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133
tags/paradiseo-1.3-beta2/paradiseo-mo/src/explorer/moVNSexplorer.h
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@ -1,133 +0,0 @@
/*
<moVNSexplorer.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moVNSexplorer_h
#define _moVNSexplorer_h
#include <explorer/moNeighborhoodExplorer.h>
#include <comparator/moNeighborComparator.h>
#include <comparator/moSolNeighborComparator.h>
/**
* Explorer for Variiable Neighborhood Search
*/
template< class EOT >
class moVNSexplorer : public moNeighborhoodExplorer< moNeighborhood< moNeighbor<EOT, typename EOT::Fitness> > >
{
public:
typedef typename EOT::Fitness Fitness ;
typedef moNeighbor<EOT, Fitness> Neighbor ;
typedef moNeighborhood<Neighbor> Neighborhood ;
using moNeighborhoodExplorer<Neighborhood>::neighborhood;
using moNeighborhoodExplorer<Neighborhood>::eval;
/**
* Constructor
* @param _neighborhood the neighborhood
* @param _eval the evaluation function
* @param _neighborComparator a neighbor comparator
* @param _solNeighborComparator solution vs neighbor comparator
*/
moVNSexplorer(Neighborhood& _neighborhood, moEval<Neighbor>& _eval, moNeighborComparator<Neighbor>& _neighborComparator, moSolNeighborComparator<Neighbor>& _solNeighborComparator) : moNeighborhoodExplorer<Neighborhood>(_neighborhood, _eval), neighborComparator(_neighborComparator), solNeighborComparator(_solNeighborComparator) {
}
/**
* Destructor
*/
~moVNSexplorer() {
}
/**
* initParam: NOTHING TO DO
*/
virtual void initParam(EOT & solution) {};
/**
* updateParam: NOTHING TO DO
*/
virtual void updateParam(EOT & solution) {};
/**
* terminate: NOTHING TO DO
*/
virtual void terminate(EOT & solution) {};
/**
* Explore the neighborhood of a solution
* @param _solution
*/
virtual void operator()(EOT & _solution) {
};
/**
* continue if a move is accepted
* @param _solution the solution
* @return true if an ameliorated neighbor was be found
*/
virtual bool isContinue(EOT & _solution) {
return isAccept ;
};
/**
* move the solution with the best neighbor
* @param _solution the solution to move
*/
virtual void move(EOT & _solution) {
//move the solution
(*best).move(_solution);
//update its fitness
_solution.fitness((*best).fitness());
};
/**
* accept test if an amelirated neighbor was be found
* @param _solution the solution
* @return true if the best neighbor ameliorate the fitness
*/
virtual bool accept(EOT & _solution) {
};
/**
* Return the class id.
* @return the class name as a std::string
*/
virtual std::string className() const {
return "moVNSexplorer";
}
private:
// comparator betwenn solution and neighbor or between neighbors
moNeighborComparator<Neighbor>& neighborComparator;
moSolNeighborComparator<Neighbor>& solNeighborComparator;
};
#endif

2
tags/paradiseo-1.3-beta2/paradiseo-mo/src/mo.h
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@ -148,8 +148,6 @@
#include <perturb/moSolInit.h> #include <perturb/moSolInit.h>
#include <problems/bitString/moBitNeighbor.h> #include <problems/bitString/moBitNeighbor.h>
#include <problems/bitString/moPopBitNeighbor.h>
#include <problems/bitString/moPopSol.h>
#include <problems/eval/moMaxSATincrEval.h> #include <problems/eval/moMaxSATincrEval.h>
#include <problems/eval/moOneMaxIncrEval.h> #include <problems/eval/moOneMaxIncrEval.h>
#include <problems/eval/moRoyalRoadIncrEval.h> #include <problems/eval/moRoyalRoadIncrEval.h>

84
tags/paradiseo-1.3-beta2/paradiseo-mo/src/neighborhood/moBackwardVariableNeighborhood.h
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@ -1,84 +0,0 @@
/*
<moBackwardVariableNeighborhood.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moBackwardVariableNeighborhood_h
#define _moBackwardVariableNeighborhood_h
#include <neighborhood/moVariableNeighborhood.h>
/**
* A variable Neighborhood Search (VNS) in the Backward manner
*/
template< class EOT >
class moBackwardVariableNeighborhood : public moVariableNeighborhood<EOT>
{
public:
typedef moNeighbor<EOT> Neighbor;
using moVariableNeighborhood<EOT>::currentNH;
using moVariableNeighborhood<EOT>::neighborhoodVector;
/**
* Construction of at least one neighborhood
* @param _firstNH first neighborhood in the vector
*/
moBackwardVariableNeighborhood(moNeighborhood<Neighbor>& _firstNH) : moVariableNeighborhood<EOT>(_firstNH) { }
/**
* Return the class id.
* @return the class name as a std::string
*/
virtual std::string className() const {
return "moBackwardVariableNeighborhood";
}
/**
* test if there is still some neighborhood to explore
* @return true if there is some neighborhood to explore
*/
virtual bool contNeighborhood() {
return (currentNH > 0);
}
/**
* put the current neighborhood on the last one
*/
virtual void initNeighborhood() {
currentNH = neighborhoodVector.size() - 1;
}
/**
* put the current neighborhood on the next one
*/
virtual void nextNeighborhood() {
currentNH--;
}
};
#endif

86
tags/paradiseo-1.3-beta2/paradiseo-mo/src/neighborhood/moForwardVariableNeighborhood.h
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@ -1,86 +0,0 @@
/*
<moForwardVariableNeighborhood.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moForwardVariableNeighborhood_h
#define _moForwardVariableNeighborhood_h
#include <neighborhood/moVariableNeighborhood.h>
/**
* A variable Neighborhood Search (VNS) in the forward manner
*/
template< class EOT >
class moForwardVariableNeighborhood : public moVariableNeighborhood<EOT>
{
public:
typedef moNeighbor<EOT> Neighbor;
using moVariableNeighborhood<EOT>::currentNH;
using moVariableNeighborhood<EOT>::neighborhoodVector;
/**
* Construction of at least one neighborhood
* @param _firstNH first neighborhood in the vector
*/
moForwardVariableNeighborhood(moNeighborhood<Neighbor>& _firstNH) : moVariableNeighborhood<EOT>(_firstNH) { }
/**
* Return the class id.
* @return the class name as a std::string
*/
virtual std::string className() const {
return "moForwardVariableNeighborhood";
}
/**
* test if there is still some neighborhood to explore
* @return true if there is some neighborhood to explore
*/
virtual bool contNeighborhood() {
return (currentNH < neighborhoodVector.size() - 1);
}
/**
* put the current neighborhood on the first one
*/
virtual void initNeighborhood() {
currentNH = 0;
}
/**
* put the current neighborhood on the next one
*/
virtual void nextNeighborhood() {
currentNH++;
}
};
#endif

104
tags/paradiseo-1.3-beta2/paradiseo-mo/src/neighborhood/moRndVariableNeighborhood.h
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@ -1,104 +0,0 @@
/*
<moRndVariableNeighborhood.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moRndVariableNeighborhood_h
#define _moRndVariableNeighborhood_h
#include <neighborhood/moVariableNeighborhood.h>
#include <algorithm>
/**
* A variable Neighborhood Search (VNS) in the random manner
*/
template< class EOT, class Fitness >
class moRndVariableNeighborhood : public moVariableNeighborhood<EOT, Fitness>
{
public:
typedef moNeighbor<EOT, Fitness> Neighbor;
using moVariableNeighborhood<EOT, Fitness>::currentNH;
using moVariableNeighborhood<EOT, Fitness>::neighborhoodVector;
/**
* Construction of at least one neighborhood
* @param _firstNH first neighborhood in the vector
*/
moRndVariableNeighborhood(moNeighborhood<Neighbor>& _firstNH) : moVariableNeighborhood<EOT, Fitness>(_firstNH) {
indexVector.push_back(0);
}
/**
* to add a neighborhood in the vector
* @param _nh the neighborhood to add at the end of the vector of neighborhood
*/
virtual void add(moNeighborhood<Neighbor>& _nh) {
neighborhoodVector.push_back(_nh);
indexVector.push_back(indexVector.size());
}
/**
* Return the class id.
* @return the class name as a std::string
*/
virtual std::string className() const {
return "moRndVariableNeighborhood";
}
/**
* test if there is still some neighborhood to explore
* @return true if there is some neighborhood to explore
*/
virtual bool contNeighborhood() {
return (index < neighborhoodVector.size() - 1);
}
/**
* put the current neighborhood on the first one
*/
virtual void initNeighborhood() {
std::random_shuffle(indexVector.begin(), indexVector.end());
index = 0;
currentNH = indexVector[index];
}
/**
* put the current neighborhood on the next one
*/
virtual void nextNeighborhood() {
index++;
currentNH = indexVector[index];
}
private:
unsigned int index;
std::vector<unsigned int> indexVector;
};
#endif

139
tags/paradiseo-1.3-beta2/paradiseo-mo/src/neighborhood/moVariableNeighborhood.h
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@ -1,139 +0,0 @@
/*
<moVariableNeighborhood.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moVariableNeighborhood_h
#define _moVariableNeighborhood_h
#include <neighborhood/moNeighborhood.h>
#include <neighborhood/moNeighbor.h>
#include <neighborhood/moIndexNeighbor.h>
#include <vector>
/**
* A vector of neighborhood for the Variable Neighborhood Search (VNS)
*/
template< class EOT >
class moVariableNeighborhood : public moNeighborhood<moNeighbor<EOT> >
{
public:
typedef moNeighbor<EOT> Neighbor;
/**
* Construction of at least one neighborhood
* @param _firstNH first neighborhood in the vector
*/
moVariableNeighborhood(moNeighborhood<Neighbor>& _firstNH) {
neighborhoodVector.push_back(&_firstNH);
// the current neighborhood
currentNH = 0;
}
/**
* @return if the current neighborhood is random
*/
virtual bool isRandom() {
return neighborhoodVector[currentNH]->isRandom();
}
/**
* Test if a solution has a Neighbor in the current neighborhood
* @param _solution the related solution
* @return if _solution has a Neighbor in the current neighborhood
*/
virtual bool hasNeighbor(EOT & _solution) {
return neighborhoodVector[currentNH]->hasNeighbor(_solution);
}
/**
* Initialization of the current neighborhood
* @param _solution the solution to explore
* @param _current the first neighbor in the current neighborhood
*/
virtual void init(EOT & _solution, Neighbor & _current) {
neighborhoodVector[currentNH]->init(_solution, _current);
}
/**
* Give the next neighbor in the current neighborhood
* @param _solution the solution to explore
* @param _current the next neighbor in the current neighborhood
*/
virtual void next(EOT & _solution, Neighbor & _current) {
neighborhoodVector[currentNH]->next(_solution, _current);
}
/**
* Test if there is again a neighbor in the current neighborhood
* @param _solution the solution to explore
* @return if there is still a neighbor not explored in the current neighborhood
*/
virtual bool cont(EOT & _solution) {
return neighborhoodVector[currentNH]->cont(_solution);
}
/**
* Return the class id.
* @return the class name as a std::string
*/
virtual std::string className() const {
return "moVariableNeighborhood";
}
/**
* to add a neighborhood in the vector
* @param _nh the neighborhood to add at the end of the vector of neighborhood
*/
virtual void add(moNeighborhood<Neighbor>& _nh) {
neighborhoodVector.push_back(&_nh);
}
/**
* test if there is still some neighborhood to explore
* @return true if there is some neighborhood to explore
*/
virtual bool contNeighborhood() = 0;
/**
* put the current neighborhood on the first one
*/
virtual void initNeighborhood() = 0;
/**
* put the current neighborhood on the next one
*/
virtual void nextNeighborhood() = 0;
protected:
// the vector of neighborhoods
std::vector<moNeighborhood<Neighbor>* > neighborhoodVector;
// the index of the current neighborhood
unsigned int currentNH;
};
#endif

115
tags/paradiseo-1.3-beta2/paradiseo-mo/src/problems/bitString/moPopBitNeighbor.h
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@ -1,115 +0,0 @@
/*
<moPopBitNeighbor.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moPopBitNeighbor_h
#define _moPopBitNeighbor_h
#include <eoPop.h>
#include <ga/eoBit.h>
#include <problems/bitString/moPopSol.h>
#include <neighborhood/moBackableNeighbor.h>
#include <neighborhood/moIndexNeighbor.h>
/**
* Neighbor related to a vector of Bit
*/
template< class Fitness >
class moPopBitNeighbor : public moIndexNeighbor< moPopSol<eoBit<Fitness> > >
{
public:
typedef moPopSol<eoBit<Fitness> > EOT ;
typedef eoBit<Fitness> SUBEOT;
using moIndexNeighbor<EOT>::fitness;
using moIndexNeighbor<EOT>::key;
/**
* move the solution
* @param _solution the solution to move
*/
virtual void move(EOT & _solution) {
if(_solution[0].size()>0){
unsigned size=_solution[0].size();
unsigned s = key/size;
unsigned b = key%size;
_solution[s][b] = !_solution[s][b];
_solution[s].fitness(subfit);
_solution.invalidate();
}
}
void setSubFit(Fitness _subfit){
subfit=_subfit;
}
/**
* return the class name
* @return the class name as a std::string
*/
virtual std::string className() const {
return "moPopBitNeighbor";
}
/**
* Read object.\
* Calls base class, just in case that one had something to do.
* The read and print methods should be compatible and have the same format.
* In principle, format is "plain": they just print a number
* @param _is a std::istream.
* @throw runtime_std::exception If a valid object can't be read.
*/
virtual void readFrom(std::istream& _is) {
std::string fitness_str;
int pos = _is.tellg();
_is >> fitness_str;
if (fitness_str == "INVALID") {
throw std::runtime_error("invalid fitness");
}
else {
Fitness repFit ;
_is.seekg(pos);
_is >> repFit;
_is >> key;
fitness(repFit);
}
}
/**
* Write object. Called printOn since it prints the object _on_ a stream.
* @param _os A std::ostream.
*/
virtual void printOn(std::ostream& _os) const {
_os << fitness() << ' ' << key << std::endl;
}
private:
Fitness subfit;
};
#endif

51
tags/paradiseo-1.3-beta2/paradiseo-mo/src/problems/bitString/moPopSol.h
View file

@ -1,51 +0,0 @@
/*
<moPopSol.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moPopSol_h
#define _moPopSol_h
#include <EO.h>
#include <eoPop.h>
template <class EOT>
class moPopSol : public EO<double>, public std::vector<EOT>{
public:
typedef typename EO<double>::Fitness Fitness;
using EO<double>::invalidate;
virtual void printOn(std::ostream& _os) const
{
_os << (*this).size() << " " << (*this).fitness() << '\n';
for(unsigned int i=0; i<(*this).size(); i++)
_os << (*this).operator[](i) << std::endl;
}
};
#endif

85
tags/paradiseo-1.3-beta2/paradiseo-mo/src/problems/eval/moPopBitEval.h
View file

