Migration from SVN
This commit is contained in:
quemy
parent
d7d6c3a217
commit
8cd56f37db
29069 changed files with 0 additions and 4096888 deletions
304
moeo/src/utils/moeoObjectiveVectorNormalizer.h
Normal file
304
moeo/src/utils/moeoObjectiveVectorNormalizer.h
Normal file
|
|
@ -0,0 +1,304 @@
|
|||
/*
|
||||
* <moeoObjectiveVectorNormalizer.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2009
|
||||
*
|
||||
* Legillon François
|
||||
*
|
||||
*
|
||||
* 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 MOEOOBJVECNORM_H_
|
||||
#define MOEOOBJVECNORM_H_
|
||||
#include <eoPop.h>
|
||||
#include <utils/eoRealBounds.h>
|
||||
/**
|
||||
class to normalize each dimension of objectiveVectors
|
||||
*/
|
||||
template <class MOEOT>
|
||||
class moeoObjectiveVectorNormalizer
|
||||
{
|
||||
public:
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
typedef typename MOEOT::ObjectiveVector::Type Type;
|
||||
typedef typename std::vector<std::vector<Type> > Scale;
|
||||
typedef eoRealInterval Bounds;
|
||||
|
||||
|
||||
|
||||
/**
|
||||
constructor with a supplied scale, usefull if you tweak your scale
|
||||
@param _scale the scale for noramlzation
|
||||
@param max_param the returned values will be between 0 and max
|
||||
*/
|
||||
moeoObjectiveVectorNormalizer(Scale _scale=make_dummy_scale(),Type max_param=100):scale(_scale),max(max_param)
|
||||
{}
|
||||
/**
|
||||
constructor to create a normalizer from a given population
|
||||
@param _pop the population to analyse to create the scale
|
||||
@param max_param the returned values will be between 0 and max
|
||||
*/
|
||||
moeoObjectiveVectorNormalizer(eoPop<MOEOT> &_pop, Type max_param=100):scale(make_scale_from_pop(_pop,max_param)),max(max_param)
|
||||
{}
|
||||
/**
|
||||
constructor to create a normalizer with given boundaries
|
||||
@param _boundaries the supplied vectors should have their values between thos boundaries
|
||||
@param max_param the returned values will be between 0 and max
|
||||
**/
|
||||
moeoObjectiveVectorNormalizer(std::vector<Bounds> &_boundaries, Type max_param=100):scale(make_scale_from_bounds(_boundaries,max_param)), max(max_param)
|
||||
{}
|
||||
/**
|
||||
constructor to create a normalizer from bounds
|
||||
@param _bounds the supplied vectors should have their value in those bounds
|
||||
@param max_param the returned values will be between 0 and max
|
||||
**/
|
||||
moeoObjectiveVectorNormalizer(Bounds &_bounds, Type max_param=100 ):scale(make_scale_from_bounds(_bounds,max_param)), max(max_param)
|
||||
{}
|
||||
/**
|
||||
constructor to create a normalizer from a worst vector and a best vector
|
||||
@param _worst the worst possible vector
|
||||
@param _best the best possible vector
|
||||
@param max_param the maximum value for returned objectives
|
||||
*/
|
||||
moeoObjectiveVectorNormalizer(const ObjectiveVector &_best,const ObjectiveVector &_worst, Type max_param=100 ):scale(make_scale_from_minmax(_best,_worst,max_param)), max(max_param)
|
||||
{}
|
||||
|
||||
|
||||
/**
|
||||
* Creates a scale which can be used in conjonction with a normalizer
|
||||
* @param _pop the population to analyse
|
||||
* @param max_param worst vector is set to it
|
||||
* @return a scale to use with the normalizer
|
||||
*/
|
||||
static Scale make_scale_from_pop(eoPop<MOEOT> &_pop, Type max_param=100){
|
||||
Scale res;
|
||||
if (_pop.empty()) {
|
||||
std::cout<<"makeScale in moeoObjectiveVEctorNormalizer.h: pop is empty"<<std::endl;
|
||||
return res;
|
||||
}
|
||||
