add param file to Lesson1

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@962 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
liefooga 2008-02-15 13:46:53 +00:00
commit dd481ffdd2
3 changed files with 82 additions and 46 deletions

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@ -1,4 +1,20 @@
######################################################################################
### 0) Copy the Sch1.param file in the build path for an easy use.
######################################################################################
ADD_CUSTOM_TARGET(install DEPENDS ${ParadisEO-MOEO_SOURCE_DIR}/tutorial/Lesson1/Sch1.param)
ADD_CUSTOM_COMMAND(
TARGET install
POST_BUILD
COMMAND ${CMAKE_COMMAND}
ARGS -E copy_if_different
${ParadisEO-MOEO_SOURCE_DIR}/tutorial/Lesson1/Sch1.param
${ParadisEO-MOEO_BINARY_DIR}/tutorial/Lesson1)
######################################################################################
###################################################################################### ######################################################################################
### 1) Include the sources ### 1) Include the sources
###################################################################################### ######################################################################################

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@ -3,7 +3,7 @@
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007 * Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007 * (C) OPAC Team, LIFL, 2002-2007
* *
* Abdelhakim Deneche * Abdelhakim Deneche, Arnaud Liefooghe
* *
* This software is governed by the CeCILL license under French law and * This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use, * abiding by the rules of distribution of free software. You can use,
@ -44,21 +44,21 @@ using namespace std;
// the moeoObjectiveVectorTraits : minimizing 2 objectives // the moeoObjectiveVectorTraits : minimizing 2 objectives
class Sch1ObjectiveVectorTraits : public moeoObjectiveVectorTraits class Sch1ObjectiveVectorTraits : public moeoObjectiveVectorTraits
{ {
public: public:
static bool minimizing (int i) static bool minimizing (int i)
{ {
return true; return true;
} }
static bool maximizing (int i) static bool maximizing (int i)
{ {
return false; return false;
} }
static unsigned int nObjectives () static unsigned int nObjectives ()
{ {
return 2; return 2;
} }
}; };
// objective vector of real values // objective vector of real values
@ -67,67 +67,73 @@ typedef moeoRealObjectiveVector < Sch1ObjectiveVectorTraits > Sch1ObjectiveVecto
// multi-objective evolving object for the Sch1 problem // multi-objective evolving object for the Sch1 problem
class Sch1 : public moeoRealVector < Sch1ObjectiveVector, double, double > class Sch1 : public moeoRealVector < Sch1ObjectiveVector, double, double >
{ {
public: public:
Sch1() : moeoRealVector < Sch1ObjectiveVector, double, double > (1) Sch1() : moeoRealVector < Sch1ObjectiveVector, double, double > (1)
{} {}
}; };
// evaluation of objective functions // evaluation of objective functions
class Sch1Eval : public moeoEvalFunc < Sch1 > class Sch1Eval : public moeoEvalFunc < Sch1 >
{ {
public: public:
void operator () (Sch1 & _sch1) void operator () (Sch1 & _sch1)
{ {
if (_sch1.invalidObjectiveVector()) if (_sch1.invalidObjectiveVector())
{ {
Sch1ObjectiveVector objVec; Sch1ObjectiveVector objVec;
double x = _sch1[0]; double x = _sch1[0];
objVec[0] = x * x; objVec[0] = x * x;
objVec[1] = (x - 2.0) * (x - 2.0); objVec[1] = (x - 2.0) * (x - 2.0);
_sch1.objectiveVector(objVec); _sch1.objectiveVector(objVec);
} }
} }
}; };
// main // main
int main (int argc, char *argv[]) int main (int argc, char *argv[])
{ {
// parameters eoParser parser(argc, argv); // for user-parameter reading
unsigned int POP_SIZE = 20; eoState state; // to keep all things allocated
unsigned int MAX_GEN = 100;
double M_EPSILON = 0.01;
double P_CROSS = 0.25;
double P_MUT = 0.35;
// objective functions evaluation // parameters
Sch1Eval eval; unsigned int POP_SIZE = parser.createParam((unsigned int)(100), "popSize", "Population size",'P',"Param").value();
unsigned int MAX_GEN = parser.createParam((unsigned int)(100), "maxGen", "Maximum number of generations",'G',"Param").value();
double M_EPSILON = parser.createParam(0.01, "mutEpsilon", "epsilon for mutation",'e',"Param").value();
double P_CROSS = parser.createParam(0.25, "pCross", "Crossover probability",'C',"Param").value();
double P_MUT = parser.createParam(0.35, "pMut", "Mutation probability",'M',"Param").value();
// crossover and mutation // objective functions evaluation
eoQuadCloneOp < Sch1 > xover; Sch1Eval eval;
eoUniformMutation < Sch1 > mutation (M_EPSILON);
// generate initial population // crossover and mutation
eoRealVectorBounds bounds (1, 0.0, 2.0); // [0, 2] eoQuadCloneOp < Sch1 > xover;
eoRealInitBounded < Sch1 > init (bounds); eoUniformMutation < Sch1 > mutation (M_EPSILON);
eoPop < Sch1 > pop (POP_SIZE, init);
// build NSGA-II // generate initial population
moeoNSGAII < Sch1 > nsgaII (MAX_GEN, eval, xover, P_CROSS, mutation, P_MUT); eoRealVectorBounds bounds (1, 0.0, 2.0); // [0, 2]
eoRealInitBounded < Sch1 > init (bounds);
eoPop < Sch1 > pop (POP_SIZE, init);
// run the algo // build NSGA-II
nsgaII (pop); moeoNSGAII < Sch1 > nsgaII (MAX_GEN, eval, xover, P_CROSS, mutation, P_MUT);
// extract first front of the final population using an moeoArchive (this is the output of nsgaII) // help ?
moeoArchive < Sch1 > arch; make_help(parser);
arch.update (pop);
// printing of the final archive // run the algo
cout << "Final Archive" << endl; nsgaII (pop);
arch.sortedPrintOn (cout);
cout << endl;
return EXIT_SUCCESS; // extract first front of the final population using an moeoArchive (this is the output of nsgaII)
moeoArchive < Sch1 > arch;
arch.update (pop);
// printing of the final archive
cout << "Final Archive" << endl;
arch.sortedPrintOn (cout);
cout << endl;
return EXIT_SUCCESS;
} }

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@ -0,0 +1,14 @@
###### General ######
# --help=0 # -h : Prints this message
# --stopOnUnknownParam=1 # Stop if unkown param entered
###### Param ######
--popSize=100 # -P : Population size
--maxGen=100 # -G : Maximum number of generations
--mutEpsilon=0.01 # -e : epsilon for mutation
--pCross=0.25 # -C : Crossover probability
--pMut=0.35 # -M : Mutation probability
###### Persistence ######
# --status=./Sch1.status # Status file