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metrics modification

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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@180 331e1502-861f-0410-8da2-ba01fb791d7f
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liefooga 2007-02-14 15:08:50 +00:00
commit 6d62e3f13a
4 changed files with 78 additions and 70 deletions
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branches/paradiseo-moeo-1.0/src/metric/moeoContributionMetric.h
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@ -2,7 +2,7 @@
//-----------------------------------------------------------------------------
// moeoContributionMetric.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
@ -17,37 +17,24 @@
/**
* 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 MOEOT >
class moeoContributionMetric : public moeoPopVsPopBinaryMetric < MOEOT, double >
template < class ObjectiveVector >
class moeoContributionMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
{
public:
/** the objective vector type of a solution */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* 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 eoPop < MOEOT > & _pop1, const eoPop < MOEOT > & _pop2) {
/************/
std::vector<ObjectiveVector> set1;
std::vector<ObjectiveVector> set2;
for (unsigned i=0; i<_pop1.size(); i++)
set1.push_back(_pop1[i].objectiveVector());
for (unsigned i=0 ; i<_pop2.size(); i++)
set2.push_back(_pop2[i].objectiveVector());
/****************/
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);
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _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);
}