/* 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 _moSAexplorer_h #define _moSAexplorer_h #include #include #include #include #include #include /** * Explorer for the Simulated Annealing * Only the symetric case is considered when Q(x,y) = Q(y,x) * Fitness must be > 0 * */ template< class Neighbor > class moSAexplorer : public moNeighborhoodExplorer { public: typedef typename Neighbor::EOT EOT ; typedef moNeighborhood Neighborhood ; using moNeighborhoodExplorer::neighborhood; using moNeighborhoodExplorer::eval; /** * Constructor * @param _neighborhood the neighborhood * @param _eval the evaluation function * @param _solNeighborComparator a solution vs neighbor comparator * @param _coolingSchedule the cooling schedule */ moSAexplorer(Neighborhood& _neighborhood, moEval& _eval, moSolNeighborComparator& _solNeighborComparator, moCoolingSchedule& _coolingSchedule) : moNeighborhoodExplorer(_neighborhood, _eval), solNeighborComparator(_solNeighborComparator), coolingSchedule(_coolingSchedule) { isAccept = false; if (!neighborhood.isRandom()) { std::cout << "moSAexplorer::Warning -> the neighborhood used is not random" << std::endl; } } /** * Destructor */ ~moSAexplorer() { } /** * initialization of the initial temperature * @param _solution the solution */ virtual void initParam(EOT & _solution) { temperature = coolingSchedule.init(_solution); isAccept = true; }; /** * decrease the temperature if necessary * @param _solution unused solution */ virtual void updateParam(EOT & _solution) { coolingSchedule.update(temperature, this->moveApplied()); }; /** * terminate: NOTHING TO DO * @param _solution unused solution */ virtual void terminate(EOT & _solution) {}; /** * Explore one random solution in the neighborhood * @param _solution the solution */ virtual void operator()(EOT & _solution) { //Test if _solution has a Neighbor if (neighborhood.hasNeighbor(_solution)) { //init on the first neighbor: supposed to be random solution in the neighborhood neighborhood.init(_solution, current); //eval the _solution moved with the neighbor and stock the result in the neighbor eval(_solution, current); } else { //if _solution hasn't neighbor, isAccept=false; } }; /** * continue if the temperature is not too low * @param _solution the solution * @return true if the criteria from the cooling schedule is true */ virtual bool isContinue(EOT & _solution) { return coolingSchedule(temperature); }; /** * move the solution to the accepted solution * @param _solution the solution to move */ virtual void move(EOT & _solution) { //move the solution current.move(_solution); //update its fitness _solution.fitness(current.fitness()); }; /** * acceptance criterion according to the boltzmann criterion * @param _solution the solution * @return true if better neighbor or rnd < exp(delta f / T) */ virtual bool accept(EOT & _solution) { double alpha=0.0; double fit1, fit2; if (neighborhood.hasNeighbor(_solution)) { if (solNeighborComparator(_solution, current)) // accept if the current neighbor is better than the solution isAccept = true; else { fit1=(double)current.fitness(); fit2=(double)_solution.fitness(); if (fit1 < fit2) // this is a maximization alpha = exp((fit1 - fit2) / temperature ); else // this is a minimization alpha = exp((fit2 - fit1) / temperature ); isAccept = (rng.uniform() < alpha) ; } } return isAccept; }; /** * Getter * @return the temperature */ double getTemperature() { return temperature; } private: // comparator betwenn solution and neighbor moSolNeighborComparator& solNeighborComparator; moCoolingSchedule& coolingSchedule; double temperature; //Pointer on the best and the current neighbor Neighbor current; // true if the move is accepted bool isAccept ; }; #endif