New style for MOEO
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@788 331e1502-861f-0410-8da2-ba01fb791d7f
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103 changed files with 2607 additions and 2521 deletions
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@ -1,4 +1,4 @@
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/*
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/*
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* <moeoEntropyMetric.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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@ -48,52 +48,55 @@
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*/
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template < class ObjectiveVector >
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class moeoEntropyMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
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{
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public:
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{
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public:
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/**
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* Returns the entropy of the Pareto set '_set1' relatively to the Pareto set '_set2'
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* @param _set1 the first Pareto set
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* @param _set2 the second Pareto set
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*/
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double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
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// normalization
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std::vector< ObjectiveVector > set1 = _set1;
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std::vector< ObjectiveVector > set2= _set2;
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removeDominated (set1);
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removeDominated (set2);
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prenormalize (set1);
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normalize (set1);
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normalize (set2);
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double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
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{
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// normalization
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std::vector< ObjectiveVector > set1 = _set1;
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std::vector< ObjectiveVector > set2= _set2;
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removeDominated (set1);
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removeDominated (set2);
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prenormalize (set1);
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normalize (set1);
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normalize (set2);
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// making of PO*
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std::vector< ObjectiveVector > star; // rotf :-)
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computeUnion (set1, set2, star);
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removeDominated (star);
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// making of PO*
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std::vector< ObjectiveVector > star; // rotf :-)
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computeUnion (set1, set2, star);
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removeDominated (star);
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// making of PO1 U PO*
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std::vector< ObjectiveVector > union_set1_star; // rotf again ...
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computeUnion (set1, star, union_set1_star);
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// making of PO1 U PO*
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std::vector< ObjectiveVector > union_set1_star; // rotf again ...
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computeUnion (set1, star, union_set1_star);
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unsigned int C = union_set1_star.size();
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float omega=0;
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float entropy=0;
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unsigned int C = union_set1_star.size();
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float omega=0;
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float entropy=0;
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for (unsigned int i=0 ; i<C ; i++) {
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unsigned int N_i = howManyInNicheOf (union_set1_star, union_set1_star[i], star.size());
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unsigned int n_i = howManyInNicheOf (set1, union_set1_star[i], star.size());
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if (n_i > 0) {
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omega += 1.0 / N_i;
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entropy += (float) n_i / (N_i * C) * log (((float) n_i / C) / log (2.0));
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for (unsigned int i=0 ; i<C ; i++)
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{
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unsigned int N_i = howManyInNicheOf (union_set1_star, union_set1_star[i], star.size());
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unsigned int n_i = howManyInNicheOf (set1, union_set1_star[i], star.size());
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if (n_i > 0)
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{
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omega += 1.0 / N_i;
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entropy += (float) n_i / (N_i * C) * log (((float) n_i / C) / log (2.0));
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}
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}
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entropy /= - log (omega);
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entropy *= log (2.0);
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return entropy;
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entropy /= - log (omega);
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entropy *= log (2.0);
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return entropy;
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}
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private:
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private:
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/** vector of min values */
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std::vector<double> vect_min_val;
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@ -107,19 +110,22 @@ private:
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* Removes the dominated individuals contained in _f
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* @param _f a Pareto set
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*/
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void removeDominated(std::vector < ObjectiveVector > & _f) {
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for (unsigned int i=0 ; i<_f.size(); i++) {
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bool dom = false;
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for (unsigned int j=0; j<_f.size(); j++)
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if (i != j && paretoComparator(_f[i],_f[j]))
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{
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dom = true;
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break;
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}
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if (dom) {
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_f[i] = _f.back();
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_f.pop_back();
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i--;
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void removeDominated(std::vector < ObjectiveVector > & _f)
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{
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for (unsigned int i=0 ; i<_f.size(); i++)
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{
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bool dom = false;
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for (unsigned int j=0; j<_f.size(); j++)
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if (i != j && paretoComparator(_f[i],_f[j]))
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{
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dom = true;
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break;
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}
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if (dom)
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{
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_f[i] = _f.back();
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_f.pop_back();
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i--;
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}
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}
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}