@ -1,85 +0,0 @@
/*
<moPopBitEval.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
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 moPopBitEval_H
#define moPopBitEval_H
#include <eoFunctor.h>
#include <eval/moEval.h>
/**
* Abstract class for the evaluation
*/
template<class Neighbor>
class moPopBitEval : public moEval<Neighbor>
{
public:
typedef typename Neighbor::EOT EOT;
typedef typename Neighbor::SUBEOT SUBEOT;
typedef typename EOT::Fitness Fitness;
moPopBitEval(eoEvalFunc<SUBEOT>& _eval, unsigned int _p):eval(_eval), p(_p){
}
void operator()(EOT& _sol, Neighbor& _n){
if(_sol[0].size()>0){
unsigned int size=_sol[0].size();
unsigned int s=_n.index()/size;
unsigned int b=_n.index()%size;
subfit=_sol[s].fitness();
_sol[s][b]=!_sol[s][b];
_sol[s].invalidate();
eval(_sol[s]);
double fit=0;
for (unsigned int i = 0; i < _sol.size(); i++){
fit+=pow((double) _sol[i].fitness(), (int) p);
}
fit=pow((double) fit, (double)1/p);
_n.setSubFit(_sol[s].fitness());
_n.fitness(fit);
_sol[s][b]=!_sol[s][b];
_sol[s].fitness(subfit);
}
}
private:
eoEvalFunc<SUBEOT> & eval;
unsigned int p;
Fitness subfit;
};
#endif

1
tags/paradiseo-1.3-beta2/paradiseo-mo/tutorial/CMakeLists.txt
View file

@ -395,7 +395,6 @@ ADD_SUBDIRECTORY(Lesson4)
ADD_SUBDIRECTORY(Lesson5) ADD_SUBDIRECTORY(Lesson5)
ADD_SUBDIRECTORY(Lesson6) ADD_SUBDIRECTORY(Lesson6)
ADD_SUBDIRECTORY(Lesson7) ADD_SUBDIRECTORY(Lesson7)
ADD_SUBDIRECTORY(Lesson8)
IF(NOT CMAKE_GENERATOR STREQUAL "Visual Studio 8 2005" AND NOT CMAKE_GENERATOR STREQUAL "Visual Studio 9 2008" OR CMAKE_GENERATOR STREQUAL "Visual Studio 10") IF(NOT CMAKE_GENERATOR STREQUAL "Visual Studio 8 2005" AND NOT CMAKE_GENERATOR STREQUAL "Visual Studio 9 2008" OR CMAKE_GENERATOR STREQUAL "Visual Studio 10")
ADD_COMMANDS_NEWMO() ADD_COMMANDS_NEWMO()

10
tags/paradiseo-1.3-beta2/paradiseo-mo/tutorial/Lesson8/CMakeLists.txt
View file

@ -1,10 +0,0 @@
INCLUDE_DIRECTORIES(${EO_SRC_DIR}/src
${MO_SRC_DIR}/src
${PROBLEMS_SRC_DIR}
${CMAKE_CURRENT_SOURCE_DIR}/../src)
LINK_DIRECTORIES(${EO_BIN_DIR}/lib)
ADD_EXECUTABLE(testPopLS testPopLS.cpp)
TARGET_LINK_LIBRARIES(testPopLS eoutils ga eo)

95
tags/paradiseo-1.3-beta2/paradiseo-mo/tutorial/Lesson8/moPopFitContinuator.h
View file

@ -1,95 +0,0 @@
/*
<moPopFitContinuator.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _moPopFitContinuator_h
#define _moPopFitContinuator_h
#include <continuator/moContinuator.h>
/**
* Termination condition until a running time is reached.
*/
template < class Neighbor >
class moPopFitContinuator: public moContinuator<Neighbor>
{
public:
typedef typename Neighbor::EOT EOT;
typedef typename EOT::Fitness Fitness;
/**
* Constructor
* @param _fit fitness to reach
* @param _verbose verbose mode true/false -> on/off
*/
moPopFitContinuator(Fitness _fit, bool _verbose=true): fit(_fit), verbose(_verbose) {}
/**
* Returns false when the running time is reached.
* @param _sol the current solution
*/
virtual bool operator() (EOT& _sol)
{
unsigned int i=0;
bool res=true;
while (res && i<_sol.size()){
res= (_sol[i].fitness() < fit);
i++;
}
if (!res && verbose)
std::cout << "STOP in moPopFitContinuator: Reached maximum fitness [" << fit << "]" << std::endl;
return res;
}
/**
* reset the start time
* @param _solution a solution
*/
virtual void init(EOT & _solution) {}
/**
* Class name
*/
virtual std::string className(void) const
{
return "moPopFitContinuator";
}
private:
Fitness fit;
/** verbose mode */
bool verbose;
};
#endif

385
tags/paradiseo-1.3-beta2/paradiseo-mo/tutorial/Lesson8/testPopLS.cpp
View file

@ -1,385 +0,0 @@
/*
<testPopLS.cpp>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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
*/
// standard includes
#define HAVE_SSTREAM
#include <stdexcept> // runtime_error
#include <iostream> // cout
#include <sstream> // ostrstream, istrstream
#include <fstream>
#include <string.h>
// the general include for eo
#include <eo>
#include <ga.h>
using namespace std;
//-----------------------------------------------------------------------------
//Representation and initializer
#include <eoInt.h>
#include <eoInit.h>
#include <eoScalarFitness.h>
#include <ga/eoBit.h>
#include <eoPop.h>
// fitness function
#include <eval/oneMaxPopEval.h>
#include <problems/eval/moPopBitEval.h>
//Neighbors and Neighborhoods
#include <problems/bitString/moPopBitNeighbor.h>
#include <neighborhood/moOrderNeighborhood.h>
//Algorithm and its components
#include <coolingSchedule/moCoolingSchedule.h>
#include <algo/moSimpleHC.h>
//comparator
#include <comparator/moSolNeighborComparator.h>
//continuators
#include <continuator/moTrueContinuator.h>
#include <continuator/moCheckpoint.h>
#include <continuator/moFitnessStat.h>
#include <utils/eoFileMonitor.h>
#include <continuator/moCounterMonitorSaver.h>
#include "moPopFitContinuator.h"
#include <mo>
//-----------------------------------------------------------------------------
// Define types of the representation solution, different neighbors and neighborhoods
//-----------------------------------------------------------------------------
typedef moPopSol<eoBit<double> > Solution; //Permutation (Queen's problem representation)
typedef moPopBitNeighbor<double> Neighbor; //shift Neighbor
typedef moRndWithReplNeighborhood<Neighbor> Neighborhood; //rnd shift Neighborhood (Indexed)
class popInit: public eoInit<Solution>{
public:
popInit( eoInitFixedLength<eoBit<double> > & _rnd, unsigned int _popSize):rnd(_rnd), popSize(_popSize){}
void operator()(Solution & _sol){
eoBit<double> tmp;
for(unsigned int i=0; i<popSize; i++){
rnd(tmp);
_sol.push_back(tmp);
}
}
private:
eoInitFixedLength<eoBit<double> >& rnd;
unsigned int popSize;
};
void main_function(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// First define a parser from the command-line arguments
eoParser parser(argc, argv);
// For each parameter, define Parameter, read it through the parser,
// and assign the value to the variable
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// the number of steps of the random walk
eoValueParam<unsigned int> stepParam(100, "nbStep", "Number of steps of the random walk", 'n');
parser.processParam( stepParam, "Representation" );
unsigned nbStep = stepParam.value();
// description of genotype
eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
parser.processParam( vecSizeParam, "Representation" );
unsigned vecSize = vecSizeParam.value();
// description of genotype
eoValueParam<unsigned int> popSizeParam(10, "popSize", "population size", 'P');
parser.processParam( popSizeParam, "Representation" );
unsigned popSize = popSizeParam.value();
// the name of the "status" file where all actual parameter values will be saved
string str_status = parser.ProgramName() + ".status"; // default value
eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
parser.processParam( statusParam, "Persistence" );
// the name of the output file
string str_out = "out.dat"; // default value
eoValueParam<string> outParam(str_out.c_str(), "out", "Output file of the sampling", 'o');
parser.processParam(outParam, "Persistence" );
// description of genotype
eoValueParam<unsigned int> pparam(10, "p", "p", 'p');
parser.processParam( pparam, "Representation" );
unsigned p = pparam.value();
// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
// i.e. in case you need parameters somewhere else, postpone these
if (parser.userNeedsHelp()) {
parser.printHelp(cout);
exit(1);
}
if (statusParam.value() != "") {
ofstream os(statusParam.value().c_str());
os << parser;// and you can use that file as parameter file
}
/* =========================================================
*
* Random seed
*
* ========================================================= */
//reproducible random seed: if you don't change SEED above,
// you'll always get the same result, NOT a random run
rng.reseed(seed);
/* =========================================================
*
* Eval fitness function
*
* ========================================================= */
oneMaxEval< eoBit<double> > eval;
oneMaxPopEval< eoBit<double> > popEval(eval, p);
/* =========================================================
*
* Initilisation of the solution
*
* ========================================================= */
eoUniformGenerator<bool> uGen;
eoInitFixedLength<eoBit<double> > rnd(vecSize, uGen);
popInit random(rnd, popSize);
/* =========================================================
*
* evaluation of a neighbor solution
*
* ========================================================= */
moPopBitEval<Neighbor> evalNeighbor(eval,p);
// Neighbor n;
//
// n.index(3);
// moEval(sol, n);
// n.move(sol);
// popEval(sol);
// sol.printOn(std::cout);
// std::cout << "fit neighor: " << n.fitness() << std::endl;
/* =========================================================
*
* the neighborhood of a solution
*
* ========================================================= */
Neighborhood neighborhood(vecSize*popSize);
moPopFitContinuator<Neighbor> cont(vecSize);
/* =========================================================
*
* the local search algorithm
*
* ========================================================= */
//moSimpleHC<Neighbor> ls(neighborhood, popEval, evalNeighbor, cont);
/* =========================================================
*
* execute the local search from random solution
*
* ========================================================= */
// ls(sol);
//
// std::cout << "final solution:" << std::endl;
// sol.printOn(std::cout);
// std::cout << std::endl;
/* =========================================================
*
* The sampling of the search space
*
* ========================================================= */
// sampling object :
// - random initialization
// - neighborhood to compute the next step
// - fitness function
// - neighbor evaluation
// - number of steps of the walk
moAutocorrelationSampling<Neighbor> sampling(random, neighborhood, popEval, evalNeighbor, nbStep);
/* =========================================================
*
* execute the sampling
*
* ========================================================= */
sampling();
/* =========================================================
*
* export the sampling
*
* ========================================================= */
// to export the statistics into file
sampling.fileExport(str_out);
// to get the values of statistics
// so, you can compute some statistics in c++ from the data
const std::vector<double> & fitnessValues = sampling.getValues(0);
std::cout << "First values:" << std::endl;
std::cout << "Fitness " << fitnessValues[0] << std::endl;
std::cout << "Last values:" << std::endl;
std::cout << "Fitness " << fitnessValues[fitnessValues.size() - 1] << std::endl;
// more basic statistics on the distribution:
moStatistics statistics;
vector<double> rho, phi;
statistics.autocorrelation(fitnessValues, 20, rho, phi);
for (unsigned s = 0; s < rho.size(); s++)
std::cout << s << " " << "rho=" << rho[s] << ", phi=" << phi[s] << std::endl;
// Queen solution1, solution2;
//
// init(solution1);
//
// fullEval(solution1);
//
// std::cout << "#########################################" << std::endl;
// std::cout << "initial solution1: " << solution1 << std::endl ;
//
// localSearch1(solution1);
//
// std::cout << "final solution1: " << solution1 << std::endl ;
// std::cout << "#########################################" << std::endl;
/* =========================================================
*
* the cooling schedule of the process
*
* ========================================================= */
// initial temp, factor of decrease, number of steps without decrease, final temp.
/* =========================================================
*
* Comparator of neighbors
*
* ========================================================= */
/* =========================================================
*
* Example of Checkpointing
*
* ========================================================= */
// moTrueContinuator<shiftNeighbor> continuator;//always continue
// moCheckpoint<shiftNeighbor> checkpoint(continuator);
// moFitnessStat<Queen> fitStat;
// checkpoint.add(fitStat);
// eoFileMonitor monitor("fitness.out", "");
// moCounterMonitorSaver countMon(100, monitor);
// checkpoint.add(countMon);
// monitor.add(fitStat);
//
// moSA<shiftNeighbor> localSearch2(rndShiftNH, fullEval, shiftEval, coolingSchedule, solComparator, checkpoint);
//
// init(solution2);
//
// fullEval(solution2);
//
// std::cout << "#########################################" << std::endl;
// std::cout << "initial solution2: " << solution2 << std::endl ;
//
// localSearch2(solution2);
//
// std::cout << "final solution2: " << solution2 << std::endl ;
// std::cout << "#########################################" << std::endl;
}
// A main that catches the exceptions
int main(int argc, char **argv)
{
try {
main_function(argc, argv);
}
catch (exception& e) {
cout << "Exception: " << e.what() << '\n';
}
return 1;
}

37
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/moeo
View file

@ -152,43 +152,6 @@
#include <replacement/moeoGenerationalReplacement.h> #include <replacement/moeoGenerationalReplacement.h>
#include <replacement/moeoReplacement.h> #include <replacement/moeoReplacement.h>
#include <scalarStuffs/algo/moeoHC.h>
#include <scalarStuffs/algo/moeoILS.h>
#include <scalarStuffs/algo/moeoSA.h>
#include <scalarStuffs/algo/moeoSolAlgo.h>
#include <scalarStuffs/algo/moeoTS.h>
#include <scalarStuffs/algo/moeoVFAS.h>
#include <scalarStuffs/algo/moeoVNS.h>
#include <scalarStuffs/archive/moeoArchiveIndex.h>
#include <scalarStuffs/archive/moeoIndexedArchive.h>
#include <scalarStuffs/archive/moeoQuadTree.h>
#include <scalarStuffs/archive/moeoQuadTreeArchive.h>
#include <scalarStuffs/archive/moeoQuickUnboundedArchiveIndex.h>
#include <scalarStuffs/distance/moeoAchievementScalarizingFunctionDistance.h>
#include <scalarStuffs/distance/moeoAugmentedAchievementScalarizingFunctionDistance.h>
#include <scalarStuffs/distance/moeoAugmentedWeightedChebychevDistance.h>
#include <scalarStuffs/distance/moeoWeightedChebychevDistance.h>
#include <scalarStuffs/explorer/moeoHCMoveLoopExpl.h>
#include <scalarStuffs/explorer/moeoTSMoveLoopExpl.h>
#include <scalarStuffs/fitness/moeoAchievementFitnessAssignment.h>
#include <scalarStuffs/fitness/moeoAchievementScalarizingFunctionMetricFitnessAssignment.h>
#include <scalarStuffs/fitness/moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h>
#include <scalarStuffs/fitness/moeoAugmentedWeightedChebychevMetricFitnessAssignment.h>
#include <scalarStuffs/fitness/moeoIncrEvalSingleObjectivizer.h>
#include <scalarStuffs/fitness/moeoMetricFitnessAssignment.h>
#include <scalarStuffs/fitness/moeoWeightedChebychevMetricFitnessAssignment.h>
#include <scalarStuffs/weighting/moeoAnytimeWeightStrategy.h>
#include <scalarStuffs/weighting/moeoAugmentedQexploreWeightStrategy.h>
#include <scalarStuffs/weighting/moeoDichoWeightStrategy.h>
#include <scalarStuffs/weighting/moeoDummyRefPointStrategy.h>
#include <scalarStuffs/weighting/moeoDummyWeightStrategy.h>
#include <scalarStuffs/weighting/moeoFixedTimeBothDirectionWeightStrategy.h>
#include <scalarStuffs/weighting/moeoFixedTimeOneDirectionWeightStrategy.h>
#include <scalarStuffs/weighting/moeoQexploreWeightStrategy.h>
#include <scalarStuffs/weighting/moeoRandWeightStrategy.h>
#include <scalarStuffs/weighting/moeoVariableRefPointStrategy.h>
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <selection/moeoDetArchiveSelect.h> #include <selection/moeoDetArchiveSelect.h>
#include <selection/moeoDetTournamentSelect.h> #include <selection/moeoDetTournamentSelect.h>
#include <selection/moeoExhaustiveUnvisitedSelect.h> #include <selection/moeoExhaustiveUnvisitedSelect.h>

