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moeoHyperVolumeMetric and moeoHyperVolumeDifferenceMetric are available.

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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1238 331e1502-861f-0410-8da2-ba01fb791d7f
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jhumeau 2008-08-12 15:34:03 +00:00
commit b6798df567
3 changed files with 140 additions and 14 deletions
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trunk/paradiseo-moeo/src/metric/moeoHyperVolumeDifferenceMetric.h
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@ -48,6 +48,125 @@
template < class ObjectiveVector >
class moeoHyperVolumeDifferenceMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
{
public:
/**
* Constructor with a coefficient (rho)
* @param _normalize allow to normalize data (default true)
* @param _rho coefficient to determine the reference point.
*/
moeoHyperVolumeDifferenceMetric(bool _normalize=true, double _rho=1.1): normalize(_normalize), rho(_rho), ref_point(NULL){
bounds.resize(ObjectiveVector::Traits::nObjectives());
// initialize bounds in case someone does not want to use them
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
bounds[i] = eoRealInterval(0,1);
}
}
/**
* Constructor with a reference point
* @param _normalize allow to normalize data (default true)
* @param _ref_point the reference point
*/
moeoHyperVolumeDifferenceMetric(bool _normalize=true, ObjectiveVector& _ref_point=NULL): normalize(_normalize), rho(0.0), ref_point(_ref_point){
bounds.resize(ObjectiveVector::Traits::nObjectives());
// initialize bounds in case someone does not want to use them
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
bounds[i] = eoRealInterval(0,1);
}
}
/**
* calculates and returns the HyperVolume value of a pareto front
* @param _set the vector contains all objective Vector of pareto front
*/
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
double hypervolume_set1;
double hypervolume_set2;
if(rho >= 1.0){
//determine bounds
setup(_set1, _set2);
//determine reference point
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++){
if(normalize){
if (ObjectiveVector::Traits::minimizing(i))
ref_point[i]= rho;
else
ref_point[i]= 1-rho;
}
else{
if (ObjectiveVector::Traits::minimizing(i))
ref_point[i]= bounds[i].maximum() * rho;
else
ref_point[i]= bounds[i].maximum() * (1-rho);
}
}
//if no normalization, reinit bounds to O..1 for
if(!normalize)
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
bounds[i] = eoRealInterval(0,1);
}
else if(normalize)
setup(_set1, _set2);
moeoHyperVolumeMetric <ObjectiveVector> unaryMetric(ref_point, bounds);
hypervolume_set1 = unaryMetric(_set1);
hypervolume_set2 = unaryMetric(_set2);
return hypervolume_set1 - hypervolume_set2;
}
/**
* getter on bounds
* @return bounds
*/
std::vector < eoRealInterval > getBounds(){
return bounds;
}
/**
* method caclulate bounds for the normalization
* @param _set the vector of objective vectors
*/
void setup(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2){
if(_set1.size() < 1 || _set2.size() < 1)
throw("Error in moeoHyperVolumeUnaryMetric::setup -> argument1: vector<ObjectiveVector> size must be greater than 0");
else{
double min, max;
unsigned int nbObj=ObjectiveVector::Traits::nObjectives();
bounds.resize(nbObj);
for (unsigned int i=0; i<nbObj; i++){
min = _set1[0][i];
max = _set1[0][i];
for (unsigned int j=1; j<_set1.size(); j++){
min = std::min(min, _set1[j][i]);
max = std::max(max, _set1[j][i]);
}
for (unsigned int j=0; j<_set2.size(); j++){
min = std::min(min, _set2[j][i]);
max = std::max(max, _set2[j][i]);
}
bounds[i] = eoRealInterval(min, max);
}
}
}
private:
/*boolean indicates if data must be normalized or not*/
bool normalize;
double rho;
/*vectors contains bounds for normalization*/
std::vector < eoRealInterval > bounds;
ObjectiveVector ref_point;
};