This new files defines a modified copies of Paradiseo existant classes. So, once approved, they will be part of the main distribution (I hope :)
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1348 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
wcancino
parent
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/*
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* <moeoElitistReplacement.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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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
|
||||
* abiding by the rules of distribution of free software. You can use,
|
||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
||||
* "http://www.cecill.info".
|
||||
*
|
||||
* As a counterpart to the access to the source code and rights to copy,
|
||||
* modify and redistribute granted by the license, users are provided only
|
||||
* with a limited warranty and the software's author, the holder of the
|
||||
* economic rights, and the successive licensors have only limited liability.
|
||||
*
|
||||
* In this respect, the user's attention is drawn to the risks associated
|
||||
* with loading, using, modifying and/or developing or reproducing the
|
||||
* software by the user in light of its specific status of free software,
|
||||
* that may mean that it is complicated to manipulate, and that also
|
||||
* therefore means that it is reserved for developers and experienced
|
||||
* professionals having in-depth computer knowledge. Users are therefore
|
||||
* encouraged to load and test the software's suitability as regards their
|
||||
* requirements in conditions enabling the security of their systems and/or
|
||||
* data to be ensured and, more generally, to use and operate it in the
|
||||
* same conditions as regards security.
|
||||
* The fact that you are presently reading this means that you have had
|
||||
* 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 MOEOELITISTREPLACEMENT2_H_
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#define MOEOELITISTREPLACEMENT2_H_
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#include <comparator/moeoComparator.h>
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#include <comparator/moeoFitnessThenDiversityComparator.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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#include <PhyloMOEA/vectorSortIndex.h>
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/**
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* Elitist replacement strategy that consists in keeping the N best individuals.
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*/
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template < class MOEOT > class moeoElitistReplacement2:public moeoReplacement < MOEOT >
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{
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public:
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/**
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* Full constructor.
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* @param _fitnessAssignment the fitness assignment strategy
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* @param _diversityAssignment the diversity assignment strategy
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* @param _comparator the comparator (used to compare 2 individuals)
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*/
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moeoElitistReplacement2 (moeoFitnessAssignment < MOEOT > & _fitnessAssignment, moeoDiversityAssignment < MOEOT > & _diversityAssignment, moeoComparator < MOEOT > & _comparator) :
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fitnessAssignment (_fitnessAssignment), diversityAssignment (_diversityAssignment), comparator (_comparator)
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{}
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/**
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* Constructor without comparator. A moeoFitThenDivComparator is used as default.
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* @param _fitnessAssignment the fitness assignment strategy
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* @param _diversityAssignment the diversity assignment strategy
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*/
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moeoElitistReplacement2 (moeoFitnessAssignment < MOEOT > & _fitnessAssignment, moeoDiversityAssignment < MOEOT > & _diversityAssignment) :
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fitnessAssignment (_fitnessAssignment), diversityAssignment (_diversityAssignment), comparator (defaultComparator)
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{}
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/**
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* Constructor without moeoDiversityAssignement. A dummy diversity is used as default.
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* @param _fitnessAssignment the fitness assignment strategy
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* @param _comparator the comparator (used to compare 2 individuals)
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*/
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moeoElitistReplacement2 (moeoFitnessAssignment < MOEOT > & _fitnessAssignment, moeoComparator < MOEOT > & _comparator) :
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fitnessAssignment (_fitnessAssignment), diversityAssignment (defaultDiversity), comparator (_comparator)
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{}
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/**
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* Constructor without moeoDiversityAssignement nor moeoComparator.
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* A moeoFitThenDivComparator and a dummy diversity are used as default.
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* @param _fitnessAssignment the fitness assignment strategy
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*/
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moeoElitistReplacement2 (moeoFitnessAssignment < MOEOT > & _fitnessAssignment) :
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fitnessAssignment (_fitnessAssignment), diversityAssignment (defaultDiversity), comparator (defaultComparator)
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{}
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/**
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* Replaces the first population by adding the individuals of the second one, sorting with a moeoComparator and resizing the whole population obtained.
