add param file to Lesson1
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@962 331e1502-861f-0410-8da2-ba01fb791d7f
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3 changed files with 82 additions and 46 deletions
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@ -1,4 +1,20 @@
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######################################################################################
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### 0) Copy the Sch1.param file in the build path for an easy use.
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######################################################################################
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ADD_CUSTOM_TARGET(install DEPENDS ${ParadisEO-MOEO_SOURCE_DIR}/tutorial/Lesson1/Sch1.param)
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ADD_CUSTOM_COMMAND(
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TARGET install
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POST_BUILD
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COMMAND ${CMAKE_COMMAND}
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ARGS -E copy_if_different
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${ParadisEO-MOEO_SOURCE_DIR}/tutorial/Lesson1/Sch1.param
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${ParadisEO-MOEO_BINARY_DIR}/tutorial/Lesson1)
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######################################################################################
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######################################################################################
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### 1) Include the sources
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######################################################################################
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@ -3,7 +3,7 @@
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Abdelhakim Deneche
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* Abdelhakim Deneche, Arnaud Liefooghe
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*
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* This software is governed by the CeCILL license under French law and
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* abiding by the rules of distribution of free software. You can use,
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@ -44,21 +44,21 @@ using namespace std;
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// the moeoObjectiveVectorTraits : minimizing 2 objectives
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class Sch1ObjectiveVectorTraits : public moeoObjectiveVectorTraits
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{
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public:
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{
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public:
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static bool minimizing (int i)
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{
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return true;
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return true;
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}
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static bool maximizing (int i)
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{
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return false;
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return false;
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}
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static unsigned int nObjectives ()
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{
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return 2;
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return 2;
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}
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};
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};
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// objective vector of real values
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@ -67,67 +67,73 @@ typedef moeoRealObjectiveVector < Sch1ObjectiveVectorTraits > Sch1ObjectiveVecto
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// multi-objective evolving object for the Sch1 problem
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class Sch1 : public moeoRealVector < Sch1ObjectiveVector, double, double >
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{
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public:
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{
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public:
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Sch1() : moeoRealVector < Sch1ObjectiveVector, double, double > (1)
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{}
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};
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};
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// evaluation of objective functions
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class Sch1Eval : public moeoEvalFunc < Sch1 >
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{
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public:
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{
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public:
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void operator () (Sch1 & _sch1)
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{
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if (_sch1.invalidObjectiveVector())
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if (_sch1.invalidObjectiveVector())
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{
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Sch1ObjectiveVector objVec;
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double x = _sch1[0];
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objVec[0] = x * x;
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objVec[1] = (x - 2.0) * (x - 2.0);
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_sch1.objectiveVector(objVec);
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Sch1ObjectiveVector objVec;
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double x = _sch1[0];
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objVec[0] = x * x;
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objVec[1] = (x - 2.0) * (x - 2.0);
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_sch1.objectiveVector(objVec);
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}
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}
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};
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};
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// main
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int main (int argc, char *argv[])
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{
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// parameters
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unsigned int POP_SIZE = 20;
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unsigned int MAX_GEN = 100;
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double M_EPSILON = 0.01;
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double P_CROSS = 0.25;
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double P_MUT = 0.35;
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eoParser parser(argc, argv); // for user-parameter reading
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eoState state; // to keep all things allocated
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// objective functions evaluation
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Sch1Eval eval;
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// parameters
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unsigned int POP_SIZE = parser.createParam((unsigned int)(100), "popSize", "Population size",'P',"Param").value();
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unsigned int MAX_GEN = parser.createParam((unsigned int)(100), "maxGen", "Maximum number of generations",'G',"Param").value();
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double M_EPSILON = parser.createParam(0.01, "mutEpsilon", "epsilon for mutation",'e',"Param").value();
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double P_CROSS = parser.createParam(0.25, "pCross", "Crossover probability",'C',"Param").value();
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double P_MUT = parser.createParam(0.35, "pMut", "Mutation probability",'M',"Param").value();
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// crossover and mutation
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eoQuadCloneOp < Sch1 > xover;
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eoUniformMutation < Sch1 > mutation (M_EPSILON);
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// objective functions evaluation
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Sch1Eval eval;
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// generate initial population
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eoRealVectorBounds bounds (1, 0.0, 2.0); // [0, 2]
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eoRealInitBounded < Sch1 > init (bounds);
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eoPop < Sch1 > pop (POP_SIZE, init);
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// crossover and mutation
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eoQuadCloneOp < Sch1 > xover;
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eoUniformMutation < Sch1 > mutation (M_EPSILON);
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// build NSGA-II
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moeoNSGAII < Sch1 > nsgaII (MAX_GEN, eval, xover, P_CROSS, mutation, P_MUT);
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// generate initial population
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eoRealVectorBounds bounds (1, 0.0, 2.0); // [0, 2]
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eoRealInitBounded < Sch1 > init (bounds);
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eoPop < Sch1 > pop (POP_SIZE, init);
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// run the algo
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nsgaII (pop);
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// build NSGA-II
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moeoNSGAII < Sch1 > nsgaII (MAX_GEN, eval, xover, P_CROSS, mutation, P_MUT);
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// extract first front of the final population using an moeoArchive (this is the output of nsgaII)
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moeoArchive < Sch1 > arch;
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arch.update (pop);
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// help ?
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make_help(parser);
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// printing of the final archive
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cout << "Final Archive" << endl;
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arch.sortedPrintOn (cout);
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cout << endl;
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// run the algo
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nsgaII (pop);
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return EXIT_SUCCESS;
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// extract first front of the final population using an moeoArchive (this is the output of nsgaII)
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moeoArchive < Sch1 > arch;
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arch.update (pop);
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// printing of the final archive
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cout << "Final Archive" << endl;
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arch.sortedPrintOn (cout);
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cout << endl;
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return EXIT_SUCCESS;
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}
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14
trunk/paradiseo-moeo/tutorial/Lesson1/Sch1.param
Normal file
14
trunk/paradiseo-moeo/tutorial/Lesson1/Sch1.param
Normal file
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@ -0,0 +1,14 @@
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###### General ######
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# --help=0 # -h : Prints this message
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# --stopOnUnknownParam=1 # Stop if unkown param entered
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###### Param ######
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--popSize=100 # -P : Population size
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--maxGen=100 # -G : Maximum number of generations
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--mutEpsilon=0.01 # -e : epsilon for mutation
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--pCross=0.25 # -C : Crossover probability
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--pMut=0.35 # -M : Mutation probability
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###### Persistence ######
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# --status=./Sch1.status # Status file
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