99
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/algo/moeoHC.h
View file

@ -1,99 +0,0 @@
/*
<moeoHC.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
François Legillon
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 __moeoHC_h
#define __moeoHC_h
#include <scalarStuffs/explorer/moeoHCMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/fitness/moeoIncrEvalSingleObjectivizer.h>
#include <scalarStuffs/algo/moeoSolAlgo.h>
#include <moHC.h>
//! Hill Climbing (HC)
/*!
Class which describes the algorithm for a hill climbing.
Adapts the moHC for a multi-objective problem using a moeoSingleObjectivization.
M is for Move
*/
template <class M>
class moeoHC : public moeoSolAlgo < typename M::EOType >
{
public:
typedef typename M::EOType MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
//! Full constructor.
/*!
All the boxes are given in order the HC to use a moHCMoveLoopExpl.
\param _move_initializer a move initialiser.
\param _next_move_generator a neighborhood explorer.
\param _incremental_evaluation a (generally) efficient evaluation function.
\param _move_selection a move selector.
\param _singler a singleObjectivizer to translate objectiveVectors into fitness
*/
moeoHC (moMoveInit < M > & _move_initializer, moNextMove < M > & _next_move_generator,
moMoveIncrEval < M,ObjectiveVector > & _incremental_evaluation, moMoveSelect < M > & _move_selection, moeoSingleObjectivization < MOEOT > & _singler) :
incrEval((new moeoIncrEvalSingleObjectivizer<MOEOT,M>(_singler,_incremental_evaluation))),
moveLoop(new moeoHCMoveLoopExpl<M>(_move_initializer,_next_move_generator,*(incrEval),_move_selection)),
algo(*(moveLoop), (_singler))
{}
//! Function which launches the HC
/*!
The HC has to improve a current solution.
As the moSA and the mo TS, it can be used for HYBRIDATION in an evolutionnary algorithm.
\param _solution a current solution to improve.
\return true.
*/
bool operator()(MOEOT &_solution){
if (_solution.invalidObjectiveVector()) {
(*incrEval)(_solution);
}else{
}
return algo(_solution);
}
private:
moeoIncrEvalSingleObjectivizer<MOEOT,M> *incrEval;
moeoHCMoveLoopExpl<M> *moveLoop;
//! the actual algo
moHC<M> algo;
};
#endif

156
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/algo/moeoILS.h
View file

@ -1,156 +0,0 @@
/*
<moeoILS.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
François Legillon
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 _moeoILS_h
#define _moeoILS_h
#include <moComparator.h>
#include <moILS.h>
#include <scalarStuffs/algo/moeoHC.h>
#include <scalarStuffs/algo/moeoTS.h>
#include <scalarStuffs/algo/moeoSA.h>
#include <eoEvalFunc.h>
#include <scalarStuffs/algo/moeoSolAlgo.h>
#include <moHCMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/explorer/moeoHCMoveLoopExpl.h>
//! Iterated Local Search (ILS)
/*!
Class which describes the algorithm for a iterated local search.
Adapts the moILS for a multi-objective problem using a moeoSingleObjectivization.
M is for Move
*/
template < class M >
class moeoILS:public moeoSolAlgo < typename M::EOType >
{
public:
typedef typename M::EOType MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
//! Generic constructor
/*!
Generic constructor using a moAlgo
\param _algorithm The solution based heuristic to use.
\param _continue The stopping criterion.
\param _acceptance_criterion The acceptance criterion.
\param _perturbation The pertubation generator.
\param _full_evaluation The evaluation function.
*/
moeoILS (moeoSolAlgo<MOEOT> & _algorithm, moSolContinue <MOEOT> & _continue, moComparator<MOEOT> & _acceptance_criterion,
eoMonOp<MOEOT> & _perturbation, moeoSingleObjectivization<MOEOT> & _full_evaluation):
algo(_algorithm,_continue,_acceptance_criterion,_perturbation,_full_evaluation)
{}
//! Constructor for using a moHC
/*!
\param _move_initializer The move initialisation (for the moHC).
\param _next_move_generator The move generator (for the moHC).
\param _incremental_evaluation The partial evaluation function (for the moHC).
\param _singler a singleObjectivizer to translate objectiveVectors into fitness
\param _move_selection The move selection strategy (for the moHC).
\param _continue The stopping criterion.
\param _acceptance_criterion The acceptance criterion.
\param _perturbation The pertubation generator.
*/
moeoILS (moMoveInit < M > & _move_initializer, moNextMove < M > & _next_move_generator,
moMoveIncrEval < M,ObjectiveVector > & _incremental_evaluation, moeoSingleObjectivization<MOEOT> &_singler,moMoveSelect < M > & _move_selection,
moSolContinue <MOEOT> & _continue, moComparator<MOEOT> & _acceptance_criterion,
eoMonOp<MOEOT> & _perturbation):
subAlgo(new moeoHC<M>(_move_initializer,_next_move_generator,_incremental_evaluation,_move_selection,_singler)),
algo(*subAlgo,_continue,_acceptance_criterion,_perturbation,_singler)
{}
//! Constructor for using a moTS for the moAlgo
/*!
\param _move_initializer The move initialisation (for the moTS).
\param _next_move_generator The move generator (for the moTS).
\param _incremental_evaluation The partial evaluation function (for the moTS).
\param _singler a singleObjectivizer to translate objectiveVectors into fitness
\param _tabu_list The tabu list (for the moTS !!!!).
\param _aspiration_criterion The aspiration criterion (for the moTS).
\param _moTS_continue The stopping criterion (for the moTS).
\param _continue The stopping criterion.
\param _acceptance_criterion The acceptance criterion.
\param _perturbation The pertubation generator.
*/
moeoILS (moMoveInit <M> & _move_initializer, moNextMove <M> & _next_move_generator,moMoveIncrEval <M,ObjectiveVector> & _incremental_evaluation, moeoSingleObjectivization<MOEOT> &_singler, moTabuList <M> & _tabu_list,moAspirCrit <M> & _aspiration_criterion, moSolContinue <MOEOT> & _moTS_continue,moSolContinue <MOEOT> & _continue, moComparator<MOEOT> & _acceptance_criterion, eoMonOp<MOEOT> & _perturbation):
subAlgo(new moeoTS<M>(_move_initializer,_next_move_generator,_incremental_evaluation,_tabu_list,_aspiration_criterion,_moTS_continue,_singler)),
algo((*subAlgo),_continue,_acceptance_criterion,_perturbation,_singler)
{}
//! Constructor for using a moSA for the moAlgo
/*!
\param _random_move_generator The random move generator (for the moSA).
\param _incremental_evaluation The partial evaluation function (for the moSA).
\param _singler a singleObjectivizer to translate objectiveVectors into fitness
\param _moSA_continue The stopping criterion (for the moSA).
\param _initial_temperature The initial temperature (for the moSA).
\param _cooling_schedule The cooling schedule (for the moSA).
\param _continue The stopping criterion.
\param _acceptance_criterion The acceptance criterion.
\param _perturbation The pertubation generator.
*/
moeoILS (moRandMove<M> & _random_move_generator, moMoveIncrEval <M,ObjectiveVector> & _incremental_evaluation,moeoSingleObjectivization<MOEOT> &_singler, moSolContinue <MOEOT> & _moSA_continue,double _initial_temperature, moCoolingSchedule & _cooling_schedule, moSolContinue <MOEOT> & _continue,moComparator<MOEOT> & _acceptance_criterion, eoMonOp<MOEOT> & _perturbation):
subAlgo(new moeoSA<M>(_random_move_generator, _incremental_evaluation, _moSA_continue, _initial_temperature,_cooling_schedule, _singler)),
algo(*subAlgo,_continue, _acceptance_criterion, _perturbation, _singler)
{}
//! Function which launches the ILS
/*!
The ILS has to improve a current solution.
\param _solution a current solution to improve.
\return true.
*/
bool operator()(MOEOT &_solution){
// std::cout<<"moeoILS"<<std::endl;
return algo(_solution);
}
private:
moeoSolAlgo<MOEOT> *subAlgo;
//! the actual algo
moILS<M> algo;
};
#endif

85
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/*
<moeoSA.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
François Legillon
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 __moeoSA_h
#define __moeoSA_h
#include <eoEvalFunc.h>
#include <scalarStuffs/algo/moeoSolAlgo.h>
#include <moTSMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/explorer/moeoTSMoveLoopExpl.h>
#include <moSA.h>
//! Simulated annealing (SA)
/*!
Generic algorithm that describes a Simulated Annealing algorithm.
Adapts the moSA for a multi-objective problem using a moeoSingleObjectivization.
M is for Move
*/
template < class M >
class moeoSA:public moeoSolAlgo < typename M::EOType >
{
public:
typedef typename M::EOType MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
moeoSA (moRandMove < M > & _random_move_generator, moMoveIncrEval < M,ObjectiveVector > & _incremental_evaluation,
moSolContinue < MOEOT > & _continue, double _initial_temperature, moCoolingSchedule & _cooling_schedule,
moeoSingleObjectivization<MOEOT> &_singler):
incrEval(_singler,_incremental_evaluation),
algo(_random_move_generator,incrEval,_continue,_initial_temperature,_cooling_schedule, _singler)
{}
/*!
Algorithm of the SA
As a moHC, it can be used for HYBRIDATION in an evolutionary algorithm.
\param _solution a solution to improve.
\return TRUE.
*/
bool operator()(MOEOT &_solution){
return algo(_solution);
}
private:
moeoIncrEvalSingleObjectivizer<MOEOT,M> incrEval;
//! the actual algo
moSA<M> algo;
};
#endif

55
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/*
* <moeoSolAlgo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Jérémie Humeau
* François Legillon
*
* 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 MOEOSOLALGO_H_
#define MOEOSOLALGO_H_
#include <eoAlgo.h>
#include <algo/moeoAlgo.h>
#include <moAlgo.h>
/**
* Abstract class for Solution based multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoSolAlgo : public moAlgo<MOEOT>, public moeoAlgo
{
};
#endif /*MOEOSOLALGO_H_*/

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/*
<moeoTS.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
François Legillon
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 __moeoTS_h
#define __moeoTS_h
#include <moTS.h>
#include <eoEvalFunc.h>
#include <scalarStuffs/algo/moeoSolAlgo.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/explorer/moeoTSMoveLoopExpl.h>
//! Tabu Search (TS)
/*!
Generic algorithm that describes a tabu search.
Adapts the moTS for a multi-objective problem using a moeoSingleObjectivization.
M is for Move
*/
template < class M >
class moeoTS:public moeoSolAlgo < typename M::EOType >
{
public:
typedef typename M::EOType MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
//! Full constructor.
/*!
All the boxes are given in order the TS to use a moTSMoveLoopExpl.
\param _move_initializer a move initialiser.
\param _next_move_generator a neighborhood explorer.
\param _incremental_evaluation a (generally) efficient evaluation function.
\param _tabu_list The tabu list.
\param _aspiration_criterion An aspiration criterion.
\param _continue The stopping criterion.
\param _singler a singleObjectivizer to translate objectiveVectors into fitness
*/
moeoTS (moMoveInit < M > & _move_initializer, moNextMove < M > & _next_move_generator,
moMoveIncrEval < M, typename MOEOT::ObjectiveVector > & _incremental_evaluation, moTabuList < M > & _tabu_list,
moAspirCrit < M > & _aspiration_criterion, moSolContinue < MOEOT > & _continue,
moeoSingleObjectivization<MOEOT> &_singler):
incrEval(_singler,_incremental_evaluation),
moveLoop(_move_initializer,_next_move_generator,incrEval,_tabu_list,_aspiration_criterion),
algo(moveLoop,_continue,_singler)
{}
//! Function which launchs the Tabu Search
/*!
Algorithm of the tabu search.
As a moSA or a moHC, it can be used for HYBRIDATION in an evolutionary algorithm.
For security a lock (pthread_mutex_t) is closed during the algorithm.
\param _solution a solution to improve.
\return TRUE.
*/
bool operator()(MOEOT &_solution){
return algo(_solution);
}
private:
moeoIncrEvalSingleObjectivizer<MOEOT,M> incrEval;
moeoTSMoveLoopExpl<M> moveLoop;
//! the actual algo
moTS<M> algo;
};
#endif

