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
######################################################################################

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