172 lines
5 KiB
C++
172 lines
5 KiB
C++
/*
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<moVNSexplorer.h>
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Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
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Sebastien Verel, Arnaud Liefooghe, Jeremie Humeau
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This software is governed by the CeCILL license under French law and
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abiding by the rules of distribution of free software. You can ue,
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modify and/ or redistribute the software under the terms of the CeCILL
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license as circulated by CEA, CNRS and INRIA at the following URL
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"http://www.cecill.info".
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In this respect, the user's attention is drawn to the risks associated
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with loading, using, modifying and/or developing or reproducing the
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software by the user in light of its specific status of free software,
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that may mean that it is complicated to manipulate, and that also
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therefore means that it is reserved for developers and experienced
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professionals having in-depth computer knowledge. Users are therefore
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encouraged to load and test the software's suitability as regards their
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requirements in conditions enabling the security of their systems and/or
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data to be ensured and, more generally, to use and operate it in the
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same conditions as regards security.
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The fact that you are presently reading this means that you have had
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knowledge of the CeCILL license and that you accept its terms.
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ParadisEO WebSite : http://paradiseo.gforge.inria.fr
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Contact: paradiseo-help@lists.gforge.inria.fr
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*/
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#ifndef _moVNSexplorer_h
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#define _moVNSexplorer_h
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#include <explorer/moNeighborhoodExplorer.h>
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#include <neighborhood/moVariableNeighborhoodSelection.h>
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#include <eoOp.h>
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#include <acceptCrit/moAcceptanceCriterion.h>
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/**
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* Explorer for the "Variable Neighborhood Search" metaheuristic
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*/
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template< class Neighbor>
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class moVNSexplorer : public moNeighborhoodExplorer< Neighbor >
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{
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public:
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typedef typename Neighbor::EOT EOT;
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/**
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* Default constructor
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*/
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moVNSexplorer() {}
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/**
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* Constructor
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* @param _selection selection the "neighborhood" search heuristics during the search
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* @param _acceptCrit acceptance criteria which compare and accept or not the two solutions
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*/
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moVNSexplorer(moVariableNeighborhoodSelection<EOT> & _selection,
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moAcceptanceCriterion<Neighbor>& _acceptCrit):
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moNeighborhoodExplorer<Neighbor>(), selection(_selection), acceptCrit(_acceptCrit), stop(false), first(true)
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{}
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/**
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* Empty destructor
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*/
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~moVNSexplorer() {
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}
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/**
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* Initialization on the initial search opeartors based on the "first" neighborhood
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* @param _solution the current solution
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*/
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virtual void initParam(EOT& _solution) {
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// the best solution found
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bestSoFar = _solution;
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// initialization of the LS
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selection.init(_solution);
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// for the first ls, the solution will be improved, so the next ls must be applied
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first = true;
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}
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/**
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* Change the search operators on the next neighborhood search.
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* @param _solution the current solution
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*/
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virtual void updateParam(EOT & _solution) {
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if (!first && (*this).moveApplied()) {
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first = false;
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selection.init(_solution);
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} else
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if (selection.cont(currentSol)) {
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selection.next(_solution);
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} else
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stop = true;
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}
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/**
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* terminate: return the best solution found
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*/
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virtual void terminate(EOT & _solution) {
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_solution = bestSoFar;
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}
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/**
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* Explore the neighborhood of a solution by the "neighborhood" search heuristics
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* @param _solution the current solution
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*/
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virtual void operator()(EOT & _solution) {
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eoMonOp<EOT> & shake = selection.getShake();
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eoMonOp<EOT> & ls = selection.getLocalSearch();
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currentSol = _solution;
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shake(currentSol);
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ls(currentSol);
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// update the best solution found
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if (bestSoFar.fitness() < currentSol.fitness())
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bestSoFar = currentSol;
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}
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/**
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* continue if a move is accepted
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* @param _solution the solution
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* @return true if an ameliorated neighbor was be found
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*/
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virtual bool isContinue(EOT & /*_solution*/) {
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return !stop;
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};
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/**
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* move the solution with to current accepted solution
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* @param _solution the solution to move
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*/
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virtual void move(EOT & _solution) {
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_solution = currentSol;
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};
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/**
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* accept test if an amelirated neighbor was be found according to acceptance criteria
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* @param _solution the solution
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* @return true if the neighbor ameliorate the fitness
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*/
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virtual bool accept(EOT & _solution) {
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return acceptCrit(_solution, currentSol);
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};
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/**
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* Return the class id.
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* @return the class name as a std::string
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*/
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virtual std::string className() const {
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return "moVNSexplorer";
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}
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private:
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/** the set of LS and shake operators to applied */
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moVariableNeighborhoodSelection<EOT>& selection;
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/** Acceptance criterium between two LS */
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moAcceptanceCriterion<Neighbor>& acceptCrit;
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/** stopping criterium flag */
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bool stop;
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/** the current solution */
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EOT currentSol;
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/** Best solution found during the search */
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EOT bestSoFar;
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/** first LS flag */
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bool first;
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};
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#endif
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