160
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/*
<moeoVFAS.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
François Legillon
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 _moeoVFAS_h
#define _moeoVFAS_h
#include <moComparator.h>
#include <eoEvalFunc.h>
#include <scalarStuffs/algo/moeoSolAlgo.h>
#include <fitness/moeoSingleObjectivization.h>
#include <fitness/moeoAggregationFitnessAssignment.h>
#include <scalarStuffs/explorer/moeoHCMoveLoopExpl.h>
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <scalarStuffs/weighting/moeoVariableRefPointStrategy.h>
#include <scalarStuffs/weighting/moeoDummyWeightStrategy.h>
#include <scalarStuffs/weighting/moeoDummyRefPointStrategy.h>
//! Variable fitness assignment search (vfas)
/*!
Search using multiple fitness assignment to search solution to a multi objective problem
*/
template < class M >
class moeoVFAS:public moeoPopAlgo < typename M::EOType >
{
public:
typedef typename M::EOType MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
/**
* constructor using a moAlgo and a vector of weight
* take a base vector of weight, and modify it to relaunch the algo with a diferent fitness
* use a selectOne to determine which moeot should be the base for the algo launch
* use a eoPop to keep result from each iteration
* @param _algorithm The solution based heuristic to use. It should at least use the fitness value at some point.
* @param _continue The stopping criterion.
* @param _select a selector to choose on which moeot we use the algorithm
* @param _weights a vector containing the base weights, which will be changed at each iteration.
* @param _eval The evaluation function.
* @param _wstrat the strategy to change weights (should be constructed with the same weights as the fitness)
*/
moeoVFAS (moeoSolAlgo<MOEOT> & _algorithm, eoContinue <MOEOT> & _continue,moeoSelectOne<MOEOT> &_select,
std::vector<double> &_weights, eoEvalFunc< MOEOT > &_eval , moeoVariableWeightStrategy<MOEOT> &_wstrat ):
algo(_algorithm),cont(_continue), select(_select), weights(_weights),eval(_eval),refPoint(defaultRefPoint), wstrat(_wstrat), rstrat(defaultRstrat)
{}
/**
* constructor using a moAlgo an ObjectiveVector and a vector of weight
* take a base vector of weight, and modify it to relaunch the algo with a diferent fitness
* use a selectOne to determine which moeot should be the base for the algo launch
* use a eoPop to keep result from each iteration
* @param _algorithm The solution based heuristic to use. It should at least use the fitness value at some point.
* @param _continue The stopping criterion.
* @param _select a selector to choose on which moeot we use the algorithm
* @param _weights a vector containing the base weights, which will be changed at each iteration.
* @param _refPoint a reference point changed at each iteration
* @param _eval The evaluation function.
* @param _wstrat the strategy to change weights (should be constructed with the same weights as the fitness)
* @param _rstrat the strategy to change the reference point
*/
moeoVFAS (moeoSolAlgo<MOEOT> & _algorithm, eoContinue <MOEOT> & _continue,moeoSelectOne<MOEOT> &_select,
std::vector<double> &_weights, ObjectiveVector &_refPoint, eoEvalFunc< MOEOT > &_eval , moeoVariableWeightStrategy<MOEOT> &_wstrat , moeoVariableRefPointStrategy<MOEOT>& _rstrat):
algo(_algorithm),cont(_continue), select(_select), weights(_weights),eval(_eval),refPoint(_refPoint),wstrat(_wstrat), rstrat(_rstrat)
{}
/**
* constructor without the weights
* @param _algorithm The solution based heuristic to use. It should at least use the fitness value at some point.
* @param _continue The stopping criterion.
* @param _select a selector to choose on which moeot we use the algorithm
* @param _eval The evaluation function.
* @param _wstrat the strategy to change weights (should be constructed with the same weights as the fitness)
*/
moeoVFAS (moeoSolAlgo<MOEOT> & _algorithm, eoContinue <MOEOT> & _continue,moeoSelectOne<MOEOT> &_select,
eoEvalFunc< MOEOT > &_eval, moeoVariableWeightStrategy<MOEOT> &_wstrat):
algo(_algorithm),cont(_continue), select(_select), weights(defaultWeights), eval(_eval), refPoint(defaultRefPoint), wstrat(defaultWstrat), rstrat(defaultRstrat)
{
weights.resize(MOEOT::ObjectiveVector::nObjectives(),1.0/MOEOT::ObjectiveVector::nObjectives());
}
/**
* launch the algorithm
* @param _pop the initial population on which algo will be launched
**/
virtual void operator()(eoPop<MOEOT> &_pop){
uniform_generator<double> rngGen(0.0,1.0);
for (unsigned int i=0;i<_pop.size();i++){
if (_pop[i].invalidObjectiveVector())
eval(_pop[i]);
}
moeoObjectiveVectorNormalizer<MOEOT> norm(_pop);
moeoAggregationFitnessAssignment<MOEOT> fitness(weights,eval);
bool res=false;
fitness(_pop);
MOEOT moeot(select(_pop));
wstrat(weights,moeot);
rstrat(refPoint,moeot);
do {
norm.update_by_pop(_pop);
fitness(_pop);
moeot=(select(_pop));
res=algo(moeot)||res;
_pop.push_back(moeot);
std::cout<<moeot.objectiveVector()<<std::endl;
wstrat(weights,moeot);
rstrat(refPoint,moeot);
}while(cont(_pop));
}
private:
moeoSolAlgo<MOEOT> &algo;
eoContinue<MOEOT> &cont;
moeoSelectOne<MOEOT> &select;
std::vector<double> &weights;
std::vector<double> defaultWeights;
eoEvalFunc<MOEOT> &eval;
ObjectiveVector &refPoint;
ObjectiveVector defaultRefPoint;
moeoVariableWeightStrategy<MOEOT> &wstrat;
moeoVariableRefPointStrategy<MOEOT> &rstrat;
moeoDummyRefPointStrategy<MOEOT> defaultRstrat;
moeoDummyWeightStrategy<MOEOT> defaultWstrat;
};
#endif

86
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/*
<moeoVNS.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
François Legillon
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 _moeoVNS_h
#define _moeoVNS_h
#include <moAlgo.h>
#include <eoEvalFunc.h>
#include <scalarStuffs/algo/moeoSolAlgo.h>
#include <moHCMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/explorer/moeoHCMoveLoopExpl.h>
//! Variable Neighbors Search (VNS)
/*!
Class which describes the algorithm for a Variable Neighbors Search.
Adapts the moVNS for a multi-objective problem using a moeoSingleObjectivization.
M is for Move
*/
template < class MOEOT >
class moeoVNS:public moeoSolAlgo < MOEOT >
{
public:
// typedef typename M::EOType MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
//! Generic constructor
/*!
Generic constructor using a moExpl
\param _explorer Vector of Neighborhoods.
\param _full_evaluation The singleObjectivization containing a full eval.
*/
moeoVNS(moExpl< MOEOT> & _explorer, moeoSingleObjectivization < MOEOT> & _full_evaluation): algo(_explorer,_full_evaluation) {}
//! Function which launches the VNS
/*!
The VNS has to improve a current solution.
\param _solution a current solution to improve.
\return true.
*/
bool operator()(MOEOT &_solution){
return algo(_solution);
}
private:
//! the actual algo
moVNS<MOEOT> algo;
};
#endif

83
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#ifndef MOEOARCHIVEINDEX_H_
#define MOEOARCHIVEINDEX_H_
#include <eoPop.h>
#include <archive/moeoArchive.h>
/**
* Inteface for Archive Indexes
*/
template < class MOEOT >
class moeoArchiveIndex
{
public:
//type of MOEOT Objective vector
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**type for a modification that will have to be applied to the archive
* each item concern one ObjectiveVector, designated by itemObjective
**/
struct modif{
public:
//Objective vector of the concerned item
ObjectiveVector itemObjective;
//oldIdx is the index of the item in the vector before the modification (in the archive itself, not in the index)
int oldIdx;
//newIdx is the new index of the item in the vector after the modification (in the archive itself, not in the index)
//-1 if deletion has to occur
int newIdx;
/**
* ctor for a deletion
* @param _obj the objectiveVector of the concerned entry
* @param _oldIdx the current index of the concerned entry in the vector (before deletion)
*/
modif(ObjectiveVector& _obj, int _oldIdx):itemObjective(_obj),oldIdx(_oldIdx),newIdx(-1){}
/**
* ctor for a move
* @param _obj the objectiveVector of the concerned entry
* @param _oldIdx the current index of the concerned entry in the vector (before moving)
* @param _newIdx the index of the concerned entry in the vector after moving
**/
modif(ObjectiveVector& _obj, int _oldIdx,int _newIdx):itemObjective(_obj),oldIdx(_oldIdx),newIdx(_newIdx){}
};
/**
* principal method for the index, add a moeot to the index
* @param _moeot the MOEOT we try to insert
* @param _insert should we really insert the moeot, or just check if we have to
* @return a pair, the first is a boolean indicating if the insertion can occur, the second a vector of modification
**/
virtual std::pair<bool,std::vector<modif> > operator()(const MOEOT& _moeot, bool _insert=true)=0;
/*
* method for adding a population of moeot to the the index
* @param _pop the population of MOEOT we try to insert
* @param _insert should we really insert the moeot, or just check if we have to
* @return a pair, the first is how many moeot can be inserted, the second a vector of modification that would have to occur to insert
*/
// virtual std::pair<bool,std::vector<modif> > operator()(const eoPop<MOEOT>& _pop, bool _insert=true)=0;
/**
* when updates will be necessary to keep indexes of archive and index synced, the archive will launch this method
* @param _update the update to do, see modif documentation
* @return false if no problem occured
*/
virtual bool update( modif& _update)=0;
/**
* creates a modif that move the item ObjectiveVector placed at idx oldIdx in the archive to newIdx, or delete it if newIdx=-1
* @param _obj the objectiveVector we want to move
* @param _oldIdx the index of the item we want to move in the vector
* @param _newIdx the new index for the item, -1 if we want it deleted
**/
static modif make_modif(ObjectiveVector &_obj,int _oldIdx,int _newIdx=-1){
modif res(_obj,_oldIdx,_newIdx);
return res;
}
};
#endif /*MOEOARCHIVEINDEX_H_*/

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#ifndef MOEOINDEXEDARCHIVE_H_
#define MOEOINDEXEDARCHIVE_H_
#include <eoPop.h>
#include <archive/moeoArchive.h>
#include <scalarStuffs/archive/moeoArchiveIndex.h>
/**
* Archive used for 2 dimension vectors which remove pareto dominated values
* Use an moeoArchiveIndex
*/
template < class MOEOT >
class moeoIndexedArchive : public moeoArchive < MOEOT >
{
public:
using eoPop < MOEOT > :: size;
using eoPop < MOEOT > :: operator[];
using eoPop < MOEOT > :: pop_back;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor.
* The moeoObjectiveVectorComparator used to compare solutions is based on Pareto dominance
*/
moeoIndexedArchive(moeoArchiveIndex<MOEOT>& _index) : index(_index) {}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
*/
bool operator()(const MOEOT & _moeo){
std::pair<bool,std::vector<typename moeoArchiveIndex<MOEOT>::modif> > res=index(_moeo);
if (!(res.first)){
return false;
}
else{
for (unsigned int i=0;i<res.second.size();i++){
apply_modif(res.second[i]);
}
push_back(_moeo);
return true;
}
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
*/
bool operator()(const eoPop < MOEOT > & _pop)
{
bool res=false;
for (unsigned int i=0;i<_pop.size();i++){
res=operator()(_pop[i])||res;
}
return res;
}
protected:
/**
* apply a modification
* @param _modif the modification to apply
**/
void apply_modif(typename moeoArchiveIndex<MOEOT>::modif &_modif){
if (_modif.newIdx==-1){
int oldIdx=size()-1;
(*this)[_modif.oldIdx]=(*this)[size()-1];
ObjectiveVector obj=(*this)[_modif.oldIdx].objectiveVector();
typename moeoArchiveIndex<MOEOT>::modif upd(obj,oldIdx,_modif.oldIdx);
index.update(upd);
pop_back();
}
}
//not used yet...
void apply_modif(std::vector<typename moeoArchiveIndex<MOEOT>::modif> &_modifs){
unsigned int num_to_delete=0;
for (unsigned int i=0;i<_modifs.size();i++){
if (_modifs[i].newIdx==-1){
num_to_delete++;
int oldIdx=size()-1;
(*this)[_modifs[i].oldIdx]=(*this)[size()-1];
ObjectiveVector obj=(*this)[_modifs[i].oldIdx].objectiveVector();
typename moeoArchiveIndex<MOEOT>::modif upd(obj,oldIdx,_modifs[i].oldIdx);
index.update(upd);
}
}
for (unsigned int i=0;i<num_to_delete;i++)
pop_back();
}
private:
moeoArchiveIndex<MOEOT> &index;
};
#endif /*MOEOINDEXEDARCHIVE_H_*/

