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SingleObjectivization algorithms added

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trunk/paradiseo-moeo/src/algo/moeoHC.h Normal file
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/*
<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 <explorer/moeoHCMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <fitness/moeoIncrEvalSingleObjectivizer.h>
#include <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

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/*
<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 <moILS.h>
#include <moComparator.h>
#include <algo/moeoHC.h>
#include <algo/moeoTS.h>
#include <algo/moeoSA.h>
#include <eoEvalFunc.h>
#include <algo/moeoSolAlgo.h>
#include <moHCMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <explorer/moeoHCMoveLoopExpl.h>
#include <moILS.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

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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 <algo/moeoSolAlgo.h>
#include <moTSMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <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

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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 <algo/moeoSolAlgo.h>
#include <fitness/moeoSingleObjectivization.h>
#include <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

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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 <algo/moeoSolAlgo.h>
#include <moHCMoveLoopExpl.h>
#include <fitness/moeoSingleObjectivization.h>
#include <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

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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 <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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trunk/paradiseo-moeo/src/explorer/moeoTSMoveLoopExpl.h Executable file
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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 <mo>
#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

121
trunk/paradiseo-moeo/src/fitness/moeoIncrEvalSingleObjectivizer.h Normal file
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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 <../../paradiseo-mo/src/moMoveIncrEval.h>
//#include <mo>
#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_*/

9
trunk/paradiseo-moeo/src/moeo
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@ -52,6 +52,11 @@
#include <algo/moeoSEEA.h>
#include <algo/moeoASEEA.h>
#include <algo/moeoSPEA2.h>
#include <algo/moeoHC.h>
#include <algo/moeoTS.h>
#include <algo/moeoVNS.h>
#include <algo/moeoSA.h>
#include <algo/moeoILS.h>
#include <archive/moeoArchive.h>
@ -130,6 +135,7 @@
#include <fitness/moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h>
#include <fitness/moeoWeightedChebychevMetricFitnessAssignment.h>
#include <fitness/moeoAugmentedWeightedChebychevMetricFitnessAssignment.h>
#include <fitness/moeoIncrEvalSingleObjectivizer.h>
#include <metric/moeoAdditiveEpsilonBinaryMetric.h>
@ -169,6 +175,9 @@
#include <utils/moeoObjVecStat.h>
#include <utils/moeoQuadTree.h>
#include <explorer/moeoHCMoveLoopExpl.h>
#include <explorer/moeoTSMoveLoopExpl.h>
#endif /*MOEO_*/