merge ParadisEO-MOEO v-1.0
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153
trunk/paradiseo-moeo/src/algo/moeoNSGAII.h
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trunk/paradiseo-moeo/src/algo/moeoNSGAII.h
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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//-----------------------------------------------------------------------------
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// moeoNSGAII.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 MOEONSGAII_H_
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#define MOEONSGAII_H_
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#include <eoBreed.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/moeoFrontByFrontCrowdingDistanceDiversityAssignment.h>
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#include <fitness/moeoFastNonDominatedSortingFitnessAssignment.h>
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#include <replacement/moeoElitistReplacement.h>
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#include <selection/moeoDetTournamentSelect.h>
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/**
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* NSGA-II (Non-dominated Sorting Genetic Algorithm II) as described in:
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* Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan : "A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II".
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* In IEEE Transactions on Evolutionary Computation, Vol. 6, No 2, pp 182-197 (April 2002).
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* This class builds the NSGA-II algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
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*/
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template < class MOEOT >
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class moeoNSGAII: public moeoEA < MOEOT >
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{
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public:
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/**
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* Simple ctor with a eoGenOp.
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* @param _maxGen number of generations before stopping
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* @param _eval evaluation function
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* @param _op variation operator
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*/
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moeoNSGAII (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op) :
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defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
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replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
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{}
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/**
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* Simple ctor with a eoTransform.
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* @param _maxGen number of generations before stopping
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* @param _eval evaluation function
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* @param _op variation operator
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*/
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moeoNSGAII (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op) :
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defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
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replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
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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 _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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*/
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moeoNSGAII (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut) :
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defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select (2),
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replace (fitnessAssignment, diversityAssignment), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut),
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genBreed (select, defaultSGAGenOp), breed (genBreed)
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{}
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/**
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* Ctor with a continuator (instead of _maxGen) and a eoGenOp.
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* @param _continuator stopping criteria
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* @param _eval evaluation function
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* @param _op variation operator
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*/
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moeoNSGAII (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op) :
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continuator(_continuator), popEval(_eval), select(2),
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replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
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{}
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/**
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* Ctor with a continuator (instead of _maxGen) and a eoTransform.
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* @param _continuator stopping criteria
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* @param _eval evaluation function
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* @param _op variation operator
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*/
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moeoNSGAII (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op) :
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continuator(_continuator), popEval(_eval), select(2),
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replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
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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 > offspring, empty_pop;
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popEval (empty_pop, _pop); // a first eval of _pop
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// evaluate fitness and diversity
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fitnessAssignment(_pop);
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diversityAssignment(_pop);
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do
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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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// eval of offspring
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popEval (_pop, 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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} while (continuator (_pop));
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}
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protected:
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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 used to evaluate the whole population */
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eoPopLoopEval < MOEOT > popEval;
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/** binary tournament selection */
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moeoDetTournamentSelect < MOEOT > select;
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/** fitness assignment used in NSGA-II */
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moeoFastNonDominatedSortingFitnessAssignment < MOEOT > fitnessAssignment;
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/** diversity assignment used in NSGA-II */
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moeoFrontByFrontCrowdingDistanceDiversityAssignment < MOEOT > diversityAssignment;
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/** elitist replacement */
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moeoElitistReplacement < MOEOT > replace;
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/** an object for genetic operators (used as default) */
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eoSGAGenOp < MOEOT > defaultSGAGenOp;
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/** general breeder */
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eoGeneralBreeder < MOEOT > genBreed;
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/** breeder */
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eoBreed < MOEOT > & breed;
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};
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#endif /*MOEONSGAII_H_*/
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