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/*
* <moeoQuadTree.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* 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 MOEOQUADTREE_H_
#define MOEOQUADTREE_H_
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <scalarStuffs/archive/moeoArchiveIndex.h>
template < class ObjectiveVector >
class QuadTreeNode{
public:
QuadTreeNode(ObjectiveVector& _objVec):objVec(_objVec),subTree(){}
QuadTreeNode(const QuadTreeNode& _source):objVec(_source.objVec),subTree(_source.subTree){}
QuadTreeNode& operator=(const QuadTreeNode& _src){
(*this).objVec=_src.objVec;
(*this).subTree=subTree;
(*this).inserted=_src.is_inserted();
if(inserted) (*this).index=_src.get_index();
return *this;
}
ObjectiveVector& getVec(){
return objVec;
}
/**
* @param _kSuccesor the k_successor of _child regarding this Node
* @param _child the child to link at the index _kSuccessor
* @return true if _child is inserted, false if there is already a child for this index
*/
bool setChild(unsigned int _kSuccesor, QuadTreeNode<ObjectiveVector>* _child){
bool res = false;
if((*this).subTree[_kSuccesor] == NULL){
res=true;
(*this).subTree[_kSuccesor]= _child;
}
return res;
}
std::map<unsigned int, QuadTreeNode<ObjectiveVector>*>& getSubTree(){
return (*this).subTree;
}
void set_index(int idx){
inserted=true;
index=idx;
}
unsigned int get_index(){
if (!inserted) std::cerr<<"moeoQuadTree getting index of a non-inserted node"<<std::endl;
return index;
}
bool is_inserted(){
return inserted;
}
private:
ObjectiveVector objVec;
std::map<unsigned int, QuadTreeNode<ObjectiveVector>*> subTree;
unsigned int index;
bool inserted;
};
template < class MOEOT >
class moeoQuadTree : public moeoArchiveIndex<MOEOT> {
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename std::map<unsigned int, QuadTreeNode<ObjectiveVector>*>::iterator QuadTreeIterator;
typedef typename moeoArchiveIndex<MOEOT>::modif modif;
public:
moeoQuadTree():root(NULL),current_size(0){
bound=pow(2,ObjectiveVector::nObjectives())-1;
comparator=new moeoParetoObjectiveVectorComparator<ObjectiveVector>();
}
~moeoQuadTree(){
delete(comparator);
}
/**
* insert a _moeot in the index if it can be inserted
* @param @_moeot the individual ton insert
* @param _insert not used, should be changed...
*/
std::pair<bool,std::vector<modif> > operator()(const MOEOT& _moeot, bool _insert=true){
std::pair<bool,std::vector<modif> > res;
insert(_moeot.objectiveVector(),res);
if (res.first){
current_size=current_size+1-res.second.size();
}
return res;
};
/**
* apply the modif
* @param _update the modif to apply (move only)
* @return false if no problem occured
**/
bool update( modif& _update){
QuadTreeNode<ObjectiveVector>* node=find_node(_update.itemObjective,getRoot());
if (node==NULL) return true;
node->set_index(_update.newIdx);
return false;
}
/**
* @paramm _obj the Objective Vector to insert into the tree.
* @return true if it is inserted
*/
void insert(ObjectiveVector _obj, std::pair<bool, std::vector<modif> > &res){
//create a new node
QuadTreeNode<ObjectiveVector>* tmp = new QuadTreeNode<ObjectiveVector>(_obj);
//if the tree is empty, we have a new root!
if(isEmpty()){
root=tmp;
tmp->set_index(0);
res.first=true;
}
//else try to insert the new node in the tree
else{
res.first = insert_aux(tmp, root, NULL, 0, res.second);
if(res.first) tmp->set_index(size()-1);
}
}
/**
* @param _newnode the node to insert
* @param _tmproot the temporary root
* @param _parent the parent of _tmproot
* @param _succ the index of _parent where the _tmproot is linked
* @return true if the _newnode is inserted
*/
bool insert_aux(QuadTreeNode<ObjectiveVector>* _newnode, QuadTreeNode<ObjectiveVector>* _tmproot, QuadTreeNode<ObjectiveVector>* _parent, unsigned int _succ, std::vector<modif> &modifs){
bool res=false;
bool dominated=false;
unsigned int succ=k_succ(_newnode->getVec(), _tmproot->getVec());
if(succ==bound){
//_newnode is dominated by _tmproot
delete(_newnode);
}
else if(succ==0){
//_newnode dominates _tmproot
replace(_newnode, _tmproot, _parent, _succ, modifs);
res=true;
}
else{
//dominance test1 (test if _newnode is dominated by the childs of _tmproot)
if(!(_tmproot->getSubTree().empty())){
QuadTreeIterator it=_tmproot->getSubTree().begin();
while(!dominated && (it != _tmproot->getSubTree().end())){
if((*it).second != NULL){
if( ((*it).first < succ) && (((succ ^ bound) & ((*it).first ^ bound)) == (succ ^ bound)) ){
dominated = test1(_newnode, (*it).second);
}
}
it++;
}
}
if(dominated){
//_newnode is dominated by a node of the subtree
delete(_newnode);
}
else{
//dominance test2 (test if _newnode dominates the childs of _tmproot)
QuadTreeIterator it=_tmproot->getSubTree().begin();
while(it != _tmproot->getSubTree().end()){
if((*it).second != NULL){
if( (succ < (*it).first) && ((succ & (*it).first) == succ)){
test2(_newnode, (*it).second, _tmproot, (*it).first, modifs);
}
}
it++;
}
//insertion
if(_tmproot->setChild(succ, _newnode)){
//the child is inserted
res=true;
}
else{
//else if the child is not inserted, insert it in the subtree
res=insert_aux(_newnode, _tmproot->getSubTree()[succ], _tmproot, succ , modifs);
}
}
}
return res;
}
/*
* @param _objVec1
* @param _objVec2
* @return the k-successor of _objVec1 with respect to _objVec2
*/
unsigned int k_succ(const ObjectiveVector& _objVec1, const ObjectiveVector& _objVec2){
unsigned int res=0;
if(!(*comparator)(_objVec2, _objVec1)){
for(unsigned int i=0; i < ObjectiveVector::nObjectives(); i++){
if( (ObjectiveVector::minimizing(i) && ((_objVec1[i] - _objVec2[i]) >= (-1.0 * 1e-6 ))) ||
(ObjectiveVector::maximizing(i) && ((_objVec1[i] - _objVec2[i]) <= 1e-6 ))){
res+=pow(2,ObjectiveVector::nObjectives()-i-1);
}
}
}
return res;
}
/*
* replace the root by a new one
* @param _newnode thee new root
* @param _tmproot the old root
* @param _parent the parent of _tmproot
* @param _succ the index of _parent where the _tmproot is linked
*/
void replace(QuadTreeNode<ObjectiveVector>* _newnode, QuadTreeNode<ObjectiveVector>* _tmproot, QuadTreeNode<ObjectiveVector>* _parent, unsigned int _succ, std::vector<modif> & res){
if(!(_tmproot->getSubTree().empty())){
//reconsider each son of the old root
QuadTreeIterator it;
for(it=(_tmproot->getSubTree()).begin(); it != (_tmproot->getSubTree()).end(); it++){
if((*it).second!=NULL){
reconsider(_newnode, (*it).second, res);
}
}
}
//replace the old root by the new one
if(_parent==NULL){
root=_newnode;
}
else{
_parent->getSubTree()[_succ]=_newnode;
}
//kill the old root
modif new_modif(_tmproot->getVec(),_tmproot->get_index());
res.push_back(new_modif);
delete(_tmproot);
}
/**
* @param _newroot the new root
* @param _child a node to reconsider regarding tthe _newroot
*/
void reconsider(QuadTreeNode<ObjectiveVector>* _newroot, QuadTreeNode<ObjectiveVector>* _child, std::vector<modif> & res){
unsigned int succ;
//reconsider all child of _child
if(!(_child->getSubTree().empty())){
QuadTreeIterator it;
for(it=(_child->getSubTree()).begin(); it != (_child->getSubTree()).end(); it++){
if((*it).second != NULL){
QuadTreeNode<ObjectiveVector>* tmp=(*it).second;
_child->getSubTree()[(*it).first]=NULL;
reconsider(_newroot, tmp, res );
}
}
}
succ=k_succ(_child->getVec(),_newroot->getVec());
//if _child is dominated by the newroot, delete it
if(succ==bound){
modif new_modif(_child->getVec(),_child->get_index());
res.push_back(new_modif);
delete(_child);
}
//else reinsert it in the tree rooted at _newroot
else if(_newroot->getSubTree()[succ] != NULL){
reinsert(_newroot->getSubTree()[succ],_child);
}
else{
_newroot->setChild(succ, _child);
}
}
/**
* reinsert _node2 into _node1
* @param _node1 first node
* @param _node2 second node
*/
void reinsert(QuadTreeNode<ObjectiveVector>* _node1, QuadTreeNode<ObjectiveVector>* _node2){
//first resinsert all child of the second node into node1
if(_node1 != _node2){
unsigned int succ;
if(!(_node2->getSubTree().empty())){
QuadTreeIterator it;
for(it=(_node2->getSubTree()).begin(); it != (_node2->getSubTree()).end(); it++){
if((*it).second != NULL){
QuadTreeNode<ObjectiveVector>* tmp=(*it).second;
_node2->getSubTree()[(*it).first]=NULL;
reinsert(_node1, tmp);
}
}
}
//insert node2 into node1
succ=k_succ(_node2->getVec(),_node1->getVec());
if(_node1->getSubTree()[succ] != NULL){
reinsert(_node1->getSubTree()[succ],_node2);
}
else{
_node1->setChild(succ, _node2);
}
}
}
/**
* remove a node
* @param _node the node to remove
* @param _parent its parent
* @param _succ the index of _parent where the _node is linked
*/
void remove(QuadTreeNode<ObjectiveVector>* _node, QuadTreeNode<ObjectiveVector>* _parent, unsigned int _succ, std::vector<modif> & res){
unsigned int k=1;
QuadTreeNode<ObjectiveVector>* tmp=NULL;
_parent->getSubTree()[_succ]=NULL;
while((k < (bound -1)) && _node->getSubTree()[k]==NULL){
k++;
}
if(_node->getSubTree()[k]!=NULL){
tmp =_node->getSubTree()[k];
_parent->setChild(_succ, tmp);
}
k++;
while(k < (bound -1)){
if(_node->getSubTree()[k]!=NULL){
reinsert(tmp ,_node->getSubTree()[k]);
}
k++;
}
modif new_modif(_node->getVec(),_node->get_index());
res.push_back(new_modif);
delete(_node);
}
/**
* test if _node1 is dominated by _node2 (and recursivly by its childs)
* @param _node1 first node
* @param _node2 second node
*/
bool test1(QuadTreeNode<ObjectiveVector>* _node1, QuadTreeNode<ObjectiveVector>* _node2){
bool res = false;
unsigned int succ;
succ=k_succ(_node1->getVec(), _node2->getVec());
if(succ==bound){
res=true;
}
else{
QuadTreeIterator it=_node2->getSubTree().begin();
while(!res && (it != _node2->getSubTree().end())){
if((*it).second!=NULL){
if( ((succ ^ bound) & ((*it).first ^ bound)) == (succ^bound)){
res = res || test1(_node1, (*it).second);
}
}
it++;
}
}
return res;
}
/**
* test if _node1 dominates _node2 (and recursivly its childs)
* @param _node1 first node
* @param _node2 second node
*/
void test2(QuadTreeNode<ObjectiveVector>* _node1, QuadTreeNode<ObjectiveVector>* _node2, QuadTreeNode<ObjectiveVector>* _parent, unsigned int _succ, std::vector<modif> & res){
unsigned int succ;
succ=k_succ(_node1->getVec(), _node2->getVec());
if(succ==0){
remove(_node2, _parent, _succ, res);
if(_parent->getSubTree()[_succ]!=NULL)
test2(_node1, _parent->getSubTree()[_succ], _parent, _succ, res);
}
else{
QuadTreeIterator it=_node2->getSubTree().begin();
while(it != _node2->getSubTree().end()){
if((*it).second!=NULL){
if( (succ & (*it).first) == succ){
test2(_node1, (*it).second, _node2, (*it).first, res);
}
}
it++;
}
}
}
//************* A REVOIR ************
void printTree(){
QuadTreeIterator it;
if(!isEmpty()){
std::cout << "root: " << root->getVec() << " -> ";
if(!(root->getSubTree().empty())){
for(it=(root->getSubTree()).begin(); it != (root->getSubTree()).end(); it++){
if((*it).second!=NULL)
std::cout << (*it).second->getVec() << " ; ";
}
std::cout << std::endl;
for(it=(root->getSubTree()).begin(); it != (root->getSubTree()).end(); it++){
if((*it).second!=NULL){
printChild((*it).second, (*it).first);
std::cout << std::endl;
}
}
}
}
}
void printChild(QuadTreeNode<ObjectiveVector>* _child, unsigned int _key){
QuadTreeIterator it;
std::cout << "[" << _key << " : " << _child->getVec() << "] -> ";
if(!(_child->getSubTree().empty())){
for(it=(_child->getSubTree()).begin(); it != (_child->getSubTree()).end(); it++){
if((*it).second!=NULL)
std::cout << (*it).second->getVec() << " ; ";
}
std::cout << std::endl;
for(it=(_child->getSubTree()).begin(); it != (_child->getSubTree()).end(); it++){
if((*it).second!=NULL){
printChild((*it).second, (*it).first);
std::cout << std::endl;
}
}
}
}
//***********************************
/**
* @return if the tree is empty or not
*/
bool isEmpty(){
return root==NULL;
}
/**
* @return a pointer on the root of the tree
*/
QuadTreeNode<ObjectiveVector>* getRoot(){
return root;
}
/**
* the number of individual currently indexed
* @return the tree size
*/
unsigned int size(){
return current_size;
}
private:
/**
* to find a node from his objectiveVector
* @param _obj the objective to find
* @param current the node in which we are looking (to be able to recurse)
* @return the node with obj as objectiveVector, or null if it's not found
*/
QuadTreeNode<ObjectiveVector>* find_node(ObjectiveVector &_obj, QuadTreeNode<ObjectiveVector>* current){
if (current->getVec()==_obj) return current;
else{
int succ=k_succ(current->getVec(),_obj);
if(current->getSubTree()[succ]!=NULL)
return find_node(_obj,current->getSubTree()[succ]);
else{
return NULL;
}
}
}
//pointer on the root of the tree
QuadTreeNode<ObjectiveVector>* root;
//size max of an index
unsigned int bound;
//Pareto comparator
moeoParetoObjectiveVectorComparator<ObjectiveVector>* comparator;
//current tree size
int current_size;
};
#endif /*MOEOQUADTREE_H_*/

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/*
* <moeoQuadTreeArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* 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
*
*/
//-----------------------------------------------------------------------------
// moeoEpsilonHyperboxArchive.h
//-----------------------------------------------------------------------------
#ifndef MOEOQUADTREEARCHIVE_H_
#define MOEOQUADTREEARCHIVE_H_
#include <eoPop.h>
/**
* This class represents an epsilon hyperbox archive.
*/
template < class MOEOT >
class moeoQuadTreeArchive : public moeoArchive < MOEOT >
{
public:
using moeoArchive < MOEOT > :: size;
using moeoArchive < MOEOT > :: resize;
using moeoArchive < MOEOT > :: operator[];
using moeoArchive < MOEOT > :: back;
using moeoArchive < MOEOT > :: pop_back;
using moeoArchive < MOEOT > :: push_back;
using moeoArchive < MOEOT > :: begin;
using moeoArchive < MOEOT > :: end;
using moeoArchive < MOEOT > :: replace;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
moeoQuadTreeArchive() : moeoArchive < MOEOT >(){}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
* @return if the _moeo is added to the archive
*/
bool operator()(const MOEOT & _moeo){
return false;
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
* @return if at least one _pop[i] is added to the archive
*/
bool operator()(const eoPop < MOEOT > & _pop){
bool res, tmp = false;
for(unsigned int i=0; i<_pop.size(); i++){
tmp = (*this)(_pop[i]);
res = res || tmp;
}
return res;
}
};
#endif /*MOEOQUADTREEARCHIVE_H_*/

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#ifndef MOEOQUICKUNBOUNDEDARCHIVEINDEX_H_
#define MOEOQUICKUNBOUNDEDARCHIVEINDEX_H_
#include <eoPop.h>
#include <archive/moeoArchive.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <algorithm>
#include <iostream>
/**
* Archive used for 2 dimension vectors which remove pareto dominated values
* the index is ordered following the first objective
*/
template < class MOEOT >
class moeoQuickUnboundedArchiveIndex : public moeoArchiveIndex < MOEOT >
{
public:
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename moeoArchiveIndex<MOEOT>::modif modif;
// typedef typename moeoArchiveIndex < MOEOT> :: s_update s_update;
/**
* Default ctor. Pareto !!!!
* The moeoObjectiveVectorComparator used to compare solutions is based on Pareto dominance
*/
moeoQuickUnboundedArchiveIndex() : index() {}
/**
* Ctor
* @param _comparator the moeoObjectiveVectorComparator used to compare solutions
*/
//moeoQuickUnboundedArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator) : moeoArchive < MOEOT >(_comparator),index() {}
/**struct for an entry of the index
* obj is the objective vector of the vector[indice]
*/
struct entree{
entree(ObjectiveVector _obj, int _indice):obj(_obj),indice(_indice){}
bool operator == (const entree a){
return obj==a.obj;
}
ObjectiveVector obj;
int indice;
};
/**
* equivalent to "number one element should be on top of number two element" in the list by looking to the first obj
*/
struct CompareByFirst
: std::binary_function< bool, entree, entree > {
bool operator ()(
const entree& elem1,
const entree& elem2
) const {
if (ObjectiveVector::minimizing(0)){
return elem1.obj[0] > elem2.obj[0];
}
else{
return elem1.obj[0] < elem2.obj[0];
}
}
}cbf;
/**
* equivalent to "number one element should be on top of number two element" in the list by looking to the 2nd obj
*/
struct CompareByLast
: std::binary_function< bool, entree, entree > {
bool operator ()(
const entree& elem1,
const entree& elem2
) const {
if (ObjectiveVector::minimizing(1)){
return elem1.obj[1] < elem2.obj[1];
}
else{
return elem1.obj[1] > elem2.obj[1];
}
}
}cbl;
struct CompareByLast2
: std::binary_function< bool, MOEOT, MOEOT > {
bool operator ()(
const MOEOT& elem1,
const MOEOT& elem2
) const {
if (ObjectiveVector::minimizing(1)){
return elem1.objectiveVector()[1] < elem2.objectiveVector()[1];
}
else{
return elem1.objectiveVector()[1] > elem2.objectiveVector()[1];
}
}
}cbl2;
/**
* type for the index
*/
typedef typename std::set<entree,CompareByLast> MOEOTIndex;
/**
* iterator from the index
*/
typedef typename std::set<entree,CompareByLast>::iterator MOEOTIndexIte;
/**
* iterator for gcc stop being annoying
*/
typedef typename std::set<MOEOT>::iterator set_ite;
/**
updates the index following a modif
@param _update the modification to apply
@return false
*/
bool update(modif& _update){
entree oldEnt(_update.itemObjective,_update.oldIdx);
entree newEnt(_update.itemObjective,_update.newIdx);
index.erase(oldEnt);
index.insert(newEnt);
return false;
}
/*
std::pair<bool,std::vector<modif> > operator()(const eoPop<MOEOT>& _pop, bool _insert=true){
std::cout<<"OH, HI, je fais quelque chose"<<std::endl;
std::pair < bool, std::vector<modif> > res;
res.first=false;
std::vector <modif> tmp;
for (unsigned int i=0;i<_pop.size();i++){
std::cout<<"once va être créé"<<std::endl;
std::pair<bool,std::vector<modif> > once=operator()(_pop[i],_insert);
if (once.first){
std::cout<<"once vrai taille "<<once.second.size()<<std::endl;
std::copy(once.second.begin(),once.second.end(),res.second.end());
res.first=true;
}
}
return res;
};
*/
virtual std::pair<bool,std::vector<modif> > operator()(const MOEOT& _moeo, bool _insert=true){
return insert(_moeo,_insert);
}
/**
* inserts a _moeo in the index
* @param _moeo the MOEOT to insert
* @param _insert if _insert is false we only ask the index, and dont modify it
* @return a pair composed by a boolean indicating if the moeot can be inserted, and a list of modif to do so
*/
virtual std::pair<bool,std::vector<modif> > insert(const MOEOT& _moeo, bool _insert=true){
// std::cout<<"entree dans l'algo avec "<<_moeo.objectiveVector()<<std::endl;
MOEOTIndexIte it,it2,it4;
std::pair<bool,std::vector<modif> > res;
std::vector<entree> to_er;
res.first=false;
if (index.empty()){
std::cout<<"empty donc ok"<<std::endl;
if (_insert)
index.insert(entree(_moeo.objectiveVector(),index.size()));
res.first=true;
return res;
}
it=index.lower_bound(entree(_moeo.objectiveVector(),-1));
if (it==index.end()) {
it--;
if (!comparator(_moeo.objectiveVector(),(*it).obj)){
std::cout<<"fin et ok"<<std::endl;
if (_insert)
index.insert(entree(_moeo.objectiveVector(),index.size()));
res.first=true;
}else {
std::cout<<"fin et ko"<<std::endl;
}
return res;
}
if ((_moeo.objectiveVector()==(*it).obj) or (comparator(_moeo.objectiveVector(),(*it).obj))){
std::cout<<"middle ko bas"<<std::endl;
return res;
}
if (it!=index.begin()){
it2=it;
it2--;
if (comparator(_moeo.objectiveVector(),(*it2).obj)){
std::cout<<"middle ko haut"<<std::endl;
return res;
}
}
it2=it;
while (it2!=index.end() && comparator((*it2).obj,_moeo.objectiveVector())){
it2++;
}
for (it4=it;it4!=it2;it4++){
std::cout<<"ajout d'un truc à del"<<std::endl;
ObjectiveVector cpy=(*it4).obj;
int cpy_idx=(*it4).indice;
modif new_modif(cpy,cpy_idx);
res.second.push_back(new_modif);
to_er.push_back(*it4);
}
if (_insert){
for (unsigned int i=0;i<to_er.size();i++){
index.erase(to_er[i]);
}
index.insert(entree(_moeo.objectiveVector(),index.size()));
}
res.first=true;
std::cout<<"sortie avec insertion"<<std::endl;
return res;
}
protected:
private:
MOEOTIndex index;
moeoParetoObjectiveVectorComparator<ObjectiveVector> comparator;
};
#endif /*MOEOQUICKUNBOUNDEDARCHIVE_H_*/

