* moeo/src/algo/moeoSPEA2.h: replace NSGA-II by SPEA2 in comments. * moeo/src/diversity/moeoFrontByFrontCrowdingDiversityAssignment.h: Fix typos. * moeo/src/diversity/moeoNearestNeighborDiversityAssignment.h: Mention SPEA2. Cite Zitzler.
278 lines
14 KiB
C++
278 lines
14 KiB
C++
/*
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* <moeoSPEA2.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 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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* Jeremie Humeau
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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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// moeoSPEA2.h
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//-----------------------------------------------------------------------------
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#ifndef MOEOSPEA2_H_
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#define MOEOSPEA2_H_
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#include <eoBreed.h>
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#include <eoCloneOps.h>
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#include <eoContinue.h>
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#include <eoEvalFunc.h>
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#include <eoGenContinue.h>
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#include <eoGeneralBreeder.h>
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#include <eoGenOp.h>
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#include <eoPopEvalFunc.h>
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#include <eoSGAGenOp.h>
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#include <algo/moeoEA.h>
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#include <diversity/moeoNearestNeighborDiversityAssignment.h>
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#include <fitness/moeoDominanceCountFitnessAssignment.h>
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#include <fitness/moeoDominanceCountRankingFitnessAssignment.h>
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#include <replacement/moeoGenerationalReplacement.h>
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#include <selection/moeoDetTournamentSelect.h>
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#include <archive/moeoFixedSizeArchive.h>
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#include <distance/moeoEuclideanDistance.h>
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#include <selection/moeoSelectFromPopAndArch.h>
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/**
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* SPEA2 algorithm.
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* E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103,
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* Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland, 2001.
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*/
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template < class MOEOT >
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class moeoSPEA2: public moeoEA < MOEOT >
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{
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public:
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/**
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* Ctor with a crossover, a mutation and their corresponding rates.
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* @param _maxGen number of generations before stopping
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* @param _eval evaluation function
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* @param _crossover crossover
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* @param _pCross crossover probability
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* @param _mutation mutation
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* @param _pMut mutation probability
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* @param _archive archive
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* @param _k the k-ieme distance used to fixe diversity
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* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
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*/
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moeoSPEA2 (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
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defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
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defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), fitnessAssignment(_archive, _nocopy),
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genBreed(defaultSelect, defaultSGAGenOp),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
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{}
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/**
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* Ctor with a crossover, a mutation and their corresponding rates.
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* @param _continuator stopping criteria
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* @param _eval evaluation function
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* @param _crossover crossover
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* @param _pCross crossover probability
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* @param _mutation mutation
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* @param _pMut mutation probability
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* @param _archive archive
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* @param _k the k-ieme distance used to fixe diversity
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* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
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*/
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moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
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defaultGenContinuator(0), continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
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defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), fitnessAssignment(_archive, _nocopy),
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genBreed(defaultSelect, defaultSGAGenOp),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
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{}
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/**
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* Ctor with a crossover, a mutation and their corresponding rates.
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* @param _continuator stopping criteria
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* @param _eval pop evaluation function
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* @param _crossover crossover
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* @param _pCross crossover probability
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* @param _mutation mutation
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* @param _pMut mutation probability
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* @param _archive archive
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* @param _k the k-ieme distance used to fixe diversity
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* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
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*/
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moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoPopEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
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defaultGenContinuator(0), continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_eval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
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defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), fitnessAssignment(_archive, _nocopy),
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genBreed(defaultSelect, defaultSGAGenOp),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
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{}
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/**
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* Ctor with a crossover, a mutation and their corresponding rates.
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* @param _continuator stopping criteria
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* @param _eval evaluation function
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* @param _op general operator
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* @param _archive archive
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* @param _k the k-ieme distance used to fixe diversity
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* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
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*/
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moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
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defaultGenContinuator(0), continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
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defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
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genBreed(select, _op),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
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{}
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/**
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* Ctor with a crossover, a mutation and their corresponding rates.
