update lesson2 new version
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trunk/paradiseo-moeo/tutorials/lesson2/Sch1
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trunk/paradiseo-moeo/tutorials/lesson2/Sch1
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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; -*-
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//-----------------------------------------------------------------------------
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// Sch1.cpp
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// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
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/*
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This library...
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Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
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*/
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//-----------------------------------------------------------------------------
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using namespace std;
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#include <stdio.h>
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#include <moeo>
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#include <es/eoRealInitBounded.h>
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#include <es/eoRealOp.h>
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#include <moeoObjectiveVectorTraits.h>
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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:static bool minimizing (int i)
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{
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return true;
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}
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static unsigned nObjectives ()
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{
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return 2;
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}
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};
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// objective vector of doubles
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typedef moeoObjectiveVectorDouble < Sch1ObjectiveVectorTraits > Sch1ObjectiveVector;
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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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Sch1() : moeoRealVector < Sch1ObjectiveVector, double, double > (1) {}
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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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void operator () (Sch1 & _sch1)
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{
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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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}
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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 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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// objective functions evaluation
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Sch1Eval eval;
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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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// 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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// build NSGA-II
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moeoNSGAII < Sch1 > nsgaII (MAX_GEN, eval, xover, P_CROSS, mutation, P_MUT);
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// run the algo
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nsgaII (pop);
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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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