/* Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010 Sebastien Verel, Arnaud Liefooghe, Jeremie Humeau This software is governed by the CeCILL license under French law and abiding by the rules of distribution of free software. You can ue, 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". 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 : https://nojhan.github.io/paradiseo/ Contact: https://github.com/nojhan/paradiseo/issues */ #ifndef _moRandomWalk_h #define _moRandomWalk_h #include #include #include #include #include /** * Random Walk: * Random walk local search * * At each iteration, * one random neighbor is selected and replace the current solution * the algorithm stops when the number of steps is reached */ template class moRandomWalk: public moLocalSearch { public: typedef typename Neighbor::EOT EOT; typedef moNeighborhood Neighborhood ; /** * Simple constructor for a random walk * @param _neighborhood the neighborhood * @param _fullEval the full evaluation function * @param _eval neighbor's evaluation function * @param _nbStepMax number of step of the walk */ moRandomWalk(Neighborhood& _neighborhood, eoEvalFunc& _fullEval, moEval& _eval, unsigned _nbStepMax): moLocalSearch(explorer, iterCont, _fullEval), iterCont(_nbStepMax, false), explorer(_neighborhood, _eval) {} /** * General constructor for a random walk * @param _neighborhood the neighborhood * @param _fullEval the full evaluation function * @param _eval neighbor's evaluation function * @param _cont a user-defined continuator */ moRandomWalk(Neighborhood& _neighborhood, eoEvalFunc& _fullEval, moEval& _eval, moContinuator& _cont): moLocalSearch(explorer, _cont, _fullEval), iterCont(0), explorer(_neighborhood, _eval) {} private: // the continuator to stop on a maximum number of step moIterContinuator iterCont; // the explorer of the random walk moRandomWalkExplorer explorer; }; #endif