************************
+ * Purpose: count number of gaps in front of a given fragment
+ ************************************************************/
+
+int countStartGaps(const string &str)
+{
+ int count = 0;
+ for(int i = 0; i < str.length(); i++)
+ {
+ if(str.at(i) != '-')
+ break;
+ else
+ count++;
+ }
+ return count;
+}
+
+/**************************************************************
+ * Purpose: count number of gaps at the end of a given fragment
+ **************************************************************/
+
+int countEndGaps(const string &str)
+{
+ int count = 0;
+ for(int i = str.length() - 1; i >= 0; i--)
+ {
+ if(str.at(i) != '-')
+ break;
+ else
+ count++;
+ }
+ return count;
+}
+
+/**********************************************************
+ * Purpose: count number of nucleotides in a given fragment
+ **********************************************************/
+
+int countNonGapChar(const string &str)
+{
+ int count = 0;
+ for(int i = 0; i < str.length(); i++)
+ {
+ if(str.at(i) != '-')
+ count++;
+ }
+ return count;
+}
+
+/****************************************
+ * Purpose: create a given number of gaps
+ ****************************************/
+
+string addGaps(int num)
+{
+ string gapStr = "";
+ for(int i = 0; i < num; i++)
+ gapStr += "-";
+
+ return gapStr;
+}
+
+/**********************************************************
+ * Purpose: count number of middle gaps in a given fragment
+ **********************************************************/
+
+int* findMiddleGaps(const string &str, int count)
+{
+ int *midGapCounts = new int[count];
+ int len = str.length();
+
+ for(int i = 0; i < count; i++)
+ {
+ midGapCounts[i] = 0;
+ }
+
+ int k = 0;
+ for(int j = 0; j < len; j++)
+ {
+ if(str[j+1] == '-')
+ {
+ midGapCounts[k]++;
+ }
+ else
+ k++;
+ }
+
+ return midGapCounts;
+}
+
+/********************************************
+ * Purpose: return the first non-gap position
+ ********************************************/
+
+int findFirstNonGapPos(const string &str)
+{
+ for(int i = 0; i < str.length(); i++)
+ {
+ if(str.at(i) != '-')
+ return i;
+ }
+ return -1;
+}
+
+/******************************************************************
+ * Purpose: compute pairwise alignments for given ordered fragments
+ ******************************************************************/
+
+void LayoutBuilder::findAlignments()
+{
+ for(int k = 0; k < preLayoutFrags.size()-1; k++)
+ {
+ string s = preLayoutFrags[k];
+ string t = preLayoutFrags[k+1];
+ SGA sga(s, t);
+ sga.buildMatrix();
+ sga.findBestScore();
+ sga.align();
+
+ AlignedPair aResult(sga.align_s, sga.align_t);
+ semiAlign[k] = aResult;
+ }
+}
+
+/*************************************************************
+ * Purpose: insert number of gaps in front of a given fragment
+ *************************************************************/
+
+void LayoutBuilder::insertStartGaps(int id, int numOfGaps)
+{
+ string temp = fragmentsLayout[id];
+ string startGaps = "";
+ for(int i = 0; i < numOfGaps; i++)
+ startGaps += "-";
+ fragmentsLayout[id] = startGaps + temp;
+}
+
+/***********************************************************
+ * Purpose: insert number of gaps in the middle of fragments
+ ***********************************************************/
+
+void LayoutBuilder::insertMiddleGaps(const string &str1, const string &str2, int k, int prev)
+{
+ int nonGapCount = countNonGapChar(str1);
+ int *midGapCounts1 = findMiddleGaps(str1, nonGapCount-1);
+ int *midGapCounts2 = findMiddleGaps(str2, nonGapCount-1);
+
+ int pos = findFirstNonGapPos(fragmentsLayout[prev]);
+
+ for(int w = 0; w < nonGapCount-1; w++)
+ {
+ pos += 1;
+ if(midGapCounts1[w] != 0 || midGapCounts2[w] != 0)
+ {
+ int gapDiff = abs(midGapCounts1[w] - midGapCounts2[w]);
+ int move = 0;
+ string gaps = "";
+ for(int u = 0; u < gapDiff; u++)
+ gaps += "-";
+
+ if(midGapCounts1[w] > midGapCounts2[w])
+ {
+ fragmentsLayout[k].insert(pos, gaps);
+ move = midGapCounts1[w];
+ }
+ else if (midGapCounts1[w] < midGapCounts2[w])
+ {
+ for(int v = 0; v < k; v++)
+ fragmentsLayout[v].insert(pos, gaps);
+ move = midGapCounts2[w];
+ }
+ pos += move;
+ }
+ }
+ delete [] midGapCounts1;
+ delete [] midGapCounts2;
+}
+
+/***************************************************************
+ * Purpose: insert number of gaps at the end of a given fragment
+ ***************************************************************/
+
+void LayoutBuilder::insertEndGaps(int id, int numOfGaps)
+{
+ string temp = fragmentsLayout[id];
+ string endGaps = "";
+ for(int i = 0; i < numOfGaps; i++)
+ endGaps += "-";
+ fragmentsLayout[id] = temp + endGaps;
+}
+
+/**************************************************************
+ * Purpose: extract fragment excluding starting and ending gaps
+ **************************************************************/
+
+string LayoutBuilder::extractMiddleSeq(const string &str)
+{
+ int startGapCount = countStartGaps(str);
+ int endGapCount = countEndGaps(str);
+ int num = str.length() - startGapCount - endGapCount;
+ return str.substr(startGapCount, num);
+}
+
+/************************************
+ * Purpose: check if it is ending gap
+ ************************************/
+
+bool LayoutBuilder::isEndGap(int i, int col)
+{
+ string middle = extractMiddleSeq(fragmentsLayout[i]);
+ int firstNonGap = findFirstNonGapPos(fragmentsLayout[i]);
+
+ if(col < firstNonGap || col > firstNonGap + middle.length() - 1)
+ return true;
+ else
+ return false;
+}
+
+/************************************************
+ * Purpose: progressively build a fragment layout
+ ************************************************/
+
+void LayoutBuilder::buildLayout()
+{
+ int j = 0;
+ fragmentsLayout[j++] = semiAlign[0].s;
+ fragmentsLayout[j++] = semiAlign[0].t;
+
+ for(int i = 1; i < preLayoutFrags.size()-1; i++)
+ {
+ fragmentsLayout[j] = semiAlign[i].t;
+
+ /* handle starting gaps */
+
+ string s_temp = semiAlign[i].s;
+
+ int s_startGaps = countStartGaps(fragmentsLayout[j-1]);
+ int stemp_startGaps = countStartGaps(s_temp);
+ int startGapDiff = abs(s_startGaps - stemp_startGaps);
+
+ if(startGapDiff > 0)
+ {
+ if(stemp_startGaps > s_startGaps)
+ {
+ for(int m = 0; m < j; m++)
+ insertStartGaps(m, startGapDiff);
+ }
+ else
+ insertStartGaps(j, startGapDiff);
+ }
+
+ /* handle middle gaps */
+
+ string s_middle = extractMiddleSeq(fragmentsLayout[j-1]);
+ string stemp_middle = extractMiddleSeq(s_temp);
+
+ insertMiddleGaps(s_middle, stemp_middle, j, j-1);
+
+ /* handle end gaps */
+
+ int s_endGaps = countEndGaps(fragmentsLayout[j-1]);
+ int stemp_endGaps = countEndGaps(s_temp);
+ int endGapDiff = abs(s_endGaps - stemp_endGaps);
+
+ if(endGapDiff > 0)
+ {
+ if(stemp_endGaps > s_endGaps)
+ {
+ for(int m = 0; m < j; m++)
+ insertEndGaps(m, endGapDiff);
+ }
+ else
+ insertEndGaps(j, endGapDiff);
+ }
+ j++;
+ }
+}
+
+/***********************************************
+ * Purpose: find majority of a particular column
+ ***********************************************/
+
+char LayoutBuilder::majorityVote(int col)
+{
+ int count[5] = { 0, 0, 0, 0, 0 };
+ char nucleotide[5] = {'A', 'T', 'C', 'G', '-'};
+ char majority1 = 'A';
+ char majority2 = 'A';
+
+ for(int i = 0; i < preLayoutFrags.size(); i++)
+ {
+ if(fragmentsLayout[i].at(col) == 'A')
+ count[0]++;
+ else if(fragmentsLayout[i].at(col) == 'T')
+ count[1]++;
+ else if(fragmentsLayout[i].at(col) == 'C')
+ count[2]++;
+ else if(fragmentsLayout[i].at(col) == 'G')
+ count[3]++;
+ else if(fragmentsLayout[i].at(col) == '-')
+ count[4]++;
+ }
+ int max = count[0];
+ for(int j = 1; j < 5; j++)
+ {
+ if(count[j] > max)
+ {
+ majority2 = majority1;
+ max = count[j];
+ majority1 = nucleotide[j];
+ }
+ }
+ bool endGap = true;
+ if(majority1 == '-')
+ {
+ for(int i = 0; i < preLayoutFrags.size() && endGap; i++)
+ {
+ if(fragmentsLayout[i].at(col) == '-')
+ {
+ endGap = isEndGap(i, col);
+ }
+ }
+
+ if(endGap)
+ return majority2;
+ }
+ return majority1;
+}
+
+/***************************************
+ * Purpose: find majority of all columns
+ ***************************************/
+
+void LayoutBuilder::findMajority()
+{
+ int length = fragmentsLayout[0].length();
+
+ majority = "";
+ for(int i = 0; i < length; i++)
+ {
+ char c = majorityVote(i);
+ majority += c;
+ }
+}
+
+/********************************************
+ * Purpose: determine sequence for the layout
+ ********************************************/
+
+void LayoutBuilder::findConsensus()
+{
+ findMajority();
+ consensus = "";
+ for(int i = 0; i < majority.length(); i++)
+ {
+ if(majority.at(i) != '-')
+ consensus += majority.at(i);
+ }
+}
+
+/***************************************************
+ * Purpose: print info about all pairs of alignments
+ ***************************************************/
+
+void LayoutBuilder::printAlignments()
+{
+ for(int j = 0; j < preLayoutFrags.size()-1; j++)
+ semiAlign[j].printAlign();
+}
+
+/***********************
+ * Purpose: print layout
+ ***********************/
+
+void LayoutBuilder::printLayout()
+{
+ for(int i = 0; i < preLayoutFrags.size(); i++)
+ cout << fragmentsLayout[i] << endl;
+ cout << endl;
+}
+
+/**************************
+ * Purpose: print consensus
+ **************************/
+
+void LayoutBuilder::printConsensus()
+{
+ cout << consensus << endl;
+}
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/LayoutBuilder.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/LayoutBuilder.h
new file mode 100644
index 0000000..3e611f5
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/LayoutBuilder.h
@@ -0,0 +1,53 @@
+/*********************************************************************
+ * File: LayoutBuilder.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This LayoutBuilder class builds a layout for a contig.
+ * The contig consists of an ordered set of contiguous
+ * overlapping fragments.
+ *********************************************************************/
+
+#ifndef LAYOUTBUILDER_H
+#define LAYOUTBUILDER_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <string>
+#include <vector>
+#include "sga.h"
+#include "AlignedPair.h"
+
+using namespace std;
+
+class LayoutBuilder
+{
+public:
+ LayoutBuilder(const vector<string> & frags); // constructor
+ ~LayoutBuilder(); // destructor
+ void findAlignments(); // compute the alignments using SGA
+ void buildLayout(); // progressively build layout
+ void insertStartGaps(int id, int numOfGaps); // insert '-' at the beginning of fragments
+ void insertMiddleGaps(const string &str1, const string &str2, int k, int prev);
+ void insertEndGaps(int id, int numOfGaps); // insert '-' at the end of fragments
+ string extractMiddleSeq(const string &str);
+ bool isEndGap(int i, int col);
+ void findMajority(); // find majorities of the layout
+ char majorityVote(int col); // find majority of a particular column
+ void findConsensus();
+ void printLayout();
+ void printConsensus();
+ void printAlignments();
+ string getConsensus() { return consensus; }
+private:
+ vector<string> preLayoutFrags; // ordered fragments
+ AlignedPair * semiAlign; // store pairwise alignment result
+ string * fragmentsLayout; // store layout
+ string majority;
+ string consensus;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/MainLan.cc b/ProyectoFinal/CHC/malva/rep/SA/dnafa/MainLan.cc
new file mode 100644
index 0000000..2b937bd
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/MainLan.cc
@@ -0,0 +1,57 @@
+#include "SA.hh"
+#include "ContigBuilder.h"
+#include <iostream.h>
+#include <fstream.h>
+
+extern int Global_cutoff;
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+ Global_cutoff = pbm.cutoff;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/SA/dnafa/MainSeq.cc
new file mode 100644
index 0000000..488096d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/MainSeq.cc
@@ -0,0 +1,48 @@
+#include "SA.hh"
+#include "ContigBuilder.h"
+#include <iostream.h>
+#include <fstream.h>
+
+extern int Global_cutoff;
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+//cout << pbm;
+ Global_cutoff = pbm.cutoff;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/Makefile b/ProyectoFinal/CHC/malva/rep/SA/dnafa/Makefile
new file mode 100644
index 0000000..275b857
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/Makefile
@@ -0,0 +1,25 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainScore: SA.req.o SA.pro.o StopCondition.o MainScore.o OverlapDetector.o sga.o AdjKeys.o ContigBuilder.o ConsensusBuilder.o LayoutBuilder.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/DNAFA-instances/pbm.txt res/dna.sa.seq.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/OverlapDetector.cpp b/ProyectoFinal/CHC/malva/rep/SA/dnafa/OverlapDetector.cpp
new file mode 100644
index 0000000..49b81ec
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/OverlapDetector.cpp
@@ -0,0 +1,130 @@
+/***********************************************************************
+ * File: OverlapDetector.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file OverlapDetector.h.
+ ***********************************************************************/
+
+#include "OverlapDetector.h"
+
+/**************************
+ * Purpose: allocate memory
+ **************************/
+
+OverlapDetector::OverlapDetector(int nof):nbOfFrag(nof)
+{
+ score = new int*[nof];
+ for(int i = 0; i < nof; i++)
+ score[i] = new int[nof];
+}
+
+/**************************
+ * Purpose: release memory
+ **************************/
+
+OverlapDetector::~OverlapDetector()
+{
+ for(int j = 0; j < nbOfFrag; j++)
+ delete [] score[j];
+ delete [] score;
+}
+
+/**********************************************************
+ * Purpose: construct a score table to store overlap length
+ * of all possible pair of fragments
+ **********************************************************/
+
+void OverlapDetector::buildScoresTable(vector<string>* fragments, vector<string>* rcFragments)
+{
+ for(int i = 0; i < nbOfFrag; i++)
+ {
+ string rcFrags = rcFragments->at(i);
+
+ for(int j = i+1; j < nbOfFrag; j++)
+ {
+ SGA sga1(fragments->at(i), fragments->at(j)); // eg. w1 and w2
+ sga1.buildMatrix();
+ sga1.findBestScore();
+ int score1 = sga1.getBestScore();
+
+ SGA sga2(rcFrags, fragments->at(j)); // eg. rcw1 and w2
+ sga2.buildMatrix();
+ sga2.findBestScore();
+ int score2 = sga2.getBestScore();
+
+ if(score2 > score1) // store the larger one
+ score[j][i] = score[i][j] = -score2;
+ else
+ score[j][i] = score[i][j] = score1;
+ }
+ }
+}
+
+/***************************
+ * Purpose: for testing use
+ ***************************/
+
+void OverlapDetector::readScoreTable()
+{
+ string inputFile = string(getenv("HOME")) + "/Mallba/ProblemInstances/DNAFA-instances/score.txt";
+ ifstream inFile(inputFile.c_str(), ios::in);
+ if( !inFile )
+ {
+ cout << "\n\t\t*** The file " << inputFile
+ << " doesn't exist! ***" << endl << endl;
+ exit(1);
+ }
+
+/* char seps[] = " \t\n";
+ char oneLine[2000];
+ int i = 0;
+ inFile.getline(oneLine, 2000);
+ while(inFile.getline(oneLine, 2000))
+ {
+ int j = 0;
+ char * token = strtok(oneLine, seps);
+
+ while (token != NULL)
+ {
+ score[i][j] = atoi(token);
+ token = strtok(NULL, seps);
+ j++;
+ }
+ i++;
+ }*/
+ for(int i = 0; i < nbOfFrag; i++)
+ for(int j= 0; j < nbOfFrag; j++)
+ inFile >> score[i][j];
+ inFile.close();
+}
+
+/************************************
+ * Purpose: print overlap score table
+ ************************************/
+
+void OverlapDetector::printScoreTable()
+{
+// cout << endl << "*** *** *** *** Overlap Score Table *** *** *** ***" << endl << endl;
+
+// cout << " ";
+// for(int k = 0; k < nbOfFrag; k++)
+// cout << setw(5) << setiosflags(ios::right) << "F" << k;
+
+ for(int i = 0; i < nbOfFrag; i++)
+ {
+ cout << endl;
+// cout << "F" << i << " ";
+ for(int j = 0; j < nbOfFrag; j++)
+ {
+ if(i == j)
+ cout << setw(5) << setiosflags(ios::right) << "0 ";
+ else
+ cout << setw(5) << setiosflags(ios::right) << score[i][j] << " ";
+ }
+ }
+// cout << endl << endl << "*****************************************************" << endl;
+}
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/OverlapDetector.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/OverlapDetector.h
new file mode 100644
index 0000000..a0a0594
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/OverlapDetector.h
@@ -0,0 +1,45 @@
+/***************************************************************
+ * File: OverlapDetector.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This OverlapDetector class is used to detect the
+ * similarity of all possible pair of fragments. The
+ * overlap length between any two fragments is stored
+ * in a two dimentional array called score.