unsigned int dim=_pop[0].objectiveVector().nObjectives();
|
||||
std::vector<Type> amps;
|
||||
std::vector<Type> mins;
|
||||
unsigned int num_amp_max=0;
|
||||
//recherche des min et du max, par dimension
|
||||
for (unsigned int i=0;i<dim;i++){
|
||||
Type min=_pop[0].objectiveVector()[i];
|
||||
Type max=_pop[0].objectiveVector()[i];
|
||||
unsigned int pop_size=_pop.size();
|
||||
for (unsigned int j=0;j<pop_size;j++){
|
||||
if (_pop[j].objectiveVector()[i]< min) min=_pop[j].objectiveVector()[i];
|
||||
if (_pop[j].objectiveVector()[i]> max) max=_pop[j].objectiveVector()[i];
|
||||
}
|
||||
amps.push_back(max-min);
|
||||
mins.push_back(min);
|
||||
if (max-min>amps[num_amp_max])
|
||||
num_amp_max=i;
|
||||
}
|
||||
Type amp_max=amps[num_amp_max];
|
||||
for (unsigned int i=0;i<dim;i++){
|
||||
std::vector<Type> coefs;
|
||||
if(!max_param){
|
||||
coefs.push_back(amps[i]==0?1:amp_max/amps[i]);
|
||||
}
|
||||
else{
|
||||
coefs.push_back(amps[i]==0?1:max_param/amps[i]);
|
||||
}
|
||||
|
||||
coefs.push_back(mins[i]);
|
||||
res.push_back(coefs);
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
/**
|
||||
create a scale from bounds
|
||||
@param _boundaries the boundaries
|
||||
@param max the maximum for returned values
|
||||
@return a scale
|
||||
*/
|
||||
static Scale make_scale_from_bounds(const std::vector<Bounds> &_boundaries,Type max=100){
|
||||
Scale res;
|
||||
for (unsigned i=0;i<_boundaries.size();i++){
|
||||
std::vector<Type> coeff;
|
||||
coeff.push_back(max/(_boundaries[i].maximum()-_boundaries[i].minimum()));
|
||||
coeff.push_back(_boundaries[i].minimum());
|
||||
res.push_back(coeff);
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
/**
|
||||
create a scale from bounds
|
||||
@param bounds the bounds (the same for each dimension)
|
||||
@param max the maximum for returned values
|
||||
@return a scale
|
||||
*/
|
||||
static Scale make_scale_from_bounds(const Bounds &bounds,Type max=100){
|
||||
Scale res;
|
||||
unsigned int dim=MOEOT::ObjectiveVector::nObjectives();
|
||||
for (unsigned i=0;i<dim;i++){
|
||||
std::vector<Type> coeff;
|
||||
coeff.push_back(max/(bounds.maximum()-bounds.minimum()));
|
||||
coeff.push_back(bounds.minimum());
|
||||
res.push_back(coeff);
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
/**
|
||||
create a scale from a point with minimums in each dimension, and a point with ther max in each dimension
|
||||
@param best the point with all mins
|
||||
@param worst the point with all maxs
|
||||
@param max the maximum for returned values
|
||||
@return a scale
|
||||
*/
|
||||
static Scale make_scale_from_minmax(const ObjectiveVector &best, const ObjectiveVector &worst,Type max=100){
|
||||
Scale res;
|
||||
for (unsigned i=0;i<worst.nObjectives();i++){
|
||||
std::vector<Type> coeff;
|
||||
coeff.push_back(max/(worst[i]-best[i]));
|
||||
coeff.push_back(best[i]);
|
||||
res.push_back(coeff);
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
/**
|
||||
create a default scale that does nothing when applied
|
||||
@return a dummy scale
|
||||
*/
|
||||
static Scale make_dummy_scale(){
|
||||
unsigned int dim=MOEOT::ObjectiveVector::nObjectives();
|
||||
Scale res;
|
||||
for (unsigned int i=0;i<dim;i++){
|
||||
std::vector<Type> coeff;
|
||||
coeff.push_back(1);
|
||||
coeff.push_back(0);
|
||||
res.push_back(coeff);
|
||||
}
|
||||
return res;
|
||||
}
|
||||
/**
|
||||
* main fonction, normalize a vector. All objective returned vectors will be between 0 and max previously
|
||||
* supplied, be carefull about a possible rounding error.
