renaming files with right name: moMetropolisHasting*s*, moSA*E*xplorer

This commit is contained in:
LPTK 2013-07-16 15:32:07 +02:00
commit f8460a7ea5
10 changed files with 7 additions and 7 deletions

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/*
<moMetropolisHasting.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 _moMetropolisHasting_h
#define _moMetropolisHasting_h
#include <algo/moLocalSearch.h>
#include <explorer/moMetropolisHastingExplorer.h>
#include <continuator/moTrueContinuator.h>
#include <eval/moEval.h>
#include <eoEvalFunc.h>
/**
* Metropolis-Hasting local search
* Only the symetric case is considered when Q(x,y) = Q(y,x)
* Fitness must be > 0
*
* At each iteration,
* one of the random solution in the neighborhood is selected
* if the selected neighbor have higher or equal fitness than the current solution
* then the solution is replaced by the selected neighbor
* if a random number from [0,1] is lower than fitness(neighbor) / fitness(solution)
* then the solution is replaced by the selected neighbor
* the algorithm stops when the number of iterations is too large
*/
template<class Neighbor>
class moMetropolisHasting: public moLocalSearch<Neighbor>
{
public:
typedef typename Neighbor::EOT EOT;
typedef moNeighborhood<Neighbor> Neighborhood ;
/**
* Basic constructor of the Metropolis-Hasting
* @param _neighborhood the neighborhood
* @param _fullEval the full evaluation function
* @param _eval neighbor's evaluation function
* @param _nbStep maximum step to do
*/
moMetropolisHasting(Neighborhood& _neighborhood, eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, unsigned int _nbStep):
moLocalSearch<Neighbor>(explorer, trueCont, _fullEval),
explorer(_neighborhood, _eval, defaultNeighborComp, defaultSolNeighborComp, _nbStep)
{}
/**
* Simple constructor of the Metropolis-Hasting
* @param _neighborhood the neighborhood
* @param _fullEval the full evaluation function
* @param _eval neighbor's evaluation function
* @param _nbStep maximum step to do
* @param _cont an external continuator
*/
moMetropolisHasting(Neighborhood& _neighborhood, eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, unsigned int _nbStep, moContinuator<Neighbor>& _cont):
moLocalSearch<Neighbor>(explorer, _cont, _fullEval),
explorer(_neighborhood, _eval, defaultNeighborComp, defaultSolNeighborComp, _nbStep)
{}
/**
* General constructor of the Metropolis-Hasting
* @param _neighborhood the neighborhood
* @param _fullEval the full evaluation function
* @param _eval neighbor's evaluation function
* @param _nbStep maximum step to do
* @param _cont an external continuator
* @param _compN a neighbor vs neighbor comparator
* @param _compSN a solution vs neighbor comparator
*/
moMetropolisHasting(Neighborhood& _neighborhood, eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, unsigned int _nbStep, moContinuator<Neighbor>& _cont, moNeighborComparator<Neighbor>& _compN, moSolNeighborComparator<Neighbor>& _compSN):
moLocalSearch<Neighbor>(explorer, _cont, _fullEval),
explorer(_neighborhood, _eval, _compN, _compSN, _nbStep)
{}
private:
// always true continuator
moTrueContinuator<Neighbor> trueCont;
// compare the fitness values of neighbors
moNeighborComparator<Neighbor> defaultNeighborComp;
// compare the fitness values of the solution and the neighbor
moSolNeighborComparator<Neighbor> defaultSolNeighborComp;
// MetropolisHasting explorer
moMetropolisHastingExplorer<Neighbor> explorer;
};
#endif

