From 7a82eabcddda45251fa998c97b30184b11ef8a26 Mon Sep 17 00:00:00 2001 From: liefooga Date: Tue, 19 Jun 2007 12:00:22 +0000 Subject: [PATCH] add IBEA algo git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@339 331e1502-861f-0410-8da2-ba01fb791d7f --- branches/paradiseo-moeo-1.0/src/moeoIBEA.h | 156 +++++++++++++++++++++ 1 file changed, 156 insertions(+) create mode 100644 branches/paradiseo-moeo-1.0/src/moeoIBEA.h diff --git a/branches/paradiseo-moeo-1.0/src/moeoIBEA.h b/branches/paradiseo-moeo-1.0/src/moeoIBEA.h new file mode 100644 index 000000000..ca3076c6b --- /dev/null +++ b/branches/paradiseo-moeo-1.0/src/moeoIBEA.h @@ -0,0 +1,156 @@ +// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*- + +//----------------------------------------------------------------------------- +// moeoIBEA.h +// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007 +/* + This library... + + Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr + */ +//----------------------------------------------------------------------------- + +#ifndef MOEOIBEA_H_ +#define MOEOIBEA_H_ + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +/** + * IBEA (Indicator-Based Evolutionary Algorithm) as described in: + * E. Zitzler, S. Künzli, "Indicator-Based Selection in Multiobjective Search", Proc. 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), pp. 832-842, Birmingham, UK (2004). + * This class builds the IBEA algorithm only by using the fine-grained components of the ParadisEO-MOEO framework. + */ +template < class MOEOT > +class moeoIBEA : public moeoEA < MOEOT > +{ +public: + + /** The type of objective vector */ + typedef typename MOEOT::ObjectiveVector ObjectiveVector; + + + /** + * Simple ctor with a eoGenOp. + * @param _maxGen number of generations before stopping + * @param _eval evaluation function + * @param _op variation operator + */ + moeoIBEA (unsigned _maxGen, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) : + defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2), + fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed) + {} + + + /** + * Simple ctor with a eoTransform. + * @param _maxGen number of generations before stopping + * @param _eval evaluation function + * @param _op variation operator + */ + moeoIBEA (unsigned _maxGen, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) : + defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2), + fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed) + {} + + + /** + * Ctor with a crossover, a mutation and their corresponding rates. + * @param _maxGen number of generations before stopping + * @param _eval evaluation function + * @param _crossover crossover + * @param _pCross crossover probability + * @param _mutation mutation + * @param _pMut mutation probability + */ + moeoIBEA (unsigned _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) : + defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select (2), + fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, dummyDiversityAssignment), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), + genBreed (select, defaultSGAGenOp), breed (genBreed) + {} + + + /** + * Ctor with a continuator (instead of _maxGen) and a eoGenOp. + * @param _continuator stopping criteria + * @param _eval evaluation function + * @param _op variation operator + */ + moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) : + continuator(_continuator), popEval(_eval), select(2), + fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed) + {} + + + /** + * Ctor with a continuator (instead of _maxGen) and a eoTransform. + * @param _continuator stopping criteria + * @param _eval evaluation function + * @param _op variation operator + */ + moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) : + continuator(_continuator), popEval(_eval), select(2), + fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed) + {} + + + /** + * Apply a few generation of evolution to the population _pop until the stopping criteria is verified. + * @param _pop the population + */ + virtual void operator () (eoPop < MOEOT > &_pop) + { + eoPop < MOEOT > offspring, empty_pop; + popEval (empty_pop, _pop); // a first eval of _pop + // evaluate fitness and diversity + fitnessAssignment(_pop); + dummyDiversityAssignment(_pop); + do + { + // generate offspring, worths are recalculated if necessary + breed (_pop, offspring); + // eval of offspring + popEval (_pop, offspring); + // after replace, the new pop is in _pop. Worths are recalculated if necessary + replace (_pop, offspring); + } while (continuator (_pop)); + } + + +protected: + + /** a continuator based on the number of generations (used as default) */ + eoGenContinue < MOEOT > defaultGenContinuator; + /** stopping criteria */ + eoContinue < MOEOT > & continuator; + /** evaluation function used to evaluate the whole population */ + eoPopLoopEval < MOEOT > popEval; + /** binary tournament selection */ + moeoDetTournamentSelect < MOEOT > select; + /** fitness assignment used in IBEA */ + moeoIndicatorBasedFitnessAssignment < MOEOT > fitnessAssignment; + /** dummy diversity assignment */ + moeoDummyDiversityAssignment < MOEOT > dummyDiversityAssignment; + /** elitist replacement */ + moeoEnvironmentalReplacement < MOEOT > replace; + /** an object for genetic operators (used as default) */ + eoSGAGenOp < MOEOT > defaultSGAGenOp; + /** general breeder */ + eoGeneralBreeder < MOEOT > genBreed; + /** breeder */ + eoBreed < MOEOT > & breed; + +}; + +#endif /*MOEOIBEA_H_*/