|
||||
* @param _vec the vector
|
||||
* @return the normalized vector
|
||||
*/
|
||||
virtual ObjectiveVector operator()(const ObjectiveVector &_vec){
|
||||
unsigned int dim=_vec.nObjectives();
|
||||
ObjectiveVector res;
|
||||
for (unsigned int i=0;i<dim;i++){
|
||||
res[i]=(_vec[i]-scale[i][1])*scale[i][0];
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
/**
|
||||
normalize a population
|
||||
@param pop the population to normalize
|
||||
@return a vector of normalized Objective vectors
|
||||
*/
|
||||
std::vector<ObjectiveVector> operator()(const eoPop<MOEOT> &pop){
|
||||
std::vector<ObjectiveVector> res;
|
||||
for (unsigned int i=0;i<pop.size();i++){
|
||||
res.push_back(operator()(pop[i].objectiveVector()));
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
/**
|
||||
fast(to use, not in complexity) function to normalize a population
|
||||
@param pop the population to normalize
|
||||
@param max the returned values will be between 0 and max
|
||||
@return a vector of normalized Objective vectors < max
|
||||
*/
|
||||
static std::vector<ObjectiveVector> normalize(const eoPop<MOEOT> &pop, Type &max){
|
||||
moeoObjectiveVectorNormalizer normalizer(pop,true, max);
|
||||
return normalizer(pop);
|
||||
}
|
||||
|
||||
/**
|
||||
Change the scale according to a new pop. Should be called everytime pop is updated
|
||||
@param pop population to analyse
|
||||
*/
|
||||
void update_by_pop(eoPop<MOEOT> pop){
|
||||
scale=make_scale_from_pop(pop,max);
|
||||
}
|
||||
|
||||
/** change the scale with the worst point and the best point
|
||||
@param _max the worst point
|
||||
@param _min the best point
|
||||
*/
|
||||
void update_by_min_max(const ObjectiveVector &_min,const ObjectiveVector &_max){
|
||||
scale=make_scale_from_minmax(_min,_max,max);
|
||||
}
|
||||
|
||||
/** change the scale according to given boundaries
|
||||
@param boundaries a vector of bounds corresponding to the bounds in each dimension
|
||||
*/
|
||||
void update_by_bounds(const std::vector<Bounds> &boundaries){
|
||||
scale=make_scale_from_bounds(boundaries);
|
||||
}
|
||||
/** change the scale according to bounds,them same is used in each dimension
|
||||
@param bounds bounds corresponding to the bounds in each dimension
|
||||
*/
|
||||
void update_by_bounds(const Bounds &bounds){
|
||||
scale=make_scale_from_bounds(bounds);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
updates the scale
|
||||
@param _scale the new scale
|
||||
*/
|
||||
void update_scale(Scale _scale){
|
||||
scale=_scale;
|
||||
}
|
||||
|
||||
/**
|
||||
change the maximum returned by the normalizer (if the scale is adapted)
|
||||
@param _max the maximum returned
|
||||
*/
|
||||
void change_max(Type _max){
|
||||
for (unsigned int i=0;i<scale.size();i++){
|
||||
if (max) scale[i][0]=scale[i][0]*_max/max;
|
||||
|
||||
|
||||
}
|
||||
max=_max;
|
||||
}
|
||||
|
||||
private:
|
||||
Scale scale;
|
||||
Type max;
|
||||
|
||||
|
||||
};
|
||||
#endif
|
||||
Loading…
Add table
Add a link
Reference in a new issue