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/*
<moMetropolisHastingExplorer.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 _moMetropolisHastingExplorer_h
#define _moMetropolisHastingExplorer_h
#include <cstdlib>
#include <explorer/moNeighborhoodExplorer.h>
#include <comparator/moNeighborComparator.h>
#include <comparator/moSolNeighborComparator.h>
#include <neighborhood/moNeighborhood.h>
#include <utils/eoRNG.h>
/**
* Explorer for the Metropolis-Hasting Sampling.
* Only the symetric case is considered when Q(x,y) = Q(y,x)
* Fitness must be > 0
*/
template< class Neighbor >
class moMetropolisHastingExplorer : public moNeighborhoodExplorer<Neighbor>
{
public:
typedef typename Neighbor::EOT EOT ;
typedef moNeighborhood<Neighbor> Neighborhood ;
using moNeighborhoodExplorer<Neighbor>::neighborhood;
using moNeighborhoodExplorer<Neighbor>::eval;
using moNeighborhoodExplorer<Neighbor>::selectedNeighbor;
/**
* Constructor
* @param _neighborhood the neighborhood
* @param _eval the evaluation function
* @param _neighborComparator a neighbor comparator
* @param _solNeighborComparator a solution vs neighbor comparator
* @param _nbStep maximum number of step to do
*/
moMetropolisHastingExplorer(Neighborhood& _neighborhood, moEval<Neighbor>& _eval, moNeighborComparator<Neighbor>& _neighborComparator, moSolNeighborComparator<Neighbor>& _solNeighborComparator, unsigned int _nbStep) : moNeighborhoodExplorer<Neighbor>(_neighborhood, _eval), neighborComparator(_neighborComparator), solNeighborComparator(_solNeighborComparator), nbStep(_nbStep) {
isAccept = false;
if (!neighborhood.isRandom()) {
std::cout << "moMetropolisHastingExplorer::Warning -> the neighborhood used is not random" << std::endl;
}
}
/**
* Destructor
*/
~moMetropolisHastingExplorer() {
}
/**
* initialization of the number of step to be done
* @param _solution unused solution
*/
virtual void initParam(EOT & _solution) {
step = 0;
isAccept = true;
};
/**
* 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 of a solution
* @param _solution
*/
virtual void operator()(EOT & _solution) {
//Test if _solution has a Neighbor
if (neighborhood.hasNeighbor(_solution)) {
//init the first neighbor
neighborhood.init(_solution, selectedNeighbor);
//eval the _solution moved with the neighbor and stock the result in the neighbor
eval(_solution, selectedNeighbor);
}
else {
//if _solution hasn't neighbor,
isAccept=false;
}
};
/**
* continue if there is a neighbor and it is remainds some steps to do
* @param _solution the solution
* @return true there is some steps to do
*/
virtual bool isContinue(EOT & _solution) {
return (step < nbStep) ;
};
/**
* accept test if an ameliorated neighbor was found
* @param _solution the solution
* @return true if the best neighbor ameliorate the fitness
*/
virtual bool accept(EOT & _solution) {
double alpha=0.0;
if (neighborhood.hasNeighbor(_solution)) {
if (solNeighborComparator(_solution, selectedNeighbor))
isAccept = true;
else {
if (_solution.fitness() != 0) {
if ( (double)selectedNeighbor.fitness() < (double)_solution.fitness()) // maximizing
alpha = (double) selectedNeighbor.fitness() / (double) _solution.fitness();
else //minimizing
alpha = (double) _solution.fitness() / (double) selectedNeighbor.fitness();
isAccept = (rng.uniform() < alpha) ;
}
else {
if ( (double) selectedNeighbor.fitness() < (double) _solution.fitness()) // maximizing
isAccept = true;
else
isAccept = false;
}
}
}
return isAccept;
};
private:
// comparator betwenn solution and neighbor or between neighbors
moNeighborComparator<Neighbor>& neighborComparator;
moSolNeighborComparator<Neighbor>& solNeighborComparator;
// current number of step
unsigned int step;
// maximum number of steps to do
unsigned int nbStep;
// true if the move is accepted
bool isAccept ;
};
#endif