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* @param _continuator stopping criteria
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* @param _eval evaluation function
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* @param _op transformer
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* @param _archive archive
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* @param _k the k-ieme distance used to fixe diversity
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* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
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*/
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moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
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defaultGenContinuator(0), continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
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defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
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genBreed(defaultSelect, defaultSGAGenOp),selectMany(select,1.0), selectTransform(selectMany, _op), breed(selectTransform), diversityAssignment(dist,_archive, _k)
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{}
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/**
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* Ctor with a crossover, a mutation and their corresponding rates.
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* @param _continuator stopping criteria
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* @param _eval pop evaluation function
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* @param _op general operator
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* @param _archive archive
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* @param _k the k-ieme distance used to fixe diversity
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* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
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*/
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moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoPopEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
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defaultGenContinuator(0), continuator(_continuator),eval(dummyEval), loopEval(dummyEval), popEval(_eval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
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defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
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genBreed(select, _op),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
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{}
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/**
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* Ctor with a crossover, a mutation and their corresponding rates.
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* @param _continuator stopping criteria
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* @param _eval pop evaluation function
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* @param _op transformer
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* @param _archive archive
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* @param _k the k-ieme distance used to fixe diversity
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* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
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*/
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moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoPopEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=100, bool _nocopy=false) :
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defaultGenContinuator(0), continuator(_continuator),eval(dummyEval), loopEval(dummyEval), popEval(_eval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
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defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
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genBreed(defaultSelect, defaultSGAGenOp),selectMany(select,1.0), selectTransform(selectMany, _op), breed(selectTransform), diversityAssignment(dist,_archive, _k)
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{}
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/**
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* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
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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 >empty_pop, offspring;
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popEval (empty_pop, _pop);// a first eval of _pop
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fitnessAssignment(_pop); //a first fitness assignment of _pop
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diversityAssignment(_pop);//a first diversity assignment of _pop
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archive(_pop);//a first filling of archive
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while (continuator (_pop))
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{
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// generate offspring, worths are recalculated if necessary
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breed (_pop, offspring);
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popEval (_pop, offspring); // eval of offspring
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// after replace, the new pop is in _pop. Worths are recalculated if necessary
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replace (_pop, offspring);
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fitnessAssignment(_pop); //fitness assignment of _pop
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diversityAssignment(_pop); //diversity assignment of _pop
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archive(_pop); //control of archive
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}
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}
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protected:
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/** dummy evaluation */
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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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/** dummy transform */
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class eoDummyTransform : 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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/** a continuator based on the number of generations (used as default) */
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eoGenContinue < MOEOT > defaultGenContinuator;
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/** stopping criteria */
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eoContinue < MOEOT > & continuator;
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/** evaluation function */
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eoEvalFunc < MOEOT > & eval;
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/** loop eval */
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eoPopLoopEval < MOEOT > loopEval;
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/** evaluation function used to evaluate the whole population */
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eoPopEvalFunc < MOEOT > & popEval;
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/**archive*/
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moeoArchive < MOEOT >& archive;
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/**SelectOne*/
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moeoDetTournamentSelect < MOEOT > defaultSelect;
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/** binary tournament selection */
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moeoSelectFromPopAndArch < MOEOT > select;
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/** a default mutation */
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eoMonCloneOp < MOEOT > defaultMonOp;
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/** a default crossover */
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eoQuadCloneOp < MOEOT > defaultQuadOp;
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/** an object for genetic operators (used as default) */
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eoSGAGenOp < MOEOT > defaultSGAGenOp;
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/** fitness assignment used in SPEA2 */
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moeoDominanceCountRankingFitnessAssignment < MOEOT > fitnessAssignment;
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/** general breeder */
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eoGeneralBreeder < MOEOT > genBreed;
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/** selectMany */
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eoSelectMany <MOEOT> selectMany;
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/** select Transform*/
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eoSelectTransform <MOEOT> selectTransform;
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/** breeder */
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eoBreed < MOEOT > & breed;
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/** diversity assignment used in SPEA2 */
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moeoNearestNeighborDiversityAssignment < MOEOT > diversityAssignment;
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/** elitist replacement */
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moeoGenerationalReplacement < MOEOT > replace;
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/**distance*/
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moeoEuclideanDistance < MOEOT > dist;
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};
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#endif /*MOEOSPEA2_H_*/
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