paradiseo/trunk/paradiseo-moeo/src/explorer/moeoTSMoveLoopExpl.h
jhumeau cb88ff2dff SingleObjectivization algorithms added
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1624 331e1502-861f-0410-8da2-ba01fb791d7f
2009-12-14 15:10:55 +00:00

175 lines
5.9 KiB
C++
Executable file

/*
<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