5df71ee73a
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@267 331e1502-861f-0410-8da2-ba01fb791d7f
120 lines
4.3 KiB
C++
Executable file
120 lines
4.3 KiB
C++
Executable file
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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//-----------------------------------------------------------------------------
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// moeoEasyEA.h
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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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#ifndef _MOEOEASYEA_H
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#define _MOEOEASYEA_H
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#include <apply.h>
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#include <eoPopEvalFunc.h>
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#include <eoContinue.h>
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#include <eoTransform.h>
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#include <eoBreed.h>
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#include <eoMergeReduce.h>
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#include <moeoEA.h>
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#include <eoReplacement.h>
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#include <moeoFitnessAssignment.h>
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#include <moeoDiversityAssignment.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.
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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 replacment 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, eoReplacement < MOEOT > & _replace,
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moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
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:
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continuator(_continuator), eval (_eval), loopEval(_eval), popEval(loopEval), breed(_breed), replace(_replace), fitnessEval(_fitnessEval),
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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 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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fitnessEval(_pop);
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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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} 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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/** 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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/** the breeder */
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eoBreed < MOEOT > & breed;
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/** the replacment strategy */
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eoReplacement < 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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