Add moRandomWalk.h, update lesson 6 sampling.cpp

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1775 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
verel 2010-05-04 14:45:18 +00:00
commit d05c43ea3a
5 changed files with 303 additions and 168 deletions

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@ -0,0 +1,86 @@
/*
<moRandomWalk.h>
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 : http://paradiseo.gforge.inria.fr
Contact: paradiseo-help@lists.gforge.inria.fr
*/
#ifndef _moRandomWalk_h
#define _moRandomWalk_h
#include <algo/moLocalSearch.h>
#include <explorer/moRandomWalkExplorer.h>
#include <continuator/moTrueContinuator.h>
#include <eval/moEval.h>
#include <eoEvalFunc.h>
/********************************************************
* 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 Neighbor>
class moRandomWalk: public moLocalSearch<Neighbor>
{
public:
typedef typename Neighbor::EOT EOT;
typedef moNeighborhood<Neighbor> 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<EOT>& _fullEval, moEval<Neighbor>& _eval, unsigned _nbStepMax):
moLocalSearch<Neighbor>(explorer, trueCont, _fullEval),
explorer(_neighborhood, _eval, _nbStepMax)
{}
/**
* 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
* @param _cont an external continuator
*/
moRandomWalk(Neighborhood& _neighborhood, eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, unsigned _nbStepMax, moContinuator<Neighbor>& _cont):
moLocalSearch<Neighbor>(explorer, _cont, _fullEval),
explorer(_neighborhood, _eval, _nbStepMax)
{}
private:
// always true continuator
moTrueContinuator<Neighbor> trueCont;
// the explorer of the random walk
moRandomWalkExplorer<Neighbor> explorer;
};
#endif

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@ -98,6 +98,7 @@ public:
/**
* Explore the neighborhood with only one random solution
* we supposed that the first neighbor is uniformly selected in the neighborhood
* @param _solution
*/
virtual void operator()(EOT & _solution) {

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@ -41,6 +41,7 @@
#include <algo/moFirstImprHC.h>
#include <algo/moRandomBestHC.h>
#include <algo/moNeutralHC.h>
#include <algo/moRandomWalk.h>
#include <algo/moTS.h>
#include <comparator/moComparator.h>

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@ -93,6 +93,7 @@ public:
/**
* To sample the search and get the statistics
* the statistics are stored in the moVectorMonitor vector
*/
void operator()(void) {
// clear all statisic vectors
@ -111,14 +112,16 @@ public:
// compute the sampling
localSearch(solution);
// set to initial continuator
// set back to initial continuator
localSearch.setContinuator(*continuator);
}
/**
* to export the vector of values into one file
* @param _filename file name
* @param _delim delimiter between statistics
*/
void exportFile(std::string _filename, std::string _delim = " ") {
void fileExport(std::string _filename, std::string _delim = " ") {
// create file
ofstream os(_filename.c_str());
@ -145,6 +148,15 @@ public:
}
/**
* to get one vector of values
* @param _numStat number of stattistics to get (in order of creation)
* @return the vector of value (all values are converted in double)
*/
const std::vector<double> & getVector(unsigned int _numStat) {
return monitorVec[_numStat]->getVector();
}
/**
* @return name of the class
*/