109
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@ -1,109 +0,0 @@
/*
* <moeoAchievementScalarizingFunctionDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Jeremie Humeau
* Arnaud Liefooghe
* François Legillon
*
* 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 MOEOASFADIST_H_
#define MOEOASFADIST_H_
#include <utils/moeoObjectiveVectorNormalizer.h>
/**
Achievment scalarizing function aproach to calculate a distance
*/
template < class MOEOT>
class moeoAchievementScalarizingFunctionDistance : public moeoObjSpaceDistance< MOEOT >
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
/**
constructor with a normalizer
@param _rho
@param _weight the weight to apply to each dimension
@param _normalizer the normalizer
*/
moeoAchievementScalarizingFunctionDistance(unsigned int _rho, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer): normalizer(_normalizer), weight(_weight), rho(_rho){}
/**
constructor without a normalizer
@param _rho
@param _weight the weight to apply to each dimension
*/
moeoAchievementScalarizingFunctionDistance(unsigned int _rho, const ObjectiveVector& _weight): normalizer(defaultNormalizer), weight(_weight), rho(_rho){}
/**
fonction which calculate the distance
@param _obj the point to evaluate
@param _reference the reference to calculate the distance from
@return the fitness conrresponding to the distance
*/
const Fitness operator()(const ObjectiveVector& _reference, const ObjectiveVector& _obj){
unsigned int dim=_obj.size();
ObjectiveVector tmp1(_reference);
ObjectiveVector tmp2(_obj);
Fitness max=iteration(tmp2,tmp1,0,_obj.minimizing(0));
Fitness res=max;
for (unsigned i=0;i<dim;i++){
res=iteration(_obj,_reference,i,_obj.minimizing(i));
if (max<res)
max=res;
}
return max;
}
private:
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
const ObjectiveVector &weight;
double rho;
Fitness iteration(const ObjectiveVector &obj, const ObjectiveVector& reference, int dim, bool mini){
ObjectiveVector obj_norm=normalizer(obj);
ObjectiveVector ref_norm=normalizer(reference);
Fitness res;
if (mini){
res=(obj_norm[dim]-ref_norm[dim]);
}else{
res=(ref_norm[dim]-obj_norm[dim]);
}
res=weight[dim]*res;
return res;
}
};
#endif

111
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/distance/moeoAugmentedAchievementScalarizingFunctionDistance.h
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@ -1,111 +0,0 @@
/*
* <moeoAugmentedAchievmentScalarizingFunctionDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Jeremie Humeau
* Arnaud Liefooghe
* 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 MOEOASFAORDIST_H_
#define MOEOASFAORDIST_H_
#include <eo>
#include <moeo>
#include <cmath>
/**
Order representing Achievment scalarizing function aproach to calculate a metric
*/
template < class MOEOT>
class moeoAugmentedAchievementScalarizingFunctionDistance : public moeoObjSpaceDistance< MOEOT >
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
/**
constructor with a normalizer
@param _rho
@param _weight the weight to apply to each dimansion
@param _normalizer the normalizer
*/
moeoAugmentedAchievementScalarizingFunctionDistance(unsigned int _rho,const ObjectiveVector &_weight,moeoObjectiveVectorNormalizer<MOEOT> &_normalizer): normalizer(_normalizer),weight(_weight),rho(_rho)
{}
/**
constructor without a normalizer
@param _rho
@param _weight the weight to apply to each dimansion
*/
moeoAugmentedAchievementScalarizingFunctionDistance(unsigned int _rho,const ObjectiveVector &_weight): normalizer(defaultNormalizer),weight(_weight),rho(_rho)
{}
/**
fonction which apply the metric to calculate a fitness
@param _reference the reference point to calculate the distance
@param _obj the point to evaluate
@return the fitness conrresponding to the distance
*/
const Fitness operator()(const ObjectiveVector &_reference,const ObjectiveVector &_obj){
unsigned int dim=_obj.size();
Fitness res=0;
Fitness max=iteration(_obj,_reference,0,_obj.minimizing(0));
for (unsigned i=0;i<dim;i++){
Fitness tmp=iteration(_obj,_reference,i,_obj.minimizing(i));
if (max<tmp)
max=tmp;
res+=tmp;
}
return res+rho*max;
}
private:
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
const ObjectiveVector &weight;
double rho;
Fitness iteration(const ObjectiveVector &obj,const ObjectiveVector &reference,int dim,bool mini){
ObjectiveVector obj_norm=normalizer(obj);
ObjectiveVector ref_norm=normalizer(reference);
Fitness res;
if (mini){
res=obj_norm[dim]-ref_norm[dim];
}else{
res=ref_norm[dim]-obj_norm[dim];
}
res=weight[dim]*res;
return res;
}
};
#endif

102
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/distance/moeoAugmentedWeightedChebychevDistance.h
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/*
* <moeoAugmentedWeightedChebychevDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
* 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 MOEOCHEBYCHEVORDIST_H_
#define MOEOCHEBYCHEVORDIST_H_
#include <distance/moeoObjSpaceDistance.h>
/**
order representing chebychev distance
*/
template < class MOEOT>
class moeoAugmentedWeightedChebychevDistance : public moeoObjSpaceDistance < MOEOT >
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
/**
constructor with a normalizer
@param _rho
@param _weight the weight to apply to each dimension
@param _normalizer the normalizer
*/
moeoAugmentedWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer): normalizer(_normalizer), weight(_weight), rho(_rho){}
/**
constructor with a dummy normalizer
@param _rho
@param _weight the weight to apply to each dimension
*/
moeoAugmentedWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight): normalizer(defaultNormalizer), weight(_weight), rho(_rho){}
/**
fonction which calculate a fitness
@param _reference the reference to calculate the distance from
@param _obj the point to evaluate
@return the fitness conrresponding to the distance
*/
const Fitness operator()(const ObjectiveVector& _reference, const ObjectiveVector& _obj){
unsigned int dim=_obj.size();
Fitness res=iteration(_obj,_reference,0);
Fitness max=res*weight[0];
for (unsigned i=1;i<dim;i++){
Fitness tmp=iteration(_obj,_reference,i);
if (tmp*weight[i]>max)
max=tmp*weight[i];
res+=tmp;
}
res=res*rho+max;
return res;
}
private:
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
const ObjectiveVector &weight;
double rho;
Fitness iteration(const ObjectiveVector &obj,const ObjectiveVector &reference,int dim){
ObjectiveVector obj_norm=normalizer(obj);
ObjectiveVector ref_norm=normalizer(reference);
Fitness res=abs(obj_norm[dim]-ref_norm[dim]);
return res;
}
};
#endif

101
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/distance/moeoWeightedChebychevDistance.h
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/*
* <moeoWeightedChebychevDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Jeremie Humeau
* Arnaud Liefooghe
* François Legillon
*
* 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 MOEOCHEBYCHEVDIST_H_
#define MOEOCHEBYCHEVDIST_H_
#include <eo>
#include <moeo>
#include <cmath>
/**
* weighted chebychev distance
*/
template < class MOEOT>
class moeoWeightedChebychevDistance : public moeoObjSpaceDistance < MOEOT >
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
/**
* constructor with a normalizer
* @param _rho
* @param _weight the weight to apply to each dimansion
* @param _normalizer the normalizer
*/
moeoWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer): normalizer(_normalizer), weight(_weight), rho(_rho){}
/**
* constructor with a normalizer
* @param _rho
* @param _weight the weight to apply to each dimansion
*/
moeoWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight): normalizer(defaultNormalizer), weight(_weight), rho(_rho){}
/**
* fonction which apply the metric to calculate a fitness
* @param _obj the point to evaluate
* @param _reference the reference to calculate the distance from
* @return the fitness conrresponding to the distance
*/
const Fitness operator()(const ObjectiveVector& _reference, const ObjectiveVector& _obj){
unsigned int dim=_obj.size();
Fitness res=0;
ObjectiveVector obj_norm=normalizer(_obj);
ObjectiveVector ref_norm=normalizer(_reference);
for (unsigned i=0;i<dim;i++){
res+=iteration(obj_norm,ref_norm,i);
}
return res;
}
private:
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
const ObjectiveVector &weight;
double rho;
Fitness iteration(const ObjectiveVector &obj,const ObjectiveVector &reference,int dim){
Fitness res=abs(obj[dim]-reference[dim]);
res=weight[dim]*pow(res,rho);
res=pow(res,1/rho);
return res;
}
};
#endif

148
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/explorer/moeoHCMoveLoopExpl.h
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/*
<moeoHCMoveLoopExpl.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
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 __moeoHCLoopExpl_h
#define __moeoHCLoopExpl_h
#include <moMoveLoopExpl.h>
#include <moMoveInit.h>
#include <moNextMove.h>
#include <moMoveIncrEval.h>
#include <moMoveSelect.h>
#include <moeo>
#include <scalarStuffs/fitness/moeoIncrEvalSingleObjectivizer.h>
/**
move explorer for multiobjectives solutions
*/
template < class M >
class moeoHCMoveLoopExpl:public moMoveLoopExpl < M >
{
//! Alias for the type.
typedef typename M::EOType EOT;
//! Alias for the fitness.
typedef typename M::EOType::Fitness Fitness;
typedef typename M::EOType::ObjectiveVector ObjectiveVector;
public:
//! Constructor.
/*!
All the boxes have to be specified.
\param _move_initializer The move initialiser.
\param _next_move_generator The neighbourhood explorer.
\param _incremental_evaluation (generally) Efficient evaluation function.
\param _move_selection The move selector.
*/
moeoHCMoveLoopExpl (moMoveInit < M > & _move_initializer, moNextMove < M > & _next_move_generator,
moeoIncrEvalSingleObjectivizer < EOT,M > & _incremental_evaluation, moMoveSelect < M > & _move_selection) :
move_initializer (_move_initializer), next_move_generator (_next_move_generator),
incremental_evaluation (_incremental_evaluation), move_selection (_move_selection)
{}
//! Procedure which launches the explorer.
/*!
The exploration starts from an old solution and provides a new solution.
\param _old_solution The current solution.
\param _new_solution The new solution (result of the procedure).
*/
void operator () (const EOT & _old_solution, EOT & _new_solution)
{
M move, best_move;
Fitness best_fitness;
bool has_next_move, selection_update_is_ok;
if( _old_solution.invalid() )
{
throw std::runtime_error("[moHCMoveLoopExpl.h]: The current solution has not been evaluated.");
}
/*
The two following lines are added to avoid compilation warning.
<=> current best move fitness is the current fitness.
<=> move and best move are empty for the moment.
*/
best_fitness=_old_solution.fitness();
move=best_move;
//At the begining, the new sol is equivalent to the old one.
_new_solution=(EOT)_old_solution;
// Restarting the exploration of the neighbourhood
move_initializer(move, _old_solution);
move_selection.init(_old_solution.fitness ());
do
{
selection_update_is_ok = move_selection.update (move, incremental_evaluation(move, _old_solution) );
has_next_move = next_move_generator (move, _old_solution);
}
while ( selection_update_is_ok && has_next_move);
//The selecter gives the value of the best move and the corresponding best fitness.
move_selection (best_move, best_fitness);
/*std::cout<<"bonjour moeoloopexpl"<<std::endl;
for (unsigned i=0;i<6;i++){
std::cout<<"move"<<best_move[i]<<std::endl;
} */
//The best move is applied on the new solution.
best_move(_new_solution);
//fitness and objective are set.
_new_solution.fitness(best_fitness);
_new_solution.objectiveVector(incremental_evaluation.incr_obj(best_move, _old_solution));
//we make a full eval
// incremental_evaluation(_new_solution);
}
private:
//! Move initialiser.
moMoveInit < M > & move_initializer;
//! Neighborhood explorer.
moNextMove < M > & next_move_generator;
//! (generally) Efficient evaluation.
moeoIncrEvalSingleObjectivizer < EOT,M > & incremental_evaluation;
//! Move selector.
moMoveSelect < M > & move_selection;
};
#endif

