moeoSharingDiversityAssignment.h

/* 
* <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
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* 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
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*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
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*/
//-----------------------------------------------------------------------------

#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>

template < class MOEOT >
class moeoSharingDiversityAssignment : public moeoDiversityAssignment < MOEOT >
{
public:

    typedef typename MOEOT::ObjectiveVector ObjectiveVector;


    moeoSharingDiversityAssignment(moeoDistance<MOEOT,double> & _distance, double _nicheSize = 0.5, double _alpha = 1.0) : distance(_distance), nicheSize(_nicheSize), alpha(_alpha)
    {}


    moeoSharingDiversityAssignment(double _nicheSize = 0.5, double _alpha = 1.0) : distance(defaultDistance), nicheSize(_nicheSize), alpha(_alpha)
    {}


    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());
        }
    }


    void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
    {
        std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
    }


protected:

    moeoDistance < MOEOT , double > & distance;
    moeoEuclideanDistance < MOEOT > defaultDistance;
    double nicheSize;
    double alpha;


    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);
        }
    }


    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_*/

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