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* @param _parents the population composed of the parents (the population you want to replace)
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* @param _offspring the offspring population
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*/
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void operator () (eoPop < MOEOT > &_parents, eoPop < MOEOT > &_offspring)
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{
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unsigned int sz = _parents.size ();
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// merges offspring and parents into a global population
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_parents.reserve (_parents.size () + _offspring.size ());
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std::copy (_offspring.begin (), _offspring.end (), back_inserter (_parents));
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// evaluates the fitness and the diversity of this global population
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fitnessAssignment (_parents);
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// diversity assignment does several pop sorts, so it is better to performs
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// these operations on pointers to avoid copy of individuals
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diversityAssignment(_parents);
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// sorts the whole population
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// the delindex contains the ordered index of the population according to the comparator
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// again, we only sort the index of population instead of population
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std::vector<unsigned int> delindex;
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vectorSortIndex( _parents, delindex, comparator);
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//std::sort( delindex.begin(), delindex.end(), comparatorindex(_parents, delindex, comparator));
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// now, in order to rezise of population we remove the populations whose index
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// are in the high of delindex
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std::sort(delindex.begin()+sz, delindex.end(), std::greater<int>());
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// finally, resize this global population
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reduce_population( _parents, delindex,sz);
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//_parents.resize (sz);
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// and clear the offspring population
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_offspring.clear ();
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}
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void reduce_population ( eoPop < MOEOT > &_pop, std::vector<unsigned int> &index, unsigned int size)
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{
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for(int j=size; j< index.size(); j++)
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{
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if( index[j] < index.size()-1)
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_pop[ index[j] ] = _pop.back();
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_pop.pop_back();
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}
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};
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protected:
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/** the fitness assignment strategy */
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moeoFitnessAssignment < MOEOT > & fitnessAssignment;
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/** the diversity assignment strategy */
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moeoDiversityAssignment < MOEOT > & diversityAssignment;
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/** a dummy diversity assignment can be used as default */
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//moeoComparator <MOEOT> & comparator;
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moeoDummyDiversityAssignment < MOEOT > defaultDiversity;
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/** a fitness then diversity comparator can be used as default */
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moeoFitnessThenDiversityComparator < MOEOT > defaultComparator;
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/** this object is used to compare solutions in order to sort the population */
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class Cmp
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{
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public:
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/**
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* Ctor.
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* @param _comp the comparator
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*/
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Cmp(moeoComparator < MOEOT > & _comp) : comp(_comp)
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{}
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/**
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* Returns true if _moeo1 is greater than _moeo2 according to the comparator
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* _moeo1 the first individual
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* _moeo2 the first individual
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*/
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bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
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{
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return comp(_moeo2,_moeo1);
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}
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private:
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/** the comparator */
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moeoComparator < MOEOT > & comp;
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}
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comparator;
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};
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#endif /*MOEOELITISTREPLACEMENT_H_ */
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@ -0,0 +1,173 @@
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/*
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* <moeoFrontByFrontCrowdingDiversityAssignment.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Arnaud Liefooghe
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||||
*
|
||||
* This software is governed by the CeCILL license under French law and
|
||||
* abiding by the rules of distribution of free software. You can use,
|
||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
||||
* "http://www.cecill.info".
|
||||
*
|
||||
* As a counterpart to the access to the source code and rights to copy,
|
||||
* modify and redistribute granted by the license, users are provided only
|
||||
* with a limited warranty and the software's author, the holder of the
|
||||
* economic rights, and the successive licensors have only limited liability.
|
||||
*
|
||||
* In this respect, the user's attention is drawn to the risks associated
|
||||
* with loading, using, modifying and/or developing or reproducing the
|
||||
* software by the user in light of its specific status of free software,
|
||||
* that may mean that it is complicated to manipulate, and that also
|
||||
* therefore means that it is reserved for developers and experienced
|
||||
* professionals having in-depth computer knowledge. Users are therefore
|
||||
* encouraged to load and test the software's suitability as regards their
|
||||
* requirements in conditions enabling the security of their systems and/or
|
||||
* data to be ensured and, more generally, to use and operate it in the
|
||||
* same conditions as regards security.
|
||||
* The fact that you are presently reading this means that you have had
|
||||
* knowledge of the CeCILL license and that you accept its terms.
|
||||
*
|
||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
||||
* Contact: paradiseo-help@lists.gforge.inria.fr
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*
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*/
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//-----------------------------------------------------------------------------
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#ifndef MOEOFRONTBYFRONTCROWDINGDIVERSITYASSIGNMENT2_H_
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#define MOEOFRONTBYFRONTCROWDINGDIVERSITYASSIGNMENT2_H_
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#include <diversity/moeoCrowdingDiversityAssignment.h>
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#include <comparator/moeoFitnessThenDiversityComparator.h>
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#include <PhyloMOEA/moeoPtrComparator.h>
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/**
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* Diversity assignment sheme based on crowding proposed in:
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* K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, "A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, no. 2 (2002).
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* Tis strategy assigns diversity values FRONT BY FRONT. It is, for instance, used in NSGA-II.
