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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@23 331e1502-861f-0410-8da2-ba01fb791d7f
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legrand 2006-12-06 10:14:16 +00:00
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trunk/paradiseo-moeo/src/metric/moeoContributionMetric.h Normal file
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoContributionMetric.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCONTRIBUTIONMETRIC_H_
#define MOEOCONTRIBUTIONMETRIC_H_
#include <metric/moeoMetric.h>
/**
* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
*
* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
*/
template < class EOT > class moeoContributionMetric:public moeoVectorVsVectorBM < EOT,
double >
{
public:
/**
* The fitness type of a solution
*/
typedef typename EOT::Fitness EOFitness;
/**
* Returns the contribution of the Pareto set '_set1' relatively to the Pareto set '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
double operator () (const std::vector < EOFitness > &_set1,
const std::vector < EOFitness > &_set2)
{
unsigned c = card_C (_set1, _set2);
unsigned w1 = card_W (_set1, _set2);
unsigned n1 = card_N (_set1, _set2);
unsigned w2 = card_W (_set2, _set1);
unsigned n2 = card_N (_set2, _set1);
return (double) (c / 2.0 + w1 + n1) / (c + w1 + n1 + w2 + n2);
}
private:
/**
* Returns the number of solutions both in '_set1' and '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned card_C (const std::vector < EOFitness > &_set1,
const std::vector < EOFitness > &_set2)
{
unsigned c = 0;
for (unsigned i = 0; i < _set1.size (); i++)
for (unsigned j = 0; j < _set2.size (); j++)
if (_set1[i] == _set2[j])
{
c++;
break;
}
return c;
}
/**
* Returns the number of solutions in '_set1' dominating at least one solution of '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned card_W (const std::vector < EOFitness > &_set1,
const std::vector < EOFitness > &_set2)
{
unsigned w = 0;
for (unsigned i = 0; i < _set1.size (); i++)
for (unsigned j = 0; j < _set2.size (); j++)
if (_set1[i].dominates (_set2[j]))
{
w++;
break;
}
return w;
}
/**
* Returns the number of solutions in '_set1' having no relation of dominance with those from '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned card_N (const std::vector < EOFitness > &_set1,
const std::vector < EOFitness > &_set2)
{
unsigned n = 0;
for (unsigned i = 0; i < _set1.size (); i++)
{
bool domin_rel = false;
for (unsigned j = 0; j < _set2.size (); j++)
if (_set1[i].dominates (_set2[j]) || _set2[j].dominates (_set1[i]))
{
domin_rel = true;
break;
}
if (!domin_rel)
n++;
}
return n;
}
};
#endif /*MOEOCONTRIBUTIONMETRIC_H_ */