+ ***************************************************************/
+
+#ifndef OVERLAPDETECTOR_H
+#define OVERLAPDETECTOR_H
+
+#pragma warning(disable: 4786)
+
+#include <iostream>
+#include <fstream>
+#include <iomanip>
+#include <stdlib.h>
+#include <string>
+#include <vector>
+
+#include "sga.h"
+
+using namespace std;
+
+
+class OverlapDetector
+{
+public:
+ OverlapDetector(int nof); // constructor
+ ~OverlapDetector(); // destructor
+ void buildScoresTable(vector<string>*, vector<string>*); // build overlap score table for fragments
+ void readScoreTable();
+ void printScoreTable();
+ int ** getScoreTable() { return score; }
+private:
+ int ** score; // to store the overlap length of all possible pair of fragments
+ int nbOfFrag; // Number of Fragments
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.cfg b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.cfg
new file mode 100644
index 0000000..739dc52
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+25600 // number of evaluations
+256 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+200000 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+200 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.hh b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.hh
new file mode 100644
index 0000000..c8d6914
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.hh
@@ -0,0 +1,494 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+#include <vector>
+#include "OverlapDetector.h"
+
+using namespace std;
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int numOfFragments; // number of fragments^M
+ double avgLength; // average length of the input fragments^M
+ int cutoff; // overlap threshold^M
+ int * fragmentLength; // fragments' lengths^M
+ vector<string>* fragments; // forward direction of the fragments^M
+ vector<string>* description; // description of the fragments (Nombre Del Fragmento)^M
+ vector<string>* rcFragments; // reverse complement of the fragments
+ OverlapDetector *detector;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness ();
+ int& fragment(const int index);
+ int* fragments();
+
+ private:
+ int * fragOrder; // an order of an individual ^M
+ const Problem& _pbm;
+
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.pro.cc b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.pro.cc
new file mode 100644
index 0000000..a89284b
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.pro.cc
@@ -0,0 +1,1808 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ /* if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+ */
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.pro.cc1 b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.pro.cc1
new file mode 100644
index 0000000..3d95a77
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.pro.cc1
@@ -0,0 +1,1837 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+#include "ContigBuilder.h"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %d ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+/* if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);*/
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+cerr << current_best_cost() << endl;
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ {
+ run(params.max_evaluations());
+// cerr << "Entrado" << endl;
+// Solution s(current_best_solution());
+// cerr << s;
+// ContigBuilder * builder = new ContigBuilder(s.fragments(), problem.detector->getScoreTable(),&problem);
+// builder->buildContigs();
+// builder->mergeContigs();
+// // builder->buildConsensus();
+// delete builder;
+
+ }
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+cout << "ConstructorA " << endl;
+ NetStream::init(argc,argv);
+cout << "ConstructorB " << endl;
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+cout << "Constructor " << endl;
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ {
+ run(params.max_evaluations());
+ if(mypid == 0)
+ {
+// cerr << "Entrado" << endl;
+// Solution s(current_solution());
+// cerr << s;
+// ContigBuilder * builder = new ContigBuilder(s.fragments(), problem.detector->getScoreTable(),&problem);
+// builder->buildContigs();
+// builder->mergeContigs();
+// // builder->buildConsensus();
+// delete builder;
+ }
+ }
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.req.cc b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.req.cc
new file mode 100644
index 0000000..153f37c
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/SA.req.cc
@@ -0,0 +1,437 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+#include <math.h>
+#include "Util.h"
+#include "AdjKeys.h"
+
+skeleton SA {
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():numOfFragments(0),avgLength(0.0),cutoff(0),
+ fragmentLength(NULL),fragments(NULL),rcFragments(NULL),
+ description(NULL)
+ {
+ }
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm.cutoff);
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+//cout << buffer;
+ ifstream f((string(getenv("HOME")) + buffer).c_str());
+
+ int seqCount = -1;
+ pbm.fragments = new vector<string>();
+ pbm.description = new vector<string>();
+
+ /* read fragments from input file and store its description in descr[]
+ and its sequence in sequence[] */
+
+ char oneLine[2000];
+ string sequence;
+ string upperSeq;
+ while(f.getline(oneLine, 2000))
+ {
+//cout << oneLine;
+ string temp = string(oneLine);
+ int rightArrow = temp.find_first_of(">");
+ if(rightArrow != -1) //rightArrow is found
+ {
+ seqCount++;
+ if(seqCount != 0)
+ pbm.fragments->push_back(sequence);
+ int space = temp.find(" ", rightArrow);
+ pbm.description->push_back(temp.substr(rightArrow+1, space));
+ sequence = "";
+ }
+ else //line doesn't start with rightArrow
+ {
+ upperSeq = "";
+ for(int i = 0; i < temp.length(); i++)
+ upperSeq += toupper(temp.at(i));
+
+ sequence.append(upperSeq);
+ }
+ }
+ pbm.fragments->push_back(sequence);
+ f.close();
+
+ pbm.numOfFragments = pbm.fragments->size();
+ pbm.fragmentLength = new int[pbm.numOfFragments];
+
+ pbm.rcFragments = new vector<string>();
+
+ for(int j = 0; j < pbm.numOfFragments; j++)
+ {
+ pbm.rcFragments->push_back(Util::rcSequence(pbm.fragments->at(j)));
+//cout << pbm.description->at(j) << " " << pbm.fragments->at(j) << " " << pbm.rcFragments->at(j) << endl;
+ }
+
+ int sumLength = 0;
+ for(int i = 0; i < pbm.numOfFragments; i++)
+ {
+ pbm.fragmentLength[i] = pbm.fragments->at(i).length();
+ sumLength += pbm.fragmentLength[i];
+ }
+ pbm.avgLength = (double)sumLength / (double)pbm.numOfFragments;
+
+ pbm.detector = new OverlapDetector(pbm.numOfFragments);
+// pbm.detector->buildScoresTable(pbm.fragments, pbm.rcFragments);
+ pbm.detector->readScoreTable();
+// pbm.detector->printScoreTable();
+
+ return is;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ // Falta terminar
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize; // F1
+// return minimize; // F2
+ }
+
+ Problem::~Problem()
+ {
+ delete detector;
+ delete fragments;
+ delete rcFragments;
+ delete description;
+ delete [] fragmentLength;
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),fragOrder(new int[pbm.numOfFragments])
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ if(fragOrder != NULL) delete [] fragOrder;
+
+ fragOrder = new int [_pbm.numOfFragments];
+
+ for(int i = 0; i < _pbm.numOfFragments; i++)
+ fragOrder[i] = sol.fragOrder[i];
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ is >> sol.fragOrder[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ os << " " << sol.fragOrder[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ ns << sol.fragOrder[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numOfFragments;i++)
+ ns >> sol.fragOrder[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ if(fragOrder != NULL) delete [] fragOrder;
+
+ fragOrder = new int [_pbm.numOfFragments];
+
+ for(int i = 0; i < _pbm.numOfFragments; i++)
+ fragOrder[i] = sol.fragOrder[i];
+
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ for(int i = 0; i < _pbm.numOfFragments; i++)
+ if(fragOrder[i] != sol.fragOrder[i]) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ int * randNum = new int[_pbm.numOfFragments];
+
+ for(int k = 0; k < _pbm.numOfFragments; k++)
+ {
+ int num = rand_int(0, _pbm.numOfFragments * 2);
+ randNum[k] = num;
+ fragOrder[k] = k;
+ }
+
+ // sort value and store index as fragment order
+ for(int i = 0; i < _pbm.numOfFragments-1; i++)
+ {
+ for(int j = i+1; j < _pbm.numOfFragments; j++)
+ {
+ if( randNum[i] > randNum[j])
+ {
+ int temp = randNum[i];
+ randNum[i] = randNum[j];
+ randNum[j] = temp;
+
+ temp = fragOrder[i];
+ fragOrder[i] = fragOrder[j];
+ fragOrder[j] = temp;
+ }
+ }
+ }
+ delete [] randNum;
+ }
+
+ double Solution::fitness ()
+ {
+ int ** score = _pbm.detector->getScoreTable();
+ // F1 maximization
+ int fit = 0;
+
+ for(int k = 0; k < _pbm.numOfFragments-1; k++)
+ {
+ int i = fragOrder[k];
+ int j = fragOrder[k+1];
+
+ fit += abs(score[i][j]);
+ }
+ return (double) fit;
+ // F2 minimization
+/* int fit = 0;
+ int nof = _pbm.numOfFragments;
+
+ for(int i = 0; i < nof; i++)
+ {
+ int m = fragOrder[i];
+ for(int j = 0; j < nof; j++)
+ {
+ if(i != j)
+ {
+ int n = fragOrder[j];
+ if((nof<m) || (nof<n) || (m<0) || (n<0))
+ {
+ cout << "Error en indices" << endl;
+ return infinity();
+ }
+ fit += abs(i-j) * abs(score[m][n]);
+ }
+ }
+ }
+ return (double)fit;
+*/ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)fragOrder;
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+
+ for (int i=0;i<_pbm.numOfFragments;i++)
+ {
+ fragOrder[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.numOfFragments * sizeof(int));
+ }
+
+
+ int& Solution::fragment(const int index)
+ {
+ return fragOrder[index];
+ }
+
+
+ int* Solution::fragments()
+ {
+ return fragOrder;
+ }
+
+ Solution::~Solution()
+ {
+ delete [] fragOrder;
+ }
+
+ // UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ int indsize = sol.pbm().numOfFragments;
+ int r1 = rand_int(0, indsize-1);
+ int r2 = rand_int(0, indsize-1);
+
+ while(r2 == r1)
+ {
+ if(r1 == indsize-1) r2 = rand_int(0, indsize-2);
+ else r2 = rand_int(r1, indsize-1);
+ }
+
+ /* // swap
+ int temp = sol.fragment(r1);
+ sol.fragment(r1) = sol.fragment(r2);
+ sol.fragment(r2) = temp;
+*/
+ // 2-opt
+ if(r2 < r1)
+ {
+ int temp = r1;
+ r1 = r2;
+ r2 = temp;
+ }
+ while(r2 > r1)
+ {
+ int temp = sol.fragment(r1);
+ sol.fragment(r1) = sol.fragment(r2);
+ sol.fragment(r2) = temp;
+ ++r1;
+ --r2;
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/StopCondition.cc b/ProyectoFinal/CHC/malva/rep/SA/dnafa/StopCondition.cc
new file mode 100644
index 0000000..2033972
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (false);
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/StopCondition.hh b/ProyectoFinal/CHC/malva/rep/SA/dnafa/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/Util.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/Util.h
new file mode 100644
index 0000000..fcea0d2
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/Util.h
@@ -0,0 +1,71 @@
+/**************************************************************
+ * File: Util.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This Util class consists of utility functions
+ * used by other classes
+ **************************************************************/
+
+#ifndef UTIL_H
+#define UTIL_H
+
+#include <stdlib.h>
+#include <vector>
+
+using namespace std;
+
+class Util
+{
+public:
+ /* returns a randomly generated floating point number ranged [min, max] */
+// static double randDouble(double min, double max)
+// {
+// return (1.0*rand()*(max-min)/RAND_MAX + min);
+// }
+
+ /* returns a randomly generated interge number ranged [min, max] */
+// static int randInt(int min, int max)
+// {
+// return (int)randDouble(min, max);
+// }
+
+ /* returns a string that is the reverse of a given DNA sequence */
+ static string revSequence(const string &s)
+ {
+ string revSeq = s;
+ int j = 0;
+ for(int i = s.length()-1; i >= 0; i--)
+ revSeq[j++] = s.at(i);
+
+ return revSeq;
+ }
+
+ /* returns a string that is the complement of a given DNA sequence */
+ static string complSequence(const string &s)
+ {
+ string compSeq = s;
+ int j = 0;
+ for(unsigned int i = 0; i < s.length(); i++)
+ {
+ if(s.at(i) == 'A')
+ compSeq[j++] = 'T';
+ else if(s.at(i) == 'T')
+ compSeq[j++] = 'A';
+ else if(s.at(i) == 'C')
+ compSeq[j++] = 'G';
+ else if(s.at(i) == 'G')
+ compSeq[j++] = 'C';
+ else
+ compSeq[j++] = s.at(i);
+ }
+ return compSeq;
+ }
+
+ /* returns a string that is the reverse complement of a given DNA sequence */
+ static string rcSequence(const string &s)
+ {
+ return complSequence(revSequence(s));
+ }
+};
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/list.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/list.h
new file mode 100644
index 0000000..46eff2e
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/list.h
@@ -0,0 +1,300 @@
+/***************************************************************
+ * File: list.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This List class is a template class. It builds a
+ * single linked list of any type of objects.
+ ***************************************************************/
+
+#ifndef LIST_H
+#define LIST_H
+
+#include <assert.h>
+#include <stdlib.h>
+#include <iostream>
+using namespace std;
+
+template <class T>
+struct ListNode
+{
+ T data; // T could be any type of object
+ ListNode<T> *next;
+};
+
+template <class T>
+class List1
+{
+public:
+ ListNode<T>* header; // header is a dummy node
+ ListNode<T>* current;
+ int len; // length of the linked list
+
+ List1(); // constructor
+ ~List1(); // destructor
+
+ List1(const List1<T> & source); // copy constructor
+ List1<T> & operator=(const List1<T> & source);
+ void append(const T); // append data at the end of list
+ void insert(const T); // insert data in order
+ void insertPtr(const T); // insert pointer type of object in order
+ void insertFront(const T); // insert data at the beginning of the list
+ void remove(const T); // delete data from list
+ void next();
+ void prev();
+ void reset();
+ void clear();
+ int length() const { return len; }
+ bool isEmpty() const; // check whether list is empty
+ bool isFull() const; // check whether memory is allocated
+ T value() const; // return content of the data
+ void printList();
+ void printListPtr();
+ ListNode<T>* findPrevious(const T);
+ ListNode<T>* search(const T);
+};
+
+template <class T>
+List1<T>::List1()
+{
+ header = new ListNode<T>;
+ header->next = NULL;
+ current = header;
+ len = 0;
+}
+
+template <class T>
+List1<T>::List1(const List1<T> & source)
+{
+ header = NULL;
+ *this = source;
+}
+
+template <class T>
+List1<T> & List1<T>::operator=(const List1<T> & source)
+{
+ if(this != &source)
+ {
+ ListNode<T> * current = source.header;
+ while(current != NULL)
+ {
+ insert(current->data);
+ current = current->pnext;
+ }
+ }
+ return *this;
+}
+
+template <class T>
+void List1<T>::clear()
+{
+ ListNode<T> *tmp;
+ ListNode<T> *previous = header;
+ ListNode<T> *traverse = header->next;
+
+ while(traverse != NULL) // release memory from list
+ {
+ tmp = traverse;
+ previous->next = traverse->next;
+ traverse = traverse->next;
+ delete tmp;
+ }
+ current = header;
+ len = 0;
+}
+
+template <class T>
+List1<T>::~List1()
+{
+ clear();
+ delete header;
+}
+
+
+template <class T>
+void List1<T>::insert(const T item)
+{
+ assert(!isFull());
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = NULL;
+ if(len == 0) // no need to traverse
+ {
+ newNode->next = current->next;
+ current->next = newNode;
+ }
+ else // need to traverse
+ {
+ ListNode<T> * temp = header;
+ while((temp->next != NULL) && (item < temp->next->data))
+ temp = temp->next;
+ newNode->next = temp->next;
+ temp->next = newNode;
+ }
+ len++;
+}
+
+template <class T>
+void List1<T>::insertPtr(const T item)
+{
+ assert(!isFull());
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = NULL;
+ if(len == 0) // no need to traverse
+ {
+ newNode->next = current->next;
+ current->next = newNode;
+ }
+ else // need to traverse
+ {
+ ListNode<T> * temp = header;
+ while((temp->next != NULL) && (*item < *(temp->next->data))) // pointer need dereference
+ temp = temp->next;
+ newNode->next = temp->next;
+ temp->next = newNode;
+ }
+ len++;
+}
+
+template <class T>
+void List1<T>::insertFront(const T item)
+{
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = header->next;
+ header->next = newNode;
+ len++;
+}
+
+template <class T>
+void List1<T>::append(const T item)
+{
+ assert(!isFull());
+ ListNode<T> * newNode = new ListNode<T>;
+ newNode->data = item;
+ newNode->next = NULL;
+ ListNode<T> *traverse = header;
+ while(traverse->next != NULL)
+ traverse = traverse->next;
+ traverse->next = newNode;
+ len++;
+}
+
+template <class T>
+ListNode<T>* List1<T>::findPrevious(const T target)
+{
+ ListNode<T> *temp;
+
+ for(temp = header; temp->next != NULL; temp = temp->next)
+ if(*(temp->next->data) == *target)
+ return temp;
+
+ return NULL;
+}
+
+template <class T>
+void List1<T>::remove(const T target)
+{
+ if(len != 0)
+ {
+ ListNode<T> *p = findPrevious(target);
+ if(p->next != NULL)
+ {
+ ListNode<T> *oldNode = p->next;
+ p->next = p->next->next;
+ delete oldNode;
+ len--;
+ }
+ }
+}
+
+template <class T>
+void List1<T>::next()
+{
+ current = current->next;
+}
+
+template <class T>
+void List1<T>::prev()
+{
+ if(len > 1)
+ {
+ ListNode<T>* tmp = header;
+ while(tmp->next != current)
+ tmp = tmp->nect;
+
+ current = tmp;
+ }
+}
+
+template <class T>
+void List1<T>::reset()
+{
+ current = header;
+}
+
+template <class T>
+bool List1<T>::isEmpty() const
+{
+ return (len == 0);
+}
+
+template <class T>
+bool List1<T>::isFull() const
+{
+ ListNode<T> *tmp = new ListNode<T>;
+ if(tmp == NULL)
+ return true;
+ else
+ {
+ delete tmp;
+ return false;
+ }
+}
+
+template <class T>
+T List1<T>::value() const
+{
+ return current->next->data;
+}
+
+template <class T>
+ListNode<T>* List1<T>::search(const T target)
+{
+ ListNode<T> *temp;
+
+ for(temp = header->next; temp != NULL; temp = temp->next)
+ if((*target) == *(temp->data))
+ return temp;
+
+ return NULL;
+}
+
+template <class T>
+void List1<T>::printList()
+{
+ cout << endl;
+ for(int i = 0; i < len; i++)
+ {
+ cout << value();
+ next();
+ }
+ reset();
+}
+
+template <class T>
+void List1<T>::printListPtr()
+{
+ cout << endl;
+ for(int i = 0; i < len; i++)
+ {
+ cout << *(value()); // pointer need dereference
+ next();
+ }
+ reset();
+}
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/pgfileLan b/ProyectoFinal/CHC/malva/rep/SA/dnafa/pgfileLan
new file mode 100644
index 0000000..d8a0011
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/pgfileLan
@@ -0,0 +1,3 @@
+localhost 0 ~/Mallba/rep/SA/dnafa/MainLan
+localhost 1 ~/Mallba/rep/SA/dnafa/MainLan
+localhost 1 ~/Mallba/rep/SA/dnafa/MainLan
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/scp.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/scp.h
new file mode 100644
index 0000000..86960d6
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/scp.h
@@ -0,0 +1,53 @@
+/*******************************************************************
+ * File: scp.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This SubConsensusPair class is used to create
+ * SubConsensusPair objects for ConsensusBuilder class
+ *******************************************************************/
+
+#ifndef SCP_H
+#define SCP_H
+
+#include <iostream>
+
+using namespace std;
+
+class SubConsensusPair
+{
+public:
+ int cid1; // first consensus's ID
+ int cid2; // second consensus's ID
+ int score; // overlap score between two consensuses
+
+ SubConsensusPair() { } // default constructor
+ SubConsensusPair(int id1, int id2, int s) // user defined constructor
+ {
+ cid1 = id1;
+ cid2 = id2;
+ score = s;
+ }
+ virtual ~SubConsensusPair() { } // destructor
+
+ bool operator<(const SubConsensusPair& source) const
+ {
+ if(score < source.score)
+ return true;
+ else
+ return false;
+ }
+ /* overload operator<< for printing the contents of a SubConsensusPair object */
+ friend ostream& operator<<(ostream& os, const SubConsensusPair &info)
+ {
+ os << "(" << info.cid1 << ", " << info.cid2 << ", " << info.score << ")" << endl;
+ return os;
+ }
+};
+
+ /* overload operator<< for printing the contents of a SubConsensusPair object */
+ //ostream& operator<<(ostream& os, const SubConsensusPair& info)
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.cpp b/ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.cpp
new file mode 100644
index 0000000..29d740b
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.cpp
@@ -0,0 +1,256 @@
+/***********************************************************************
+ * File: sga.cpp
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: It provides implementation of all the functions declared
+ * in the header file sga.h.
+ ***********************************************************************/
+
+#include "sga.h"
+
+/*********************************************
+ * Purpose: allocate memory and initialization
+ *********************************************/
+
+SGA::SGA(const string &is, const string &it)
+{
+ g = -2; // gap penalty = -2
+ s = is;
+ t = it;
+ m = s.length();
+ n = t.length();
+// /**/ cout << "\t size " << m+1 << " x " << n+1 << endl;
+ bestScore = 0;
+}
+
+/*************************
+ * Purpose: release memory
+ *************************/
+
+SGA::~SGA()
+{
+}
+
+
+/*******************************************************
+ * Purpose: Build a score matrix to store the scores of
+ * pairwise semiglobal alignment
+ *******************************************************/
+
+void SGA::CalculateBest(int i, int j, int score)
+{
+//cout << "(" << i<<","<< j<<","<<score<<")"<<endl;
+ if(j == n)
+ {
+ if((score == n) && (score > bestScore)) // -------
+ { // ---
+ bestScore = score;
+ overlapType = 1;
+ }
+ else if((score == i) && (score > bestScore)) // -------
+ { // -------
+ bestScore = score;
+ overlapType = 2;
+ }
+ }
+
+ if(i == m)
+ {
+ if((score == m) && (score > bestScore)) // ---
+ { // ---------
+ bestScore = score;
+ overlapType = 3;
+ }
+ else if((score == j) && (score > bestScore)) // -------
+ { // -------
+ bestScore = score;
+ overlapType = 4;
+ }
+ }
+}
+
+void SGA::buildMatrix()
+{
+ // Primero la mitad superior
+ int i,j,k;
+ int score;
+ bestScore = 0;
+ overlapType = 3;
+ for(k = 1; k <= m; k++)
+ {
+ score = 0;
+ i = k;
+ j = 1;
+ while((j <=n) && (i <=m))
+ {
+ if(p(i,j) == 1)
+ score = score + 1;
+ else
+ score = 0;
+ j++;
+ i++;
+ }
+ i--;j--;
+ CalculateBest(i,j,score);
+ }
+
+ for(k = 2; k <= n; k++)
+ {
+ score = 0;
+ j = k;
+ i = 1;
+ while(j <=n && i <=m)
+ {
+ if(p(i,j) == 1)
+ score = score + 1;
+ else
+ score = 0;
+ j++;
+ i++;
+ }
+ i--;j--;
+ CalculateBest(i,j,score);
+ }
+}
+
+/***************************
+ * match score = 1
+ * mismatch score = -1
+ ***************************/
+
+int SGA::p(int i, int j)
+{
+ if (s[i-1] == t[j-1]) // match
+ return 1;
+ else
+ return -1;
+}
+
+/****************************************************
+ * Purpose: find the maximum number of x, y, and z
+ ****************************************************/
+
+int SGA::max(int x, int y, int z)
+{
+ int temp = x;
+ if (x < y)
+ temp = y;
+ if (temp < z)
+ temp = z;
+ return temp;
+}
+
+/********************************************************************
+ * Purpose: find the best score for the pairwise semiglobal alignment
+ ********************************************************************/
+
+void SGA::findBestScore()
+{
+}
+
+
+/**********************************************************************
+ * Purpose: Align the two sequence starting from the the row and column
+ * with the best score
+ **********************************************************************/
+
+void SGA::align()
+{
+ int i;
+ int start;
+//cout << s << endl << t << endl << bestScore << " " << overlapType << endl;
+//exit(-1);
+ string preGaps = "";
+ string postGaps = "";
+ if((start = s.find(t)) != string::npos) // t is substring of s
+ {
+ align_s = s;
+ for(i = 0; i < start; i++)
+ preGaps += "-";
+ align_t = preGaps + t;
+
+ for(i = start+bestScore; i < m; i++)
+ postGaps += "-";
+ align_t += postGaps;
+ }
+ else if((start = t.find(s)) != string::npos) // s is substring of t
+ {
+ align_t = t;
+ for(i = 0; i < start; i++)
+ preGaps += "-";
+ align_s = preGaps + s;
+
+ for(i = start+bestScore; i < n; i++)
+ postGaps += "-";
+ align_s += postGaps;
+ }
+ else if(overlapType == 4)
+ {
+ int preNumGaps = m - bestScore;
+ for(int i = 0; i < preNumGaps; i++)
+ preGaps += "-";
+ align_t = preGaps + t;
+
+ int postNumGaps = align_t.length() - m;
+ for(int j = 0; j < postNumGaps; j++)
+ postGaps += "-";
+ align_s = s + postGaps;
+ }
+ else
+ {
+ int preNumGaps = n - bestScore;
+ for(int i = 0; i < preNumGaps; i++)
+ preGaps += "-";
+ align_s = preGaps + s;
+
+ int postNumGaps = align_s.length() - n;
+ for(int j = 0; j < postNumGaps; j++)
+ postGaps += "-";
+ align_t = t + postGaps;
+ }
+}
+
+/************************************************************
+ * Purpose: Print the score matrix for the pairwise alignment
+ ************************************************************/
+
+void SGA::printMatrix()
+{
+/* for (int i = 0; i <= m; i++)
+ {
+ cout << endl;
+ for (int j = 0; j <= n; j++)
+ {
+ printf("%3d", score[i][j]);
+ }
+ }
+ cout << endl << endl;
+ cout << "The best score is: " << bestScore << endl << endl;*/
+}
+
+/***************************************
+ * Purpose: Print the pairwise alignment
+ ***************************************/
+
+void SGA::printAlign()
+{
+ cout << align_s << endl;
+ cout << align_t << endl << endl;
+}
+
+/*******************************
+ * Purpose: Print Info for debug
+ *******************************/
+void SGA::printInfo()
+{
+ cout << "m = " << m << " n = " << n << " g = " << g
+ << " bestRow = " << bestRow << " bestCol = " << bestCol << " bestscore = " << bestScore
+ << endl;
+ cout << "s = " << align_s << " t = " << align_t << endl;
+
+// printMatrix();
+}
+
+/************************************ End of File **************************************/
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.h b/ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.h
new file mode 100644
index 0000000..1cf336d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/dnafa/sga.h
@@ -0,0 +1,52 @@
+/***************************************************************
+ * File: sga.h
+ * Author: Lishan Li
+ * Date: May, 2003
+ *
+ * Description: This SGA class is used to do pairwise alignment
+ * between two fragments
+ ***************************************************************/
+
+#ifndef SGA_H
+#define SGA_H
+
+#include <iostream>
+#include <string>
+using namespace std;
+
+class SGA
+{
+public:
+ string align_s; // to store sequence s after alignment
+ string align_t; // to store sequence t after alignment
+
+ SGA() {} // default constructor
+ SGA(const string &is, const string &it); // user defined constructor
+ ~SGA(); // destructor
+ void buildMatrix();
+ int p(int i, int j);
+ void align();
+ void findBestScore();
+ void printMatrix();
+ void printAlign();
+ void printInfo();
+ int getBestRow() { return bestRow; }
+ int getBestCol() { return bestCol; }
+ int getBestScore() { return bestScore; }
+private:
+ int max(int x, int y, int z);
+ void CalculateBest(int i, int j, int score);
+ string s, t;
+ int g; // gap
+ int m; // length of s
+ int n; // length of t
+ int bestRow; // the row containning best score
+ int bestCol; // the column containing best score
+ int bestScore; // the best score of the semiglobal alignment
+// int ** score; // to store the scores for pairwise alignment
+ int overlapType;
+};
+
+#endif
+
+/************************************ End of File **************************************/
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/Config.cfg b/ProyectoFinal/CHC/malva/rep/SA/maxsat/Config.cfg
new file mode 100644
index 0000000..2d6daf7
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/MAXSAT-instances/sat1.txt
+res/sat1.sa.lan.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/MainLan.cc b/ProyectoFinal/CHC/malva/rep/SA/maxsat/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/SA/maxsat/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/Makefile b/ProyectoFinal/CHC/malva/rep/SA/maxsat/Makefile
new file mode 100644
index 0000000..0ffc8d9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/MAXSAT-instances/sat1.txt res/sat1.sa.seq.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.cfg b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.cfg