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/*
<moeoTSMoveLoopExpl.h>
Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
(C) OPAC Team, LIFL, 2002-2008
Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
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 _moeoTSMoveLoopExpl_h
#define _moeoTSMoveLoopExpl_h
#include <oldmo>
#include <moMoveLoopExpl.h>
#include <moMoveInit.h>
#include <moNextMove.h>
#include <moMoveIncrEval.h>
#include <moMoveSelect.h>
#include <moTabuList.h>
#include <moAspirCrit.h>
#include <moBestImprSelect.h>
template <class M>
class moeoTSMoveLoopExpl:public moMoveLoopExpl < M >
{
//!Alias for the type
typedef typename M::EOType EOT;
//!Alias for the fitness
typedef typename M::EOType::Fitness Fitness;
public:
//!Constructor
/*!
\param _move_initializer The move initializer.
\param _next_move_generator The neighbourhood explorer.
\param _incremental_evaluation A (generally) efficient evaluation.
\param _tabu_list The tabu list.
\param _aspiration_criterion An aspiration criterion.
*/
moeoTSMoveLoopExpl (moMoveInit < M > & _move_initializer, moNextMove < M > & _next_move_generator, moeoIncrEvalSingleObjectivizer < EOT, M > & _incremental_evaluation, moTabuList < M > & _tabu_list, moAspirCrit < M > & _aspiration_criterion):
move_initializer(_move_initializer),
next_move_generator(_next_move_generator),
incremental_evaluation(_incremental_evaluation),
tabu_list(_tabu_list),
aspiration_criterion(_aspiration_criterion)
{
tabu_list.init ();
aspiration_criterion.init ();
}
//!Procedure which lauches the exploration
/*!
The exploration continues while the chosen move is not in the tabu list
or the aspiration criterion is true. If these 2 conditions are not true, the
exploration stops if the move selector update function returns false.
\param _old_solution the initial solution
\param _new_solution the new solution
*/
void operator () (const EOT & _old_solution, EOT & _new_solution)
{
M move, best_move;
Fitness fitness, best_move_fitness;
bool move_is_tabu, aspiration_criterion_is_verified, selection_update_is_ok, has_next_move;
if( _old_solution.invalidFitness() || _old_solution.invalid() )
{
throw std::runtime_error("[moTSMoveLoopExpl.h]: The current solution has not been evaluated.");
}
//At the begining, the new solution is equivalent to the old one.
_new_solution=(EOT)_old_solution;
// EOT mem(_old_solution);
// Restarting the exploration of of the neighborhood !
move_initializer (move, _old_solution);
move_selection.init( _old_solution.fitness() );
selection_update_is_ok=true;
// std::cout<<"moeoTS lets go"<<std::cout;
do
{
fitness = incremental_evaluation(move, _old_solution);
// std::cout<<"fit: "<<fitness<<std::endl;
move_is_tabu = tabu_list(move, _old_solution);
aspiration_criterion_is_verified = aspiration_criterion(move, fitness);
if( !move_is_tabu || aspiration_criterion_is_verified )
{
selection_update_is_ok = move_selection.update(move, fitness);
}
has_next_move = next_move_generator(move, _old_solution);
}
while( has_next_move && selection_update_is_ok );
// std::cout<<"moeoTS before select"<<std::cout;
move_selection(best_move, best_move_fitness);
typename EOT::ObjectiveVector best_obj=incremental_evaluation.incr_obj(best_move,_new_solution);
//std::cout<<"moeo explo apply move "<<std::endl;
// Apply the best move.
best_move(_new_solution);
// The fitness is set to avoid an additionnal fitness computation.
// std::cout<<"moeo explo apply fit"<<std::endl;
_new_solution.fitness(best_move_fitness);
// std::cout<<"moeo explo apply obj"<<std::endl;
_new_solution.objectiveVector(best_obj);
// std::cout<<"moeo explo apply obj OK"<<std::endl;
// incremental_evaluation(_new_solution);
// Removing moves that are no more tabu.
tabu_list.update ();
// Updating the tabu list
tabu_list.add(best_move, _new_solution);
//std::cout<<"moeo end "<<std::endl;
}
private:
//! Move initialisation
moMoveInit < M > & move_initializer;
//! Neighborhood explorer
moNextMove < M > & next_move_generator;
//! Efficient evaluation
moeoIncrEvalSingleObjectivizer < EOT,M > & incremental_evaluation;
//! Move selector
moBestImprSelect < M > move_selection;
//! Tabu list
moTabuList < M > & tabu_list;
//! Aspiration criterion
moAspirCrit < M > & aspiration_criterion;
};
#endif

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/*
* <moeoAchievementFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* 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 MOEOACHIEVEMENTFITNESSASSIGNMENT_H_
#define MOEOACHIEVEMENTFITNESSASSIGNMENT_H_
#include <vector>
#include <eoPop.h>
#include <fitness/moeoScalarFitnessAssignment.h>
/**
* Fitness assignment sheme based on the achievement scalarizing function propozed by Wiersbicki (1980).
*/
template < class MOEOT >
class moeoAchievementFitnessAssignment : public moeoScalarFitnessAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor
* @param _reference reference point vector
* @param _lambdas weighted coefficients vector
* @param _spn arbitrary small positive number (0 < _spn << 1)
*/
moeoAchievementFitnessAssignment(ObjectiveVector & _reference, std::vector < double > & _lambdas, double _spn=0.0001) : reference(_reference), lambdas(_lambdas), spn(_spn)
{
// consistency check
if ((spn < 0.0) || (spn > 1.0))
{
std::cout << "Warning, the arbitrary small positive number should be > 0 and <<1, adjusted to 0.0001\n";
spn = 0.0001;
}
}
/**
* Ctor with default values for lambdas (1/nObjectives)
* @param _reference reference point vector
* @param _spn arbitrary small positive number (0 < _spn << 1)
*/
moeoAchievementFitnessAssignment(ObjectiveVector & _reference, double _spn=0.0001) : reference(_reference), spn(_spn)
{
// compute the default values for lambdas
lambdas = std::vector < double > (ObjectiveVector::nObjectives());
for (unsigned int i=0 ; i<lambdas.size(); i++)
{
lambdas[i] = 1.0 / ObjectiveVector::nObjectives();
}
// consistency check
if ((spn < 0.0) || (spn > 1.0))
{
std::cout << "Warning, the arbitrary small positive number should be > 0 and <<1, adjusted to 0.0001\n";
spn = 0.0001;
}
}
/**
* Sets the fitness values for every solution contained in the population _pop
* @param _pop the population
*/
virtual void operator()(eoPop < MOEOT > & _pop)
{
for (unsigned int i=0; i<_pop.size() ; i++)
{
compute(_pop[i]);
}
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account (nothing to do).
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
// nothing to do ;-)
}
/**
* Sets the reference point
* @param _reference the new reference point
*/
void setReference(const ObjectiveVector & _reference)
{
reference = _reference;
}
private:
/** the reference point */
ObjectiveVector reference;
/** the weighted coefficients vector */
std::vector < double > lambdas;
/** an arbitrary small positive number (0 < _spn << 1) */
double spn;
/**
* Returns a big value (regarded as infinite)
*/
double inf() const
{
return std::numeric_limits<double>::max();
}
/**
* Computes the fitness value for a solution
* @param _moeo the solution
*/
void compute(MOEOT & _moeo)
{
unsigned int nobj = MOEOT::ObjectiveVector::nObjectives();
double temp;
double min = inf();
double sum = 0;
for (unsigned int obj=0; obj<nobj; obj++)
{
temp = lambdas[obj] * (reference[obj] - _moeo.objectiveVector()[obj]);
min = std::min(min, temp);
sum += temp;
}
_moeo.fitness(min + spn*sum);
}
};
#endif /*MOEOACHIEVEMENTFITNESSASSIGNMENT_H_*/

148
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/*
* <moeoScalarizationFunctionMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* 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
*
*/
//-----------------------------------------------------------------------------
// moeoScalarizationFunctionMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOASFAFITNESSASSIGNMENT_H_
#define MOEOASFAFITNESSASSIGNMENT_H_
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/distance/moeoAchievementScalarizingFunctionDistance.h>
#include <metric/moeoDistanceMetric.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer) : normalizer(_normalizer), eval(defaultEval), distance(_rho, _weight), metric( distance, _reference, defaultNormalizer){}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval): normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric( distance, _reference, defaultNormalizer){}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer, eoEvalFunc<MOEOT>& _eval) : normalizer(_normalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, _normalizer){}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, defaultNormalizer){}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector())
eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector& _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the populing _pop (and in the archive)
* @param _pop the populing
*/
void operator()(eoPop < MOEOT > & _pop)
{
for (unsigned int k=0; k < _pop.size(); k++)
operator()(_pop[k]);
}
/**
* @param _pop the populing
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
eoEvalFunc<MOEOT> &eval;
moeoAchievementScalarizingFunctionDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoAugmentedScalarizingFunctionMetricFitnessASSIGNMENT_H_*/

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@ -1,161 +0,0 @@
/*
* <moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* 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
*
*/
//-----------------------------------------------------------------------------
// moeoAugmentedScalarizingFunctionMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOAUGASFAFITNESSASSIGNMENT_H_
#define MOEOAUGASFAFITNESSASSIGNMENT_H_
#include <moeo>
#include <eo>
#include <vector>
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
#include <scalarStuffs/distance/moeoAugmentedAchievementScalarizingFunctionDistance.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho,const ObjectiveVector &_reference,const ObjectiveVector &_weight,moeoObjectiveVectorNormalizer<MOEOT> &_normalizer) : normalizer(_normalizer),eval(defaultEval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid
* @param _eval a evalFunc to regenerate the objectiveVector if needed
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight,eoEvalFunc<MOEOT> &_eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight,moeoObjectiveVectorNormalizer<MOEOT> &_normalizer,eoEvalFunc<MOEOT> &_eval) :normalizer(_normalizer),eval(_eval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector()) eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the populing _pop (and in the archive)
* @param _pop the populing
*/
void operator()(eoPop < MOEOT > & _pop)
{
unsigned int pop_size= _pop.size();
for (unsigned int k=0; k<pop_size; k++){
operator()(_pop[k]);
}
}
/**
* @param _pop the populing
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
eoEvalFunc<MOEOT> &eval;
moeoAugmentedAchievementScalarizingFunctionDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoAugmentedScalarizingFunctionMetricFitnessASSIGNMENT_H_*/

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/*
* <moeoAugmentedWeightedChebychevMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* 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
*
*/
//-----------------------------------------------------------------------------
// moeoAugmentedWeightedChebychevMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOAUGCHEVMETRICFITNESSASSIGNMENT_H_
#define MOEOAUGCHEVMETRICFITNESSASSIGNMENT_H_
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoAugmentedWeightedChebychevMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer) : normalizer(_normalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer, eoEvalFunc<MOEOT>& _eval) : normalizer(_normalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector())
eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop){
for (unsigned int k=0; k<_pop.size(); k++)
operator()(_pop[k]);
}
/**
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
eoEvalFunc<MOEOT> &eval;
moeoAugmentedWeightedChebychevDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoAugmentedWeightedChebychevMetricFitnessASSIGNMENT_H_*/

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/*
* <moeoIncrEvalSingleObjectivizer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2009
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOINCREVALSINGLEOBJECTIVIZER_H_
#define MOEOINCREVALSINGLEOBJECTIVIZER_H_
#include <moeo>
#include <eo>
#include <moMoveIncrEval.h>
#include <fitness/moeoFitnessAssignment.h>
#include <fitness/moeoSingleObjectivization.h>
#include <eoEvalFunc.h>
/**
* Class to adapt mo algorithms (moTS moVNC...) for multiobjectives
* This class play a moMoveIncrEval but can be used with multi objectives
* Use a Singleobjectivizer to set the fitness value according to each dimension
*/
template < class MOEOT , class Move >
class moeoIncrEvalSingleObjectivizer : public moeoSingleObjectivization<MOEOT>, public moMoveIncrEval < Move, typename MOEOT::Fitness>
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
moeoIncrEvalSingleObjectivizer (){}
/**
Constructor
@param _singler a singleObjectivizer to calculte the fitness from the objectiveVector
@param _incr incremental evaluation of moeots
*/
moeoIncrEvalSingleObjectivizer ( moeoSingleObjectivization<MOEOT> &_singler, moMoveIncrEval<Move,typename MOEOT::ObjectiveVector> &_incr):
singler(_singler), incr(_incr)
{}
/**
* herited from moeoFitnessAssignment, calculate fitness for all population
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > & _pop){
singler(_pop);
};
/**
herited from eoEvalFunc, calculate fitness for a moeot
@param _moeot
*/
virtual void operator() (MOEOT & _moeot){
singler(_moeot);
};
/**
calculate fitness from an objectiveVector
@param _moeot a valid ObejctiveVector
@return the fitness value for the objectiveVector
*/
virtual typename MOEOT::Fitness operator() (const typename MOEOT::ObjectiveVector & _moeot){
return singler(_moeot);
};
/**
evaluates incrementally the fitness for a moeo
@param _mov a movement to virtually apply to _moeo
@param _moeo the base solution
@return the fitness of _moeo with _move applied
*/
virtual typename MOEOT::Fitness operator() ( const Move &_mov, const MOEOT &_moeo ){
return singler(incr_obj(_mov,_moeo));
}
/**
evaluates incrementally the objectiveVector for a moeo
@param _mov a movement to virtually apply to _moeo
@param _moeo the base solution
@return the objectiveVector of _moeo with _move applied
*/
virtual ObjectiveVector incr_obj ( const Move &_mov, const MOEOT &_moeo ){
return incr(_mov,_moeo);
}
/** dummy method**/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
moeoSingleObjectivization<MOEOT> &singler;
moMoveIncrEval<Move,typename MOEOT::ObjectiveVector> &incr;
};
#endif /*MOEOINCREVALSINGLEOBJECTIVIZER_H_*/

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/*
* <moeoMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* 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
*
*/
//-----------------------------------------------------------------------------
// moeoMetrucFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOMETRICFITNESSASSIGNMENT_H_
#define MOEOMETRICFITNESSASSIGNMENT_H_
#include <moeo>
#include <eo>
#include <vector>
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* Default ctor
* @param _metric a metric function to calculate fitness
* @param _negate true if fitness should be maxed
*/
moeoMetricFitnessAssignment(moeoUnaryMetric<ObjectiveVector,Fitness> &_metric, bool _negate=true) : metric(_metric),eval(defaultEval),negate(_negate)
{}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid
* @param _eval a evalFunc to regenerate the objectiveVector if needed
* @param _metric a metric function to calculate fitness
* @param _negate true if fitness should be maxed
*/
moeoMetricFitnessAssignment(moeoUnaryMetric<ObjectiveVector,Fitness> &_metric,eoEvalFunc<MOEOT> &_eval, bool _negate=false) : metric(_metric),eval(_eval),negate(_negate)
{}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector()) eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
if (negate)
return 1/metric(_mo);
else return metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
unsigned int pop_size= _pop.size();
for (unsigned int k=0; k<pop_size; k++){
operator()(_pop[k]);
}
}
/**
* Warning: no yet implemented: Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
//std::cout << "WARNING : updateByDeleting not implemented in moeoAssignmentFitnessAssignment" << std::endl;
}
private:
moeoUnaryMetric<typename MOEOT::ObjectiveVector,Fitness> &metric;
eoEvalFunc<MOEOT> &eval;
bool negate;
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
};
#endif /*MOEOMETRICFITNESSASSIGNMENT_H_*/

148
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/*
* <moeoWeightedChebychevMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* 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
*
*/
//-----------------------------------------------------------------------------
// moeoWeightedChebychevMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOCHEVMETRICFITNESSASSIGNMENT_H_
#define MOEOCHEVMETRICFITNESSASSIGNMENT_H_
#include <moeo>
#include <eo>
#include <vector>
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
#include <scalarStuffs/distance/moeoWeightedChebychevDistance.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoWeightedChebychevMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer) : normalizer(_normalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, _normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer, eoEvalFunc<MOEOT>& _eval) : normalizer(_normalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector())
eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
for (unsigned int k=0; k < _pop.size(); k++)
operator()(_pop[k]);
}
/**
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
eoEvalFunc<MOEOT> &eval;
moeoWeightedChebychevDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoWeightedChebychevMetricFitnessASSIGNMENT_H_*/

