moTSMoveLoopExpl.h

00001 /*
00002   <moTSMoveLoopExpl.h>
00003   Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
00004   (C) OPAC Team, LIFL, 2002-2008
00005  
00006   Sébastien Cahon, Jean-Charles Boisson (Jean-Charles.Boisson@lifl.fr)
00007  
00008   This software is governed by the CeCILL license under French law and
00009   abiding by the rules of distribution of free software.  You can  use,
00010   modify and/ or redistribute the software under the terms of the CeCILL
00011   license as circulated by CEA, CNRS and INRIA at the following URL
00012   "http://www.cecill.info".
00013  
00014   As a counterpart to the access to the source code and  rights to copy,
00015   modify and redistribute granted by the license, users are provided only
00016   with a limited warranty  and the software's author,  the holder of the
00017   economic rights,  and the successive licensors  have only  limited liability.
00018  
00019   In this respect, the user's attention is drawn to the risks associated
00020   with loading,  using,  modifying and/or developing or reproducing the
00021   software by the user in light of its specific status of free software,
00022   that may mean  that it is complicated to manipulate,  and  that  also
00023   therefore means  that it is reserved for developers  and  experienced
00024   professionals having in-depth computer knowledge. Users are therefore
00025   encouraged to load and test the software's suitability as regards their
00026   requirements in conditions enabling the security of their systems and/or
00027   data to be ensured and,  more generally, to use and operate it in the
00028   same conditions as regards security.
00029   The fact that you are presently reading this means that you have had
00030   knowledge of the CeCILL license and that you accept its terms.
00031  
00032   ParadisEO WebSite : http://paradiseo.gforge.inria.fr
00033   Contact: paradiseo-help@lists.gforge.inria.fr
00034 */
00035 
00036 #ifndef _moTSMoveLoopExpl_h
00037 #define _moTSMoveLoopExpl_h
00038 
00039 #include <moMoveLoopExpl.h>
00040 #include <moMoveInit.h>
00041 #include <moNextMove.h>
00042 #include <moMoveIncrEval.h>
00043 #include <moMoveSelect.h>
00044 #include <moTabuList.h>
00045 #include <moAspirCrit.h>
00046 #include <moBestImprSelect.h>
00047 
00049 
00052 template < class M >
00053 class moTSMoveLoopExpl:public moMoveLoopExpl < M >
00054 {
00056   typedef typename M::EOType EOT;
00057 
00059   typedef typename M::EOType::Fitness Fitness;
00060 
00061  public:
00062 
00064 
00071   moTSMoveLoopExpl (moMoveInit < M > & _move_initializer, moNextMove < M > & _next_move_generator,
00072                     moMoveIncrEval < M > & _incremental_evaluation, moTabuList < M > & _tabu_list, 
00073                     moAspirCrit < M > & _aspiration_criterion):
00074   move_initializer(_move_initializer), next_move_generator(_next_move_generator), incremental_evaluation(_incremental_evaluation),
00075     tabu_list(_tabu_list), aspiration_criterion(_aspiration_criterion)
00076   {
00077     tabu_list.init ();
00078     aspiration_criterion.init ();
00079   }
00080   
00082 
00090   void operator () (const EOT & _old_solution, EOT & _new_solution)
00091   {
00092     M move, best_move;
00093     Fitness fitness, best_move_fitness;
00094 
00095     bool move_is_tabu, aspiration_criterion_is_verified, selection_update_is_ok, has_next_move;
00096 
00097     if( _old_solution.invalid() )
00098       {
00099         throw std::runtime_error("[moTSMoveLoopExpl.h]: The current solution has not been evaluated.");
00100       }
00101     
00102     //At the begining, the new solution is equivalent to the old one.
00103     _new_solution=(EOT)_old_solution;
00104 
00105     // Restarting the exploration of  of the neighborhood !
00106     move_initializer (move, _old_solution);     
00107 
00108     move_selection.init( _old_solution.fitness() );
00109 
00110     do
00111       {
00112         fitness = incremental_evaluation(move, _old_solution);
00113 
00114         move_is_tabu = tabu_list(move, _old_solution);
00115 
00116         aspiration_criterion_is_verified = aspiration_criterion(move, fitness);
00117 
00118         if( !move_is_tabu || aspiration_criterion_is_verified )
00119           {
00120             selection_update_is_ok = move_selection.update(move, fitness);
00121           }
00122 
00123         has_next_move = next_move_generator(move, _old_solution);
00124       }
00125     while( has_next_move && selection_update_is_ok );
00126 
00127     move_selection(best_move, best_move_fitness);
00128 
00129     // Apply the best move.
00130     best_move(_new_solution);
00131     
00132     // The fitness is set to avoid an additionnal fitness computation.
00133     _new_solution.fitness(best_move_fitness);
00134       
00135     // Removing moves that are no more tabu.
00136     tabu_list.update ();
00137     
00138     // Updating the tabu list
00139     tabu_list.add(best_move, _new_solution);
00140   }
00141 
00142  private:
00143 
00145   moMoveInit < M > & move_initializer;
00146 
00148   moNextMove < M > & next_move_generator;
00149 
00151   moMoveIncrEval < M > & incremental_evaluation;
00152 
00154   moBestImprSelect < M > move_selection;
00155 
00157   moTabuList < M > & tabu_list;
00158 
00160   moAspirCrit < M > & aspiration_criterion;
00161 };
00162 
00163 #endif

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