new file mode 100644
index 0000000..0aef72f
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+500 // number of evaluations
+10 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+10 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.hh b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.hh
new file mode 100644
index 0000000..26c7864
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.hh
@@ -0,0 +1,493 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem();
+ ~Problem();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+ double infinity() const;
+
+ int numvar() const;
+ int numclause() const;
+ int lenclause() const;
+ int *clause(const int i) const;
+
+
+ private:
+
+ int _numvar;
+ int _numclause;
+ int _lenclause;
+ int ** _clauses;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_cadena_);
+
+ void initialize();
+ double fitness ();
+ unsigned int size() const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.pro.cc b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.req.cc b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.req.cc
new file mode 100644
index 0000000..f3554e7
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/SA.req.cc
@@ -0,0 +1,364 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_numvar(0),_numclause(0),_clauses(NULL),_lenclause(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of variables " << pbm._numvar
+ << endl << endl << "Number of clauses " << pbm._numclause
+ << endl << endl << "Length of clauses " << pbm._lenclause
+ << endl << endl
+ << " Clauses: " << endl;
+
+ for (int i=0;i<pbm._numclause;i++)
+ {
+ os << "\t clause " << i << "\t ";
+ for(int j = 0; j < pbm._lenclause; j++)
+ os << pbm._clauses[i][j] << " ";
+ os << endl;
+ }
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ int l;
+ int n;
+ is >> pbm._numvar >> pbm._numclause >> pbm._lenclause;
+
+ n = pbm._lenclause;
+ // read clauses
+ pbm._clauses = new int*[pbm._numclause];
+
+ for (int i = 0; i < pbm._numclause; i++)
+ {
+ pbm._clauses[i] = new int[n];
+ for(int j = 0; j < n;j++)
+ {
+ is >> l;
+ pbm._clauses[i][j] = l;
+ }
+ is >> l;
+ }
+
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ int n;
+ _numvar=pbm.numvar();
+ for(int i = 0; i < _numclause;i++)
+ delete [] _clauses[i];
+ delete [] _clauses;
+
+ _numclause = pbm.numclause();
+ n = _lenclause = pbm.lenclause();
+
+ _clauses = new int *[_numclause];
+
+ for(int i = 0; i < pbm._numclause;i++)
+ {
+ _clauses[i] = new int [n];
+ for(int j = 0; j < n ; j++)
+ _clauses[i][j] = pbm._clauses[i][j];
+ }
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_numvar!=pbm.numvar()) return false;
+ for (int i = 0; i < _numclause; i++)
+ for(int j = 0; j < _lenclause;j++)
+ if ( _clauses[i][j] != pbm._clauses[i][j])
+ return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ double Problem::infinity() const
+ {
+ double one=1.0;
+ double zero=0.0;
+ return 0.0 - one/zero;
+ }
+
+ int Problem::numvar() const
+ {
+ return _numvar;
+ }
+
+ int Problem::numclause() const
+ {
+ return _numclause;
+ }
+
+ int Problem::lenclause() const
+ {
+ return _lenclause;
+ }
+
+ int *Problem::clause(const int i) const
+ {
+ return _clauses[i];
+ }
+
+ Problem::~Problem()
+ {
+ for(int i = 0;i < _numclause;i++)
+ delete [] _clauses[i];
+
+ delete [] _clauses;
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.numvar())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numvar();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().numvar();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var = sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.numvar();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+ double Solution::fitness ()
+ {
+ double fitness = 0.0;
+ int acum = 0;
+
+ for(int i = 0; i < _pbm.numclause(); i++)
+ {
+ int *rl = _pbm.clause(i);
+ acum = 0;
+ for(int j = 0; (j < _pbm.lenclause()) && (acum != 1);j++)
+ {
+ if( ((rl[j] < 0) && (_var[(int)abs(rl[j])-1] == 0))
+ || ((rl[j] > 0) && (_var[rl[j]-1] == 1)) )
+ acum = 1;
+ }
+ fitness += acum;
+ }
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.numvar();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.numvar() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ const float probability = 0.03;
+
+ for (int i=0;i<sol.pbm().numvar();i++)
+ {
+ if (rand01()<=probability)
+ {
+ if (sol.var(i)==1) sol.var(i)=0;
+ else sol.var(i)=1;
+ }
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/StopCondition.cc b/ProyectoFinal/CHC/malva/rep/SA/maxsat/StopCondition.cc
new file mode 100644
index 0000000..dcd0513
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.current_best_cost() == pbm.numclause());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/StopCondition.hh b/ProyectoFinal/CHC/malva/rep/SA/maxsat/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/maxsat/pgfileLan b/ProyectoFinal/CHC/malva/rep/SA/maxsat/pgfileLan
new file mode 100644
index 0000000..a681b21
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/maxsat/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
+localhost 1 ~/Mallba/rep/SA/maxsat/MainLan
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/Config.cfg b/ProyectoFinal/CHC/malva/rep/SA/onemax/Config.cfg
new file mode 100644
index 0000000..87d424d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/ONEMAX-instances/onemax10.txt
+res/om10.sa.lan.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/MainLan.cc b/ProyectoFinal/CHC/malva/rep/SA/onemax/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/SA/onemax/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/Makefile b/ProyectoFinal/CHC/malva/rep/SA/onemax/Makefile
new file mode 100644
index 0000000..82415bb
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/ONEMAX-instances/onemax10.txt res/om10.sa.seq.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.cfg b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.cfg
new file mode 100644
index 0000000..b6c9399
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+500 // number of evaluations
+5 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+10 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.hh b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.hh
new file mode 100644
index 0000000..6238f6d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.hh
@@ -0,0 +1,488 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int dimension() const;
+ double infinity() const;
+
+ private:
+
+ int _dimension;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.pro.cc b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.req.cc b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.req.cc
new file mode 100644
index 0000000..a327cb3
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/SA.req.cc
@@ -0,0 +1,286 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm._dimension);
+
+ return is;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+
+ double Problem::infinity() const
+ {
+ double one=1.0;
+ double zero=0.0;
+ return 0.0 - one/zero;
+ }
+
+ Problem::~Problem()
+ {
+ }
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.dimension();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+ double Solution::fitness () const
+ {
+ double fitness = 0.0;
+
+ for (int i=0;i<_var.size();i++)
+ fitness += _var[i];
+
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ const float probability = 0.03;
+
+ for (int i=0;i<sol.pbm().dimension();i++)
+ {
+ if (rand01()<=probability)
+ {
+ if (sol.var(i)==1) sol.var(i)=0;
+ else sol.var(i)=1;
+ }
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/StopCondition.cc b/ProyectoFinal/CHC/malva/rep/SA/onemax/StopCondition.cc
new file mode 100644
index 0000000..f9cfd89
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.current_best_cost() == pbm.dimension());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/StopCondition.hh b/ProyectoFinal/CHC/malva/rep/SA/onemax/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/onemax/pgfileLan b/ProyectoFinal/CHC/malva/rep/SA/onemax/pgfileLan
new file mode 100644
index 0000000..fa76afb
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/onemax/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
+localhost 1 ~/Mallba/rep/SA/onemax/MainLan
diff --git a/ProyectoFinal/CHC/malva/rep/SA/pgfileLan b/ProyectoFinal/CHC/malva/rep/SA/pgfileLan
new file mode 100644
index 0000000..2c73753
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/pgfileLan
@@ -0,0 +1 @@
+machine_name number_of_process executable_path login
diff --git a/ProyectoFinal/CHC/malva/rep/SA/pgfileWan b/ProyectoFinal/CHC/malva/rep/SA/pgfileWan
new file mode 100644
index 0000000..2c73753
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/pgfileWan
@@ -0,0 +1 @@
+machine_name number_of_process executable_path login
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/Config.cfg b/ProyectoFinal/CHC/malva/rep/SA/rnd/Config.cfg
new file mode 100644
index 0000000..c8bac1a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/RND-instances/rnd149.txt
+res/rnd149.sa.lan.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/MainLan.cc b/ProyectoFinal/CHC/malva/rep/SA/rnd/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/SA/rnd/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/Makefile b/ProyectoFinal/CHC/malva/rep/SA/rnd/Makefile
new file mode 100644
index 0000000..b15a6cd
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/RND-instances/rnd149.txt res/rnd149.sa.seq.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.cfg b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.cfg
new file mode 100644
index 0000000..1dbac85
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+5000 // number of evaluations
+50 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+10 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.hh b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.hh
new file mode 100644
index 0000000..6238f6d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.hh
@@ -0,0 +1,488 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int dimension() const;
+ double infinity() const;
+
+ private:
+
+ int _dimension;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ int& var(const int index);
+ Rarray<int>& array_var();
+
+ private:
+ Rarray<int> _var;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.pro.cc b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.req.cc b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.req.cc
new file mode 100644
index 0000000..1702a43
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/SA.req.cc
@@ -0,0 +1,385 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** Tab size = 4 ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+//Parámetros para RND -------------------------------------------------------------
+
+#define GRID_SIZE_X 287 //Artificial grid horizontal size.
+#define GRID_SIZE_Y 287 //Artificial grid vertical size.
+#define GRID_SIZE 82369 //Total grid size.
+#define TRANS_NUMB 59 //Number of transmiters used.
+#define TRANS_TOTAL 349 //Number of total transmiters.
+ //49 transmiters distributed regulary...
+ //... the rest is distributed randomly.
+
+#define RANGE 20 //Transmiter cover range (square area)
+
+//-------------------------------------------------------------------------------------------------------
+#define TARGET_FITNESS 204.08 //Fitness to be achieved in current trial
+//-------------------------------------------------------------------------------------------------------
+
+
+#define MAX_FIT 204.08 //Fitness for optimum solution.
+#define AVG_B -4.878 //Coef. for linear penalty of fitness value ...
+#define AVG_A 4.878 // ... depending on avg. and dev. overlapping.
+#define DEV_B 0.0
+#define DEV_A 2.404
+
+//---------------------------------------------------------------------------------
+
+skeleton SA {
+
+
+
+
+ //Array ------------------------------------------------------------------
+
+ static short int trans_location[TRANS_TOTAL*2]=
+ {20,20, 61,20, 102,20, 143,20, 184,20, 225,20, 266,20,
+ 20,61, 61,61, 102,61, 143,61, 184,61, 225,61, 266,61,
+ 20,102, 61,102, 102,102, 143,102, 184,102, 225,102, 266,102,
+ 20,143, 61,143, 102,143, 143,143, 184,143, 225,143, 266,143,
+ 20,184, 61,184, 102,184, 143,184, 184,184, 225,184, 266,184,
+ 20,225, 61,225, 102,225, 143,225, 184,225, 225,225, 266,225,
+ 20,266, 61,266, 102,266, 143,266, 184,266, 225,266, 266,266,
+
+ 169,180, 180,161, 160,233, 57,156, 158,145, 138,151, 160,32,
+ 165,36, 228,111, 251,181, 110,130, 286,19, 96,183, 91,133,
+ 88,74, 93,56, 35,273, 152,198, 142,181, 37,117, 271,193,
+ 49,109, 104,119, 110,54, 58,160, 135,204, 220,172, 4,141,
+ 160,244, 210,14, 36,37, 98,3, 134,226, 197,109, 101,17,
+ 112,230, 169,126, 215,44, 206,27, 18,90, 14,272, 40,134,
+ 160,150, 58,216, 170,37, 252,185, 246,142, 154,247, 180,128,
+ 188,55, 207,201, 134,15, 31,111, 166,34, 206,116, 223,261,
+ 94,48, 227,179, 24,250, 46,26, 159,245, 279,56, 235,43,
+ 195,166, 165,241, 203,9, 190,73, 20,91, 25,200, 211,255,
+ 260,199, 262,66, 283,120, 16,76, 38,112, 201,172, 144,1,
+ 273,282, 230,285, 222,240, 70,132, 240,40, 202,147, 35,175,
+ 24,41, 4,120, 88,114, 23,104, 274,142, 83,230, 281,265,
+ 248,58, 140,42, 136,185, 17,2, 9,42, 156,115, 216,32,
+ 242,104, 221,224,
+241,113,224,229,261,56,96,220,79,158,137,180,104,147,273,262,182,205,40,174,
+4,69,39,230,44,115,37,31,286,62,147,240,175,84,182,150,141,279,83,221,
+151,220,114,255,81,101,231,263,20,272,150,24,55,190,255,100,18,5,131,18,
+68,278,258,244,76,154,107,218,147,191,152,11,125,267,267,206,81,211,183,101,
+197,47,126,252,237,94,65,256,100,197,274,168,188,246,126,265,114,233,196,261,
+138,61,272,264,42,252,183,123,177,80,225,88,128,64,53,79,159,119,48,260,
+29,36,142,218,282,268,196,109,215,105,84,66,167,70,43,210,36,227,47,213,
+21,272,15,149,50,68,228,210,188,277,183,218,26,38,149,22,20,58,132,235,
+164,216,14,45,286,58,255,36,286,15,249,20,1,264,170,51,46,112,262,235,
+103,158,166,129,197,28,152,217,87,284,165,251,214,180,10,214,239,265,250,238,
+281,213,259,282,191,142,47,238,255,22,186,71,180,65,201,90,94,66,21,181,
+64,186,146,278,80,156,206,32,135,170,271,129,96,243,124,0,98,171,239,67,
+193,138,138,87,204,52,178,11,118,199,193,183,99,52,174,179,209,94,212,58,
+264,196,187,73,152,25,74,251,196,26,31,103,165,170,191,82,222,82,94,54,
+282,1,237,95,54,125,275,263,219,200,34,196,110,222,270,262,247,58,227,157,
+85,259,261,250,142,165,46,78,248,141,133,243,142,83,51,196,208,39,173,141,
+240,207,51,63,143,34,39,103,93,267,260,178,240,234,142,96,113,189,174,74,
+43,20,30,185,104,82,95,26,122,268,167,76,189,218,139,45,253,179,148,59,
+160,122,238,113,70,93,209,183,282,97,257,39,117,1,224,222,84,32,248,206,
+14,128,283,203,60,136,248,26,28,109,86,188,232,37,14,15,131,224,198,127};
+ //Transmiters location array
+
+ static short int grid[GRID_SIZE];
+
+ // Problem ---------------------------------------------------------------
+
+ Problem::Problem ():_dimension(0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << "Number of Variables " << pbm._dimension
+ << endl;
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int i;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer,"%d",&pbm._dimension);
+
+ return is;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if (_dimension!=pbm.dimension()) return false;
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ return maximize;
+ //return minimize;
+ }
+
+ int Problem::dimension() const
+ {
+ return _dimension;
+ }
+
+ Problem::~Problem()
+ {}
+
+ // Solution --------------------------------------------------------------
+
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_var(pbm.dimension())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ is >> sol._var[i];
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().dimension();i++)
+ os << " " << sol._var[i];
+ return os;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns << sol._var[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol._var.size();i++)
+ ns >> sol._var[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _var=sol._var;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ for (int i=0;i<_pbm.dimension();i++)
+ _var[i]=rand_int(0,1);
+ }
+
+ double Solution::fitness () const
+ {
+ register int x,y,x1,y1,k;
+ double covered_points=0.0, cover_rate=0.0, fitness=0.0,alfa=2.0;
+ int used_trans;
+
+ for (k=0;k<GRID_SIZE;k++) // Initializing the grid
+ grid[k]=0;
+
+
+ used_trans=0; // Updating covered points in the grid according ...
+ for (k=0;k<_var.size();k++) // with transmiter locations and calculating ...
+ { // covered points.
+ if (_var[k]!=0.0)
+ {
+ used_trans++;
+ x=trans_location[k*2];
+ y=trans_location[k*2+1];
+ for (x1=x-RANGE;x1<=x+RANGE;x1++)
+ for (y1=y-RANGE;y1<=y+RANGE;y1++)
+ if ((x1>=0)&(y1>=0)&(x1<GRID_SIZE_X)&(y1<GRID_SIZE_Y))
+ {
+ grid[x1*GRID_SIZE_X+y1]++;
+ if (grid[x1*GRID_SIZE_X+y1]==1) covered_points++;
+ }
+ }
+ }
+
+ cover_rate =(double) (100.0 * covered_points) / (GRID_SIZE);
+ fitness = (cover_rate * cover_rate )/used_trans;
+
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_var.get_first();
+ }
+
+ void Solution::to_Solution(char *_string_)
+ {
+ int *ptr=(int *)_string_;
+ for (int i=0;i<_pbm.dimension();i++)
+ {
+ _var[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return (_pbm.dimension() * sizeof(int));
+ }
+
+
+ int& Solution::var(const int index)
+ {
+ return _var[index];
+ }
+
+
+ Rarray<int>& Solution::array_var()
+ {
+ return _var;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ const float probability = 0.03;
+
+ for (int i=0;i<sol.pbm().dimension();i++)
+ {
+ if (rand01()<=probability)
+ {
+ if (sol.var(i)==1) sol.var(i)=0;
+ else sol.var(i)=1;
+ }
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/StopCondition.cc b/ProyectoFinal/CHC/malva/rep/SA/rnd/StopCondition.cc
new file mode 100644
index 0000000..f9cfd89
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((int)solver.current_best_cost() == pbm.dimension());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/StopCondition.hh b/ProyectoFinal/CHC/malva/rep/SA/rnd/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/rnd/pgfileLan b/ProyectoFinal/CHC/malva/rep/SA/rnd/pgfileLan
new file mode 100644
index 0000000..d85e66e
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/rnd/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
+localhost 1 ~/Mallba/rep/SA/rnd/MainLan
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/Config.cfg b/ProyectoFinal/CHC/malva/rep/SA/vrp/Config.cfg
new file mode 100644
index 0000000..510e26d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/Config.cfg
@@ -0,0 +1,3 @@
+SA.cfg
+../../../ProblemInstances/VRP-instances/vrpnc1.txt
+res/vrp1.sa.lan.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/MainLan.cc b/ProyectoFinal/CHC/malva/rep/SA/vrp/MainLan.cc
new file mode 100644
index 0000000..8949422
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/MainLan.cc
@@ -0,0 +1,53 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+ char path[MAX_BUFFER];
+ int len;
+ int longitud;
+
+ system("clear");
+
+ get_path(argv[0],path);
+ len = strlen(path);
+ longitud = MAX_BUFFER - len;
+
+ strcat(path,"Config.cfg");
+ ifstream f(path);
+ if(!f) show_message(10);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f1(path);
+ if(!f1) show_message(11);
+
+ f.getline(&(path[len]),longitud,'\n');
+ ifstream f2(path);
+ if(!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+
+ Solver_Lan solver(pbm,cfg,argc,argv);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << "Solucion: " << solver.global_best_solution() << " Fitness: " << solver.global_best_solution().fitness();
+
+ f.getline(&(path[len]),longitud,'\n');
+ ofstream fexit(path);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ cout << endl << endl << " :( ---------------------- THE END --------------- :) " << endl;
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/MainSeq.cc b/ProyectoFinal/CHC/malva/rep/SA/vrp/MainSeq.cc
new file mode 100644
index 0000000..41d8a72
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/MainSeq.cc
@@ -0,0 +1,42 @@
+#include "SA.hh"
+#include <iostream.h>
+#include <fstream.h>
+
+int main (int argc, char** argv)
+{
+ using skeleton SA;
+
+ system("clear");
+
+ if(argc < 4)
+ show_message(1);
+
+ ifstream f1(argv[1]);
+ if (!f1) show_message(11);
+
+ ifstream f2(argv[2]);
+ if (!f2) show_message(12);
+
+ Problem pbm;
+ f2 >> pbm;
+
+ SetUpParams cfg;
+ f1 >> cfg;
+
+ Solver_Seq solver(pbm,cfg);
+ solver.run();
+
+ if (solver.pid()==0)
+ {
+ solver.show_state();
+ cout << solver.global_best_solution()
+ << " Fitness: " << solver.global_best_solution().fitness() << endl;
+ cout << "\n\n :( ---------------------- THE END --------------- :) ";
+
+ ofstream fexit(argv[3]);
+ if(!fexit) show_message(13);
+ fexit << solver.userstatistics();
+
+ }
+ return(0);
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/Makefile b/ProyectoFinal/CHC/malva/rep/SA/vrp/Makefile
new file mode 100644
index 0000000..cb3ba14
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/Makefile
@@ -0,0 +1,22 @@
+include ../../../environment
+
+all: MainSeq MainLan
+
+clean:
+ rm -f MainLan MainSeq MainWan *.o *% *~
+
+MainLan: SA.req.o SA.pro.o StopCondition.o MainLan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainWan: SA.req.o SA.pro.o StopCondition.o MainWan.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+MainSeq: SA.req.o SA.pro.o StopCondition.o MainSeq.o
+ $(CXX) $(LDFLAGS) $^ $(LOADLIBES) $(CPPFLAGS) -o $@
+
+LAN:
+ $(RUN) -v -p4pg pgfileLan MainLan
+WAN:
+ $(RUN) -v -p4pg pgfileWan MainWan
+SEQ:
+ ./MainSeq SA.cfg ../../../ProblemInstances/VRP-instances/vrpnc1.txt res/vrp1.sa.seq.txt
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.cfg b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.cfg
new file mode 100644
index 0000000..eed6739
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.cfg
@@ -0,0 +1,9 @@
+10 // number of independent runs
+1000 // number of evaluations
+10 // Markov-Chain Length
+.99 // temperature Decay
+1 // display state ?
+LAN-configuration
+1001 // the global state is updated in this number of evaluations
+0 // 0: asynchronized mode // 1: synchronized mode
+10 // interval of iterations to cooperate ( if 0 no cooperation)
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.hh b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.hh
new file mode 100644
index 0000000..845bb53
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.hh
@@ -0,0 +1,499 @@
+#ifndef INC_SA
+#define INC_SA
+
+#include "Mallba/mallba.hh"
+#include "Mallba/States.hh"
+#include "Mallba/Rarray.h"
+#include "Mallba/time.hh"
+#include "Mallba/netstream.hh"
+#include <math.h>
+#include <string.h>
+
+skeleton SA
+{
+
+ provides class SetUpParams;
+ provides class Statistics;
+ provides class Move;
+ provides class StopCondition;
+ provides class Solver;
+ provides class Solver_Seq;
+ provides class Solver_Lan;
+ provides class Solver_Wan;
+
+ requires class Problem;
+ requires class Solution;
+ requires class StopCondition_1;
+ requires class StopCondition_2;
+ requires class StopCondition_3;
+ requires class DefaultMove;
+ requires class UserStatistics;
+ requires bool TerminateQ (const Problem& pbm, const Solver& solver, const SetUpParams& setup);
+
+// Problem ----------------------------------------------------------------------------
+
+ requires class Problem
+ {
+ public:
+ Problem ();
+ ~Problem ();
+
+ friend ostream& operator<< (ostream& os, const Problem& pbm);
+ friend istream& operator>> (istream& is, Problem& pbm);
+
+ Problem& operator= (const Problem& pbm);
+ bool operator== (const Problem& pbm) const;
+ bool operator!= (const Problem& pbm) const;
+
+ Direction direction () const;
+
+ int nCustomers() const;
+ int capacity() const;
+ double maxRouteTime() const;
+ double bestCost() const;
+ double distance(const int i, const int j) const;
+ int demand(const int i) const;
+ int service_time() const;
+
+ private:
+ void genDistances(int *x,int *y);
+
+ int _nCustomers;
+ int _capacity;
+ double **_distance;
+ int _service_time;
+ double _maxRouteTime;
+ double _bestCost;
+ int *_demand;
+ };
+
+//Solution ----------------------------------------------------------------------------
+
+ requires class Solution
+ {
+ public:
+ Solution (const Problem& pbm);
+ Solution (const Solution& sol);
+ ~Solution();
+
+ friend ostream& operator<< (ostream& os, const Solution& sol);
+ friend istream& operator>> (istream& is, Solution& sol);
+ friend NetStream& operator << (NetStream& ns, const Solution& sol);
+ friend NetStream& operator >> (NetStream& ns, Solution& sol);
+
+ const Problem& pbm() const;
+
+ Solution& operator= (const Solution& sol);
+ bool operator== (const Solution& sol) const;
+ bool operator!= (const Solution& sol) const;
+
+ char *to_String() const;
+ void to_Solution(char *_vertex_);
+ unsigned int size() const;
+
+ void initialize();
+ double fitness () const;
+
+ int & pos(const int index);
+ Rarray<int> & routes();
+ void print();
+
+ private:
+ Rarray<int> _routes;
+ const Problem& _pbm;
+ };
+
+// UserStatistics ----------------------------------------------------------------------------
+
+ requires class UserStatistics
+ {
+ private:
+ struct user_stat
+ {
+ unsigned int trial;
+ double initial_temperature;
+ double temperature_best_found_trial;
+ unsigned long nb_evaluation_best_found_trial;
+ double best_cost_trial;
+ float time_best_found_trial;
+ float time_spent_trial;
+ };
+
+ Rlist<struct user_stat> result_trials;
+
+ public:
+ UserStatistics ();
+ ~UserStatistics();
+
+ friend ostream& operator<< (ostream& os, const UserStatistics& usertats);
+
+ UserStatistics& operator= (const UserStatistics& userstats);
+ void update(const Solver& solver);
+ void clear();
+ };
+
+// Move ----------------------------------------------------------------------------------
+
+ provides class Move
+ {
+ public:
+ Move() {}
+ virtual ~Move() {}
+
+ virtual void Apply(Solution& sol) const = 0;
+ };
+
+// DefaultMove ----------------------------------------------------------------------------------
+
+ requires class DefaultMove: public Move
+ {
+ public:
+ DefaultMove();
+ ~DefaultMove();
+
+ void Apply(Solution& sol) const;
+ };
+
+// SetUpParams -------------------------------------------------------------------------------
+
+ provides class SetUpParams
+ {
+ private:
+ unsigned int _independent_runs;
+ unsigned long _max_evaluations;
+ unsigned int _MarkovChain_length;
+ double _temperature_decay;
+ bool _display_state;
+
+ // for LAN execution configuration
+ unsigned long _refresh_global_state;
+ bool _synchronized;
+ unsigned int _cooperation;
+
+ public:
+ SetUpParams ();
+
+ friend ostream& operator<< (ostream& os, const SetUpParams& setup);
+ friend istream& operator>> (istream& is, SetUpParams& setup);
+
+ const unsigned int independent_runs() const;
+ const unsigned long max_evaluations() const;
+ const unsigned int MarkovChain_length() const;
+ const double temperature_decay() const;
+ const bool display_state() const;
+ const unsigned long refresh_global_state() const;
+ const bool synchronized() const;
+ const unsigned int cooperation() const;
+
+ void independent_runs(const unsigned int val);
+ void max_evaluations(const unsigned long val);
+ void MarkovChain_length(const unsigned int val);
+ void temperature_decay(const double val);
+ void display_state(const bool val);
+ void refresh_global_state(const unsigned long val);
+ void synchronized(const bool val);
+ void cooperation(const unsigned int val);
+
+ ~SetUpParams();
+ };
+
+// Statistics ---------------------------------------------------------------------------------
+
+ provides class Statistics
+ {
+ private:
+ struct stat
+ {
+ unsigned int trial;
+ unsigned long nb_evaluations;
+ double best_cost;
+ double current_cost;
+ };
+
+ Rlist<struct stat> stats_data;
+
+ public:
+ Statistics();
+
+ friend ostream& operator<< (ostream& os, const Statistics& stats);
+
+ Statistics& operator= (const Statistics& stats);
+ void update(const Solver& solver);
+ void clear();
+
+ ~Statistics();
+ };
+
+// Solver ---------------------------------------------------------------------------------
+
+ provides class Solver
+ {
+ protected:
+ const Problem& problem;
+ const SetUpParams& params;
+ UserStatistics _userstat;
+ Statistics _stat;
+ Move* move;
+ Solution current;
+ double curfit;
+ Solution tentative;
+ double currentTemperature;
+ unsigned int k; // to control temperature update.
