// METS lib source file - mets.h -*- C++ -*- // /* * Software License Agreement (BSD License) * * Copyright (c) 2006-2012, Mirko Maischberger * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following * disclaimer in the documentation and/or other materials provided * with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * */ /// @mainpage METSlib /// /// \image html http://www.coin-or.org/images/logo/COIN-OR_150.png /// /// @section Introduction /// /// This is a library implementing some neighborhood based /// metaheuristics with or without memory. /// /// The solution instance must implement mets::feasible_solution and /// the moves must be derived from mets::move classes. /// /// The neighborhood can be specified implementing a /// mets::move_manager subclass or providing another class with the /// same concept (using the move_manager can ease things, but you can /// also provide your own custom neighorhood iterator). /// /// All the mentioned classes must be implemented to model the problem /// at hand. See as an example the "tutorial" and "qap" programs. /// /// You are also responsible of configuring and running the algorithm /// of choice. /// /// Once your model is set up you are free of experimenting different /// metaheuristics without changing it, but simply configuring one /// algorithm or another. /// /// Each algorithm can be customized implementing your own decorating /// classes, although a bunch of predefined and commonly used /// decorators are provided with the library, some problems may need /// customary tabu lists, termination criterias, aspiration criteria, /// or cooling schedules. /// /// The framework you must implement your model into is made of: /// /// - mets::feasible_solution /// - mets::evaluable_solution (use this if you also use mets::best_ever_solution) /// - mets::permutation_problem /// - mets::move /// - mets::mana_move (use this if you also use by mets::simple_tabu_list) /// - mets::swap_elements /// /// The toolkit of implemented algorithms is made of: /// /// - mets::move_manager (or a class implementing the same concept) /// - mets::swap_neighborhood /// - mets::local_search /// - mets::simulated_annealing /// - mets::abstract_cooling_schedule /// - mets::solution_recorder /// - mets::best_ever_solution /// - mets::termination_criteria_chain /// - mets::iteration_termination_criteria /// - mets::noimprove_termination_criteria /// - mets::threshold_termination_criteria /// - mets::tabu_search /// - mets::tabu_list_chain /// - mets::simple_tabu_list /// - mets::aspiration_criteria_chain /// - mets::best_ever_criteria /// - mets::solution_recorder /// - mets::best_ever_solution /// - mets::termination_criteria_chain /// - mets::iteration_termination_criteria /// - mets::noimprove_termination_criteria /// - mets::threshold_termination_criteria /// /// To use the mets::simple_tabu_list you need to derive your moves /// from the mets::mana_move base class and implement the pure virtual /// methods. /// #ifndef METS_METS_HH_ #define METS_METS_HH_ #include "metslib_config.hh" #include #include #include #include #include #include #include #include #include #include #include #if defined (METSLIB_TR1_BOOST) # include # include # include #elif defined (METSLIB_HAVE_UNORDERED_MAP) # include # include #elif defined (METSLIB_HAVE_TR1_UNORDERED_MAP) # include # include #else # error "Unable to find unordered_map header file. Please use a recent C++ compiler supporting TR1 extension." #endif /// /// @brief METSlib Metaheuristic framework namespace. /// /// Framework for neighborhood based metaheuristics (Tabu Search, /// Simulated Annealing, Iterated Local Search, Random Restart Local /// Search). /// #include "observer.hh" #include "model.hh" #include "termination-criteria.hh" #include "abstract-search.hh" #include "local-search.hh" #include "tabu-search.hh" #include "simulated-annealing.hh" //________________________________________________________________________ inline std::ostream& operator<<(std::ostream& os, const mets::printable& p) { p.print(os); return os; } #endif