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*/
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template < class MOEOT >
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class moeoFrontByFrontCrowdingDiversityAssignment2 : public moeoCrowdingDiversityAssignment < MOEOT >
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{
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public:
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/** the objective vector type of the solutions */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/**
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* @warning NOT IMPLEMENTED, DO NOTHING !
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* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
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* @param _pop the population
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* @param _objVec the objective vector
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* @warning NOT IMPLEMENTED, DO NOTHING !
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*/
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void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
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{
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std::cout << "WARNING : updateByDeleting not implemented in moeoFrontByFrontCrowdingDistanceDiversityAssignment" << std::endl;
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}
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private:
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using moeoCrowdingDiversityAssignment < MOEOT >::inf;
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using moeoCrowdingDiversityAssignment < MOEOT >::tiny;
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/**
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* Sets the distance values
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* @param _pop the population
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*/
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void setDistances (eoPop <MOEOT> & _pop)
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{
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unsigned int a,b;
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double min, max, distance;
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unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
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// set diversity to 0 for every individual
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for (unsigned int i=0; i<_pop.size(); i++)
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{
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_pop[i].diversity(0.0);
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}
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// sort the whole pop according to fitness values
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moeoFitnessThenDiversityComparator < MOEOT > fitnessComparator;
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std::vector<const MOEOT *> sortedpop;
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sortedpop.resize(_pop.size());
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std::transform( _pop.begin(), _pop.end(), sortedpop.begin(), typename eoPop<MOEOT>::Ref());
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//struct eoPop<MOEOT>::Ref ref;
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moeoPtrComparator<MOEOT> cmp1( fitnessComparator);
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std::sort(sortedpop.begin(), sortedpop.end(), cmp1);
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//std::sort(_pop.begin(), _pop.end(), fitnessComparator);
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// compute the crowding distance values for every individual "front" by "front" (front : from a to b)
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a = 0; // the front starts at a
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while (a < _pop.size())
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{
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b = lastIndex(sortedpop,a); // the front ends at b
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//b = lastIndex(_pop,a); // the front ends at b
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// if there is less than 2 individuals in the front...
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if ((b-a) < 2)
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{
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for (unsigned int i=a; i<=b; i++)
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{
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((MOEOT *)sortedpop[i])->diversity(inf());
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//_pop[i].diversity(inf());
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}
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}
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// else...
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else
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{
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// for each objective
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for (unsigned int obj=0; obj<nObjectives; obj++)
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{
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// sort in the descending order using the values of the objective 'obj'
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moeoOneObjectiveComparator < MOEOT > objComp(obj);
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moeoPtrComparator<MOEOT> cmp2( objComp );
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std::sort(sortedpop.begin(), sortedpop.end(), cmp2);
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// min & max
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min = (sortedpop[b])->objectiveVector()[obj];
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max = (sortedpop[a])->objectiveVector()[obj];
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// avoid extreme case
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if (min == max)
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{
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min -= tiny();
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max += tiny();
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}
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// set the diversity value to infiny for min and max
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((MOEOT *)sortedpop[a])->diversity(inf());
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((MOEOT *)sortedpop[b])->diversity(inf());
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// set the diversity values for the other individuals
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for (unsigned int i=a+1; i<b; i++)
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{
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distance = ( (sortedpop[i-1])->objectiveVector()[obj] - (sortedpop[i+1])->objectiveVector()[obj]) / (max-min);
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((MOEOT *)sortedpop[i])->diversity(sortedpop[i]->diversity() + distance);
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}
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}
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}
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// go to the next front
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a = b+1;
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}
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}
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/**
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* Returns the index of the last individual having the same fitness value than _pop[_start]
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* @param _pop the population
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* @param _start the index to start from
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*/
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unsigned int lastIndex (std::vector<const MOEOT *> & _pop, unsigned int _start)
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{
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unsigned int i=_start;
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while ( (i<_pop.size()-1) && (_pop[i]->fitness()==_pop[i+1]->fitness()) )
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{
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i++;
|
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}
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return i;
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}
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};
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#endif /*MOEOFRONTBYFRONTCROWDINGDIVERSITYASSIGNMENT_H_*/
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190
contribution/branches/PhyloMOEA/PhyloMOEA/moeoNSGAII2.h
Normal file
190
contribution/branches/PhyloMOEA/PhyloMOEA/moeoNSGAII2.h
Normal file
|
|
@ -0,0 +1,190 @@
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/*
|
||||
* <moeoNSGAII.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
*
|
||||
* Arnaud Liefooghe
|
||||
*
|
||||
* This software is governed by the CeCILL license under French law and
|
||||
* abiding by the rules of distribution of free software. You can use,
|
||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
||||
* "http://www.cecill.info".
