moeoAdditiveEpsilonBinaryMetric.h

// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-

//-----------------------------------------------------------------------------
// moeoAdditiveEpsilonBinaryMetric.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
    This library...

    Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
 */
//-----------------------------------------------------------------------------

#ifndef MOEOADDITIVEEPSILONBINARYMETRIC_H_
#define MOEOADDITIVEEPSILONBINARYMETRIC_H_

#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>

template < class ObjectiveVector >
class moeoAdditiveEpsilonBinaryMetric : public moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double >
{
public:

    double operator()(const ObjectiveVector & _o1, const ObjectiveVector & _o2)
    {
        // computation of the epsilon value for the first objective
        double result = epsilon(_o1, _o2, 0);
        // computation of the epsilon value for the other objectives
        double tmp;
        for (unsigned int i=1; i<ObjectiveVector::Traits::nObjectives(); i++)
        {
            tmp = epsilon(_o1, _o2, i);
            result = std::max(result, tmp);
        }
        // returns the maximum epsilon value
        return result;
    }


private:

    using moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > :: bounds;


    double epsilon(const ObjectiveVector & _o1, const ObjectiveVector & _o2, const unsigned int _obj)
    {
        double result;
        // if the objective _obj have to be minimized
        if (ObjectiveVector::Traits::minimizing(_obj))
        {
            // _o1[_obj] - _o2[_obj]
            result = ( (_o1[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() ) - ( (_o2[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() );
        }
        // if the objective _obj have to be maximized
        else
        {
            // _o2[_obj] - _o1[_obj]
            result = ( (_o2[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() ) - ( (_o1[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() );
        }
        return result;
    }

};

#endif /*MOEOADDITIVEEPSILONBINARYMETRIC_H_*/

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