217 lines
10 KiB
C++
Executable file
217 lines
10 KiB
C++
Executable file
/*
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* <moeoEasyEA.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
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* (C) OPAC Team, LIFL, 2002-2008
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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 _MOEOEASYEA_H
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#define _MOEOEASYEA_H
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#include <apply.h>
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#include <eoBreed.h>
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#include <eoContinue.h>
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#include <eoMergeReduce.h>
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#include <eoPopEvalFunc.h>
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#include <eoSelect.h>
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#include <eoTransform.h>
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#include <algo/moeoEA.h>
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#include <diversity/moeoDiversityAssignment.h>
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#include <diversity/moeoDummyDiversityAssignment.h>
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#include <fitness/moeoFitnessAssignment.h>
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#include <replacement/moeoReplacement.h>
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/**
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* An easy class to design multi-objective evolutionary algorithms.
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*/
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template < class MOEOT >
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class moeoEasyEA: public moeoEA < MOEOT >
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{
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public:
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/**
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* Ctor taking a breed.
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* @param _continuator the stopping criteria
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* @param _eval the evaluation functions
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* @param _breed the breeder
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* @param _replace the replacement strategy
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* @param _fitnessEval the fitness evaluation scheme
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* @param _diversityEval the diversity evaluation scheme
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* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
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*/
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moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
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continuator(_continuator), eval (_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
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{}
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/**
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* Ctor taking a breed and a popEval.
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* @param _continuator the stopping criteria
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* @param _popEval the evaluation functions for the whole population
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* @param _breed the breeder
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* @param _replace the replacement strategy
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* @param _fitnessEval the fitness evaluation scheme
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* @param _diversityEval the diversity evaluation scheme
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* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
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*/
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moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
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continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(dummySelect, dummyTransform), breed(_breed), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
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{}
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/**
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* Ctor taking a select and a transform.
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* @param _continuator the stopping criteria
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* @param _eval the evaluation functions
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* @param _select the selection scheme
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* @param _transform the tranformation scheme
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* @param _replace the replacement strategy
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* @param _fitnessEval the fitness evaluation scheme
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* @param _diversityEval the diversity evaluation scheme
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* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
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*/
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moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
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continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
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{}
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/**
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* Ctor taking a select, a transform.and a popEval
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* @param _continuator the stopping criteria
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* @param _popEval the evaluation functions
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* @param _select the selection scheme
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* @param _transform the tranformation scheme
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* @param _replace the replacement strategy
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* @param _fitnessEval the fitness evaluation scheme
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* @param _diversityEval the diversity evaluation scheme
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* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
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*/
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moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
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continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(_select, _transform), breed(selectTransform), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
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{}
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/**
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* Applies a few generation of evolution to the population _pop.
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* @param _pop the population
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*/
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virtual void operator()(eoPop < MOEOT > & _pop)
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{
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eoPop < MOEOT > offspring, empty_pop;
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popEval(empty_pop, _pop); // A first eval of pop.
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bool firstTime = true;
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do
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{
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try
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{
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unsigned int pSize = _pop.size();
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offspring.clear(); // new offspring
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// fitness and diversity assignment (if you want to or if it is the first generation)
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if (evalFitAndDivBeforeSelection || firstTime)
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{
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firstTime = false;
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//std::cout << "fitness eval" << std::endl;
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fitnessEval(_pop);
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//std::cout << "diversity eval" << std::endl;
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diversityEval(_pop);
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}
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breed(_pop, offspring);
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popEval(_pop, offspring); // eval of parents + offspring if necessary
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replace(_pop, offspring); // after replace, the new pop. is in _pop
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if (pSize > _pop.size())
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{
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throw std::runtime_error("Population shrinking!");
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}
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else if (pSize < _pop.size())
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{
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throw std::runtime_error("Population growing!");
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}
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}
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catch (std::exception& e)
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{
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std::string s = e.what();
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s.append( " in moeoEasyEA");
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throw std::runtime_error( s );
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}
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}
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while (continuator(_pop));
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}
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protected:
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/** the stopping criteria */
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eoContinue < MOEOT > & continuator;
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/** a dummy eval */
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class eoDummyEval : public eoEvalFunc < MOEOT >
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{
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public:
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void operator()(MOEOT &) {}
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}
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dummyEval;
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/** the evaluation functions */
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eoEvalFunc < MOEOT > & eval;
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/** to evaluate the whole population */
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eoPopLoopEval < MOEOT > loopEval;
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/** to evaluate the whole population */
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eoPopEvalFunc < MOEOT > & popEval;
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/** dummy select */
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class DummySelect : public eoSelect < MOEOT >
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{
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public :
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void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
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}
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dummySelect;
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/** breed: a select followed by a transform */
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eoSelectTransform < MOEOT > selectTransform;
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/** dummy transform */
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class DummyTransform : public eoTransform < MOEOT >
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{
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public :
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void operator()(eoPop<MOEOT>&) {}
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}
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dummyTransform;
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/** the breeder */
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eoBreed < MOEOT > & breed;
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/** the replacment strategy */
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moeoReplacement < MOEOT > & replace;
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/** the fitness assignment strategy */
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moeoFitnessAssignment < MOEOT > & fitnessEval;
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/** the diversity assignment strategy */
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moeoDiversityAssignment < MOEOT > & diversityEval;
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/** if this parameter is set to 'true', the fitness and the diversity of the whole population will be re-evaluated before the selection process */
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bool evalFitAndDivBeforeSelection;
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};
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#endif /*MOEOEASYEA_H_*/
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