/* * * Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007 * (C) OPAC Team, LIFL, 2002-2007 * * 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 __moILS_h #define __moILS_h #include #include "moHC.h" #include "moTS.h" #include "moSA.h" //! Iterated Local Search (ILS) /*! Class which describes the algorithm for a iterated local search. */ template < class M > class moILS:public moAlgo < typename M::EOType > { //! Alias for the type. typedef typename M::EOType EOT; //! Alias for the fitness. typedef typename EOT::Fitness Fitness; public: //! Generic constructor /*! Generic constructor using a moAlgo \param __algo The solution based heuristic to use. \param __continue The stopping criterion. \param __acceptance_criterion The acceptance criterion. \param __perturbation The pertubation generator. \param __full_eval The evaluation function. */ moILS (moAlgo &__algo, moSolContinue &__continue, moComparator &__acceptance_criterion, eoMonOp &__perturbation, eoEvalFunc &__full_eval): algo(__algo), cont(__continue), acceptance_criterion(__acceptance_criterion), perturbation(__perturbation), full_eval(__full_eval) {} //! Constructor for using a moHC for the moAlgo /*! \param __move_init The move initialisation (for the moHC). \param __next_move The move generator (for the moHC). \param __incr_eval The partial evaluation function (for the moHC). \param __move_select The move selection strategy (for the moHC). \param __continue The stopping criterion. \param __acceptance_criterion The acceptance criterion. \param __perturbation The pertubation generator. \param __full_eval The evaluation function. */ moILS (moMoveInit < M > &__move_init, moNextMove < M > &__next_move, moMoveIncrEval < M > &__incr_eval, moMoveSelect < M > &__move_select, moSolContinue &__continue, moComparator &__acceptance_criterion, eoMonOp &__perturbation, eoEvalFunc &__full_eval): algo(*new moHC(__move_init, __next_move, __incr_eval, __move_select, __full_eval)), cont(__continue), acceptance_criterion(__acceptance_criterion), perturbation(__perturbation), full_eval(__full_eval) {} //! Constructor for using a moTS for the moAlgo /*! \param __move_init The move initialisation (for the moTS). \param __next_move The move generator (for the moTS). \param __incr_eval The partial evaluation function (for the moTS). \param __tabu_list The tabu list (for the moTS !!!!). \param __aspir_crit 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. \param __full_eval The evaluation function. */ moILS (moMoveInit &__move_init, moNextMove &__next_move, moMoveIncrEval &__incr_eval, moTabuList &__tabu_list, moAspirCrit &__aspir_crit, moSolContinue &__moTS_continue, moSolContinue &__continue, moComparator &__acceptance_criterion, eoMonOp &__perturbation, eoEvalFunc &__full_eval): algo(*new moTS(__move_init, __next_move, __incr_eval, __tabu_list, __aspir_crit, __moTS_continue, __full_eval)), cont(__continue), acceptance_criterion(__acceptance_criterion), perturbation(__perturbation), full_eval(__full_eval) {} //! Constructor for using a moSA for the moAlgo /*! \param __move_rand The random move generator (for the moSA). \param __incr_eval The partial evaluation function (for the moSA). \param __moSA_continue The stopping criterion (for the moSA). \param __init_temp The initial temperature (for the moSA). \param __cool_sched The cooling scheduler (for the moSA). \param __continue The stopping criterion. \param __acceptance_criterion The acceptance criterion. \param __perturbation The pertubation generator. \param __full_eval The evaluation function. */ moILS (moRandMove &__move_rand, moMoveIncrEval &__incr_eval, moSolContinue &__moSA_continue, double __init_temp, moCoolingSchedule & __cool_sched, moSolContinue &__continue, moComparator &__acceptance_criterion, eoMonOp &__perturbation, eoEvalFunc &__full_eval): algo(*new moSA(__move_rand, __incr_eval, __moSA_continue, __init_temp, __cool_sched, __full_eval)), cont(__continue), acceptance_criterion(__acceptance_criterion), perturbation(__perturbation), full_eval(__full_eval) {} //! Function which launches the ILS /*! The ILS has to improve a current solution. As the moSA, the moTS and the moHC, it can be used for HYBRIDATION in an evolutionnary algorithm. \param __sol a current solution to improve. \return TRUE. */ bool operator()(EOT & __sol) { EOT __sol_saved=__sol; cont.init (); //some code has been duplicated in order to avoid one perturbation and one evaluation without adding a test in the loop. // better than a do {} while; with a test in the loop. algo(__sol); if (acceptance_criterion(__sol, __sol_saved)) { __sol_saved=__sol; } else { __sol=__sol_saved; } while (cont (__sol)) { perturbation(__sol); full_eval(__sol); algo(__sol); if (acceptance_criterion(__sol, __sol_saved)) { __sol_saved=__sol; } else { __sol=__sol_saved; } } return true; } private: //! The solution based heuristic. moAlgo &algo; //! The stopping criterion. moSolContinue &cont; //! The acceptance criterion. moComparator &acceptance_criterion; //! The perturbation generator eoMonOp &perturbation; //! The full evaluation function eoEvalFunc &full_eval; }; #endif