moeoHyperVolumeUnaryMetric added (not finished)
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1230 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
jhumeau
parent
d47bd8319f
commit
8cc7aa85b8
1 changed files with 286 additions and 0 deletions
286
trunk/paradiseo-moeo/src/metric/moeoHyperVolumeUnaryMetric.h
Normal file
286
trunk/paradiseo-moeo/src/metric/moeoHyperVolumeUnaryMetric.h
Normal file
|
|
@ -0,0 +1,286 @@
|
|||
/*
|
||||
* <moeoHyperVolumeUnaryMetric.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
*
|
||||
* Jeremie Humeau
|
||||
* 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
|
||||
* with loading, using, modifying and/or developing or reproducing the
|
||||
* 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
|
||||
* professionals having in-depth computer knowledge. Users are therefore
|
||||
* encouraged to load and test the software's suitability as regards their
|
||||
* requirements in conditions enabling the security of their systems and/or
|
||||
* data to be ensured and, more generally, to use and operate it in the
|
||||
* same conditions as regards security.
|
||||
* The fact that you are presently reading this means that you have had
|
||||
* knowledge of the CeCILL license and that you accept its terms.
|
||||
*
|
||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
||||
* Contact: paradiseo-help@lists.gforge.inria.fr
|
||||
*
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOHYPERVOLUMEUNARYMETRIC_H_
|
||||
#define MOEOHYPERVOLUMEUNARYMETRIC_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 ObjectiveVector >
|
||||
class moeoHyperVolumeUnaryMetric : public moeoVectorUnaryMetric < ObjectiveVector , double >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Default Construtcor
|
||||
* @param _normalize allow to normalize data (default true)
|
||||
*/
|
||||
moeoHyperVolumeUnaryMetric(bool _normalize=true, double _rho=1.1): normalize(_normalize), rho(_rho){
|
||||
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 > & _set)
|
||||
{
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
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 > & _set){
|
||||
if(_set.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 = _set[0][i];
|
||||
max = _set[0][i];
|
||||
for (unsigned int j=1; j<_set.size(); j++){
|
||||
min = std::min(min, _set[j][i]);
|
||||
max = std::max(max, _set[j][i]);
|
||||
}
|
||||
bounds[i] = eoRealInterval(min, max);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* method calculate if a point dominates another one regarding the x first objective
|
||||
* @param _point1 a vector of distances
|
||||
* @param _point2 a vector of distances
|
||||
* @param _no_objectives a number of objectives
|
||||
* @return true if '_point1' dominates '_point2' with respect to the first 'no_objectives' objectives
|
||||
*/
|
||||
bool dominates(std::vector<double>& _point1, std::vector<double>& _point2, unsigned int _no_objectives){
|
||||
unsigned int i;
|
||||
bool better_in_any_objective = false;
|
||||
bool worse_in_any_objective = false;
|
||||
|
||||
for(i=0; i < _no_objectives && !worse_in_any_objective; i++){
|
||||
if(_point1[i] > _point2[i])
|
||||
better_in_any_objective = true;
|
||||
else if(_point1[i] < _point2[i])
|
||||
worse_in_any_objective = true;
|
||||
}
|
||||
//_point1 dominates _point2 if it is better than _point2 on a objective and if it is never worse in any other objectives
|
||||
return(!worse_in_any_objective && better_in_any_objective);
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* swap two elements of a vector
|
||||
* @param _front the vector
|
||||
* @param _i index of the first element to swap
|
||||
* @param _j index of the second element to swap
|
||||
*/
|
||||
void swap(std::vector< std::vector<double> >& _front, unsigned int _i, unsigned int _j){
|
||||
_front.push_back(_front[_i]);
|
||||
_front[_i]= _front[_j];
|
||||
_front[_j]=_front.back();
|
||||
_front.pop_back();
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* collect all nondominated points regarding the first '_no_objectives' objectives (dominated points are stored at the end of _front)
|
||||
* @param _front the front
|
||||
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
|
||||
* @param _no_objectives the number of objective to consider
|
||||
* @return the index of the last nondominated point
|
||||
*/
|
||||
unsigned int filter_nondominated_set( std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _no_objectives){
|
||||
unsigned int i,j,n;
|
||||
|
||||
n=_no_points;
|
||||
i=0;
|
||||
while(i < n){
|
||||
j=i+1;
|
||||
while(j < n){
|
||||
//if a point 'A' (index i) dominates another one 'B' (index j), swap 'B' with the point of index n-1
|
||||
if( dominates(_front[i], _front[j], _no_objectives)){
|
||||
n--;
|
||||
swap(_front, j, n);
|
||||
}
|
||||
//if a point 'B'(index j) dominates another one 'A' (index i), swap 'A' with the point of index n-1
|
||||
else if( dominates(_front[j], _front[i], _no_objectives)){
|
||||
n--;
|
||||
swap(_front, i, n);
|
||||
i--;
|
||||
break;
|
||||
}
|
||||
else
|
||||
j++;
|
||||
}
|
||||
i++;
|
||||
}
|
||||
return n;
|
||||
}
|
||||
|
||||
/**
|
||||
* @param _front the front
|
||||
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
|
||||
* @param _objective the objective to consider
|
||||
* @return the minimum value regarding dimension '_objective' consider points O to _no_points in '_front'
|
||||
*/
|
||||
double surface_unchanged_to(std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _objective){
|
||||
unsigned int i;
|
||||
double min, value;
|
||||
|
||||
if(_no_points < 1)
|
||||
throw("Error in moeoHyperVolumeUnaryMetric::surface_unchanged_to -> argument2: _no_points must be greater than 0");
|
||||
min = _front[0][_objective];
|
||||
|
||||
for(i=1; i < _no_points; i++){
|
||||
value = _front[i][_objective];
|
||||
if(value < min)
|
||||
min = value;
|
||||
}
|
||||
return min;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* remove all points having a value <= 'threshold' regarding the dimension 'objective', only points of index 0 to _no_points are considered.
