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moeo/src/do/make_ea_moeo.h
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297
moeo/src/do/make_ea_moeo.h
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/*
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* <make_ea_moeo.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Arnaud Liefooghe
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*
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* This software is governed by the CeCILL license under French law and
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* abiding by the rules of distribution of free software. You can use,
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* modify and/ or redistribute the software under the terms of the CeCILL
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* license as circulated by CEA, CNRS and INRIA at the following URL
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* "http://www.cecill.info".
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*
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* As a counterpart to the access to the source code and rights to copy,
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* modify and redistribute granted by the license, users are provided only
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* with a limited warranty and the software's author, the holder of the
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* economic rights, and the successive licensors have only limited liability.
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*
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* In this respect, the user's attention is drawn to the risks associated
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* with loading, using, modifying and/or developing or reproducing the
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* software by the user in light of its specific status of free software,
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* that may mean that it is complicated to manipulate, and that also
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* therefore means that it is reserved for developers and experienced
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* professionals having in-depth computer knowledge. Users are therefore
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* encouraged to load and test the software's suitability as regards their
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* requirements in conditions enabling the security of their systems and/or
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* data to be ensured and, more generally, to use and operate it in the
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* same conditions as regards security.
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* The fact that you are presently reading this means that you have had
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* knowledge of the CeCILL license and that you accept its terms.
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*
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* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
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* Contact: paradiseo-help@lists.gforge.inria.fr
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*
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*/
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//-----------------------------------------------------------------------------
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#ifndef MAKE_EA_MOEO_H_
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#define MAKE_EA_MOEO_H_
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#include <stdlib.h>
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#include <eoContinue.h>
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#include <eoEvalFunc.h>
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#include <eoGeneralBreeder.h>
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#include <eoGenOp.h>
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#include <utils/eoParser.h>
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#include <utils/eoState.h>
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#include <algo/moeoEA.h>
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#include <algo/moeoEasyEA.h>
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#include <archive/moeoArchive.h>
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#include <comparator/moeoAggregativeComparator.h>
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#include <comparator/moeoComparator.h>
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#include <comparator/moeoDiversityThenFitnessComparator.h>
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#include <comparator/moeoFitnessThenDiversityComparator.h>
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#include <diversity/moeoDiversityAssignment.h>
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#include <diversity/moeoDummyDiversityAssignment.h>
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#include <diversity/moeoFrontByFrontCrowdingDiversityAssignment.h>
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#include <diversity/moeoFrontByFrontSharingDiversityAssignment.h>
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#include <fitness/moeoDummyFitnessAssignment.h>
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#include <fitness/moeoExpBinaryIndicatorBasedFitnessAssignment.h>
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#include <fitness/moeoDominanceDepthFitnessAssignment.h>
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#include <fitness/moeoFitnessAssignment.h>
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#include <metric/moeoAdditiveEpsilonBinaryMetric.h>
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#include <metric/moeoHypervolumeBinaryMetric.h>
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#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
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#include <replacement/moeoElitistReplacement.h>
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#include <replacement/moeoEnvironmentalReplacement.h>
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#include <replacement/moeoGenerationalReplacement.h>
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#include <replacement/moeoReplacement.h>
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#include <selection/moeoDetTournamentSelect.h>
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#include <selection/moeoRandomSelect.h>
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#include <selection/moeoStochTournamentSelect.h>
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#include <selection/moeoSelectOne.h>
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#include <selection/moeoSelectors.h>
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/**
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* This functions allows to build a moeoEA from the parser
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* @param _parser the parser
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* @param _state to store allocated objects
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* @param _eval the funtions evaluator
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* @param _continue the stopping crietria
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* @param _op the variation operators
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* @param _archive the archive of non-dominated solutions
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*/
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template < class MOEOT >
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moeoEA < MOEOT > & do_make_ea_moeo(eoParser & _parser, eoState & _state, eoEvalFunc < MOEOT > & _eval, eoContinue < MOEOT > & _continue, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT > & _archive)