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/*
* <moeoAnytimeWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOANYTIMEWEIGHTSTRAT_H_
#define MOEOANYTIMEWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <algorithm>
#include <utility>
#include <utils/rnd_generators.h>
/**
* Change all weights according to a pattern ressembling to a "double strategy" 2 to 1 then 1 to 2.
* Can only be applied to 2 objectives vector problem
*/
template <class MOEOT>
class moeoAnytimeWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* default constructor
*/
moeoAnytimeWeightStrategy():random(default_random),depth(0){}
/**
* constructor with a given random generator, for algorithms wanting to keep the same generator for some reason
* @param _random an uniform random generator
*/
moeoAnytimeWeightStrategy(UF_random_generator<double> &_random):random(_random), depth(0){}
/**
*
* @param _weights the weights to change
* @param _moeot not used
*/
void operator()(std::vector<double>& _weights, const MOEOT& _moeot){
if (depth<2){
if (depth==0) toTest.push_back(0.5);
_weights[0]=depth;
_weights[1]=1-_weights[0];
depth++;
old1=0;
old2=1;
return;
}
if (!toTest.empty()){
_weights[0]=toTest.front();
_weights[1]=1-_weights[0];
toTest.erase(toTest.begin());
toTest.push_back((_weights[0]+old1)/2);
toTest.push_back((_weights[0]+old2)/2);
old2=old1;
old1=_weights[0];
}else{
std::cout<<"Error: Strange occurence in moeoAnytimeWeightStrategy "<<std::endl;
}
}
private:
double old1;
double old2;
UF_random_generator<double> &random;
UF_random_generator<double> default_random;
int depth;
std::list<double> toTest;
};
#endif

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/*
* <moeoAugmentedQexploreWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOAUGMENTEDQEXPLWEIGHTSTRAT_H_
#define MOEOAUGMENTEDQEXPLWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <algorithm>
#include <utility>
#include <utils/rnd_generators.h>
/**
* Change all weights according to a pattern ressembling to a "double strategy" 2 to 1 then 1 to 2.
* Can only be applied to 2 objectives vector problem
*/
template <class MOEOT>
class moeoAugmentedQexploreWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* default constructor
*/
moeoAugmentedQexploreWeightStrategy():depth(0),num(0),reset(true){
nums.resize(1,0);
}
/**
*
* @param _weights the weights to change
* @param moeot a moeot, not used
*/
void operator()(std::vector<double> &_weights,const MOEOT &moeot){
int dim=moeot.objectiveVector().size();
bool res=false;
int max=dim-1;
if (depth==0) do_reset();
while (!res) {
res=translate(dim,_weights);
next_num(dim);
if (nums[0]>max){
do_reset();
}
}
}
private:
void next_num(int dim){
int max=dim-1;
int idx=nums.size()-1;
if (depth==0){
do_reset();
}else{
idx=nums.size()-1;
while(idx>0 && nums[idx]==max) idx--;
int to_assign=nums[idx]+1;
for (unsigned int i=idx;i<nums.size();i++){
nums[i]=to_assign;
}
}
}
bool translate(int dim, std::vector<double> &_weights){
_weights.clear();
_weights.resize(dim,0);
for (unsigned int i=0;i<nums.size();i++){
_weights[nums[i]]++;
if (depth>1 && _weights[nums[i]]==depth) {
return false;
}
}
bool accept_pow=false;
bool accept_prim=false;
for (unsigned int i=0;i<_weights.size();i++){
if (accept_pow || (_weights[i]!=1 && !is2pow(_weights[i]))) {
accept_pow=true;
}
if (accept_prim || (coprim(_weights[i],depth)))
accept_prim=true;
_weights[i]=(_weights[i]+0.0)/(0.0+depth);
}
return accept_prim && accept_pow;
}
void do_reset(){
if (depth==0) depth=1;
else depth=depth*2;
nums.resize(depth);
for (unsigned int i=0;i<nums.size();i++){
nums[i]=0;
}
reset=false;
}
int next_prime(int old){
int res=old;
bool prim=true;
do{
res+=1;
prim=true;
for (unsigned int i=2;i<=sqrt(res);i++){
if ((res%i)==0) prim=false;
}
}while (!prim);
return res;
}
bool coprim(int a, int b){
if (b==0){
return a==1;
}else {
return coprim(b,a%b);
}
}
bool is2pow(int a){
if (a==1 || a==0) {
return true;
}
else if ((a%2)!=0) {
return false;
}
else {
return is2pow(a/2);
}
}
std::vector<int> nums;
int depth,num;
bool reset;
};
#endif

153
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoDichoWeightStrategy.h
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@ -1,153 +0,0 @@
/*
* <moeoDichoWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Fran<-61><-89>ois Legillon
*
* 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 MOEODICHOWEIGHTSTRAT_H_
#define MOEODICHOWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <algorithm>
#include <utility>
#include <utils/rnd_generators.h>
/**
* Change all weights according to a pattern ressembling to a "double strategy" 2 to 1 then 1 to 2.
* Can only be applied to 2 objectives vector problem
*/
template <class MOEOT>
class moeoDichoWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* default constructor
*/
moeoDichoWeightStrategy():random(default_random),num(0){}
/**
* constructor with a given random generator, for algorithms wanting to keep the same generator for some reason
* @param _random an uniform random generator
*/
moeoDichoWeightStrategy(UF_random_generator<double> &_random):random(_random),num(0){}
/**
*
* @param _weights the weights to change
* @param moeot a moeot, will be kept in an archive in order to calculate weights later
*/
void operator()(std::vector<double> &_weights,const MOEOT &moeot){
std::vector<double> res;
ObjectiveVector tmp;
_weights.resize(moeot.objectiveVector().size());
if (arch.size()<2){
//archive too small, we generate starting weights to populate it
//if no better solution is provided, we will toggle between (0,1) and (1,0)
arch(moeot);
if (num==0){
_weights[0]=0;
_weights[1]=1;
num++;
}else{
_weights[1]=0;
_weights[0]=1;
num=0;
std::sort(arch.begin(),arch.end(),cmpParetoSort());
it=arch.begin();
}
return;
}else{
if (it!=arch.end()){
tmp=(*it).objectiveVector();
it++;
if (it==arch.end()){
//we were at the last elements, recurse to update the archive
operator()(_weights,moeot);
return;
}
toAdd.push_back(moeot);
res=normal(tmp,(*it).objectiveVector());
_weights[0]=res[0];
_weights[1]=res[1];
}else{
//we only add new elements to the archive once we have done an entire cycle on it,
//to prevent iterator breaking
//then we reset the iterator, and we recurse to start over
arch(toAdd);
toAdd.clear();
std::sort(arch.begin(),arch.end(),cmpParetoSort());
it=arch.begin();
operator()(_weights,moeot);
return;
}
}
}
private:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
std::vector<double> normal(const ObjectiveVector &_obj1, const ObjectiveVector &_obj2){
std::vector<double> res;
double sum=0;
for (unsigned int i=0;i<_obj1.size();i++){
if (_obj1[i]>_obj2[i])
res.push_back(_obj1[i]-_obj2[i]);
else
res.push_back(_obj2[i]-_obj1[i]);
sum+=res[i];
}
for (unsigned int i=0;i<_obj1.size();i++) res[i]=res[i]/sum;
return res;
}
struct cmpParetoSort
{
//since we apply it to a 2dimension pareto front, we can sort every objectiveVector
// following either objective without problem
bool operator()(const MOEOT & a,const MOEOT & b) const
{
return b.objectiveVector()[0]<a.objectiveVector()[0];
}
};
UF_random_generator<double> &random;
UF_random_generator<double> default_random;
int num;
moeoUnboundedArchive<MOEOT> arch;
eoPop<MOEOT> toAdd;
typename eoPop<MOEOT>::iterator it;
};
#endif

51
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoDummyRefPointStrategy.h
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/*
* <moeoDummyRefPointStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEODUMMYREFPOINT_H_
#define MOEODUMMYREFPOINT_H_
/**
* dummy class for variable reference point strategies. do nothing
*/
template <class MOEOT>
class moeoDummyRefPointStrategy : public moeoVariableRefPointStrategy<MOEOT>
{
public:
virtual void operator()(typename MOEOT::ObjectiveVector &_obj, const MOEOT &_moeo ){}
};
#endif

61
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoDummyWeightStrategy.h
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@ -1,61 +0,0 @@
/*
* <moeoDummyWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEODUMMYWEIGHTSTRAT_H_
#define MOEODUMMYWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
/**
* Dummy variable weight strategy. Fill the weight with equal values
*/
template <class MOEOT>
class moeoDummyWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* main function
* @param _weights the weights to change
* @param _moeot not used
*/
void operator()(std::vector<double> &_weights,const MOEOT &_moeot){
for (unsigned int i=0;i<_weights.size();i++){
_weights[i]=(1.0/_weights.size());
}
}
};
#endif

87
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoFixedTimeBothDirectionWeightStrategy.h
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@ -1,87 +0,0 @@
/*
* <moeoFixedTimeBothDirectionWeightStrategy>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOFTBDWSWEIGHTSTRAT_H_
#define MOEOFTBDWSWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <algorithm>
#include <utility>
#include <utils/rnd_generators.h>
/**
* Change all weights according to a "double strategy" pattern 2 to 1 then 1 to 2.
*/
template <class MOEOT>
class moeoFixedTimeBothDirectionWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* default constructor
* @param _step how much we want the weight to change every iteration
*/
moeoFixedTimeBothDirectionWeightStrategy(double _step):step(_step),current(0),direction(false){}
/**
*
* @param _weights the weights to change
* @param moeot a moeot, not used
*/
void operator()(std::vector<double> &_weights,const MOEOT &moeot){
double res;
if (current==1){
res=1;
current=0;
direction=!direction;
}else res=current;
if (current+step>1){
current=1;
}else current+=step;
if (direction){
_weights[0]=res;
_weights[1]=1-res;
}else{
_weights[0]=1-res;
_weights[1]=res;
}
}
private:
double step;
double current;
bool direction;
};
#endif

80
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoFixedTimeOneDirectionWeightStrategy.h
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@ -1,80 +0,0 @@
/*
* <moeoFixedTimeOneDirectionWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOFTODWSWEIGHTSTRAT_H_
#define MOEOFTODWSWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <algorithm>
#include <utility>
#include <utils/rnd_generators.h>
/**
* Change all weights according to a simple strategy by adding a step every generation
*/
template <class MOEOT>
class moeoFixedTimeOneDirectionWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* default constructor
* @param _step how much we want the weight to change every iteration
*/
moeoFixedTimeOneDirectionWeightStrategy(double _step):step(_step),current(0){}
/**
*
* @param _weights the weights to change
* @param moeot a moeot, not used
*/
void operator()(std::vector<double> &_weights,const MOEOT &moeot){
double res;
if (current==1){
res=1;
current=0;
}else res=current;
if (current+step>1){
current=1;
}else current+=step;
_weights[0]=res;
_weights[1]=1-res;
}
private:
double step;
double current;
};
#endif

114
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoQexploreWeightStrategy.h
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@ -1,114 +0,0 @@
/*
* <moeoQexploreWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOQEXPLWEIGHTSTRAT_H_
#define MOEOQEXPLWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
#include <algorithm>
#include <utility>
#include <utils/rnd_generators.h>
//#include <rnd_generators.h>
/**
* Change all weights according to a pattern ressembling to a "double strategy" 2 to 1 then 1 to 2.
* Can only be applied to 2 objectives vector problem
*/
template <class MOEOT>
class moeoQexploreWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* default constructor
*/
moeoQexploreWeightStrategy():random(default_random),depth(0),num(0){}
/**
* constructor with a given random generator, for algorithms wanting to keep the same generator for some reason
* @param _random an uniform random generator
*/
moeoQexploreWeightStrategy(UF_random_generator<double> &_random):random(_random),depth(0),num(0){}
/**
*
* @param _weights the weights to change
* @param moeot a moeot, not used
*/
void operator()(std::vector<double> &_weights,const MOEOT &moeot){
if (depth==0){
if (num==0){
num++;
_weights[0]=0;
_weights[1]=1;
}else{
num=1;
depth=1;
_weights[0]=1;
_weights[1]=0;
}
}else{
while (num<depth && !coprim(depth,num)){
num++;
}
if (num>=depth){
depth++;
num=1;
}
_weights[0]=(num+0.0)/depth;
_weights[1]=1-(num+0.0)/depth;
num++;
}
}
private:
bool coprim(int a, int b){
if (b==0){
return a==1;
}else {
return coprim(b,a%b);
}
}
void next_num(){
}
UF_random_generator<double> &random;
UF_random_generator<double> default_random;
int depth,num,idx;
std::list<double> toTest;
};
#endif

83
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoRandWeightStrategy.h
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@ -1,83 +0,0 @@
/*
* <moeoRandWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEORANDWEIGHTSTRAT_H_
#define MOEORANDWEIGHTSTRAT_H_
#include <scalarStuffs/weighting/moeoVariableWeightStrategy.h>
/**
* Change all weights randomly.
*/
template <class MOEOT>
class moeoRandWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
{
public:
/**
* default constructor
*/
moeoRandWeightStrategy():random(default_random){}
/**
* constructor with a given random generator, for algorithms wanting to keep the same generator for some reason
* @param _random an uniform random generator
*/
moeoRandWeightStrategy(UF_random_generator<double> &_random):random(_random){}
/**
* main function, fill the weight randomly
* @param _weights the weights to change
* @param _moeot not used
*/
void operator()(std::vector<double> &_weights,const MOEOT &_moeot){
double sum=0;
for (unsigned int i=0;i<_weights.size();i++){
double rnd=random(100000);
sum+=rnd;
_weights[i]=rnd;
}
//we divide by the sum in order to keep the weight sum equal to 1
for (unsigned int i=0;i<_weights.size();i++){
_weights[i]=_weights[i]/sum;
}
}
private:
UF_random_generator<double> &random;
UF_random_generator<double> default_random;
};
#endif

51
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoVariableRefPointStrategy.h
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@ -1,51 +0,0 @@
/*
* <moeoVariableRefPointStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOVARREFPOINT_H_
#define MOEOVARREFPOINT_H_
/**
* Abstract class for strategies for changing reference point, in a fitness assignment that use it.
*/
template <class MOEOT>
class moeoVariableRefPointStrategy
{
public:
virtual void operator()(typename MOEOT::ObjectiveVector &_obj,const MOEOT &_moeo )=0;
};
#endif

51
tags/paradiseo-1.3-beta2/paradiseo-moeo/src/scalarStuffs/weighting/moeoVariableWeightStrategy.h
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@ -1,51 +0,0 @@
/*
* <moeoVariableWeightStrategy.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* 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 MOEOVARWEIGHT_H_
#define MOEOVARWEIGHT_H_
/**
* Abstract class for strategies for changing weight, in a aggregative fitness assignment.
*/
template <class MOEOT>
class moeoVariableWeightStrategy
{
public:
virtual void operator()(std::vector<double> &_weights,const MOEOT &_moeo )=0;
};
#endif

63
tags/paradiseo-1.3-beta2/problems/eval/oneMaxPopEval.h
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@ -1,63 +0,0 @@
/*
<oneMaxPopEval.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can ue,
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".
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 _oneMaxPopEval_h
#define _oneMaxPopEval_h
#include <problems/bitString/moPopSol.h>
#include <eval/oneMaxEval.h>
#include <cmath>
template< class EOT >
class oneMaxPopEval : public eoEvalFunc< moPopSol<EOT> >
{
public:
oneMaxPopEval(oneMaxEval<EOT>& _eval, unsigned int _p): eval(_eval), p(_p){}
/**
* Count the number of 1 in a bitString
* @param _sol the solution to evaluate
*/
void operator() (moPopSol<EOT>& _sol) {
double fit=0;
for (unsigned int i = 0; i < _sol.size(); i++){
if(_sol[i].invalid())
eval(_sol[i]);
fit+=pow((double) _sol[i].fitness(), (int) p);
}
fit=pow((double) fit, (double)1/p);
_sol.fitness(fit);
}
private:
oneMaxEval<EOT>& eval;
unsigned int p;
};
#endif