paradiseo/moeo/src/diversity/moeoSharingDiversityAssignment.h
2024-08-23 18:00:31 +02:00

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/*
* <moeoSharingDiversityAssignment.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 MOEOSHARINGDIVERSITYASSIGNMENT_H_
#define MOEOSHARINGDIVERSITYASSIGNMENT_H_
#include <eoPop.h>
#include <comparator/moeoDiversityThenFitnessComparator.h>
#include <distance/moeoDistance.h>
#include <distance/moeoDistanceMatrix.h>
#include <distance/moeoEuclideanDistance.h>
#include <diversity/moeoDiversityAssignment.h>
/**
* Sharing assignment scheme originally porposed by:
* D. E. Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addision-Wesley, MA, USA (1989).
*/
template < class MOEOT >
class moeoSharingDiversityAssignment : public moeoDiversityAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor
* @param _distance the distance used to compute the neighborhood of solutions (can be related to the decision space or the objective space)
* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
* @param _alpha parameter used to regulate the shape of the sharing function
*/
moeoSharingDiversityAssignment(moeoDistance<MOEOT,double> & _distance, double _nicheSize = 0.5, double _alpha = 1.0) : distance(_distance), nicheSize(_nicheSize), alpha(_alpha)
{}
/**
* Ctor with an euclidean distance (with normalized objective values) in the objective space is used as default
* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
* @param _alpha parameter used to regulate the shape of the sharing function
*/
moeoSharingDiversityAssignment(double _nicheSize = 0.5, double _alpha = 1.0) : distance(defaultDistance), nicheSize(_nicheSize), alpha(_alpha)
{}
/**
* Sets diversity values for every solution contained in the population _pop
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
// 1 - set simuilarities
setSimilarities(_pop);
// 2 - a higher diversity is better, so the values need to be inverted
moeoDiversityThenFitnessComparator < MOEOT > divComparator;
double max = std::max_element(_pop.begin(), _pop.end(), divComparator)->diversity();
for (unsigned int i=0 ; i<_pop.size() ; i++)
{
_pop[i].diversity(max - _pop[i].diversity());
}
}
/**
* @warning NOT IMPLEMENTED, DO NOTHING !
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
* @warning NOT IMPLEMENTED, DO NOTHING !
*/
void updateByDeleting(eoPop < MOEOT > & /*_pop*/, ObjectiveVector & /*_objVec*/)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
}
protected:
/** the distance used to compute the neighborhood of solutions */
moeoDistance < MOEOT , double > & distance;
/** euclidean distancein the objective space (can be used as default) */
moeoEuclideanDistance < MOEOT > defaultDistance;
/** neighborhood size in terms of radius distance */
double nicheSize;
/** parameter used to regulate the shape of the sharing function */
double alpha;
/**
* Sets similarities for every solution contained in the population _pop
* @param _pop the population
*/
virtual void setSimilarities(eoPop < MOEOT > & _pop)
{
// compute distances between every individuals
moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
dMatrix(_pop);
// compute similarities
double sum;
for (unsigned int i=0; i<_pop.size(); i++)
{
sum = 0.0;
for (unsigned int j=0; j<_pop.size(); j++)
{
sum += sh(dMatrix[i][j]);
}
_pop[i].diversity(sum);
}
}
/**
* Sharing function
* @param _dist the distance value
*/
double sh(double _dist)
{
double result;
if (_dist < nicheSize)
{
result = 1.0 - pow(_dist / nicheSize, alpha);
}
else
{
result = 0.0;
}
return result;
}
};
#endif /*MOEOSHARINGDIVERSITYASSIGNMENT_H_*/