+ StateCenter _sc;
+
+ float total_time_spent;
+ float time_spent_in_trial;
+ float start_trial;
+ float start_global;
+
+ bool _end_trial;
+
+ State_Vble _current_trial;
+ State_Vble _current_iteration;
+ State_Vble _current_best_solution;
+ State_Vble _current_best_cost;
+ State_Vble _current_solution;
+ State_Vble _current_cost;
+
+ State_Vble _current_time_spent;
+ State_Vble _initial_temperature_trial;
+ State_Vble _time_best_found_trial;
+ State_Vble _iteration_best_found_trial;
+ State_Vble _temperature_best_found_trial;
+ State_Vble _time_spent_trial;
+
+ State_Vble _trial_best_found;
+ State_Vble _iteration_best_found;
+ State_Vble _global_best_solution;
+ State_Vble _global_best_cost;
+ State_Vble _time_best_found;
+
+ State_Vble _temperature;
+ State_Vble _display_state;
+
+ const Direction _direction;
+
+ bool AcceptQ(double tent, double cur, double temperature);
+ double Set_Initial_Temperature(const Problem& pbm);
+ void KeepHistory(const Solution& sol, const double curfit,const float time_spent_trial,const float total_time_spent);
+
+ double UpdateT(double temp, int K);
+
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver (const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver ();
+ virtual int pid() const;
+ bool end_trial() const;
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ virtual void run () =0;
+ virtual void run (unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol, unsigned long int nb_evaluations) =0;
+
+ virtual void run (const double initialTemperature) =0;
+ virtual void run (const Solution& sol,const double initialTemperature) =0;
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations) =0;
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations) =0;
+
+ // Partial execution
+ virtual void StartUp () =0;
+ virtual void StartUp (const Solution& sol) =0;
+ virtual void StartUp (const double initialTemperature) =0;
+ virtual void StartUp (const Solution& sol, const double initialTemperature) =0;
+ virtual void DoStep () =0;
+
+ // Statistics handling ------------------------------
+
+ const Statistics& statistics() const;
+ const UserStatistics& userstatistics () const;
+ const SetUpParams& setup() const;
+ const Problem& pbm() const;
+
+ // State handling -----------------------------------
+
+ void RefreshState();
+ void UpdateFromState();
+ StateCenter* GetState();
+
+ unsigned int current_trial() const;
+ unsigned long current_iteration() const;
+ Solution current_best_solution() const;
+ Solution current_solution() const;
+ double current_best_cost() const;
+ double current_cost() const;
+ float current_time_spent() const;
+ float time_best_found_trial() const;
+ double initial_temperature_trial() const;
+ unsigned int iteration_best_found_trial() const;
+ double temperature_best_found_trial() const;
+ float time_spent_trial() const;
+ unsigned int trial_best_found() const;
+ unsigned int iteration_best_found() const;
+ Solution global_best_solution() const;
+ double global_best_cost() const;
+ float time_best_found() const;
+ double temperature() const;
+ int display_state() const;
+
+ void current_trial(const unsigned int value);
+ void current_iteration(const unsigned long value);
+ void current_best_solution(const Solution& sol);
+ void current_best_cost(const double value);
+ void current_solution(const Solution& sol);
+ void current_cost(const double value);
+ void current_time_spent(const float value);
+ void time_best_found_trial(const float value);
+ void initial_temperature_trial(const double temperature);
+ void iteration_best_found_trial(const unsigned int value);
+ void temperature_best_found_trial(const double value);
+ void time_spent_trial(const float value);
+ void trial_best_found(const unsigned int value);
+ void iteration_best_found(const unsigned int value);
+ void global_best_solution(const Solution& sol);
+ void global_best_cost(const double value);
+ void time_best_found(const float value);
+ void temperature(const double value);
+ void display_state(const int value);
+ void show_state() const;
+
+ // State handling -----------------------------------
+ void SetMove(Move* mov);
+ };
+
+ provides class Solver_Seq: public Solver
+ {
+ public:
+ // Constructor - Destructor -------------------------
+
+ Solver_Seq ( const Problem& pbm, const SetUpParams& setup);
+ virtual ~Solver_Seq ();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+ };
+
+ provides class Solver_Lan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Lan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+ provides class Solver_Wan: public Solver
+ {
+ private:
+ NetStream _netstream;
+ int mypid;
+
+ void send_local_state_to(int _mypid);
+ int receive_local_state_from(int source_pid);
+
+ void check_for_refresh_global_state();
+
+ unsigned int _current_trial;
+ unsigned int _current_iteration;
+ double _best_cost_trial;
+ Solution _best_solution_trial;
+ float _time_best_found_in_trial;
+ unsigned int _iteration_best_found_in_trial;
+ double _temperature_best_found_in_trial;
+
+ int cooperation();
+ // Termination phase //
+ bool final_phase;
+ int acum_evaluations;
+ public:
+ Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv);
+ virtual ~Solver_Wan ();
+ virtual int pid() const;
+ NetStream& netstream();
+
+ // Execution methods --------------------------------
+
+ // Full execution
+ void run ();
+ virtual void run (unsigned long int max_evaluations);
+ virtual void run (const Solution& sol, unsigned long int max_evaluations);
+
+ virtual void run (const double initialTemperature);
+ virtual void run (const Solution& sol,const double initialTemperature);
+ virtual void run (const double initialTemperature, unsigned long int nb_evaluations);
+ virtual void run (const Solution& sol,const double initialTemperature, unsigned long int nb_evaluations);
+
+ // Partial execution
+ virtual void StartUp ();
+ virtual void StartUp (const Solution& sol);
+ virtual void StartUp (const double initialTemperature);
+ virtual void StartUp (const Solution& sol, const double initialTemperature);
+ virtual void DoStep ();
+
+ void reset();
+ };
+
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.pro.cc b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.pro.cc
new file mode 100644
index 0000000..43dcaf9
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.pro.cc
@@ -0,0 +1,1807 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** Provided classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include <math.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "Mallba/time.hh"
+
+skeleton SA
+{
+
+// SetUpParams -----------------------------------------------------------
+
+ SetUpParams::SetUpParams ():
+ _independent_runs(0),
+ _max_evaluations(0),
+ _MarkovChain_length(0),
+ _temperature_decay(0),
+ _refresh_global_state(0),
+ _synchronized(0),
+ _display_state(0),
+ _cooperation(0)
+ {}
+
+ istream& operator>> (istream& is, SetUpParams& setup)
+ {
+ char buffer[MAX_BUFFER]; // current line in the setup file
+ char command[50];
+ int op;
+ double dop;
+ short int nb_param=0;
+ short int nb_section=0;
+ short int nb_LAN_param=0;
+
+ while (is.getline(buffer,MAX_BUFFER,'\n'))
+ {
+ sscanf(buffer," %s ",command);
+
+ if (!(strcmp(command,"General"))) nb_section=0;
+ if (!(strcmp(command,"LAN-configuration"))) nb_section=1;
+
+ if (nb_param==3 && nb_section==0)
+ {
+ dop=-1;
+ sscanf(buffer," %lf ",&dop);
+ if (dop<0) continue;
+ }
+ else
+ {
+ op=-1;
+ sscanf(buffer," %ld%*s ",&op);
+ if (op<0) continue;
+ }
+
+ switch (nb_section)
+ {
+ case 0: switch (nb_param)
+ {
+ case 0: setup.independent_runs(op); break;
+ case 1: setup.max_evaluations(op); break;
+ case 2: setup.MarkovChain_length(op); break;
+ case 3: setup.temperature_decay(dop); break;
+ case 4: setup.display_state(op); break;
+ }
+ nb_param++;
+ break;
+ case 1: if (nb_LAN_param>=3) break;
+ if (nb_LAN_param==0) setup.refresh_global_state(op);
+ if (nb_LAN_param==1) setup.synchronized(op);
+ if (nb_LAN_param==2) setup.cooperation(op);
+ nb_LAN_param++;
+ break;
+ } // end switch
+ } // end while
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const SetUpParams& setup)
+ {
+ os << "CONFIGURATION -------------------------------------------" << endl << endl;
+ os << "\t" << "Independent runs : " << setup.independent_runs() << endl
+ << "\t" << "Evaluation steps: " << setup.max_evaluations() << endl
+ << "\t" << "Markov-Chain Length: " << setup.MarkovChain_length() << endl
+ << "\t" << "Temperature Decay: " << setup.temperature_decay() << endl;
+
+ if (setup.display_state())
+ os << "\t" << "Display state" << endl;
+ else
+ os << "\t" << "Not display state" << endl;
+ os << endl << "\t" << "LAN configuration:" << endl
+ << "\t" << "----------------------" << endl << endl
+ << "\t" << "Refresh global state in number of generations: " << setup.refresh_global_state() << endl;
+
+ if (setup.synchronized())
+ os << "\t" << "Running in synchronous mode" << endl;
+ else
+ os << "\t" << "Running in asynchronous mode" << endl;
+
+ if (!setup.cooperation())
+ os << "\t" << "Running without cooperation" << endl << endl;
+ else
+ os << "\t" << "Running with cooperation in " << setup.cooperation() << " iterations. " << endl << endl;
+
+ os << endl << endl << "END CONFIGURATION -------------------------------------------" << endl << endl;
+ return os;
+ }
+
+ const unsigned int SetUpParams::independent_runs() const
+ {
+ return _independent_runs;
+ }
+
+ const unsigned long SetUpParams::max_evaluations() const
+ {
+ return _max_evaluations;
+ }
+
+ const unsigned int SetUpParams::MarkovChain_length() const
+ {
+ return _MarkovChain_length;
+ }
+
+ const double SetUpParams::temperature_decay() const
+ {
+ return _temperature_decay;
+ }
+
+ const bool SetUpParams::display_state() const
+ {
+ return _display_state;
+ }
+
+ const unsigned long SetUpParams::refresh_global_state() const
+ {
+ return _refresh_global_state;
+ }
+
+ const bool SetUpParams::synchronized() const
+ {
+ return _synchronized;
+ }
+
+ const unsigned int SetUpParams::cooperation() const
+ {
+ return _cooperation;
+ }
+
+ void SetUpParams::independent_runs(const unsigned int val)
+ {
+ _independent_runs = val;
+ }
+
+ void SetUpParams::max_evaluations(const unsigned long val)
+ {
+ _max_evaluations= val;
+ }
+ void SetUpParams::MarkovChain_length(const unsigned int val)
+ {
+ _MarkovChain_length= val;
+ }
+ void SetUpParams::temperature_decay(const double val)
+ {
+ _temperature_decay= val;
+ }
+
+ void SetUpParams::display_state(const bool val)
+ {
+ _display_state=val;
+ }
+
+ void SetUpParams::refresh_global_state(const unsigned long val)
+ {
+ _refresh_global_state=val;
+ }
+
+ void SetUpParams::synchronized(const bool val)
+ {
+ _synchronized=val;
+ }
+
+ void SetUpParams::cooperation(const unsigned int val)
+ {
+ _cooperation=val;
+ }
+
+ SetUpParams::~SetUpParams()
+ {}
+
+// Statistics ------------------------------------------------------
+
+ Statistics::Statistics()
+ {}
+
+ ostream& operator<< (ostream& os, const Statistics& stats)
+ {
+ int j;
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF CURRENT TRIAL " << endl;
+ os << "------------------------------------------------------------------" << endl;
+ for (int i=0;i< stats.stats_data.size();i++)
+ {
+ os << endl
+ << " Evaluations: " << stats.stats_data[i].nb_evaluations
+ << " Best: " << stats.stats_data[i].best_cost
+ << " Current: " << stats.stats_data[i].current_cost;
+ }
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+ Statistics& Statistics::operator= (const Statistics& stats)
+ {
+ stats_data = stats.stats_data;
+ return *this;
+ }
+
+ void Statistics::update(const Solver& solver)
+ {
+ /* struct stat *new_stat;
+ if ((new_stat=(struct stat *)malloc(sizeof(struct stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluations= solver.current_iteration();
+ new_stat->best_cost = solver.current_best_cost();
+ new_stat->current_cost = solver.current_cost();
+ stats_data.append(*new_stat); */
+ }
+
+ Statistics::~Statistics()
+ {
+ stats_data.remove();
+ }
+
+ void Statistics::clear()
+ {
+ stats_data.remove();
+ }
+
+// Solver (superclass)---------------------------------------------------
+
+ Solver::Solver (const Problem& pbm, const SetUpParams& setup)
+ : problem(pbm),
+ params(setup),
+ _stat(),
+ _userstat(),
+ _sc(),
+ _direction(pbm.direction()),
+ current(pbm),
+ tentative(pbm),
+ currentTemperature(0.0),
+ time_spent_in_trial(0.0),
+ total_time_spent(0.0),
+ start_trial(0.0),
+ start_global(0.0),
+ _current_trial("_current_trial",_sc),
+ _current_iteration("_current_iteration",_sc),
+ _current_best_solution("_current_best_solution",_sc),
+ _current_best_cost("_current_best_cost",_sc),
+ _current_solution("_current_solution",_sc),
+ _current_cost("_current_cost",_sc),
+ _current_time_spent("_current_time_spent",_sc),
+ _initial_temperature_trial("_initial_temperature_trial",_sc),
+ _time_best_found_trial("_time_best_found_trial",_sc),
+ _iteration_best_found_trial("_iteration_best_found_trial",_sc),
+ _temperature_best_found_trial("_temperature_best_found_trial",_sc),
+ _time_spent_trial("_time_spent_trial",_sc),
+ _trial_best_found("_trial_best_found",_sc),
+ _iteration_best_found("_iteration_best_found;",_sc),
+ _global_best_solution("_global_best_solution",_sc),
+ _global_best_cost("_global_best_cost",_sc),
+ _time_best_found("_time_best_found",_sc),
+ _temperature("_temperature",_sc),
+ _display_state("_display_state",_sc)
+ {
+ current_trial(0);
+ current_iteration(0);
+ current_best_solution(current),
+ current_best_cost((-1) * pbm.direction() * infinity());
+ current_solution(current);
+ current_cost((-1) * pbm.direction() * infinity());
+ current_time_spent(total_time_spent);
+ initial_temperature_trial(0);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0.0);
+ time_spent_trial(time_spent_in_trial);
+ trial_best_found(0);
+ iteration_best_found(0);
+ global_best_solution(current);
+ global_best_cost((-1) * pbm.direction() * infinity());
+ time_best_found(total_time_spent);
+ temperature(currentTemperature);
+ display_state(setup.display_state());
+
+ move = new DefaultMove;
+ }
+
+ int Solver::pid() const
+ {
+ return 0;
+ }
+
+ bool Solver::end_trial() const
+ {
+ return _end_trial;
+ }
+
+ unsigned int Solver::current_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_trial",(char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned long Solver::current_iteration() const
+ {
+ unsigned long value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_iteration",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_best_solution() const
+ {
+ Solution sol(problem);
+ unsigned long nitems,length;
+ char data_stored[_current_best_solution.get_nitems() + _current_best_solution.get_length()];
+ _sc.get_contents_state_variable("_current_best_solution", data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::current_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::current_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::current_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_current_solution.get_nitems() + _current_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_current_solution",data_stored, nitems, length);
+ sol.to_Solution((char *)data_stored);
+ return sol;
+ }
+
+ float Solver::current_time_spent() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _current_time_spent.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found_trial() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::initial_temperature_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _initial_temperature_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature_best_found_trial() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _temperature_best_found_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_spent_trial() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_spent_trial.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::trial_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _trial_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ unsigned int Solver::iteration_best_found() const
+ {
+ unsigned int value=0;
+ unsigned long nitems,length;
+ _iteration_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ Solution Solver::global_best_solution() const
+ {
+ Solution sol(problem);
+ char data_stored[_global_best_solution.get_nitems() + _global_best_solution.get_length()];
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_solution",data_stored, nitems, length);
+ sol.to_Solution(data_stored);
+ return sol;
+ }
+
+ double Solver::global_best_cost() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_global_best_cost",(char *)&value, nitems, length);
+ return value;
+ }
+
+ float Solver::time_best_found() const
+ {
+ float value=0.0;
+ unsigned long nitems,length;
+ _time_best_found.get_contents((char *)&value, nitems, length);
+ return value;
+ }
+
+ double Solver::temperature() const
+ {
+ double value=0.0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_temperature",(char *)&value, nitems, length);
+ return value;
+ }
+
+ int Solver::display_state() const
+ {
+ int value=0;
+ unsigned long nitems,length;
+ _sc.get_contents_state_variable("_display_state",(char *)&value, nitems, length);
+ return value;
+ }
+
+ void Solver::current_trial(const unsigned int value)
+ {
+ _sc.set_contents_state_variable("_current_trial",(char *)&value,1,sizeof(int));
+ }
+
+ void Solver::current_iteration(const unsigned long value)
+ {
+ _sc.set_contents_state_variable("_current_iteration",(char *)&value,1,sizeof(long));
+ }
+
+ void Solver::current_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_current_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::current_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_current_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::current_time_spent(const float value)
+ {
+ _current_time_spent.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::time_best_found_trial(const float value)
+ {
+ _time_best_found_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::iteration_best_found_trial(const unsigned int value)
+ {
+ _iteration_best_found_trial.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::initial_temperature_trial(const double value)
+ {
+ _initial_temperature_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::temperature_best_found_trial(const double value)
+ {
+ _temperature_best_found_trial.set_contents((char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_spent_trial(const float value)
+ {
+ _time_spent_trial.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::trial_best_found(const unsigned int value)
+ {
+ _trial_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::iteration_best_found(const unsigned int value)
+ {
+ _iteration_best_found.set_contents((char *)&value,1,sizeof(int));
+ }
+
+ void Solver::global_best_solution(const Solution& sol)
+ {
+ _sc.set_contents_state_variable("_global_best_solution",sol.to_String(),1,sol.size());
+ }
+
+ void Solver::global_best_cost(const double value)
+ {
+ _sc.set_contents_state_variable("_global_best_cost",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::time_best_found(const float value)
+ {
+ _time_best_found.set_contents((char *)&value,1,sizeof(float));
+ }
+
+ void Solver::temperature(const double value)
+ {
+ _sc.set_contents_state_variable("_temperature",(char *)&value,1,sizeof(double));
+ }
+
+ void Solver::display_state(const int value)
+ {
+ _sc.set_contents_state_variable("_display_state",(char *)&value,1,sizeof(int));
+ }
+
+ const Statistics& Solver::statistics() const
+ {
+ return _stat;
+ }
+
+ const UserStatistics& Solver::userstatistics() const
+ {
+ return _userstat;
+ }
+
+ const SetUpParams& Solver::setup() const
+ {
+ return params;
+ }
+
+ const Problem& Solver::pbm() const
+ {
+ return problem;
+ }
+
