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update lesson2 new version

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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@269 331e1502-861f-0410-8da2-ba01fb791d7f
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liefooga 2007-04-17 15:58:10 +00:00
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trunk/paradiseo-moeo/tutorials/lesson2/Sch1.cpp
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// Sch1.cpp
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
using namespace std;
#include <stdio.h>
/* ParadisEO-EO */
#include <eo>
#include <es.h>
/* ParadisEO-MOEO */
#include <moeoNSGA_II.h>
#include <moeoArchive.h>
// Extend eoParetoFitnessTraits
class SCH1Traits:public eoParetoFitnessTraits
{
public:static bool maximizing (int i)
{
return false;
} // is the i-th objective
static unsigned nObjectives ()
{
return 2;
} // number of objectives
};
// Code decision variables
typedef eoParetoFitness < SCH1Traits > SCH1Fit;
class SCH1EO:public eoReal < SCH1Fit >
{
public:
SCH1EO ():eoReal < SCH1Fit > (1)
{
}
};
// evaluation of the individuals
class SCH1Eval:public eoEvalFunc < SCH1EO >
{
public:
SCH1Eval ():eoEvalFunc < SCH1EO > ()
{
}
void operator () (SCH1EO & _eo)
{
SCH1Fit fitness;
double x = _eo[0];
fitness[0] = x * x;
fitness[1] = (x - 2.0) * (x - 2.0);
_eo.fitness (fitness);
}
};
int
main (int argc, char *argv[])
{
unsigned POP_SIZE = 20;
unsigned MAX_GEN = 100;
double M_EPSILON = 0.01;
double P_CROSS = 0.25;
double P_MUT = 0.35;
// The fitness evaluation
SCH1Eval eval;
// choose crossover and mutation
eoQuadCloneOp < SCH1EO > xover;
eoUniformMutation < SCH1EO > mutation (M_EPSILON);
// generate initial population
eoRealVectorBounds bounds (1, 0.0, 2.0); // [0, 2]
eoRealInitBounded < SCH1EO > init (bounds);
eoPop < SCH1EO > pop (POP_SIZE, init);
// pass parameters to NSGA2
moeoNSGA_II < SCH1EO > nsga2 (MAX_GEN, eval, xover, P_CROSS, mutation,
P_MUT);
// run the algo
nsga2 (pop);
// extract first front of the final population (this is the solution of nsga2)
moeoArchive < SCH1EO > arch;
arch.update (pop);
// printing of the final archive
cout << "Final Archive\n";
arch.sortedPrintOn (cout);
cout << endl;
return EXIT_SUCCESS;
}