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noinst_PROGRAMS = Sch1
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Sch1_SOURCES = Sch1.cpp
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LDADD = -L$(top_builddir)/src ${EO_DIR}/src/libeo.a ${EO_DIR}/src/utils/libeoutils.a
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INCLUDES = -I${EO_DIR}/src/ -I$(top_srcdir)/src
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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/* (c) OPAC Team, LIFL, October 2006
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Contact: paradiseo-help@lists.gforge.inria.fr
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*/
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using namespace std;
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#include <stdio.h>
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/* ParadisEO-EO */
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#include <eo>
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#include <es.h>
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/* ParadisEO-MOEO */
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#include <moeoNSGA_II.h>
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#include <moeoArchive.h>
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// Extend eoParetoFitnessTraits
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class SCH1Traits : public eoParetoFitnessTraits
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{
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public :
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static bool maximizing(int i) { return false; } // is the i-th objective
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static unsigned nObjectives() { return 2;} // number of objectives
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};
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// Code decision variables
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typedef eoParetoFitness<SCH1Traits> SCH1Fit;
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class SCH1EO : public eoReal<SCH1Fit>
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{
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public:
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SCH1EO(): eoReal<SCH1Fit>(1)
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{}
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};
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// evaluation of the individuals
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class SCH1Eval : public eoEvalFunc<SCH1EO>
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{
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public:
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SCH1Eval(): eoEvalFunc<SCH1EO>()
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{}
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void operator()(SCH1EO & _eo) {
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SCH1Fit fitness;
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double x = _eo[0];
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fitness[0] = x*x;
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fitness[1] = (x-2.0)*(x-2.0);
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_eo.fitness(fitness);
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}
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};
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int main(int argc, char* argv[]) {
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unsigned POP_SIZE = 20;
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unsigned 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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// The fitness evaluation
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SCH1Eval eval;
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// choose crossover and mutation
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eoQuadCloneOp<SCH1EO> xover;
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eoUniformMutation<SCH1EO> mutation(M_EPSILON);
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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<SCH1EO> init(bounds);
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eoPop<SCH1EO> pop(POP_SIZE, init);
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// pass parameters to NSGA2
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moeoNSGA_II<SCH1EO> nsga2(MAX_GEN, eval, xover, P_CROSS, mutation, P_MUT);
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// run the algo
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nsga2(pop);
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// extract first front of the final population (this is the solution of nsga2)
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moeoArchive<SCH1EO> arch;
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arch.update(pop);
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// printing of the final archive
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cout << "Final Archive\n";
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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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