git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@400 331e1502-861f-0410-8da2-ba01fb791d7f
146 lines
5.9 KiB
C++
Executable file
146 lines
5.9 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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// moeoEnvironmentalReplacement.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 MOEOENVIRONMENTALREPLACEMENT_H_
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#define MOEOENVIRONMENTALREPLACEMENT_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 <fitness/moeoFitnessAssignment.h>
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#include <replacement/moeoReplacement.h>
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/**
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* Environmental replacement strategy that consists in keeping the N best individuals by deleting individuals 1 by 1
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* and by updating the fitness and diversity values after each deletion.
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*/
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template < class MOEOT > class moeoEnvironmentalReplacement:public moeoReplacement < MOEOT >
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{
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public:
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/** The type for objective vector */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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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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moeoEnvironmentalReplacement (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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moeoEnvironmentalReplacement (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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moeoEnvironmentalReplacement (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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moeoEnvironmentalReplacement (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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diversityAssignment (_parents);
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// remove individuals 1 by 1 and update the fitness values
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unsigned int worstIdx;
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ObjectiveVector worstObjVec;
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while (_parents.size() > sz)
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{
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// the individual to delete
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worstIdx = std::min_element(_parents.begin(), _parents.end(), comparator) - _parents.begin();
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worstObjVec = _parents[worstIdx].objectiveVector();
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// remove the woorst individual
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_parents[worstIdx] = _parents.back();
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_parents.pop_back();
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// update of the fitness and diversity values
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fitnessAssignment.updateByDeleting(_parents, worstObjVec);
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diversityAssignment.updateByDeleting(_parents, worstObjVec);
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}
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// clear the offspring population
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_offspring.clear ();
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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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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(_moeo1,_moeo2);
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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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} comparator;
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};
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#endif /*MOEOENVIRONMENTALREPLACEMENT_H_ */
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