+ void Solver::KeepHistory(const Solution& sol, const double curfit,const float time_spent_in_trial,const float total_time_spent)
+ {
+ bool betterG=false;
+ bool betterT=false;
+
+ switch (_direction)
+ {
+ case minimize: betterG = (curfit < global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit < current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ case maximize: betterG = (curfit > global_best_cost() || (curfit == global_best_cost() && time_spent_in_trial < time_best_found()));
+ betterT = (curfit > current_best_cost() || (curfit == current_best_cost() && time_spent_in_trial < time_best_found_trial()));
+ break;
+ }
+
+ if (betterT)
+ {
+ current_best_solution(sol);
+ current_best_cost(curfit);
+ time_best_found_trial(time_spent_in_trial);
+ iteration_best_found_trial(current_iteration());
+ temperature_best_found_trial(temperature());
+ if (betterG)
+ {
+ trial_best_found(current_trial());
+ iteration_best_found(current_iteration());
+ global_best_solution(sol);
+ global_best_cost(curfit);
+ time_best_found(time_spent_in_trial);
+ }
+ }
+ }
+
+ double Solver::UpdateT(double temp, int K)
+ {
+ //return temp * params.temperature_decay(); // initial
+
+ /*
+ if(K == 1) return temp/log(2);
+ else return temp * log(K) / log(K+1);
+ */
+ /*
+ if(K == 1) return temp/2;
+ else return (temp * K) / (K + 1);
+ */
+
+ if(K == 1) return temp / exp(2);
+ else return (temp * exp(K)) / exp(K+1);
+
+ }
+
+ StateCenter* Solver::GetState()
+ {
+ return &_sc;
+ }
+
+ void Solver::RefreshState()
+ {
+ current_solution(current);
+ current_cost(curfit);
+ current_time_spent(total_time_spent);
+ time_spent_trial(time_spent_in_trial);
+ temperature(currentTemperature);
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::UpdateFromState()
+ {
+ current = current_solution();
+ curfit = current_cost();
+ total_time_spent=current_time_spent();
+ time_spent_in_trial=time_spent_trial();
+ currentTemperature = temperature();
+
+ KeepHistory(current,curfit,time_spent_in_trial,total_time_spent);
+ }
+
+ void Solver::show_state() const
+ {
+ cout << endl << "Current trial: " << current_trial();
+ cout << endl << "Current iteration: " << current_iteration();
+ cout << endl << "Current Temperature: " << temperature ();
+ cout << endl << "Current cost: " << current_cost();
+ cout << endl << "Best cost in trial: " << current_best_cost();
+ cout << endl << "Time of best solution found in trial: " << time_best_found_trial();
+ cout << endl << "Iteration of best solution found in trial: " << iteration_best_found_trial();
+ cout << endl << "Initial temperature in trial: " << initial_temperature_trial();
+ cout << endl << "Temperature of best solution found in trial: " << temperature_best_found_trial();
+ cout << endl << "Time spent in trial: " << time_spent_trial();
+ cout << endl << "Global best cost: " << global_best_cost();
+ cout << endl << "Trial of best global solution found: " << trial_best_found();
+ cout << endl << "Iteration of best global solution found: " << iteration_best_found();
+ cout << endl << "Time of global best solution found: " << time_best_found();
+ // cout << endl << "Current solution: " << current_solution();
+ // cout << endl << "Best solution of trial: " << current_best_solution();
+ // cout << endl << "Global solution: " << global_best_solution() << endl;
+ cout << endl << endl << "Current time spent (so far): " << current_time_spent() << endl;
+ }
+
+ Solver::~Solver()
+ {
+ _sc.removeAll();
+ delete move;
+ }
+
+ bool Solver::AcceptQ (double tent, double cur, double temperature)
+ {
+ if (_direction==minimize)
+
+ return (tent < cur) ||
+ ((rand01()*(1+exp((tent-cur)/temperature)))<2.0);
+
+ else
+
+ return (tent > cur) ||
+ ((rand01()*(1+exp((cur-tent)/temperature)))<2.0);
+ }
+
+ double Solver::Set_Initial_Temperature(const Problem& pbm)
+ {
+ const double beta = 1.05;
+ const double test = 10;
+ const double acrat = .8;
+ const double T = 1.0;
+
+ Solution current (pbm);
+ Solution newsol (pbm);
+ double ac;
+ double fit;
+ double temperature = T;
+
+ do
+ {
+ temperature *= beta;
+ ac = 0;
+ current.initialize();
+ fit = current.fitness();
+ for (int i=0; i<test; i++)
+ {
+ newsol = current;
+ move->Apply(newsol);
+ if (AcceptQ(newsol.fitness(),fit,temperature))
+ ac += 1.0/test;
+ }
+ } while (ac < acrat);
+
+ initial_temperature_trial(temperature);
+ return temperature;
+
+ }
+
+ void Solver::SetMove (Move* mov)
+ {
+ delete move;
+ move = mov;
+ }
+
+ // Solver sequencial -----------------------------------------------------
+
+ Solver_Seq::Solver_Seq (const Problem& pbm, const SetUpParams& setup)
+ : Solver(pbm,setup)
+ {
+ random_seed(time(0));
+ _end_trial=true;
+ }
+
+ Solver_Seq::~Solver_Seq ()
+ {}
+
+ void Solver_Seq::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Seq::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Seq::StartUp(const Solution& sol, const double initialTemperature)
+ {
+ start_trial=_used_time();
+ start_global=total_time_spent;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current = sol;
+ curfit = current.fitness();
+ current_best_cost((-1) * problem.direction() * infinity());
+ currentTemperature = initialTemperature;
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+ void Solver_Seq::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+
+ tentative = current;
+ move->Apply(tentative);
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ if (display_state())
+ show_state();
+ }
+
+
+ void Solver_Seq::run (unsigned long int max_evaluations)
+ {
+ StartUp();
+
+ while (current_iteration()<max_evaluations && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Seq::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+
+ while ((current_iteration()<max_evaluations) && !TerminateQ(problem, *this, params))
+ DoStep();
+ }
+
+ void Solver_Seq::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ // Solver LAN -----------------------------------------------------------
+
+ Solver_Lan::Solver_Lan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Lan::~Solver_Lan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Lan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Lan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Lan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Lan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Lan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ void update(Direction direction, Solution &solution_received,double cost_received, Solution &solution_to_send, double &best_cost)
+ {
+ switch (direction)
+ {
+ case minimize: if (cost_received < best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ case maximize: if (cost_received > best_cost)
+ {
+ solution_to_send=solution_received;
+ best_cost=cost_received;
+ }
+ }
+ }
+
+ int Solver_Lan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Lan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Lan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Lan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Lan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Lan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Lan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Lan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+
+ // Solver WAN ------------------------------------------------------------
+
+ Solver_Wan::Solver_Wan (const Problem& pbm, const SetUpParams& setup,int argc,char **argv):
+ _best_solution_trial(pbm),
+ Solver(pbm,setup),_netstream(),
+ // Termination phase //
+ final_phase(false),acum_evaluations(0)
+ {
+ NetStream::init(argc,argv);
+ mypid=_netstream.my_pid();
+ random_seed(time(0) + (mypid+1));
+ if (mypid!=0)
+ _netstream << set_source(0) << set_target(0);
+ }
+
+ Solver_Wan::~Solver_Wan ()
+ {
+ NetStream::finalize();
+ }
+
+ int Solver_Wan::pid() const
+ {
+ return mypid;
+ }
+
+ NetStream& Solver_Wan::netstream()
+ {
+ return _netstream;
+ }
+
+ void Solver_Wan::StartUp()
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol)
+ {
+ StartUp(sol, Set_Initial_Temperature(problem));
+ }
+
+ void Solver_Wan::StartUp(const double initialTemperature)
+ {
+ Solution sol(problem);
+
+ sol.initialize();
+
+ StartUp(sol, initialTemperature);
+ }
+
+ void Solver_Wan::StartUp(const Solution& sol, const double initialTemperature)
+ {
+
+ _netstream << barrier;
+
+ start_trial=_used_time();
+ start_global=total_time_spent;
+ // Termination phase //
+ final_phase = false;
+ acum_evaluations = 0;
+
+ _end_trial=false;
+
+ current_trial(current_trial()+1);
+ current_iteration(0);
+
+ k = 0;
+ time_spent_in_trial=0.0;
+ current_best_cost((-1) * problem.direction() * infinity());
+ iteration_best_found_trial(0);
+ temperature_best_found_trial(0);
+ time_best_found_trial(0.0);
+ time_spent_trial(0.0);
+
+ if (mypid!=0)
+ {
+ current = sol;
+ curfit = current.fitness();
+ currentTemperature = initialTemperature;
+
+ RefreshState();
+
+ send_local_state_to(mypid);
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state()) show_state();
+ }
+ }
+
+ int Solver_Wan::cooperation()
+ {
+ int received=false;
+ Solution solution_received(problem), solution_to_send(problem);
+ double cost_received=0, cost_to_send=0;
+ int pending=false;
+ int pid_source,pid_target;
+
+ if (mypid!=0)
+ {
+ if (((int)current_iteration() % params.refresh_global_state()) ==0) // isnot the server
+ {
+ _netstream << set_target(0);
+ send_local_state_to(mypid);
+ }
+
+ if (params.cooperation()==0) return received;
+ pid_target=mypid+1;
+ if (pid_target==_netstream.pnumber()) pid_target=1;
+ _netstream << set_target(pid_target);
+
+ pid_source=mypid-1;
+ if (pid_source==0) pid_source=_netstream.pnumber()-1;
+ _netstream << set_source(pid_source);
+
+ if ((((int)current_iteration() % params.cooperation())==0) && (params.max_evaluations()!=current_iteration()))
+ {
+ if (mypid==1)
+ _netstream << current_best_cost() << current_best_solution();
+
+ if (params.synchronized())
+ {
+ _netstream << wait(regular);
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (!params.synchronized())
+ {
+ int pending=false;
+ _netstream._probe(regular,pending);
+ if (pending)
+ {
+ _netstream >> cost_received >> solution_received;
+ received=true;
+ }
+ }
+
+ if (mypid!=1 && received)
+ {
+ solution_to_send = current_best_solution();
+ cost_to_send=current_best_cost();
+
+ if (received)
+ {
+ update(problem.direction(),solution_received, cost_received, solution_to_send,cost_to_send);
+ }
+ _netstream << cost_to_send << solution_to_send;
+ }
+
+ if (received)
+ {
+ tentative=solution_received;
+ curfit=cost_received;
+ }
+
+ _netstream << set_target(0);
+ }
+
+ return received;
+ }
+
+ void Solver_Wan::DoStep()
+ {
+ current_iteration(current_iteration()+1);
+ // Termination phase //
+ _netstream << set_source(0);
+ int pending;
+ _netstream._probe(packed, pending);
+ if(pending)
+ {
+ Solution sol(problem);
+ _netstream << pack_begin >> sol << pack_end;
+ final_phase = true;
+ }
+ ////////////////////////
+
+ int received=cooperation();
+
+ if (!received)
+ {
+ tentative = current;
+ move->Apply(tentative);
+ }
+
+ double tentfit = tentative.fitness();
+
+ if (AcceptQ(tentfit,curfit, currentTemperature))
+ {
+ current = tentative;
+ curfit = tentfit;
+ }
+
+ k++;
+ if (k>=params.MarkovChain_length())
+ {
+ currentTemperature = UpdateT(currentTemperature,current_iteration()/params.MarkovChain_length());
+ k = 0;
+ }
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // if (display_state())
+ // show_state();
+ }
+
+ void Solver_Wan::send_local_state_to(int _mypid)
+ {
+ _netstream << set_target(0);
+ _netstream << pack_begin
+ << _mypid
+ << current_trial()
+ << current_iteration()
+ << current_solution()
+ << current_cost()
+ << current_best_solution()
+ << current_best_cost()
+ << time_best_found_trial()
+ << iteration_best_found_trial()
+ << temperature_best_found_trial()
+ << temperature()
+ << pack_end;
+ }
+
+ int Solver_Wan::receive_local_state_from(int source_pid)
+ {
+ _netstream << set_source(source_pid);
+ int received_pid=0;
+
+ _netstream._wait(packed);
+ _netstream << pack_begin
+ >> received_pid
+ >> _current_trial
+ >> _current_iteration
+ >> current
+ >> curfit
+ >> _best_solution_trial
+ >> _best_cost_trial
+ >> _time_best_found_in_trial
+ >> _iteration_best_found_in_trial
+ >> _temperature_best_found_in_trial
+ >> currentTemperature
+ << pack_end;
+
+ return received_pid;
+ }
+
+ void Solver_Wan::check_for_refresh_global_state() // Executed in process with pid 0
+ {
+ unsigned int nb_finalized_processes=0;
+ int received_pid;
+ int nb_proc=_netstream.pnumber();
+
+ while (!_end_trial)
+ {
+ // checking for all processes
+
+ received_pid=0;
+ received_pid=receive_local_state_from(MPI_ANY_SOURCE);
+
+ // refresh the global state with received data ( a local state )
+ current_trial(_current_trial);
+ current_iteration(_iteration_best_found_in_trial);
+ temperature(_temperature_best_found_in_trial);
+
+ KeepHistory(_best_solution_trial,_best_cost_trial,_time_best_found_in_trial,start_global + _time_best_found_in_trial);
+
+ if (received_pid==-1)
+ {
+ // Termination phase //
+ if(!final_phase && TerminateQ(problem,*this,params))
+ {
+ Solution sol(problem);
+ acum_evaluations = params.max_evaluations() * nb_finalized_processes;
+ for(int i = 1; i < _netstream.pnumber(); i++)
+ {
+ _netstream << set_target(i);
+ _netstream << pack_begin << sol << pack_end;
+ }
+ final_phase = true;
+ }
+ nb_finalized_processes++;
+ acum_evaluations += _iteration_best_found_in_trial;
+ }
+
+ if (nb_finalized_processes==nb_proc-1) _end_trial=true;
+
+ current_iteration(_current_iteration);
+ temperature(currentTemperature);
+
+ time_spent_in_trial = _used_time(start_trial);
+ total_time_spent = start_global + time_spent_in_trial;
+
+ RefreshState();
+
+ _stat.update(*this);
+ //_userstat.update(*this);
+
+ // display current global state
+ if (display_state()) show_state();
+ } // end while
+
+ // Actualización de las estadísticas // Termination phase //
+ iteration_best_found_trial(acum_evaluations/(_netstream.pnumber()-1));
+
+ bool betterG=false;
+ double best_cost = current_best_cost();
+ switch (problem.direction())
+ {
+ case minimize: betterG = (best_cost < global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ case maximize: betterG = (best_cost > global_best_cost() || (best_cost == global_best_cost() && time_best_found_trial() <= time_best_found()));
+ break;
+ }
+
+ if (betterG)
+ iteration_best_found(iteration_best_found_trial());
+
+ RefreshState();
+
+ _stat.update(*this);
+ _userstat.update(*this);
+
+ // display the global state at the end of the current trial
+ if (display_state()) show_state();
+ }
+
+ void Solver_Wan::run ()
+ {
+ while (current_trial() < params.independent_runs())
+ run(params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const unsigned long int max_evaluations)
+ {
+ StartUp();
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol, unsigned long int max_evaluations)
+ {
+ StartUp(sol);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature)
+ {
+ while (current_trial() < params.independent_runs())
+ run(sol,initialTemperature,params.max_evaluations());
+ }
+
+ void Solver_Wan::run (const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::run (const Solution& sol,const double initialTemperature, unsigned long int max_evaluations)
+ {
+ StartUp(sol,initialTemperature);
+ if (mypid!=0)
+ {
+ while (!final_phase && (current_iteration() < max_evaluations) && !(TerminateQ(problem,*this,params)))
+ DoStep();
+ send_local_state_to(-1);
+ }
+ else
+ {
+ check_for_refresh_global_state();
+ }
+
+ _netstream << barrier;
+ reset();
+ }
+
+ void Solver_Wan::reset()
+ {
+ Solution left_solution(problem);
+ double left_cost;
+ _netstream << set_source(MPI_ANY_SOURCE);
+ if (mypid!=0)
+ {
+ int pendingr = false;
+ int pendingp = false;
+ do
+ {
+ pendingr = false;
+ pendingp = false;
+ _netstream._probe(regular,pendingr);
+ _netstream._probe(packed,pendingp);
+ if (pendingr) _netstream >> left_cost >> left_solution;
+ if (pendingp) _netstream << pack_begin >> left_solution << pack_end;
+ } while (pendingr || pendingp);
+ }
+ _netstream << barrier;
+ }
+};
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.req.cc b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.req.cc
new file mode 100644
index 0000000..c14f23a
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/SA.req.cc
@@ -0,0 +1,527 @@
+/************************************************
+*** ***
+*** Simulated Annealing Skeleton v1.0 ***
+*** User-required classes and methods ***
+*** Developed by: Carlos Cotta Porras ***
+*** ***
+*** ***
+************************************************/
+
+#include <iostream.h>
+#include "SA.hh"
+#include "Mallba/random.hh"
+#include "StopCondition.hh"
+
+skeleton SA {
+
+
+// Problem ---------------------------------------------------------------
+ Problem::Problem ():_nCustomers(0),_capacity(0),_distance(NULL),
+ _demand(NULL),_service_time(0),_maxRouteTime(0.0)
+ {}
+
+ ostream& operator<< (ostream& os, const Problem& pbm)
+ {
+ os << endl << endl << " Vehicle capacity: " << pbm._capacity
+ << endl << " Number of Customers: " << pbm._nCustomers << endl
+ << " Service time: " << pbm._service_time << endl
+ << " Max Time for any route: " << pbm._maxRouteTime << endl
+ << " Distances: " << endl;
+
+ for(int i = 0; i < (pbm._nCustomers + 1) ; i++)
+ {
+ for(int j = 0; j < pbm._nCustomers; j++)
+ os << " " << pbm.distance(i,j);
+ os << endl;
+ }
+
+ os << endl << " Demand for each customer: " << endl;
+
+ for(int i = 0; i < (pbm._nCustomers + 1) ; i++)
+ {
+ os << " " << i << "\t" << pbm._demand[i] << endl;
+ }
+
+ return os;
+ }
+
+ istream& operator>> (istream& is, Problem& pbm)
+ {
+ char buffer[MAX_BUFFER];
+ int *x;
+ int *y;
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer," %d %d %lf %d %lf",&pbm._nCustomers,&pbm._capacity,&pbm._maxRouteTime,&pbm._service_time,&pbm._bestCost);
+
+ if( ((pbm._distance = new double *[pbm._nCustomers + 1]) == NULL)
+ || ((pbm._demand = new int[pbm._nCustomers + 1]) == NULL)
+ || ((x = new int[pbm._nCustomers + 1]) == NULL)
+ || ((y = new int[pbm._nCustomers + 1]) == NULL))
+ show_message(7);
+
+ // Read depot coordenates
+ if( ((pbm._distance[0] = new double[pbm._nCustomers+1]) == NULL))
+ show_message(7);
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer," %d %d",&(x[0]),&(y[0]));
+ pbm._demand[0] = 0;
+
+ // Read customers coordenates
+ for(int i = 1; i < (pbm._nCustomers + 1); i++)
+ {
+ if( ((pbm._distance[i] = new double[pbm._nCustomers+1]) == NULL))
+ show_message(7);
+
+ is.getline(buffer,MAX_BUFFER,'\n');
+ sscanf(buffer," %d %d %d", &(x[i]),&(y[i]),&(pbm._demand[i]));
+ }
+
+ pbm.genDistances(x,y);
+
+ delete [] x;
+ delete [] y;
+
+ return is;
+ }
+
+ void Problem::genDistances(int *x,int *y)
+ {
+ for(int i = 0; i < (_nCustomers + 1); i++)
+ for(int j = 0; j < (_nCustomers +1) ; j++)
+ _distance[i][j] = sqrt( pow( (double) (x[j] - x[i]),2 ) +
+ pow( (double) (y[j] - y[i]),2 ) ) + _service_time ;
+ }
+
+ Problem& Problem::operator= (const Problem& pbm)
+ {
+ if(_distance != NULL)
+ {
+ for(int i= 0;i < (_nCustomers+1); i++)
+ if(_distance[i] != NULL) delete [] _distance[i];
+ delete [] _distance;
+ }
+
+ if(_demand != NULL) delete [] _demand;
+
+ if( ((_distance = new double*[pbm._nCustomers]) == NULL)
+ || ((_demand = new int[pbm._nCustomers + 1]) == NULL))
+ show_message(7);
+
+ _nCustomers = pbm.nCustomers();
+ _capacity = pbm.capacity();
+ _service_time = pbm.service_time();
+ _maxRouteTime = pbm.maxRouteTime();
+
+ for(int i = 0; i < (_nCustomers+1); i++)
+ {
+ _demand[i] = pbm.demand(i);
+
+ if( ((_distance[i] = new double[_nCustomers+1]) == NULL))
+ show_message(7);
+
+ for(int j = 0; j < (_nCustomers+1); i++)
+ {
+ _distance[i][j] = pbm.distance(i,j);
+ }
+ }
+
+ return *this;
+ }
+
+ bool Problem::operator== (const Problem& pbm) const
+ {