|
||||
* points removed are swap at the end of the front.
|
||||
* @param _front the front
|
||||
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
|
||||
* @param _objective the objective to consider
|
||||
* @param _threshold the threshold
|
||||
* @return index of the last points of '_front' greater than the threshold
|
||||
*/
|
||||
unsigned int reduce_nondominated_set(std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _objective, double _threshold){
|
||||
unsigned int i,n ;
|
||||
|
||||
n=_no_points;
|
||||
for(i=0; i < n ; i++)
|
||||
if(_front[i][_objective] <= _threshold){
|
||||
n--;
|
||||
swap(_front, i, n);
|
||||
i--; //ATTENTION I had this to reconsider the point copied to index i (it can be useless verify algorythimic in calc_hypervolume)
|
||||
}
|
||||
|
||||
return n;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* calculate hypervolume of the front (data are redrafted before)
|
||||
* @param _front the front
|
||||
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
|
||||
* @param _no_objectives the number of objective to consider
|
||||
* @return the hypervolume of the front
|
||||
*/
|
||||
double calc_hypervolume(std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _no_objectives){
|
||||
unsigned int n;
|
||||
double volume, distance;
|
||||
|
||||
volume=0;
|
||||
distance=0;
|
||||
n=_no_points;
|
||||
while(n > 0){
|
||||
unsigned int no_nondominated_points;
|
||||
double temp_vol, temp_dist;
|
||||
|
||||
//get back the index of non dominated points of the front regarding the first "_nb_objectives - 1" objectives
|
||||
//So one dimension is not determinante for the dominance
|
||||
no_nondominated_points = filter_nondominated_set(_front, n, _no_objectives - 1);
|
||||
|
||||
temp_vol=0;
|
||||
|
||||
//if there are less than 3 objectifs take the fisrt objectif of the first point of front to begin computation of hypervolume
|
||||
if(_no_objectives < 3){
|
||||
if(_no_objectives < 1)
|
||||
throw("Error in moeoHyperVolumeUnaryMetric::calc_hypervolume -> argument3: _no_objectives must be greater than 0");
|
||||
temp_vol=_front[0][0];
|
||||
}
|
||||
//else if there at least 3 objectives, a recursive computation of hypervolume starts with _no_objectives -1 on the filter_nondominated_set calculating previously.
|
||||
else
|
||||
temp_vol= calc_hypervolume(_front, no_nondominated_points, _no_objectives - 1);
|
||||
|
||||
//search the next minimum distance on the dimension _no_objectives -1
|
||||
temp_dist = surface_unchanged_to(_front, n, _no_objectives - 1);
|
||||
//calculate the area
|
||||
volume+= temp_vol * (temp_dist - distance);
|
||||
//change distance to have the good lenght on next step
|
||||
distance= temp_dist;
|
||||
//remove all points <= distance on dimension _no_objectives
|
||||
n=reduce_nondominated_set(_front, n , _no_objectives - 1, distance);
|
||||
}
|
||||
return volume;
|
||||
}
|
||||
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/*boolean indicates if data must be normalized or not*/
|
||||
bool normalize;
|
||||
|
||||
double rho;
|
||||
|
||||
/*vectors contains bounds for normalization*/
|
||||
std::vector < eoRealInterval > bounds;
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOHYPERVOLUMEUNARYMETRIC_H_*/
|
||||
Loading…
Add table
Add a link
Reference in a new issue