|
||||
*
|
||||
* As a counterpart to the access to the source code and rights to copy,
|
||||
* modify and redistribute granted by the license, users are provided only
|
||||
* with a limited warranty and the software's author, the holder of the
|
||||
* economic rights, and the successive licensors have only limited liability.
|
||||
*
|
||||
* In this respect, the user's attention is drawn to the risks associated
|
||||
* with loading, using, modifying and/or developing or reproducing the
|
||||
* software by the user in light of its specific status of free software,
|
||||
* that may mean that it is complicated to manipulate, and that also
|
||||
* therefore means that it is reserved for developers and experienced
|
||||
* professionals having in-depth computer knowledge. Users are therefore
|
||||
* encouraged to load and test the software's suitability as regards their
|
||||
* requirements in conditions enabling the security of their systems and/or
|
||||
* data to be ensured and, more generally, to use and operate it in the
|
||||
* same conditions as regards security.
|
||||
* The fact that you are presently reading this means that you have had
|
||||
* knowledge of the CeCILL license and that you accept its terms.
|
||||
*
|
||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
||||
* Contact: paradiseo-help@lists.gforge.inria.fr
|
||||
*
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEONSGAII2_H_
|
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#define MOEONSGAII2_H_
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#include <eoBreed.h>
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#include <eoContinue.h>
|
||||
#include <eoEvalFunc.h>
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||||
#include <eoGenContinue.h>
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||||
#include <eoGeneralBreeder.h>
|
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#include <eoGenOp.h>
|
||||
#include <eoPopEvalFunc.h>
|
||||
#include <eoSGAGenOp.h>
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||||
#include <algo/moeoEA.h>
|
||||
#include <PhyloMOEA/moeoFrontByFrontCrowdingDiversityAssignment2.h>
|
||||
#include <fitness/moeoFastNonDominatedSortingFitnessAssignment.h>
|
||||
#include <PhyloMOEA/moeoElitistReplacement2.h>
|
||||
#include <selection/moeoDetTournamentSelect.h>
|
||||
|
||||
|
||||
#include <eoCloneOps.h>
|
||||
|
||||
/**
|
||||
* NSGA-II (Non-dominated Sorting Genetic Algorithm II) as described in:
|
||||
* Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan : "A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II".
|
||||
* In IEEE Transactions on Evolutionary Computation, Vol. 6, No 2, pp 182-197 (April 2002).
|
||||
* This class builds the NSGA-II algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoNSGAII2: public moeoEA < MOEOT >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Simple ctor with a eoGenOp.
|
||||
* @param _maxGen number of generations before stopping
|
||||
* @param _eval evaluation function
|
||||
* @param _op variation operator
|
||||
*/
|
||||
moeoNSGAII2 (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op) :
|
||||
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
|
||||
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0),
|
||||
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
|
||||
*/
|
||||
moeoNSGAII2 (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op) :
|
||||
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
|
||||
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0),
|
||||
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
|
||||
*/
|
||||
moeoNSGAII2 (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut) :
|
||||
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select (2),
|
||||
replace (fitnessAssignment, diversityAssignment), 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
|
||||
*/
|
||||
moeoNSGAII2 (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op) :
|
||||
defaultGenContinuator(0), continuator(_continuator), popEval(_eval), select(2),
|
||||
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0),
|
||||
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
|
||||
*/
|
||||
moeoNSGAII2 (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op) :
|
||||
continuator(_continuator), popEval(_eval), select(2),
|
||||
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0),
|
||||
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);
|
||||
diversityAssignment(_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 NSGA-II */
|
||||
moeoFastNonDominatedSortingFitnessAssignment < MOEOT > fitnessAssignment;
|
||||
/** diversity assignment used in NSGA-II */
|
||||
moeoFrontByFrontCrowdingDiversityAssignment2 < MOEOT > diversityAssignment;
|
||||
/** elitist replacement */
|
||||
moeoElitistReplacement2 < MOEOT > replace;
|
||||
/** a default crossover */
|
||||
eoQuadCloneOp < MOEOT > defaultQuadOp;
|
||||
/** a default mutation */
|
||||
eoMonCloneOp < MOEOT > defaultMonOp;
|
||||
/** an object for genetic operators (used as default) */
|
||||
eoSGAGenOp < MOEOT > defaultSGAGenOp;
|
||||
/** general breeder */
|
||||
eoGeneralBreeder < MOEOT > genBreed;
|
||||
/** breeder */
|
||||
eoBreed < MOEOT > & breed;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEONSGAII_H_*/
|
||||
Loading…
Add table
Add a link
Reference in a new issue