+ if( (_maxRouteTime != pbm.maxRouteTime()) || (_nCustomers != pbm.nCustomers())
+ || (_capacity != pbm.capacity()) || (_service_time != pbm.service_time()))
+ return false;
+
+ for(int i = 0; i < (_nCustomers+1); i++)
+ {
+ if(_demand[i] != pbm.demand(i))
+ return false;
+
+ for(int j = 0; j < (_nCustomers+1); i++)
+ {
+ if(distance(i,j) != pbm.distance(i,j)) return false;
+ }
+ }
+
+ return true;
+ }
+
+ bool Problem::operator!= (const Problem& pbm) const
+ {
+ return !(*this == pbm);
+ }
+
+ Direction Problem::direction() const
+ {
+ //return maximize;
+ return minimize;
+ }
+
+ double Problem::maxRouteTime() const
+ {
+ return _maxRouteTime;
+ }
+
+ double Problem::bestCost() const
+ {
+ return _bestCost;
+ }
+
+ int Problem::nCustomers() const
+ {
+ return _nCustomers;
+ }
+
+ int Problem::capacity() const
+ {
+ return _capacity;
+ }
+
+ double Problem::distance(const int i, const int j) const
+ {
+ return _distance[i][j];
+ }
+
+ int Problem::demand(const int i) const
+ {
+ return _demand[i];
+ }
+
+ int Problem::service_time() const
+ {
+ return _service_time;
+ }
+
+ Problem::~Problem()
+ {
+ if(_distance != NULL)
+ {
+ for(int i= 0;i < (_nCustomers+1); i++)
+ if(_distance[i] != NULL) delete [] _distance[i];
+ delete [] _distance;
+ }
+
+ if(_demand != NULL) delete [] _demand;
+
+ }
+
+// Solution --------------------------------------------------------------
+ Solution::Solution (const Problem& pbm):_pbm(pbm),_routes(pbm.nCustomers())
+ {}
+
+ const Problem& Solution::pbm() const
+ {
+ return _pbm;
+ }
+
+ Solution::Solution(const Solution& sol):_pbm(sol.pbm())
+ {
+ *this=sol;
+ }
+
+ istream& operator>> (istream& is, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers(); i++)
+ {
+ is >> sol._routes[i];
+ }
+ return is;
+ }
+
+ ostream& operator<< (ostream& os, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers(); i++)
+ {
+ os << (sol._routes[i]<10?" ":"") << sol._routes[i] << " ";
+ }
+
+ return os;
+ }
+
+ void Solution::print()
+ {
+ int ultimo = 0;
+ double dist = 0.0;
+ int cap = _pbm.capacity();
+
+ register int c_actual;
+ register int i = 0;
+
+ int nRoute = 1;
+
+ cout << " Ruta " << nRoute << " = 0 ";
+ while(i < _pbm.nCustomers())
+ {
+ c_actual = _routes[i];
+
+ if( ((dist + _pbm.distance(ultimo,c_actual) + _pbm.distance(c_actual,0)) > _pbm.maxRouteTime())
+ || (( cap - _pbm.demand(c_actual)) < 0)
+ // add in version 1.0.1
+ || ((_pbm.distance(ultimo,0) + _pbm.distance(0,c_actual)) < _pbm.distance(ultimo,c_actual))
+ )
+ {
+ nRoute++;
+ cout << "0 -> dist = " << (dist + _pbm.distance(ultimo,0)) << " capacidad sobra = " << cap
+ << endl << "Ruta " << nRoute << " = 0 ";
+ ultimo = 0;
+ dist = 0.0;
+ cap = _pbm.capacity();
+ }
+ else
+ {
+ dist += _pbm.distance(ultimo,c_actual);
+ cap -= _pbm.demand(c_actual);
+ ultimo = c_actual;
+ cout << ultimo << " ";
+ i++;
+ }
+ }
+
+ cout << "0 -> dist = " << (dist + _pbm.distance(ultimo,0)) << " capacidad sobra = " << cap
+ << endl;
+ }
+
+ NetStream& operator << (NetStream& ns, const Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers();i++)
+ ns << sol._routes[i];
+ return ns;
+ }
+
+ NetStream& operator >> (NetStream& ns, Solution& sol)
+ {
+ for (int i=0;i<sol.pbm().nCustomers();i++)
+ ns >> sol._routes[i];
+ return ns;
+ }
+
+ Solution& Solution::operator= (const Solution &sol)
+ {
+ _routes = sol._routes;
+ return *this;
+ }
+
+ bool Solution::operator== (const Solution& sol) const
+ {
+ if (sol.pbm() != _pbm) return false;
+ return true;
+ }
+
+ bool Solution::operator!= (const Solution& sol) const
+ {
+ return !(*this == sol);
+ }
+
+ void Solution::initialize()
+ {
+ int aux,ind1,ind2;
+
+ int max = _pbm.nCustomers();
+
+ for(int i = 0; i < max; i++)
+ _routes[i] = i+1;
+
+ cout << endl;
+
+ for(int i=0;i< (max*5) ; i++)
+ {
+ ind1 = rand_int(0,max-1);
+ ind2 = rand_int(0,max-1);
+
+ aux = _routes[ind1];
+ _routes[ind1] = _routes[ind2];
+ _routes[ind2] = aux;
+ }
+ }
+
+ double Solution::fitness () const
+ {
+ double fitness = 0.0;
+ int ultimo = 0;
+ double dist = 0.0;
+ int cap = _pbm.capacity();
+
+ register int c_actual;
+ register int i = 0;
+
+ while(i < _pbm.nCustomers())
+ {
+ c_actual = _routes[i];
+
+ if( ((dist + _pbm.distance(ultimo,c_actual) + _pbm.distance(c_actual,0)) > _pbm.maxRouteTime())
+ || (( cap - _pbm.demand(c_actual)) < 0)
+ // Add on version 1.0.1
+ // New constrains: cost( Route + actual) < cost( new Route(actual))
+ || ((_pbm.distance(ultimo,0) + _pbm.distance(0,c_actual)) < _pbm.distance(ultimo,c_actual))
+ )
+ {
+ fitness += dist + _pbm.distance(ultimo,0);
+ ultimo = 0;
+ dist = 0.0;
+ cap = _pbm.capacity();
+ }
+ else
+ {
+ dist += _pbm.distance(ultimo,c_actual);
+ cap -= _pbm.demand(c_actual);
+ ultimo = c_actual;
+ i++;
+ }
+ }
+
+ fitness += dist + _pbm.distance(ultimo,0);
+
+ return fitness;
+ }
+
+ char *Solution::to_String() const
+ {
+ return (char *)_routes.get_first();
+ }
+
+ void Solution::to_Solution(char *_routes_)
+ {
+ int *ptr=(int *)_routes_;
+
+ for (int i=0;i<_pbm.nCustomers();i++)
+ {
+ _routes[i]=*ptr;
+ ptr++;
+ }
+ }
+
+ unsigned int Solution::size() const
+ {
+ return ( _pbm.nCustomers() * sizeof(int));
+ }
+
+ int & Solution::pos(const int index)
+ {
+ return _routes[index];
+ }
+
+
+ Rarray<int>& Solution::routes()
+ {
+ return _routes;
+ }
+
+ Solution::~Solution()
+ {}
+
+// UserStatistics -------------------------------------------------------
+
+ UserStatistics::UserStatistics ()
+ {}
+
+ ostream& operator<< (ostream& os, const UserStatistics& userstat)
+ {
+ os << "\n---------------------------------------------------------------" << endl;
+ os << " STATISTICS OF TRIALS " << endl;
+ os << "------------------------------------------------------------------" << endl;
+
+ for (int i=0;i< userstat.result_trials.size();i++)
+ {
+ os << endl
+ << "\t" << userstat.result_trials[i].trial
+ << "\t" << userstat.result_trials[i].best_cost_trial
+ << "\t\t" << userstat.result_trials[i].nb_evaluation_best_found_trial
+ << "\t\t" << userstat.result_trials[i].initial_temperature
+ << "\t\t" << userstat.result_trials[i].temperature_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_best_found_trial
+ << "\t\t" << userstat.result_trials[i].time_spent_trial;
+ }
+
+ os << endl << "------------------------------------------------------------------" << endl;
+ return os;
+ }
+
+
+ UserStatistics& UserStatistics::operator= (const UserStatistics& userstats)
+ {
+ result_trials=userstats.result_trials;
+ return (*this);
+ }
+
+
+ void UserStatistics::update(const Solver& solver)
+ {
+ if ((solver.pid()!=0) || (solver.end_trial()!=true)
+ || ((solver.current_iteration()!=solver.setup().max_evaluations())
+ && !TerminateQ(solver.pbm(),solver,solver.setup())))
+ return;
+ struct user_stat *new_stat;
+ if ((new_stat=(struct user_stat *)malloc(sizeof(struct user_stat)))==NULL)
+ show_message(7);
+ new_stat->trial = solver.current_trial();
+ new_stat->nb_evaluation_best_found_trial= solver.iteration_best_found_trial();
+ new_stat->initial_temperature=solver.initial_temperature_trial();
+ new_stat->temperature_best_found_trial=solver.temperature_best_found_trial();
+ new_stat->best_cost_trial = solver.current_best_cost();
+ new_stat->time_best_found_trial= solver.time_best_found_trial();
+ new_stat->time_spent_trial = solver.time_spent_trial();
+ result_trials.append(*new_stat);
+ }
+
+ void UserStatistics::clear()
+ {
+ result_trials.remove();
+ }
+
+ UserStatistics::~UserStatistics()
+ {
+ result_trials.remove();
+ }
+
+// DefaultMove -------------------------------------------------------
+
+
+ DefaultMove::DefaultMove()
+ {}
+
+ DefaultMove::~DefaultMove()
+ {}
+
+ void DefaultMove::Apply (Solution& sol) const
+ {
+ Solution aux(sol);
+ const int max = sol.pbm().nCustomers();
+ float fit = sol.fitness();
+ float fit_a;
+ Direction d = sol.pbm().direction();
+
+ for(int i = 0; i < max; i++)
+ for(int j = i+1; j < max; j++)
+ {
+ aux.routes().invert(i,j);
+ fit_a = aux.fitness();
+ if( ((d == minimize) && (fit_a < fit))
+ || ((d == minimize) && (fit_a > fit) && (rand01() < 0.3))
+ || ((d == maximize) && (fit_a > fit))
+ || ((d == maximize) && (fit_a < fit) && (rand01() < 0.3)))
+ {
+ fit = fit_a;
+ sol = aux;
+ }
+ else aux = sol;
+ }
+ }
+
+ //------------------------------------------------------------------------
+ // Specific methods ------------------------------------------------------
+ //------------------------------------------------------------------------
+
+ bool TerminateQ (const Problem& pbm, const Solver& solver,
+ const SetUpParams& setup)
+ {
+
+ StopCondition_3 stop;
+ return stop.EvaluateCondition(pbm,solver,setup);
+ }
+}
+
+
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/StopCondition.cc b/ProyectoFinal/CHC/malva/rep/SA/vrp/StopCondition.cc
new file mode 100644
index 0000000..e5a2279
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/StopCondition.cc
@@ -0,0 +1,52 @@
+#include "StopCondition.hh"
+skeleton SA
+{
+
+// StopCondition -------------------------------------------------------------------------------------
+
+ StopCondition::StopCondition()
+ {}
+
+ StopCondition::~StopCondition()
+ {}
+
+// StopCondition_1 -------------------------------------------------------------------------------------
+
+ StopCondition_1::StopCondition_1():StopCondition()
+ {}
+
+ bool StopCondition_1::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return false;
+ }
+
+ StopCondition_1::~StopCondition_1()
+ {}
+
+// StopCondition_2 -------------------------------------------------------------------------------------
+
+ StopCondition_2::StopCondition_2():StopCondition()
+ {}
+
+ bool StopCondition_2::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return (solver.global_best_cost()>8.5);
+ }
+
+ StopCondition_2::~StopCondition_2()
+ {}
+
+// StopCondition_3 -------------------------------------------------------------------------------------
+
+ StopCondition_3::StopCondition_3():StopCondition()
+ {}
+
+ bool StopCondition_3::EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)
+ {
+ return ((double)solver.current_best_cost()==pbm.bestCost());
+ }
+
+ StopCondition_3::~StopCondition_3()
+ {}
+
+}
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/StopCondition.hh b/ProyectoFinal/CHC/malva/rep/SA/vrp/StopCondition.hh
new file mode 100644
index 0000000..04ef770
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/StopCondition.hh
@@ -0,0 +1,41 @@
+#ifndef stop_condition
+#define stop_condition
+
+#include "SA.hh"
+skeleton SA
+{
+
+ provides class StopCondition
+ {
+ public:
+ StopCondition();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup)=0;
+ ~StopCondition();
+ };
+
+ requires class StopCondition_1 : public StopCondition
+ {
+ public:
+ StopCondition_1();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_1();
+ };
+
+ requires class StopCondition_2 : public StopCondition
+ {
+ public:
+ StopCondition_2();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_2();
+ };
+
+ requires class StopCondition_3 : public StopCondition
+ {
+ public:
+ StopCondition_3();
+ virtual bool EvaluateCondition(const Problem& pbm,const Solver& solver,const SetUpParams& setup);
+ ~StopCondition_3();
+ };
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/rep/SA/vrp/pgfileLan b/ProyectoFinal/CHC/malva/rep/SA/vrp/pgfileLan
new file mode 100644
index 0000000..1c419a1
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/rep/SA/vrp/pgfileLan
@@ -0,0 +1,5 @@
+localhost 0 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
+localhost 1 ~/Mallba/rep/SA/vrp/MainLan
diff --git a/ProyectoFinal/CHC/malva/src/Makefile b/ProyectoFinal/CHC/malva/src/Makefile
new file mode 100644
index 0000000..b6d64fb
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/Makefile
@@ -0,0 +1,14 @@
+include ../environment
+
+OBJS = States.o netstream.o
+
+all: $(OBJS)
+
+States.o: States.cc States.hh
+ $(CXX) $(CPPFLAGS) States.cc -c
+
+netstream.o: netstream.cc netstream.hh
+ $(CXX) $(CPPFLAGS) netstream.cc -c
+
+clean:
+ rm -f *.o *~ *%
diff --git a/ProyectoFinal/CHC/malva/src/Matrix.hh b/ProyectoFinal/CHC/malva/src/Matrix.hh
new file mode 100644
index 0000000..cc30ae7
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/Matrix.hh
@@ -0,0 +1,337 @@
+/*****************************************************************************
+*** ***
+*** Este fichero decribe el template Matrix, para el manejo de matrices. ***
+*** Tambien permite el manejo de vectores, los que trata como matrices cuya***
+*** primera dimension es 1. ***
+*** ***
+*****************************************************************************/
+#ifndef _MATRIX
+#define _MATRIX
+
+#include "Messages.h"
+#include <assert.h>
+
+template <class T> class Matrix
+{
+ private:
+ T *_matrix;
+ T nulo,neutro,inverso;
+ int _dimX,_dimY;
+
+ public:
+ Matrix()
+ {
+ _dimX = _dimY = 0;
+ _matrix = NULL;
+ }
+
+ Matrix(const int x,const int y,const T nulo = 0.0,const T neutro = 1.0,const T inverso = -1.0)
+ {
+ assert(x >= 1);
+ assert(y >= 1);
+
+ int k = 0;
+
+ _dimX = x;
+ _dimY = y;
+
+ this->nulo = nulo;
+ this->neutro = neutro;
+ this->inverso = inverso;
+
+ _matrix = new T [_dimX*_dimY];
+ if(!_matrix) show_message(7);
+
+ for(int i = 0; i < x; i++)
+ {
+ for(int j = 0; j < y ; j++)
+ {
+ _matrix[k] = (i!=j?nulo:neutro);
+ k++;
+ }
+
+ }
+ }
+
+ Matrix(const int y,const T nulo = 0.0,const T neutro = 1.0,const T inverso = -1.0)
+ {
+ assert(y >= 1);
+
+ _dimX = 1;
+ _dimY = y;
+
+ this->nulo = nulo;
+ this->neutro = neutro;
+ this->inverso = inverso;
+
+ _matrix = new T [_dimY];
+ if(!_matrix) show_message(7);
+
+ _matrix[0] = neutro;
+ for(int j = 1; j < y ; j++)
+ _matrix[j] = nulo;
+ }
+
+ Matrix(const Matrix<T> &m)
+ {
+
+ _dimX = m.dimX();
+ _dimY = m.dimY();
+
+ nulo = m.nulo;
+ neutro = m.neutro;
+ inverso = m.inverso;
+
+ _matrix = new T [_dimX*_dimY];
+ if(!_matrix) show_message(7);
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ {
+ _matrix[i] = m[i];
+ }
+ }
+
+
+ ~Matrix()
+ {
+ remove();
+ }
+
+ T &operator()(const int x,const int y) const
+ {
+ if((x >= _dimX) || (y >= _dimY))
+ show_message(14);
+
+ return (T&)(*(_matrix + (x*_dimX) + y));
+ }
+
+ T &operator[](const int y) const
+ {
+ if(y >= (_dimX*_dimY))
+ show_message(14);
+
+ return (T&)(*(_matrix + y));
+ }
+
+ T &operator()(const int y) const
+ {
+ if(y >= (_dimX*_dimY))
+ show_message(14);
+
+ return (T&)(*(_matrix + y));
+ }
+
+ Matrix<T> &operator=(const Matrix<T> &m)
+ {
+ remove();
+
+ _dimX = m.dimX();
+ _dimY = m.dimY();
+
+ _matrix = new T [_dimX*_dimY];
+ if(!_matrix) show_message(7);
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ {
+ _matrix[i] = m[i];
+ }
+
+ return (*this);
+ }
+
+ bool operator==(const Matrix<T> &m) const
+ {
+ if((_dimX != m.dimX()) || (_dimY != m.dimY()))
+ return false;
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ if(_matrix[i] != m[i]) return false;
+
+ return true;
+ }
+
+ bool operator!=(const Matrix<T> &m) const
+ {
+ return !((*this) == m);
+ }
+
+ Matrix<T> operator*(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimY?0:_dimX);
+ int y = (x!=0?m.dimY():0);
+ T acum = nulo;
+
+ Matrix<T> res(x,y);
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < m.dimY(); j++)
+ {
+ acum = nulo;
+ for( int k = 0; k < _dimY; k++)
+ acum += (*this)(i,k)* m(k,j);
+ res(i,j) = acum;
+ }
+
+ return Matrix<T>(res);
+
+ }
+
+ Matrix<T> &operator*=(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimY?0:_dimX);
+ int y = (x!=0?0:m.dimY());
+ T acum = nulo;
+
+ Matrix<T> res(x,y);
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < m.dimY(); j++)
+ {
+ acum = nulo;
+ for( int k = 0; k < _dimY; k++)
+ acum += (*this)(i,k)*m(k,j);
+ res(i,j) = acum;
+ }
+
+ (*this) = res;
+
+ return (*this);
+
+ }
+
+ Matrix<T> operator*(const T &elem)
+ {
+ Matrix<T> res(_dimX,_dimY);
+
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ res[i] = _matrix[i] * elem;
+
+ return Matrix(res);
+ }
+
+ Matrix<T> &operator*=(const T &elem)
+ {
+ for(int i = 0; i < (_dimX*_dimY); i++)
+ _matrix[i] *= elem;
+
+ return (*this);
+ }
+
+ Matrix<T> operator+(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimX?0:_dimX);
+ int y = (m.dimY()!=_dimY?0:_dimY);
+
+ Matrix<T> res(x,y);
+
+ for(int i = 0; i < (x*y); i++)
+ res[i] = _matrix[i] + m[i];
+
+ return Matrix<T>(res);
+ }
+
+ Matrix<T> &operator+=(const Matrix<T> &m)
+ {
+ int x = (m.dimX()!=_dimX?0:_dimX);
+ int y = (m.dimY()!=_dimY?0:_dimY);
+
+ for(int i = 0; i < (x*y); i++)
+ _matrix[i] += m[i];
+
+ return (*this);
+ }
+
+ Matrix<T> operator-(const Matrix<T> &m)
+ {
+ Matrix<T> res();
+
+ res = m * inverso;
+ return (*this) + res;
+ }
+
+
+ Matrix<T> &operator-=(const Matrix<T> &m)
+ {
+ Matrix<T> res();
+
+ res = m * inverso;
+ (*this) += res;
+
+ return (*this);
+ }
+
+ Matrix<T> Traspuesta()
+ {
+ Matrix<T> res(_dimY,_dimX);
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < _dimY; j++)
+ res(j,i) = (*this)(i,j);
+
+ return Matrix<T>(res);
+ }
+
+ Matrix<T> &nula()
+ {
+ for(int i = 0; i < (_dimX*dimY); i++)
+ _matrix[i] = nulo;
+
+ return (*this);
+ }
+
+ Matrix<T> &identity()
+ {
+ register int k = 0;
+
+ for(int i = 0; i < _dimX; i++)
+ for(int j = 0; j < _dimY; j++)
+ {
+ _matrix[k] = (i!=j?nulo:neutro);
+ k++;
+ }
+
+ return (*this);
+ }
+
+ unsigned int size() const
+ {
+ return (sizeof(T)*_dimX*_dimY);
+ }
+
+ char *to_string() const
+ {
+ return (char *) _matrix;
+ }
+
+ Matrix<T> &to_Matrix(char *_cadena)
+ {
+ T *ptr = (T *)_cadena;
+
+ for(int i = 0; i < (_dimX*_dimY) ; i++)
+ {
+ _matrix[i] = *ptr;
+ ptr++;
+ }
+
+ return (*this);
+ }
+
+
+ int dimX() const
+ {
+ return _dimX;
+ }
+
+ int dimY() const
+ {
+ return _dimY;
+ }
+
+ void remove()
+ {
+ if(_matrix != NULL)
+ delete [] _matrix;
+ }
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/Messages.h b/ProyectoFinal/CHC/malva/src/Messages.h
new file mode 100644
index 0000000..e46b1d8
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/Messages.h
@@ -0,0 +1,112 @@
+/*****************************************************************************/
+/*** ***/
+/*** Modificado por G.J.L.P. ***/
+/*** Añadidos nuevos mensajes que indican falta de algún ***/
+/*** Fichero de Configuración (No específico para ningún ***/
+/*** problema) o nuevos errores. ***/
+/*** ***/
+/*****************************************************************************/
+
+#ifndef RLFAP_MESSAGES
+#define RLFAP_MESSAGES
+
+#ifndef MAX_BUFFER
+#define MAX_BUFFER 200
+#endif
+
+#include <iostream>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+
+using namespace std;
+
+inline void show_message(int value)
+{
+ switch (value)
+ {
+ case 1: cout << endl << "Error: number of arguments in the execution call is incorrect !!"
+ << endl; break;
+ case 2: cout << endl << "Error: It's imposible find Configuration file !!" << endl;
+ break;
+ /* Específicos de RLFAP */
+ case 3: cout << endl << "Error: It is imposible find the Celar problem definition file (cst.txt) !!"
+ << endl; break;
+ case 4: cout << endl << "Error: It is imposible find the Celar domains file (dom.txt) !!"
+ << endl; break;
+ case 5: cout << endl << "Error: It is imposible find the Celar links file (var.txt) !!"
+ << endl; break;
+ case 6: cout << endl << "Error: It is imposible find the Celar constraints file (ctr.txt) !!"
+ << endl; break;
+ /* Fallos de Memoria */
+ case 7: cout << endl << "Error: No avalible memory for \"malloc\" operation !!" << endl;
+ break;
+ case 8: cout << endl << "Error: in \"free\" operation !!" << endl;
+ break;
+ /* Específicos del MaxCut */
+ case 9: cout << endl << "Error: It is imposible find the Maxcut file (Maxcut.txt) !!"
+ << endl; break;
+ /* Genéricos de Falta de ficheros de configuracion adicionales al mensaje 2 */
+ case 10: cout << endl << "Error: It's imposible find Configuration file (Config.cfg) !!"
+ << endl; break;
+ case 11: cout << endl << "Error: It's imposible find Skeleton Configuration File (Ske.cfg) !!"
