paradiseo/trunk/paradiseo-mo/src/explorer/moRandomSearchExplorer.h
jhumeau 93533e5fad Doc revised
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1819 331e1502-861f-0410-8da2-ba01fb791d7f
2010-05-21 12:37:41 +00:00

149 lines
4.6 KiB
C++

/*
<moRandomSearchExplorer.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can use,
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".
As a counterpart to the access to the source code and rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty and the software's author, the holder of the
economic rights, and the successive licensors have only limited liability.
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 _moRandomSearchexplorer_h
#define _moRandomSearchexplorer_h
#include <explorer/moNeighborhoodExplorer.h>
#include <neighborhood/moNeighborhood.h>
#include <eoEvalFunc.h>
#include <eoInit.h>
/**
* Explorer for a pure random search:
* the solution is initialized at each step
*/
template< class Neighbor >
class moRandomSearchExplorer : public moNeighborhoodExplorer<Neighbor>
{
public:
typedef typename Neighbor::EOT EOT ;
typedef moNeighborhood<Neighbor> Neighborhood ;
using moNeighborhoodExplorer<Neighbor>::neighborhood;
using moNeighborhoodExplorer<Neighbor>::eval;
/**
* Constructor
* @param _init the solution initializer, to explore at random the search space
* @param _fulleval the evaluation function
* @param _nbStep maximum number of step to do
*/
moRandomSearchExplorer(eoInit<EOT>& _init, eoEvalFunc<EOT>& _fulleval, unsigned _nbStep) : moNeighborhoodExplorer<Neighbor>(), init(_init), fulleval(_fulleval), nbStep(_nbStep) {
// number of step done
step = 0;
}
/**
* Destructor
*/
~moRandomSearchExplorer() {}
/**
* initialization of the number of step to be done
* @param _solution unused solution
*/
virtual void initParam(EOT & _solution) {
step = 0;
};
/**
* increase the number of step
* @param _solution unused solution
*/
virtual void updateParam(EOT & _solution) {
step++;
};
/**
* terminate: NOTHING TO DO
* @param _solution unused solution
*/
virtual void terminate(EOT & _solution) {};
/**
* 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) {
//init the first neighbor
init(_solution);
//eval the _solution moved with the neighbor and stock the result in the neighbor
fulleval(_solution);
};
/**
* continue if it is remains some steps to do
* @param _solution the solution
* @return true there is some steps to do
*/
virtual bool isContinue(EOT & _solution) {
return (step < nbStep) ;
};
/**
* move the solution with the best neighbor
* @param _solution the solution to move
*/
virtual void move(EOT & _solution) {
// the solution is already move. So nothing to do !
};
/**
* accept test : always accept
* @param _solution the solution
* @return true if the best neighbor ameliorate the fitness
*/
virtual bool accept(EOT & _solution) {
return true;
};
private:
// initialization method to explore at random the search space
eoInit<EOT> & init;
// the full eval function
eoEvalFunc<EOT> & fulleval;
// current number of step
unsigned int step;
// maximum number of steps to do
unsigned int nbStep;
};
#endif