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@ -129,20 +135,23 @@ private:
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* Prenormalization
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* @param _f a Pareto set
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*/
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void prenormalize (const std::vector< ObjectiveVector > & _f) {
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vect_min_val.clear();
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vect_max_val.clear();
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void prenormalize (const std::vector< ObjectiveVector > & _f)
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{
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vect_min_val.clear();
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vect_max_val.clear();
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for (unsigned int i=0 ; i<ObjectiveVector::nObjectives(); i++) {
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float min_val = _f.front()[i], max_val = min_val;
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for (unsigned int j=1 ; j<_f.size(); j++) {
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if (_f[j][i] < min_val)
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min_val = _f[j][i];
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if (_f[j][i]>max_val)
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max_val = _f[j][i];
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for (unsigned int i=0 ; i<ObjectiveVector::nObjectives(); i++)
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{
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float min_val = _f.front()[i], max_val = min_val;
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for (unsigned int j=1 ; j<_f.size(); j++)
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{
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if (_f[j][i] < min_val)
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min_val = _f[j][i];
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if (_f[j][i]>max_val)
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max_val = _f[j][i];
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}
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vect_min_val.push_back(min_val);
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vect_max_val.push_back (max_val);
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vect_min_val.push_back(min_val);
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vect_max_val.push_back (max_val);
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}
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}
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@ -151,10 +160,11 @@ private:
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* Normalization
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* @param _f a Pareto set
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*/
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void normalize (std::vector< ObjectiveVector > & _f) {
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for (unsigned int i=0 ; i<ObjectiveVector::nObjectives(); i++)
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for (unsigned int j=0; j<_f.size(); j++)
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_f[j][i] = (_f[j][i] - vect_min_val[i]) / (vect_max_val[i] - vect_min_val[i]);
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void normalize (std::vector< ObjectiveVector > & _f)
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{
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for (unsigned int i=0 ; i<ObjectiveVector::nObjectives(); i++)
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for (unsigned int j=0; j<_f.size(); j++)
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_f[j][i] = (_f[j][i] - vect_min_val[i]) / (vect_max_val[i] - vect_min_val[i]);
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}
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@ -164,17 +174,20 @@ private:
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* @param _f2 the second Pareto set
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* @param _f the final Pareto set
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*/
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void computeUnion(const std::vector< ObjectiveVector > & _f1, const std::vector< ObjectiveVector > & _f2, std::vector< ObjectiveVector > & _f) {
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_f = _f1 ;
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for (unsigned int i=0; i<_f2.size(); i++) {
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bool b = false;
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for (unsigned int j=0; j<_f1.size(); j ++)
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if (_f1[j] == _f2[i]) {
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b = true;
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break;
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}
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if (! b)
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_f.push_back(_f2[i]);
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void computeUnion(const std::vector< ObjectiveVector > & _f1, const std::vector< ObjectiveVector > & _f2, std::vector< ObjectiveVector > & _f)
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{
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_f = _f1 ;
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for (unsigned int i=0; i<_f2.size(); i++)
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{
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bool b = false;
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for (unsigned int j=0; j<_f1.size(); j ++)
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if (_f1[j] == _f2[i])
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{
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b = true;
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break;
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}
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if (! b)
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_f.push_back(_f2[i]);
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}
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}
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@ -182,26 +195,29 @@ private:
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/**
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* How many in niche
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*/
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unsigned int howManyInNicheOf (const std::vector< ObjectiveVector > & _f, const ObjectiveVector & _s, unsigned int _size) {
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unsigned int n=0;
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for (unsigned int i=0 ; i<_f.size(); i++) {
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if (euclidianDistance(_f[i], _s) < (_s.size() / (double) _size))
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n++;
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unsigned int howManyInNicheOf (const std::vector< ObjectiveVector > & _f, const ObjectiveVector & _s, unsigned int _size)
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{
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unsigned int n=0;
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for (unsigned int i=0 ; i<_f.size(); i++)
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{
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if (euclidianDistance(_f[i], _s) < (_s.size() / (double) _size))
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n++;
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}
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return n;
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return n;
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}
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/**
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* Euclidian distance
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*/
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double euclidianDistance (const ObjectiveVector & _set1, const ObjectiveVector & _to, unsigned int _deg = 2) {
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double dist=0;
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for (unsigned int i=0; i<_set1.size(); i++)
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dist += pow(fabs(_set1[i] - _to[i]), (int)_deg);
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return pow(dist, 1.0 / _deg);
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double euclidianDistance (const ObjectiveVector & _set1, const ObjectiveVector & _to, unsigned int _deg = 2)
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{
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double dist=0;
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for (unsigned int i=0; i<_set1.size(); i++)
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dist += pow(fabs(_set1[i] - _to[i]), (int)_deg);
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return pow(dist, 1.0 / _deg);
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}
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};
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};
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#endif /*MOEOENTROPYMETRIC_H_*/
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