+ << endl; break;
+ case 12: cout << endl << "Error: It's imposible find Instance Problem File !!" << endl;
+ break;
+ case 13: cout << endl << "Error: It's imposible find Resultate File !!" << endl;
+ break;
+ case 14: cout << endl << "Error: Index out of Range !!" << endl;
+ break;
+ default: cout << endl << "Unkown Error !!" << endl;
+ }
+
+ cout << endl << " " << endl;
+ exit(-1);
+}
+
+inline void continue_question()
+{
+ fflush(stdout);
+ cout << endl << "Press any key to continue..." << endl;
+ fflush(stdin);
+ getc(stdin);
+}
+
+inline void get_path(const char *source,char *target)
+{
+ int last = 0;
+
+ for(int i = 0; i < strlen(source); i++)
+ {
+ target[i] = source[i];
+ if(target[i] == '/')
+ last = i;
+ }
+ target[last+1] = '\0';
+}
+
+inline unsigned count_lines(char *file_name) // returns the number of lines of a file
+{
+ char line[MAX_BUFFER];
+ FILE *file;
+ int count=0;
+
+ if ((file=fopen(file_name,"r"))==NULL)
+ {
+ fflush(stdout);
+ printf("File not found !");
+ }
+
+ while (!feof(file))
+ {
+ if (fgets(line,MAX_BUFFER,file)) count++;
+ else
+ {
+ fclose(file);
+ break;
+ }
+ }
+ return count;
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/Rarray.h b/ProyectoFinal/CHC/malva/src/Rarray.h
new file mode 100644
index 0000000..5d1a1c2
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/Rarray.h
@@ -0,0 +1,145 @@
+/******************************************************************************
+*** ***
+*** Template para el manejo dinámico de arrays ***
+*** Añadido métodos para invertir todo o parte del array. ***
+*** ***
+******************************************************************************/
+
+#ifndef ARRAY_INC
+#define ARRAY_INC 1
+#include <iostream>
+#include <assert.h>
+
+using namespace std;
+
+template<class E1> class Rarray
+{
+ private:
+ E1 *first;
+ int count;
+
+ public:
+ Rarray()
+ {
+ first = NULL;
+ count = 0;
+ }
+
+ ~Rarray()
+ {
+ remove();
+ }
+
+ E1* get_first() const
+ {
+ return first;
+ }
+
+ void message_a(int cod) const
+ {
+ switch (cod)
+ {
+ case 1: cout << endl << "The size of array must be upper that 0 !!!" ;
+ }
+ }
+
+ Rarray(const int size_a)
+ {
+ if (size_a<0) message_a(1);
+ first = new E1[size_a];
+ count=size_a;
+ }
+
+ void remove()
+ {
+ if (count!=0)
+ delete [] first;
+ }
+
+ int size() const
+ {
+ return count;
+ }
+
+ E1& operator[](int pos) const
+ {
+ return (E1&)(*(first + pos));
+ }
+
+ friend ostream& operator<< (ostream& os,const Rarray<E1>& a)
+ {
+ for (int i=0;i<a.size();i++)
+ os << endl << a[i];
+ return os;
+ }
+
+ Rarray<E1>& operator=(const Rarray<E1>& source)
+ {
+ remove();
+ count = source.size();
+ first = new E1[count];
+
+ for (int i=0;i<count;i++)
+ (*this)[i] = source[i];
+
+ return (*this);
+ }
+
+
+ Rarray<E1>& invert()
+ {
+ return invert(0,count-1);
+ }
+
+ Rarray<E1>& invert(const int pos1, const int pos2)
+ {
+ int max,min,half,i,j;
+ E1 aux;
+
+ if(pos1 > pos2)
+ {
+ max = pos1;
+ min = pos2;
+ }
+ else
+ {
+ max = pos2;
+ min = pos1;
+ }
+
+ assert((min > 0) || (min < count-1));
+ half = ((max-min)/2) + 1;
+
+ for(i = min,j=max; i< half; i++,j--)
+ {
+ aux = first[min];
+ first[min] = first[max];
+ first[max] = aux;
+ }
+
+ return (*this);
+ }
+
+ Rarray<E1>& sort(int (*comp)(const E1 &,const E1 &))
+ {
+ E1 aux;
+ int j;
+
+ for (int i=1; i < count ; i++)
+ {
+ aux = first[i];
+ j = i - 1;
+ while ( (comp(aux,first[j])) && (j >= 0) )
+ {
+ first[j+1]= first[j];
+ j--;
+ }
+ first[j+1] = aux;
+ }
+
+ return (*this);
+ }
+
+}; // end of class
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/Rlist.h b/ProyectoFinal/CHC/malva/src/Rlist.h
new file mode 100644
index 0000000..f561d0b
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/Rlist.h
@@ -0,0 +1,415 @@
+/******************************************************************************
+*** ***
+*** Este template sirve para el manejo de listas din�micas ***
+*** ***
+******************************************************************************/
+
+#ifndef LIST_INC
+#define LIST_INC 1
+#include <iostream>
+#include <stdlib.h>
+#include <Messages.h>
+
+using namespace std;
+
+template<class E> class Rlist_item
+{
+ public:
+ E *useful_data; // pointer to the structure stored in the list
+ Rlist_item<E> *next;
+ Rlist_item<E> *previous;
+
+ Rlist_item(E& new_data)
+ {
+ useful_data=&new_data;
+ next=NULL;
+ previous=NULL;
+ }
+
+ Rlist_item(E *new_data)
+ {
+ useful_data=new_data;
+ next=NULL;
+ previous=NULL;
+ }
+
+ ~Rlist_item()
+ {
+ }
+
+ Rlist_item<E>& next_item()
+ {
+ return *(next);
+ }
+
+ Rlist_item<E>& previous_item()
+ {
+ return *(previous);
+ }
+
+ bool is_last()
+ {
+ return (next==NULL);
+ }
+
+ bool is_first()
+ {
+ return (previous==NULL);
+ }
+
+ E& data()
+ {
+ return *(useful_data);
+ }
+};
+
+template<class E> class Rlist
+{
+ private:
+ Rlist_item<E> *first; // first item in the list
+ Rlist_item<E> *last; // last item un the list
+ int count; // number of items in the list
+
+ public:
+ // constructor
+ Rlist()
+ {
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+
+ // destructor
+ ~Rlist()
+ {
+ remove();
+ }
+
+ // Return the size of the list
+ int size() const
+ { return count; }
+
+ // Go back to the initial state of the list
+ void reset()
+ {
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+
+ // Add a item at the final of the list
+ Rlist<E>& append(E& new_item)
+ {
+ Rlist_item<E> *new_Rlist_item=new Rlist_item<E>(new_item);
+ if (first==NULL)
+ {
+ first=new_Rlist_item;
+ new_Rlist_item->next=NULL;
+ new_Rlist_item->previous=NULL;
+ }
+ else
+ {
+ last->next=new_Rlist_item;
+ new_Rlist_item->previous=last;
+ }
+ last=new_Rlist_item;
+ count++;
+ return *this;
+ }
+
+ Rlist<E>& append(E *new_item)
+ {
+ append(*new_item);
+ return (*this);
+ }
+
+ // Add a item in a position ( pos ) of the list
+ Rlist<E>& add_pos(E& new_item, const int pos)
+ {
+ if (pos==size()-1)
+ return append(new_item);
+
+ if (pos==-1)
+ return add(new_item,NULL);
+ else
+ return add(new_item,get_at(pos).useful_data);
+ }
+
+ // Add a item in the list in the position next to "previous item"
+ Rlist<E>& add(E& new_item,E *previous_item)
+ {
+ if (first==NULL)
+ return append(new_item);
+
+ Rlist_item<E> *new_Rlist_item=new Rlist_item<E>(new_item);
+
+ if (previous_item==NULL) // Add the item like the first of the list
+ {
+ new_Rlist_item->next=first;
+ new_Rlist_item->previous=NULL;
+ first->previous=new_Rlist_item;
+ first=new_Rlist_item;
+ }
+ else
+ {
+ int previous_position=get_position(*previous_item);
+ if (previous_position==-1) return(*this);
+ Rlist_item<E> *previous_Rlist_item = &( get_at(previous_position));
+ new_Rlist_item->next=previous_Rlist_item->next;
+ new_Rlist_item->previous=previous_Rlist_item;
+ if (previous_Rlist_item->next!=NULL)
+ (previous_Rlist_item->next)->previous=new_Rlist_item;
+ else last=new_Rlist_item;
+ previous_Rlist_item->next=new_Rlist_item;
+ }
+ count++;
+ return *this;
+ }
+
+ // Return a pointer to the first item of the list
+ Rlist_item<E> *get_first() const
+ { return first; }
+
+ // Assign a item like the first item in the list
+ void set_first(Rlist_item<E> *new_first)
+ { first=new_first; }
+
+ // Return a pointer to the last item of the list
+ Rlist_item<E> *get_last() const
+ { return last; }
+
+ // Assign a item like the last item in the list
+ void set_last(Rlist_item<E> *new_last)
+ { last=new_last; }
+
+ // Return the item at position "pos"
+ E& operator[](int pos) const
+ {
+ return *(get_at(pos).useful_data);
+ }
+
+ // Return the Rlist_item at position "pos"
+ Rlist_item<E>& get_at(int pos) const
+ {
+ Rlist_item<E> *present=first;
+ for (int k=0;k<size();k++)
+ if (k==pos) return *present;
+ else present=present->next;
+ }
+
+ // Return the item position in the list
+ int get_position(const E& item) const // probado
+ {
+ Rlist_item<E> *present=first;
+ int i=0;
+
+ while(present!=NULL)
+ {
+ if (present->useful_data==&item) return i;
+ i++;
+ present=present->next;
+ }
+ return -1; // the object has not been found
+ }
+
+ // Delete a item of the list
+ Rlist<E>& delete_item(E& item)
+ {
+ int position = get_position(item);
+
+ if (position==-1) return *this;
+ Rlist_item<E> *present=&(get_at(position));
+
+ if (&item==first->useful_data) // is the first
+ {
+ if (&item==last->useful_data)
+ {
+ delete(first->useful_data);
+ delete(first);
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+ else
+ {
+ first=first->next;
+ first->previous=NULL;
+ delete(present->useful_data);
+ delete(present);
+ count--;
+ }
+ }
+ else
+ {
+ if (&item==last->useful_data)
+ {
+ last=present->previous;
+ last->next=NULL;
+ delete(present->useful_data);
+ delete(present);
+ count--;
+ }
+ else
+ {
+ (present->next)->previous=present->previous;
+ (present->previous)->next=present->next;
+ delete(present->useful_data);
+ delete(present);
+ count--;
+ }
+ }
+ return *this;
+ }
+
+ // Delete a item of the list without free the useful_data
+ Rlist<E>& delete_item_1(E& item)
+ {
+ int position = get_position(item);
+
+ if (position==-1) return *this;
+ Rlist_item<E> *present=&(get_at(position));
+
+ if (&item==first->useful_data) // is the first
+ {
+ if (&item==last->useful_data)
+ {
+ delete(first);
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+ else
+ {
+ first=first->next;
+ first->previous=NULL;
+ delete(present);
+ count--;
+ }
+ }
+ else
+ {
+ if (&item==last->useful_data)
+ {
+ last=present->previous;
+ last->next=NULL;
+ delete(present);
+ count--;
+ }
+ else
+ {
+ (present->next)->previous=present->previous;
+ (present->previous)->next=present->next;
+ delete(present);
+ count--;
+ }
+ }
+ return *this;
+ }
+
+ // Delete item at position "pos"
+ Rlist<E>& delete_item_by_position(const int pos)
+ { return delete_item(*(get_at(pos).useful_data)); }
+
+ // Delete the last item in the list
+ Rlist<E>& delete_last()
+ { return delete_item(*(last->useful_data)); }
+
+ // delete all items in the list
+ Rlist<E>& remove()
+ {
+ Rlist_item<E> *next,*present=first;
+ while (present!=NULL)
+ {
+ next=present->next;
+ delete(present->useful_data);
+ delete(present);
+ present=next;
+ }
+ first=NULL;
+ last=NULL;
+ count=0;
+ return *this;
+ }
+
+ // Join a new list to this list
+ Rlist<E>& join(Rlist<E>& new_list)
+ {
+ if (new_list.size()==0)
+ return *this;
+
+ if (first==NULL)
+ {
+ first=new_list.get_first();
+ last=new_list.get_last();
+ }
+ else
+ {
+ last->next=new_list.get_first();
+ (new_list.get_first())->previous=last;
+ last = new_list.get_last();
+ }
+ count += new_list.size();
+ new_list.reset();
+ return *this;
+ }
+
+ // Show items of the list
+ friend ostream& operator<<(ostream& os, const Rlist<E>& list)
+ {
+ Rlist_item<E> *present=list.get_first();
+ if (list.get_first()==NULL) os << endl << "THE LIST IS EMPTY !!";
+ while (present!=NULL)
+ {
+ os << endl << (*(present->useful_data));
+ // Falta el operador para stat.
+ // (habra que ver)
+ present=present->next;
+ }
+ return os;
+ }
+
+ // Copy the list passed
+ Rlist<E>& operator=(const Rlist<E>& source)
+ {
+ E *new_item;
+ remove();
+ if (source.first==NULL && source.last==NULL)
+ {
+ first=NULL;
+ last=NULL;
+ count=0;
+ }
+ else
+ {
+ for (int i=0;i<source.size();i++)
+ {
+ if ((new_item=(E *)malloc(sizeof(E)))==NULL)
+ show_message(7);
+ (*new_item)=*(source.get_at(i).useful_data);
+ append(*new_item);
+ }
+ }
+ return *this;
+ }
+
+ // Invert the order of items in the list
+ Rlist<E>& invert()
+ {
+ Rlist_item<E> *present,*interchange;
+
+ present=first;
+
+ for (int i=0;i<size();i++)
+ {
+ interchange=present->next;
+ present->next=present->previous;
+ present->previous=interchange;
+ present=interchange;
+ }
+ interchange=first;
+ first=last;
+ last=interchange;
+ return (*this);
+ }
+}; // end of class
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/States.cc b/ProyectoFinal/CHC/malva/src/States.cc
new file mode 100644
index 0000000..f36d197
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/States.cc
@@ -0,0 +1,228 @@
+/******************************************************************************
+ Modified by Carlos Cotta Porras
+ April 2001
+
+ Modified by G.J.L.P
+******************************************************************************/
+
+
+#include <string.h>
+#include "States.hh"
+
+// Methods of class State_Vble
+
+ // constructors
+ State_Vble ::State_Vble ()
+ {
+ name=NULL;
+ nitems=0;
+ length=0;
+ content=NULL;
+ }
+
+ State_Vble ::State_Vble (const char *st_name)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ }
+
+ State_Vble::State_Vble (const char *st_name,StateCenter& sc)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ sc.add(*this);
+ }
+
+ State_Vble ::State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ set_contents(new_contents,new_nitems,new_length);
+ }
+
+ State_Vble ::State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length,StateCenter& sc)
+ {
+ name=strdup(st_name);
+ nitems=0;
+ length=0;
+ content=NULL;
+ set_contents(new_contents,new_nitems,new_length);
+ sc.add(*this);
+ }
+
+
+ // Set the name of a state vble.
+ void State_Vble ::set_name (const char* st_name) // Set the name of a state vble.
+ {
+ if (name!=NULL)
+ free(name);
+ name=strdup(st_name);
+ }
+
+ // Get the name of a state vble.
+ char* State_Vble ::get_name () const // Get the name of a state vble.
+ {
+ return name;
+ }
+
+ // Number of basic items
+ unsigned long State_Vble ::get_nitems() const // Number of basic items
+ {
+ return nitems;
+ }
+
+ // Get the total number of bytes
+ unsigned long State_Vble ::get_length () const // Get the total number of bytes
+ {
+ return length;
+ }
+
+ // Fill up a state vble.
+ void State_Vble ::set_contents (const char *new_contents, unsigned long new_nitems, unsigned long new_length)
+ {
+ if (content!=NULL)
+ free(content);
+ content=(char *)malloc(new_nitems * new_length);
+ memcpy(content,new_contents,(new_nitems*new_length));
+ nitems=new_nitems;
+ length=new_length;
+ }
+
+ // Obtain the contents of a state vble.
+ void *State_Vble ::get_contents (char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const
+ {
+ memcpy(read_contents,content,nitems * length);
+ read_nitems=nitems;
+ read_length=length;
+ return NULL;
+ }
+
+ ostream& operator<< (ostream& os,const State_Vble& st)
+ {
+ os << endl << st.name
+ << endl << st.nitems
+ << endl << st.length
+ << endl << st.content;
+
+ return os;
+ }
+
+ State_Vble ::~State_Vble ()
+ {
+ free(content);
+ free(name);
+ }
+
+// Methods of class StateCenter
+
+ StateCenter::StateCenter():state_variables()
+ {}
+
+ // searchs a state variable
+ State_Vble *StateCenter::find(const char *st_name) const
+ {
+ Rlist_item<State_Vble> *current_state=state_variables.get_first();
+
+ for (int i=0;i<state_variables.size();i++)
+ {
+ if (!(strcmp(current_state->data().get_name(),st_name)))
+ return &(current_state->data());
+ current_state=¤t_state->next_item();
+ }
+ return NULL;
+ }
+
+ // Add one state variable
+ void StateCenter::add(State_Vble& st)
+ {
+ State_Vble *found_state=find(st.get_name());
+ if (found_state==NULL)
+ state_variables.append(st);
+ else
+ cout << endl << "You are trying to introduce a state variable that is yet used in the skeleton !!" << st.get_name();
+ }
+
+ void StateCenter::add(State_Vble *st)
+ {
+ State_Vble *found_state=find(st->get_name());
+ if (found_state==NULL)
+ state_variables.append(*st);
+ else
+ cout << endl << "You are trying to introduce a state variable that is yet used in the skeleton !!" << st->get_name();
+ }
+
+ // Remove one state variable
+ void StateCenter::remove(const char* st_name)
+ {
+ State_Vble *found_state=find(st_name);
+ if (found_state!=NULL)
+ state_variables.delete_item_1(*found_state);
+ }
+
+ // Update the contents of one vble.
+ void StateCenter::update(const char* st_name, const State_Vble& st) const // Update the contents of one vble.
+ {
+ State_Vble *found_state=find(st_name);
+ if (found_state!=NULL)
+ {
+ char *a=(char *)malloc(found_state->get_nitems() * found_state->get_length());
+ unsigned long nitems,length;
+ st.get_contents(a,nitems,length);
+ found_state->set_contents(a,nitems,length);
+ free(a);
+ }
+ }
+
+ // Get a vble. with a given name
+ State_Vble& StateCenter::get(const char* st_name) const // Get a vble. with a given name
+ {
+ State_Vble *found_state=find(st_name);
+ return *found_state;
+ }
+
+ // Allows an easy iterated extraction
+ State_Vble* StateCenter::get_next(const State_Vble& st) const
+ {
+ State_Vble *found_state=find(st.get_name());
+ if (found_state==NULL) return NULL;
+ if ( state_variables.get_at(state_variables.get_position(*found_state)).is_last()) return NULL;
+ else return &(state_variables.get_at(state_variables.get_position(*found_state)).next_item().data());
+ }
+
+ // returns the number of state variables
+ unsigned int StateCenter::size() const
+ {
+ return state_variables.size();
+ }
+
+ // Obtain the contents of a state vble. of name st_name
+ void StateCenter::get_contents_state_variable(const char *st_name,char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const
+ {
+ get(st_name).get_contents(read_contents,read_nitems,read_length);
+ }
+
+ // Fill up a state vble.of name st_name
+ void StateCenter::set_contents_state_variable(const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length) const
+ {
+ get(st_name).set_contents(new_contents,new_nitems,new_length);
+ }
+
+ void StateCenter::removeAll()
+ {
+ while(state_variables.get_first())
+ {
+ Rlist_item<State_Vble>* v = state_variables.get_first();
+ remove(v->useful_data->get_name());
+ }
+ }
+
+ StateCenter::~StateCenter()
+ {
+ removeAll();
+ }
diff --git a/ProyectoFinal/CHC/malva/src/States.hh b/ProyectoFinal/CHC/malva/src/States.hh
new file mode 100644
index 0000000..e3a215f
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/States.hh
@@ -0,0 +1,64 @@
+/********************************************************************************************************
+*** ***
+*** Class StateCenter: Pool of state variables for skeletons ***
+*** ***
+*** Class State_Vble: State Variable of a skeleton ***
+*** ***
+*********************************************************************************************************/
+
+#ifndef STATE_CENTER
+#define STATE_CENTER 1
+
+#include "Rlist.h"
+#include <iostream>
+
+class StateCenter;
+
+class State_Vble
+{
+ private:
+ char *name;
+ unsigned long nitems;
+ unsigned long length;
+ char *content;
+
+ public:
+ // constructors
+ State_Vble ();
+ State_Vble (const char *st_name);
+ State_Vble (const char *st_name,StateCenter& sc);
+ State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length);
+ State_Vble (const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length,StateCenter& sc);
+
+ void set_name (const char* st_name); // Set the name of a state vble.
+ char* get_name () const; // Get the name of a state vble.
+ unsigned long get_nitems() const;
+ unsigned long get_length () const; // Get the total number of bytes
+ void set_contents (const char *new_contents, unsigned long new_nitems, unsigned long new_length); // Fill up a state vble.
+ void *get_contents (char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const; // Obtain the contents of a state vble.
+ friend ostream& operator<< (ostream& os,const State_Vble& st);
+ ~State_Vble ();
+};
+
+class StateCenter
+{
+ private:
+ Rlist<State_Vble> state_variables;
+
+ public:
+ StateCenter();
+ State_Vble *find(const char *st_name) const; // search a state variable
+ void add(State_Vble& st); // Add one state variable
+ void add(State_Vble *st); // Add one state variable
+ void remove(const char* st_name); // Remove one state variable
+ void removeAll(); // Removes all variables
+ void update(const char* st_name, const State_Vble& st) const; // Update the contents of one vble.
+ State_Vble& get(const char* st_name) const; // Get a vble. with a given name
+ State_Vble* get_next(const State_Vble& st) const; // Allows an easy iterated extraction
+ unsigned int size() const; // returns the number of state variables
+ void get_contents_state_variable(const char *st_name,char *read_contents, unsigned long& read_nitems, unsigned long& read_length) const; // Obtain the contents of a state vble. of name st_name
+ void set_contents_state_variable(const char *st_name,const char *new_contents, unsigned long new_nitems, unsigned long new_length) const; // Fill up a state vble.of name st_name
+ ~StateCenter();
+};
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/States.o b/ProyectoFinal/CHC/malva/src/States.o
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diff --git a/ProyectoFinal/CHC/malva/src/mallba.hh b/ProyectoFinal/CHC/malva/src/mallba.hh
new file mode 100644
index 0000000..e4a35c0
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/mallba.hh
@@ -0,0 +1,26 @@
+/*****************************************************************************
+*** ***
+*** Este fichero hace algunas declaraciones y declara algunos tipos comu- ***
+*** nes a todos los algoritmos implementados. ***
+*** ***
+*****************************************************************************/
+
+#ifndef INC_mallba_hh
+#define INC_mallba_hh
+
+#define skeleton namespace
+#define requires
+#define provides
+#define hybridizes(x)
+#define inherits typedef
+#define as
+
+enum Direction { minimize=-1,maximize=1};
+
+extern const double plus_infinity;
+extern const double minus_infinity;
+
+#define false 0
+#define true 1
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/netstream.cc b/ProyectoFinal/CHC/malva/src/netstream.cc
new file mode 100644
index 0000000..932e89e
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/netstream.cc
@@ -0,0 +1,380 @@
+/***************************************************************************
+ *** netstream.cc ***
+ *** v1.6 - July 2001 ***
+ ** ***
+ *** v1.5 - March 2001 ***
+ *** v1.0 - November 2000 ***
+ *** ***
+ *** v1.5 extends v1.0: ***
+ *** .- Changes metods init() and finalize() to be static ***
+ *** .- Incorporates process group management ***
+ *** .- Do not consider LEDA anymore ***
+ *** .- Contains a method "int my_pid()" for easy invokations ***
+ *** .- Adds "unsigned" and "long double" input/output ***
+ *** ***
+ *** v1.6 extends v1.5: ***
+ ** .- Internal in/out buffers for packed separated ***
+ *** ***
+ *** Communication services for LAN/WAN use following the message ***
+ *** passing paradigm. ***
+ *** STREAM C++ VERSION ***
+ *** MPI implementation ***
+ *** Developed by Erique Alba ***
+ ***************************************************************************/
+#include "netstream.hh"
+// Default constructor
+NetStream::NetStream()
+{
+ this->reset(); // Reset to default values member variables
+ packin_buffer = new char[MAX_PACK_BUFFER_SIZE];
+ packout_buffer = new char[MAX_PACK_BUFFER_SIZE];
+}
+// Init the underlying communication library (MPI)
+NetStream::NetStream (int argc, char ** argv)
+{
+ init(argc,argv);
+ this->reset();
+ packin_buffer = new char[MAX_PACK_BUFFER_SIZE];
+ packout_buffer = new char[MAX_PACK_BUFFER_SIZE];
+}
+// Default destructor
+NetStream::~NetStream()
+{
+ delete [] packin_buffer; delete [] packout_buffer;
+ this->reset();
+}
+// Give default values to member variables
+void NetStream::reset(void)
+{
+ default_target = default_source = 0;
+ pack_in_progress = false;
+ packin_index = packout_index = 0;
+ pending_input_packet = false;
+ pack_in = pack_out = false;
+ broadcast = false;
+ my_communicator = MPI_COMM_WORLD;
+}
+// Init the communication system. Invoke it only ONCE
+void NetStream::init(int argc, char** argv)
+{
+ static bool system_up = false; // Is MPI already running?