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{
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/* the objective vector type */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/* the fitness assignment strategy */
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std::string & fitnessParam = _parser.createParam(std::string("DomDepth"), "fitness",
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"Fitness assignment scheme: Dummy, DomDepth or IndicatorBased", 'F',
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"Evolution Engine").value();
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std::string & indicatorParam = _parser.createParam(std::string("Epsilon"), "indicator",
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"Binary indicator for IndicatorBased: Epsilon, Hypervolume", 'i',
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"Evolution Engine").value();
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double rho = _parser.createParam(1.1, "rho", "reference point for the hypervolume indicator", '\0',
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"Evolution Engine").value();
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double kappa = _parser.createParam(0.05, "kappa", "Scaling factor kappa for IndicatorBased", 'k',
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"Evolution Engine").value();
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moeoFitnessAssignment < MOEOT > * fitnessAssignment;
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if (fitnessParam == std::string("Dummy"))
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{
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fitnessAssignment = new moeoDummyFitnessAssignment < MOEOT> ();
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}
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else if (fitnessParam == std::string("DomDepth"))
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{
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fitnessAssignment = new moeoDominanceDepthFitnessAssignment < MOEOT> ();
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}
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else if (fitnessParam == std::string("IndicatorBased"))
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{
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// metric
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moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > *metric;
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if (indicatorParam == std::string("Epsilon"))
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{
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metric = new moeoAdditiveEpsilonBinaryMetric < ObjectiveVector >;
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}
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else if (indicatorParam == std::string("Hypervolume"))
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{
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metric = new moeoHypervolumeBinaryMetric < ObjectiveVector > (rho);
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}
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else
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{
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std::string stmp = std::string("Invalid binary quality indicator: ") + indicatorParam;
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throw std::runtime_error(stmp.c_str());
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}
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fitnessAssignment = new moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT > (*metric, kappa);
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}
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else
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{
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std::string stmp = std::string("Invalid fitness assignment strategy: ") + fitnessParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(fitnessAssignment);
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/* the diversity assignment strategy */
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eoValueParam<eoParamParamType> & diversityParam = _parser.createParam(eoParamParamType("Dummy"), "diversity",
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"Diversity assignment scheme: Dummy, Sharing(nicheSize) or Crowding", 'D', "Evolution Engine");
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eoParamParamType & diversityParamValue = diversityParam.value();
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moeoDiversityAssignment < MOEOT > * diversityAssignment;
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if (diversityParamValue.first == std::string("Dummy"))
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{
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diversityAssignment = new moeoDummyDiversityAssignment < MOEOT> ();
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}
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else if (diversityParamValue.first == std::string("Sharing"))
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{
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double nicheSize;
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if (!diversityParamValue.second.size()) // no parameter added
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{
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std::cerr << "WARNING, no niche size given for Sharing, using 0.5" << std::endl;
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nicheSize = 0.5;
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diversityParamValue.second.push_back(std::string("0.5"));
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}
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else
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{
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nicheSize = atoi(diversityParamValue.second[0].c_str());
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}
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diversityAssignment = new moeoFrontByFrontSharingDiversityAssignment < MOEOT> (nicheSize);
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}
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else if (diversityParamValue.first == std::string("Crowding"))
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{
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diversityAssignment = new moeoFrontByFrontCrowdingDiversityAssignment < MOEOT> ();
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}
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else
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{
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std::string stmp = std::string("Invalid diversity assignment strategy: ") + diversityParamValue.first;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(diversityAssignment);
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/* the comparator strategy */
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std::string & comparatorParam = _parser.createParam(std::string("FitnessThenDiversity"), "comparator",
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"Comparator scheme: FitnessThenDiversity, DiversityThenFitness or Aggregative", 'c', "Evolution Engine").value();
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moeoComparator < MOEOT > * comparator;
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if (comparatorParam == std::string("FitnessThenDiversity"))
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{
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comparator = new moeoFitnessThenDiversityComparator < MOEOT> ();
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}
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else if (comparatorParam == std::string("DiversityThenFitness"))
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{
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comparator = new moeoDiversityThenFitnessComparator < MOEOT> ();
