Add moRandomWalk.h, update lesson 6 sampling.cpp
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1775 331e1502-861f-0410-8da2-ba01fb791d7f
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trunk/paradiseo-mo/src/algo/moRandomWalk.h
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trunk/paradiseo-mo/src/algo/moRandomWalk.h
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/*
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<moRandomWalk.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 _moRandomWalk_h
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#define _moRandomWalk_h
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#include <algo/moLocalSearch.h>
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#include <explorer/moRandomWalkExplorer.h>
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#include <continuator/moTrueContinuator.h>
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#include <eval/moEval.h>
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#include <eoEvalFunc.h>
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/********************************************************
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* Random Walk:
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* Random walk local search
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*
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* At each iteration,
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* one random neighbor is selected and replace the current solution
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* the algorithm stops when the number of steps is reached
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********************************************************/
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template<class Neighbor>
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class moRandomWalk: public moLocalSearch<Neighbor>
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{
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public:
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typedef typename Neighbor::EOT EOT;
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typedef moNeighborhood<Neighbor> Neighborhood ;
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/**
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* Simple constructor for a random walk
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* @param _neighborhood the neighborhood
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* @param _fullEval the full evaluation function
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* @param _eval neighbor's evaluation function
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* @param _nbStepMax number of step of the walk
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*/
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moRandomWalk(Neighborhood& _neighborhood, eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, unsigned _nbStepMax):
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moLocalSearch<Neighbor>(explorer, trueCont, _fullEval),
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explorer(_neighborhood, _eval, _nbStepMax)
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{}
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/**
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* Simple constructor for a random walk
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* @param _neighborhood the neighborhood
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* @param _fullEval the full evaluation function
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* @param _eval neighbor's evaluation function
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* @param _nbStepMax number of step of the walk
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* @param _cont an external continuator
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*/
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moRandomWalk(Neighborhood& _neighborhood, eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, unsigned _nbStepMax, moContinuator<Neighbor>& _cont):
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moLocalSearch<Neighbor>(explorer, _cont, _fullEval),
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explorer(_neighborhood, _eval, _nbStepMax)
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{}
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private:
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// always true continuator
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moTrueContinuator<Neighbor> trueCont;
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// the explorer of the random walk
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moRandomWalkExplorer<Neighbor> explorer;
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};
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#endif
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@ -98,6 +98,7 @@ public:
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/**
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* Explore the neighborhood with only one random solution
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* we supposed that the first neighbor is uniformly selected in the neighborhood
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* @param _solution
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*/
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virtual void operator()(EOT & _solution) {
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@ -41,6 +41,7 @@
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#include <algo/moFirstImprHC.h>
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#include <algo/moRandomBestHC.h>
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#include <algo/moNeutralHC.h>
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#include <algo/moRandomWalk.h>
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#include <algo/moTS.h>
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#include <comparator/moComparator.h>
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@ -93,6 +93,7 @@ public:
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/**
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* To sample the search and get the statistics
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* the statistics are stored in the moVectorMonitor vector
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*/
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void operator()(void) {
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// clear all statisic vectors
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@ -111,14 +112,16 @@ public:
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// compute the sampling
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localSearch(solution);
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// set to initial continuator
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// set back to initial continuator
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localSearch.setContinuator(*continuator);
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}
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/**
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* to export the vector of values into one file
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* @param _filename file name
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* @param _delim delimiter between statistics
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*/
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void exportFile(std::string _filename, std::string _delim = " ") {
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void fileExport(std::string _filename, std::string _delim = " ") {
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// create file
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ofstream os(_filename.c_str());
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@ -145,6 +148,15 @@ public:
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}
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/**
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* to get one vector of values
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* @param _numStat number of stattistics to get (in order of creation)
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* @return the vector of value (all values are converted in double)
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*/
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const std::vector<double> & getVector(unsigned int _numStat) {
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return monitorVec[_numStat]->getVector();
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}
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/**
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* @return name of the class
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*/
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