+ if (!system_up)
+ { MPI_Init(&argc,&argv);
+ system_up = true;
+ }
+}
+// Shutdown the communication system. Invoke it ONCE
+void NetStream::finalize(void)
+{
+ MPI_Finalize(); // Unconditional Finalization
+}
+// BASIC INPUT/OUTPUT SERVICES
+// ===================================================================================
+
+NetStream& NetStream::operator>> (bool& d)
+{ rcv(&d,1,NET_BOOL,default_source); return(*this); }
+
+NetStream& NetStream::operator<< (bool d)
+{ send(&d,1,NET_BOOL,default_target); return(*this); }
+NetStream& NetStream::operator>> (char& d)
+{ rcv(&d,1,NET_CHAR,default_source); return(*this); }
+NetStream& NetStream::operator<< (char d)
+{ send(&d,1,NET_CHAR,default_target); return(*this); }
+NetStream& NetStream::operator>> (short& d)
+{ rcv(&d,1,NET_SHORT,default_source); return(*this); }
+NetStream& NetStream::operator<< (short d)
+{ send(&d,1,NET_SHORT,default_target); return(*this); }
+NetStream& NetStream::operator>> (int& d)
+{ rcv(&d,1,NET_INT,default_source); return(*this); }
+NetStream& NetStream::operator<< (int d)
+{ send(&d,1,NET_INT,default_target); return(*this); }
+NetStream& NetStream::operator>> (long& d)
+{ rcv(&d,1,NET_LONG,default_source); return(*this); }
+NetStream& NetStream::operator<< (long d)
+{ send(&d,1,NET_LONG,default_target); return(*this); }
+NetStream& NetStream::operator>> (float& d)
+{ rcv(&d,1,NET_FLOAT,default_source); return(*this); }
+NetStream& NetStream::operator<< (float d)
+{ send(&d,1,NET_FLOAT,default_target); return(*this); }
+NetStream& NetStream::operator>> (double& d)
+{ rcv(&d,1,NET_DOUBLE,default_source); return(*this); }
+NetStream& NetStream::operator<< (double d)
+{ send(&d,1,NET_DOUBLE,default_target); return(*this); }
+NetStream& NetStream::operator>> (char* d)
+{ rcv(d,MAX_MSG_LENGTH,NET_CHAR,default_source); return(*this); }
+NetStream& NetStream::operator<< (char* d)
+{ send(d,strlen(d)+1,NET_CHAR,default_target); return(*this); }
+NetStream& NetStream::operator>> (void* d)
+{ rcv(d,MAX_MSG_LENGTH,NET_CHAR,default_source); return(*this); }
+NetStream& NetStream::operator<< (void* d)
+{ send(d,strlen((char*)d)+1,NET_CHAR,default_target); return(*this); }
+// Extended data types from version 1.5 on
+NetStream& NetStream::operator>> (unsigned char& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED_CHAR,default_source);return(*this); }
+
+NetStream& NetStream::operator<< (unsigned char d)
+{ send(&d,1,NET_UNSIGNED_CHAR,default_target); return(*this); }
+NetStream& NetStream::operator>> (unsigned short int& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED_SHORT,default_source);return(*this); }
+NetStream& NetStream::operator<< (unsigned short int d)
+{ send(&d,1,NET_UNSIGNED_SHORT,default_target); return(*this); }
+NetStream& NetStream::operator>> (unsigned int& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED,default_source); return(*this); }
+
+NetStream& NetStream::operator<< (unsigned int d)
+{ send(&d,1,NET_UNSIGNED,default_target); return(*this); }
+NetStream& NetStream::operator>> (unsigned long int& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_UNSIGNED_LONG,default_source);return(*this); }
+
+NetStream& NetStream::operator<< (unsigned long int d)
+{ send(&d,1,NET_UNSIGNED_LONG,default_target); return(*this); }
+NetStream& NetStream::operator>> (long double& d)
+{ rcv(&d,MAX_MSG_LENGTH,NET_LONG_DOUBLE,default_source); return(*this); }
+
+NetStream& NetStream::operator<< (long double d)
+{ send(&d,1,NET_LONG_DOUBLE,default_target); return(*this); }
+// SET-GET TARGET AND SOURCE PROCESSES
+NetStream& __set_target(NetStream& n, const int p) { return n._set_target(p); }
+NetStream& NetStream::_set_target(const int p)
+{ assert(p>=0); default_target = p; return (*this); }
+NetStream& __get_target(NetStream& n, int* p) { return n._get_target(p); }
+NetStream& NetStream::_get_target(int* p)
+{ *p = default_target; return (*this); }
+NetStream& __set_source(NetStream& n, const int p) { return n._set_source(p); }
+NetStream& NetStream::_set_source(const int p)
+{ /*assert(p>=0);*/ default_source = p; return (*this); }
+NetStream& __get_source(NetStream& n, int* p) { return n._get_source(p); }
+NetStream& NetStream::_get_source(int* p)
+{ *p = default_source; return (*this); }
+// Get the number of processes involved in the communications
+int NetStream::pnumber(void)
+{ int numprocs, rvalue;
+ rvalue = MPI_Comm_size(my_communicator,&numprocs);
+ assert(rvalue==MPI_SUCCESS);
+ return numprocs;
+}
+// MANIPULATORS: SYNCHRONIZATION AND PACKING SERVICES
+// ===================================================================================
+// Get the process ID [0, 1, 2, ...] fro the calling process
+NetStream& __my_pid(NetStream& n, int* pid)
+{
+ return n._my_pid(pid);
+}
+NetStream& NetStream::_my_pid(int* pid)
+{
+ MPI_Comm_rank(my_communicator,pid);
+ return (*this);
+}
+// EASY access to rank - Returns the process ID of the calling process
+int NetStream::my_pid(void)
+{ int pid;
+ this->_my_pid(&pid);
+ return pid;
+}
+// Sit and wait until all processes are in the same barrier
+// Can be used as a MANIPULATOR
+NetStream& barrier(NetStream& n)
+{
+ return n._barrier();
+}
+NetStream& NetStream::_barrier(void)
+{ int status;
+ status = MPI_Barrier(my_communicator);
+ assert(status==MPI_SUCCESS);
+ return (*this);
+}
+// Wait for an incoming message in any input stream
+NetStream& NetStream::_wait(const int stream_type) // class
+{
+ int rvalue;
+ MPI_Status status;
+ assert(stream_type==regular||stream_type==packed||stream_type==any);
+ if( ((stream_type==packed) || (stream_type==any) )&& (pending_input_packet) )
+ //if( (stream_type==packed) && (pending_input_packet) )
+ return (*this); // wait befor packet_begin when already received
+ rvalue = MPI_Probe(default_source,stream_type,my_communicator,&status);
+ assert(rvalue==MPI_SUCCESS);
+ return (*this);
+}
+
+NetStream& NetStream::_wait2(const int stream_type, int& tipo) // class
+{
+ int rvalue;
+ MPI_Status status;
+ assert(stream_type==regular||stream_type==packed||stream_type==any);
+ if( ((stream_type==packed) || (stream_type==any) )&& (pending_input_packet) )
+ //if( (stream_type==packed) && (pending_input_packet) )
+ return (*this); // wait befor packet_begin when already received
+ rvalue = MPI_Probe(default_source,stream_type,my_communicator,&status);
+ assert(rvalue==MPI_SUCCESS);
+ if (status.MPI_SOURCE == 0){
+ tipo = 1;
+ }
+ return (*this);
+}
+NetStream& __wait(NetStream& n, const int stream_type) // helper
+{
+ return n._wait(stream_type);
+}
+// Marks the beginning of a packed information
+NetStream& pack_begin(NetStream& n)
+{
+ return n._pack_begin();
+}
+NetStream& NetStream::_pack_begin(void)
+{
+ int rvalue=MPI_SUCCESS;
+ MPI_Status status;
+ if(!pack_in_progress)
+ { pack_in_progress = true;
+ packin_index = packout_index = 0;
+ pack_in = false;
+ pack_out = false;
+ if (!pending_input_packet)
+ { _probe(packed,pending_input_packet);
+ if(pending_input_packet)
+ rvalue = MPI_Recv(packin_buffer, MAX_PACK_BUFFER_SIZE, NET_PACKED,
+ default_source, PACKED_STREAM_TAG, my_communicator, &status);
+ }
+ }
+ return (*this);
+}
+// Marks the end of a packed and flush it to the net
+NetStream& pack_end(NetStream& n)
+{
+ return n._pack_end();
+}
+NetStream& NetStream::_pack_end(void)
+{
+ int rvalue, mypid;
+ if (pack_in_progress)
+ {
+ if(pack_out)
+ { if(broadcast) // Packet broadcast
+ { broadcast = false;
+ _my_pid(&mypid);
+ rvalue = MPI_Bcast(packout_buffer,packout_index,NET_PACKED,
+ mypid,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ }
+ else
+ { rvalue = MPI_Send(packout_buffer, packout_index, NET_PACKED,
+ default_target,PACKED_STREAM_TAG,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ }
+ }
+ pack_in_progress = false;
+ pack_in = pack_out = false;
+ packin_index = packout_index = 0 ;
+ }
+ return (*this);
+}
+// Check whether there are awaiting data
+NetStream& probe(NetStream& n, const int stream_type, int& pending)
+{
+ return n._probe(stream_type, pending);
+}
+NetStream& NetStream::_probe(const int stream_type, int& pending)
+{
+ MPI_Status status;
+ int rvalue;
+ assert(stream_type==regular||stream_type==packed||stream_type==any);
+ rvalue = MPI_Iprobe(default_source,stream_type,my_communicator,&pending,&status);
+ assert(rvalue==MPI_SUCCESS);
+ return (*this);
+}
+// Broadcast a message to all the processes
+NetStream& broadcast(NetStream& n)
+{
+ return n._broadcast();
+}
+NetStream& NetStream::_broadcast(void)
+{
+ broadcast = true;
+ return (*this);
+}
+// PRIVATE SERVICES
+// ===================================================================================
+// Usually, the length is the number of bytes for every net type
+// When packing we must use in the pack calls the numer of items (length divided by type size)
+// Any char is encoded with a leading field of length
+void NetStream::send(void* d, const int len, const NET_TYPE type, const int target)
+{
+ int rvalue = MPI_SUCCESS, length = len;
+ // PACKING SERVICE
+ if(pack_in_progress)
+ {
+ pack_out = true;
+ assert(pack_out!=pack_in); // Error condition
+ if(type==NET_CHAR)
+ send(&length,sizeof(NET_INT),NET_INT,target); // Recursive call to store string length
+ else
+ length = 1;
+ rvalue = MPI_Pack(d,length,type,packout_buffer,MAX_PACK_BUFFER_SIZE,&packout_index,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ return;
+ }
+ if(broadcast) // Regular broadcast, packed broadcast managed in _pack_end()
+ { int mypid;
+
+ broadcast = false;
+ _my_pid(&mypid);
+ rvalue = MPI_Bcast(d,len,type,mypid,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ return;
+ }
+ rvalue = MPI_Send(d,len,type,target,REGULAR_STREAM_TAG,my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+}
+void NetStream::rcv (void* d, const int len, const NET_TYPE type, const int source)
+{ MPI_Status status;
+ int rvalue = MPI_SUCCESS, length=len;
+ if(pack_in_progress)
+ {
+// if(!pack_in && !pending_input_packet)
+// rvalue = MPI_Recv(packin_buffer, MAX_PACK_BUFFER_SIZE, NET_PACKED,
+// default_source, PACKED_STREAM_TAG, my_communicator, &status);
+ pack_in = true;
+ pending_input_packet = false;
+ assert(pack_out!=pack_in);
+ if(type==NET_CHAR)
+ rcv(&length,sizeof(NET_INT),NET_INT,source); // Gets the string length
+ else
+ length = 1;
+ rvalue = MPI_Unpack(packin_buffer, MAX_PACK_BUFFER_SIZE, &packin_index, d,
+ length, type, my_communicator);
+ assert(rvalue==MPI_SUCCESS);
+ return;
+ }
+
+ rvalue=MPI_Recv(d,len,type,source,REGULAR_STREAM_TAG,my_communicator,&status);
+ assert(status.MPI_ERROR==MPI_SUCCESS);
+ assert(rvalue==MPI_SUCCESS);
+}
+/////////////////////////////////////// GROUP MANAGEMENT ////////////////////////////////
+// Set the netstream to a new communicator
+void NetStream::set_communicator(NET_Comm comm)
+{
+ my_communicator = comm;
+}
+// Get the present communicator in this netstream
+NET_Comm NetStream::get_communicator(void)
+{
+ return my_communicator;
+}
+// Create a new group inside the present communicator
+NET_Comm NetStream::create_group(NET_Comm comm, int color, int key)
+{ int rvalue;
+ NET_Comm newcomm;
+ rvalue=MPI_Comm_split(comm,color,key,&newcomm);
+ assert(rvalue==MPI_SUCCESS);
+ return newcomm;
+}
+// Create a bridge between local and remote MATCHING call
+NET_Comm NetStream::create_inter_group(NET_Comm lcomm, int lrank, NET_Comm bcomm, int rrank, int strtype)
+{ int rvalue;
+ NET_Comm newcomm;
+ rvalue=MPI_Intercomm_create(lcomm,lrank,bcomm,rrank,strtype,&newcomm);
+ assert(rvalue==MPI_SUCCESS);
+ return newcomm;
+}
diff --git a/ProyectoFinal/CHC/malva/src/netstream.hh b/ProyectoFinal/CHC/malva/src/netstream.hh
new file mode 100644
index 0000000..5c24a3d
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/netstream.hh
@@ -0,0 +1,161 @@
+/***************************************************************************
+ *** netstream.cc ***
+ *** v1.6 - July 2001 ***
+ ** ***
+ *** v1.5 - March 2001 ***
+ *** v1.0 - November 2000 ***
+ *** ***
+ *** v1.5 extends v1.0: ***
+ *** .- Changes metods init() and finalize() to be static ***
+ *** .- Incorporates process group management ***
+ *** .- Do not consider LEDA anymore ***
+ *** .- Contains a method "int my_pid()" for easy invokations ***
+ *** .- Adds "unsigned" and "long double" input/output ***
+ *** ***
+ *** v1.6 extends v1.5: ***
+ ** .- Internal in/out buffers for packed separated ***
+ *** ***
+ *** Communication services for LAN/WAN use following the message ***
+ *** passing paradigm. ***
+ *** STREAM C++ VERSION ***
+ *** MPI implementation ***
+ *** Developed by Erique Alba ***
+ ***************************************************************************/
+#ifndef INC_netstream
+#define INC_netstream
+#include "mpi.h"
+#include <assert.h>
+#include <string.h>
+// Class NetStream allows to define and use network streams trhough LAN and WAN
+#define REGULAR_STREAM_TAG 0 // Used for tagging MPI regular messages
+#define PACKED_STREAM_TAG 1 // Used for tagging MPI packet messages
+#define NET_TYPE MPI_Datatype // Network allowable data types
+#define NET_BOOL MPI_CHAR // Bools like chars
+#define NET_CHAR MPI_CHAR
+#define NET_SHORT MPI_SHORT
+#define NET_INT MPI_INT
+#define NET_LONG MPI_LONG
+#define NET_UNSIGNED_CHAR MPI_UNSIGNED_CHAR
+#define NET_UNSIGNED_SHORT MPI_UNSIGNED_SHORT
+#define NET_UNSIGNED MPI_UNSIGNED
+#define NET_UNSIGNED_LONG MPI_UNSIGNED_LONG
+#define NET_FLOAT MPI_FLOAT
+#define NET_DOUBLE MPI_DOUBLE
+#define NET_LONG_DOUBLE MPI_LONG_DOUBLE
+#define NET_BYTE MPI_BYTE
+#define NET_PACKED MPI_PACKED
+#define NET_Comm MPI_Comm
+#define MAX_MSG_LENGTH 204800 // Max length of a message
+#define MAX_PACK_BUFFER_SIZE 204800 // Max length of a packed message
+// Help structure for manipulators having one int& argument
+class NetStream;
+struct smanip1c // "const int"
+{ NetStream& (*f)(NetStream&, const int); // The ONE argument function
+ int i; // The argument
+ smanip1c( NetStream&(*ff)(NetStream&,const int), int ii) : f(ff), i(ii) {} // Constuctor
+};
+struct smanip1 // "int*" note: references do not work! "int&"
+{ NetStream& (*f)(NetStream&, int*); // The ONE argument function
+ int* i; // The argument
+ smanip1( NetStream&(*ff)(NetStream&, int*), int* ii) : f(ff), i(ii) {} // Constuctor
+};
+// Tags for the available streams
+const int any = MPI_ANY_TAG; // Tag value valid for any stream
+const int regular = REGULAR_STREAM_TAG; // Tag value for regular stream of data
+const int packed = PACKED_STREAM_TAG; // Tag value for packed stream of data
+// Tags for sources
+const int any_source = MPI_ANY_SOURCE; // Tag value valid for any source
+class NetStream
+{
+ public:
+ NetStream (); // Default constructor
+ // Constructor with source integer left unchanged
+ NetStream (int, char **); // Init the communications
+ ~NetStream (); // Default destructor
+ static void init(int,char**); // Init the communication system. Invoke it only ONCE
+ static void finalize(void); // Shutdown the communication system. Invoke it ONCE
+ // GROUP management
+ void set_communicator(NET_Comm comm); // Set the netstream to a new communicator
+ NET_Comm get_communicator(void); // Get the present communicator in this netstream
+ static NET_Comm create_group(NET_Comm comm, int color, int key); // Create a new group inside the present communicator
+ // Create a bridge between local and remote MATCHING call
+ static NET_Comm create_inter_group(NET_Comm lcomm, int lrank, NET_Comm bcomm, int rrank, int strtrype);
+
+// BASIC INPUT SERVICES <comments> BASIC OUTPUT SERVICES
+// ============================================================================================================
+ NetStream& operator>> (bool& d); NetStream& operator<< (bool d);
+ NetStream& operator>> (char& d); NetStream& operator<< (char d);
+ NetStream& operator>> (short& d); NetStream& operator<< (short d);
+ NetStream& operator>> (int& d); NetStream& operator<< (int d);
+ NetStream& operator>> (long& d); NetStream& operator<< (long d);
+ NetStream& operator>> (float& d); NetStream& operator<< (float d);
+ NetStream& operator>> (double& d); NetStream& operator<< (double d);
+ NetStream& operator>> (char* d); /*NULL terminated*/ NetStream& operator<< (char* d);
+ NetStream& operator>> (void* d); /*NULL terminated*/ NetStream& operator<< (void* d);
+ // Extended data types from version 1.5 on
+ NetStream& operator>> (unsigned char& d); NetStream& operator<< (unsigned char d);
+ NetStream& operator>> (unsigned short int& d); NetStream& operator<< (unsigned short int d);
+ NetStream& operator>> (unsigned int& d); NetStream& operator<< (unsigned int d);
+ NetStream& operator>> (unsigned long int& d); NetStream& operator<< (unsigned long int d);
+ NetStream& operator>> (long double& d); NetStream& operator<< (long double d);
+ int pnumber(void); // Returns the number of processes
+ bool broadcast; // Determines whether the next sent message is for broadcasting
+ // Input MANIPULATORS for modifying the behavior of the channel on the fly
+ // NO ARGUMENTS
+ NetStream& operator<< (NetStream& (*f)(NetStream& n)) { return f(*this); } // NO arguments
+ NetStream& _barrier(void); // Sit and wait until all processes are in barrier
+ NetStream& _pack_begin(void); // Marks the beginning of a packed information
+ NetStream& _pack_end(void); // Marks the end of a packed and flush it to the net
+ NetStream& _probe(const int stream_type, int& pending); // Check whether there are awaiting data
+ NetStream& _broadcast(void); // Broadcast a message to all the processes
+ // ONE ARGUMENT
+ // "const int"
+ NetStream& operator<< (smanip1c m) { return m.f((*this),m.i); }// ONE int& argument constant
+ // "int*"
+ NetStream& operator<< (smanip1 m) { return m.f((*this),m.i); }// ONE int& argument
+ // BASIC CLASS METHODS FOR MANIPULATORS
+ NetStream& _my_pid(int* pid); // Returns the process ID of the calling process
+ NetStream& _wait(const int stream_type); // Wait for an incoming message in the specified stream
+ NetStream& _wait2(const int stream_type, int& tipo);
+ NetStream& _set_target(const int p); // Stablish "p" as the default receiver
+ NetStream& _get_target(int* p); // Get into "p" the default receiver
+ NetStream& _set_source(const int p); // Stablish "p" as the default transmitter
+ NetStream& _get_source(int* p); // Get into "p" the default transmitter
+ // AUXILIAR PUBLIC METHODS FOR ALLOWING EASY MANAGEMENTS OF NETSTREAMS
+ int my_pid(void); // Returns the process ID of the calling process
+ private:
+ int default_target, default_source; // Default process IDs to send-recv data to-from
+ bool pack_in_progress; // Defines whether a packet is being defined with "pack_begin-pack_end"
+ int packin_index; // Index to be used for extracting from a IN packed message - v1.6
+ int packout_index; // Index to be used for adding to an OUT packed message - v1.6
+ int pending_input_packet;//Is there a pending packet already read into the IN buffer? - v1.6
+ char* packin_buffer; // Buffer to temporary storage of the IN packed being defined - v1.6
+ char* packout_buffer; // Buffer to temporary storage of the OUT packed being defined - v1.6
+ bool pack_in, pack_out; // Define whether input-output packed message is being used
+ void reset(void); // Reset member variables of this class
+ NET_Comm my_communicator; // Communicator of this netstream
+ void send(void* d, const int len, const NET_TYPE type, const int target);
+ void rcv (void* d, const int len, const NET_TYPE type, const int source);
+}; // class NetStream
+ // MANIPULATORS (must be static or non-member methods in C++ -mpiCC only allows non-member!-)
+ // NO ARGUMENTS
+ NetStream& barrier(NetStream& n); // Sit and wait until all processes are in barrier
+ NetStream& broadcast(NetStream& n); // Broadcast a message to all the processes
+ NetStream& pack_begin(NetStream& n); // Marks the beginning of a packed information
+ NetStream& pack_end(NetStream& n); // Marks the end of a packed and flush it to the net
+ // ONE ARGUMENT
+ NetStream& __my_pid(NetStream& n, int* pid); // Returns the process ID of the calling process
+ inline smanip1 my_pid(int* pid){ return smanip1(__my_pid,pid); } // manipulator
+ NetStream& __wait(NetStream& n, const int stream_type);// Wait for an incoming message - helper
+ inline smanip1c wait(const int stream_type){ return smanip1c(__wait,stream_type); } // manipulator
+ NetStream& __set_target(NetStream& n, const int p); // Stablish "p" as the default receiver
+ inline smanip1c set_target(const int p){ return smanip1c(__set_target,p); } // manipulator
+ NetStream& __get_target(NetStream& n, int* p); // Get into "p" the default receiver
+ inline smanip1 get_target(int* p){ return smanip1(__get_target,p); } // manipulator
+ NetStream& __set_source(NetStream& n, const int p); // Stablish "p" as the default transmitter
+ inline smanip1c set_source(const int p){ return smanip1c(__set_source,p); } // manipulator
+ NetStream& __get_source(NetStream& n, int* p); // Get into "p" the default transmitter
+ inline smanip1 get_source(int* p){ return smanip1(__get_source,p); } // manipulator
+ // TWO ARGUMENTS - not used yet
+ NetStream& probe(NetStream& n, const int stream_type, int& pending); // Check whether there are awaiting data
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/netstream.o b/ProyectoFinal/CHC/malva/src/netstream.o
new file mode 100644
index 0000000000000000000000000000000000000000..fb40ece360fb739d83d40beffbf1b01c031a15aa
GIT binary patch
literal 18752
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HcmV?d00001
diff --git a/ProyectoFinal/CHC/malva/src/random.hh b/ProyectoFinal/CHC/malva/src/random.hh
new file mode 100644
index 0000000..ae6bde6
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/random.hh
@@ -0,0 +1,50 @@
+/******************************************************************************
+*** ***
+*** Este fichero contiene funciones (en general inlines) para generar núme- ***
+*** ros aleatorios y otras funciones relacionadas con ello ***
+*** ***
+*******************************************************************************/
+
+#ifndef INC_random_hh
+#define INC_random_hh
+
+#include <stdlib.h>
+
+
+inline double undefined ()
+{
+ double zero = 0;
+ return zero/zero;
+}
+
+// Returns a valeu greater than any other
+inline double infinity ()
+{
+ double one=1.0;
+ double zero=0.0;
+ return one/zero;
+}
+
+// Returns a random number in [0,1].
+inline double rand01 ()
+{
+ return drand48();
+}
+
+// Returns a random number
+inline int rand_int (float min,float max)
+{
+ int value=rand();
+ int range= (int)(max - min);
+ int order = value % (range+1);
+ return ((int)min + order);
+}
+
+// selects a seed
+inline void random_seed(long int seed)
+{
+ srand48(seed);
+ srand(seed);
+}
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/src/time.hh b/ProyectoFinal/CHC/malva/src/time.hh
new file mode 100644
index 0000000..088f4d5
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/src/time.hh
@@ -0,0 +1,43 @@
+/******************************************************************************
+*** ***
+*** Este fichero incluye algunas funciones útiles para la medicion de tiem- ***
+*** pos. ***
+*** ***
+******************************************************************************/
+
+#ifndef INC_time_hh
+#define INC_time_hh
+
+#define MAXTIME 4294
+
+#include <time.h>
+#include <sys/time.h>
+#include <unistd.h>
+
+// return time in microseconds
+inline float _used_time()
+{
+ struct timeval tv ;
+ static long tiempo = -1;
+ float u_clock;
+
+ gettimeofday(&tv,NULL);
+
+ if(tiempo < 0) tiempo = tv.tv_sec;
+
+ u_clock = ((float)(tv.tv_sec - tiempo)*1000000.0) + ((float)tv.tv_usec);
+ return u_clock;
+
+}
+
+
+inline float _used_time(float time)
+{
+ float dif=_used_time() - time;
+ if (dif<0) dif = 0;
+ return dif;
+}
+
+
+
+#endif
diff --git a/ProyectoFinal/CHC/malva/stat/file_stat_aco b/ProyectoFinal/CHC/malva/stat/file_stat_aco
new file mode 100644
index 0000000..8426ce4
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/stat/file_stat_aco
@@ -0,0 +1,12 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.worse_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.iter
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $7}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/CHC/malva/stat/file_stat_pop b/ProyectoFinal/CHC/malva/stat/file_stat_pop
new file mode 100644
index 0000000..8512575
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/stat/file_stat_pop
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.worse_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.eval
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.iter
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $7}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/CHC/malva/stat/file_stat_pso b/ProyectoFinal/CHC/malva/stat/file_stat_pso
new file mode 100644
index 0000000..672f857
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/stat/file_stat_pso
@@ -0,0 +1,12 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.worse_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $4}' > $1.iter
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/CHC/malva/stat/file_stat_sa b/ProyectoFinal/CHC/malva/stat/file_stat_sa
new file mode 100644
index 0000000..d006462
--- /dev/null
+++ b/ProyectoFinal/CHC/malva/stat/file_stat_sa
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+lines=`cat $1 | wc -l`
+head_op=$(($lines - 1))
+tail_op=$(($head_op - 5))
+
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $2}' > $1.best_fit
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $3}' > $1.eval
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $4}' > $1.init_temp
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $5}' > $1.best_temp
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $6}' > $1.time
+head -n $head_op $1 | tail -n $tail_op | gawk '{print $7}' > $1.total_time
+echo $tail_op > $1.num_exec
diff --git a/ProyectoFinal/CHC/malva/uml-comun.gif b/ProyectoFinal/CHC/malva/uml-comun.gif
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--
GitLab