git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@267 331e1502-861f-0410-8da2-ba01fb791d7f
114 lines
3.5 KiB
C++
Executable file
114 lines
3.5 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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// moeoCrowdingDistanceDiversityAssignment.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 MOEOCROWDINGDISTANCEDIVERSITYASSIGNMENT_H_
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#define MOEOCROWDINGDISTANCEDIVERSITYASSIGNMENT_H_
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#include <eoPop.h>
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#include <moeoComparator.h>
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#include <moeoDiversityAssignment.h>
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/**
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* Diversity assignment sheme based on crowding distance 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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* This strategy is, for instance, used in NSGA-II.
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*/
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template < class MOEOT >
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class moeoCrowdingDistanceDiversityAssignment : public moeoDiversityAssignment < 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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* Returns a big value (regarded as infinite)
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*/
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double inf() const
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{
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return std::numeric_limits<double>::max();
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}
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/**
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* Computes diversity values for every solution contained in the population _pop
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* @param _pop the population
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*/
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void operator()(eoPop < MOEOT > & _pop)
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{
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if (_pop.size() <= 2)
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{
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for (unsigned i=0; i<_pop.size(); i++)
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{
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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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{
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setDistances(_pop);
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}
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}
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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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cout << "WARNING : updateByDeleting not implemented in moeoCrowdingDiversityAssignment" << endl;
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}
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private:
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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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double min, max, distance;
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unsigned nObjectives = MOEOT::ObjectiveVector::nObjectives();
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// set diversity to 0
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for (unsigned i=0; i<_pop.size(); i++)
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{
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_pop[i].diversity(0);
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}
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// for each objective
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for (unsigned obj=0; obj<nObjectives; obj++)
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{
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// comparator
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moeoOneObjectiveComparator < MOEOT > comp(obj);
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// sort
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std::sort(_pop.begin(), _pop.end(), comp);
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// min & max
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min = _pop[0].objectiveVector()[obj];
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max = _pop[_pop.size()-1].objectiveVector()[obj];
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// set the diversity value to infiny for min and max
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_pop[0].diversity(inf());
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_pop[_pop.size()-1].diversity(inf());
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for (unsigned i=1; i<_pop.size()-1; i++)
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{
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distance = (_pop[i+1].objectiveVector()[obj] - _pop[i-1].objectiveVector()[obj]) / (max-min);
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_pop[i].diversity(_pop[i].diversity() + distance);
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}
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}
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}
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};
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#endif /*MOEOCROWDINGDISTANCEDIVERSITYASSIGNMENT_H_*/
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