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}
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else if (comparatorParam == std::string("Aggregative"))
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{
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comparator = new moeoAggregativeComparator < MOEOT> ();
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}
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else
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{
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std::string stmp = std::string("Invalid comparator strategy: ") + comparatorParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(comparator);
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/* the selection strategy */
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eoValueParam < eoParamParamType > & selectionParam = _parser.createParam(eoParamParamType("DetTour(2)"), "selection",
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"Selection scheme: DetTour(T), StochTour(t) or Random", 'S', "Evolution Engine");
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eoParamParamType & ppSelect = selectionParam.value();
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moeoSelectOne < MOEOT > * select;
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if (ppSelect.first == std::string("DetTour"))
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{
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unsigned int tSize;
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if (!ppSelect.second.size()) // no parameter added
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{
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std::cerr << "WARNING, no parameter passed to DetTour, using 2" << std::endl;
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tSize = 2;
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// put back 2 in parameter for consistency (and status file)
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ppSelect.second.push_back(std::string("2"));
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}
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else // parameter passed by user as DetTour(T)
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{
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tSize = atoi(ppSelect.second[0].c_str());
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}
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select = new moeoDetTournamentSelect < MOEOT > (*comparator, tSize);
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}
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else if (ppSelect.first == std::string("StochTour"))
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{
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double tRate;
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if (!ppSelect.second.size()) // no parameter added
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{
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std::cerr << "WARNING, no parameter passed to StochTour, using 1" << std::endl;
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tRate = 1;
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// put back 1 in parameter for consistency (and status file)
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ppSelect.second.push_back(std::string("1"));
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}
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else // parameter passed by user as StochTour(T)
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{
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tRate = atof(ppSelect.second[0].c_str());
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}
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select = new moeoStochTournamentSelect < MOEOT > (*comparator, tRate);
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}
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/*
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else if (ppSelect.first == string("Roulette"))
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{
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// TO DO !
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// ...
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}
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*/
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else if (ppSelect.first == std::string("Random"))
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{
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select = new moeoRandomSelect <MOEOT > ();
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}
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else
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{
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std::string stmp = std::string("Invalid selection strategy: ") + ppSelect.first;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(select);
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/* the replacement strategy */
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std::string & replacementParam = _parser.createParam(std::string("Elitist"), "replacement",
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"Replacement scheme: Elitist, Environmental or Generational", 'R', "Evolution Engine").value();
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moeoReplacement < MOEOT > * replace;
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if (replacementParam == std::string("Elitist"))
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{
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replace = new moeoElitistReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
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}
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else if (replacementParam == std::string("Environmental"))
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{
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replace = new moeoEnvironmentalReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
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}
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else if (replacementParam == std::string("Generational"))
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{
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replace = new moeoGenerationalReplacement < MOEOT> ();
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}
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else
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{
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std::string stmp = std::string("Invalid replacement strategy: ") + replacementParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(replace);
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/* the number of offspring */
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eoValueParam < eoHowMany > & offspringRateParam = _parser.createParam(eoHowMany(1.0), "nbOffspring",
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"Number of offspring (percentage or absolute)", 'O', "Evolution Engine");
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// the general breeder
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eoGeneralBreeder < MOEOT > * breed = new eoGeneralBreeder < MOEOT > (*select, _op, offspringRateParam.value());
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_state.storeFunctor(breed);
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// the eoEasyEA
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moeoEA < MOEOT > * algo = new moeoEasyEA < MOEOT > (_continue, _eval, *breed, *replace, *fitnessAssignment, *diversityAssignment);
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_state.storeFunctor(algo);
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return *algo;
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}
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#endif /*MAKE_EA_MOEO_H_*/
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