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@ -0,0 +1,182 @@
/*
<moSAexplorer.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 _moSAexplorer_h
#define _moSAexplorer_h
#include <cstdlib>
#include <explorer/moNeighborhoodExplorer.h>
#include <comparator/moSolNeighborComparator.h>
#include <coolingSchedule/moCoolingSchedule.h>
#include <neighborhood/moNeighborhood.h>
#include <utils/eoRNG.h>
/**
* Explorer for the Simulated Annealing
* Only the symetric case is considered when Q(x,y) = Q(y,x)
* Fitness must be > 0
*
*/
template< class Neighbor >
class moSAexplorer : public moNeighborhoodExplorer<Neighbor>
{
public:
typedef typename Neighbor::EOT EOT ;
typedef moNeighborhood<Neighbor> Neighborhood ;
using moNeighborhoodExplorer<Neighbor>::neighborhood;
using moNeighborhoodExplorer<Neighbor>::eval;
using moNeighborhoodExplorer<Neighbor>::selectedNeighbor;
/**
* Constructor
* @param _neighborhood the neighborhood
* @param _eval the evaluation function
* @param _solNeighborComparator a solution vs neighbor comparator
* @param _coolingSchedule the cooling schedule
*/
moSAexplorer(Neighborhood& _neighborhood, moEval<Neighbor>& _eval, moSolNeighborComparator<Neighbor>& _solNeighborComparator, moCoolingSchedule<EOT>& _coolingSchedule) : moNeighborhoodExplorer<Neighbor>(_neighborhood, _eval), solNeighborComparator(_solNeighborComparator), coolingSchedule(_coolingSchedule) {
isAccept = false;
if (!neighborhood.isRandom()) {
std::cout << "moSAexplorer::Warning -> the neighborhood used is not random" << std::endl;
}
}
/**
* Destructor
*/
~moSAexplorer() {
}
/**
* initialization of the initial temperature
* @param _solution the solution
*/
virtual void initParam(EOT & _solution) {
temperature = coolingSchedule.init(_solution);
isAccept = false;
};
/**
* decrease the temperature if necessary
* @param _solution unused solution
*/
virtual void updateParam(EOT & _solution) {
coolingSchedule.update(temperature, this->moveApplied(), _solution);
};
/**
* terminate: NOTHING TO DO
* @param _solution unused solution
*/
virtual void terminate(EOT & _solution) {};
/**
* Explore one random solution in the neighborhood
* @param _solution the solution
*/
virtual void operator()(EOT & _solution) {
//Test if _solution has a Neighbor
if (neighborhood.hasNeighbor(_solution)) {
//init on the first neighbor: supposed to be random solution in the neighborhood
neighborhood.init(_solution, selectedNeighbor);
//eval the _solution moved with the neighbor and stock the result in the neighbor
eval(_solution, selectedNeighbor);
}
else {
//if _solution hasn't neighbor,
isAccept=false;
}
};
/**
* continue if the temperature is not too low
* @param _solution the solution
* @return true if the criteria from the cooling schedule is true
*/
virtual bool isContinue(EOT & _solution) {
return coolingSchedule(temperature);
};
/**
* acceptance criterion according to the boltzmann criterion
* @param _solution the solution
* @return true if better neighbor or rnd < exp(delta f / T)
*/
virtual bool accept(EOT & _solution) {
if (neighborhood.hasNeighbor(_solution)) {
if (solNeighborComparator(_solution, selectedNeighbor)) // accept if the current neighbor is better than the solution
isAccept = true;
else {
double alpha=0.0;
double fit1, fit2;
fit1=(double)selectedNeighbor.fitness();
fit2=(double)_solution.fitness();
if (fit1 < fit2) // this is a maximization
alpha = exp((fit1 - fit2) / temperature );
else // this is a minimization
alpha = exp((fit2 - fit1) / temperature );
isAccept = (rng.uniform() < alpha) ;
}
}
return isAccept;
};
/**
* Getter
* @return the temperature
*/
double getTemperature() {
return temperature;
}
private:
// comparator betwenn solution and neighbor
moSolNeighborComparator<Neighbor>& solNeighborComparator;
moCoolingSchedule<EOT>& coolingSchedule;
// temperatur of the process
double temperature;
// true if the move is accepted
bool isAccept ;
};
#endif

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@ -39,7 +39,7 @@
#include <neighborhood/moNeighborhood.h>
#include <eval/moEval.h>
#include <eoEvalFunc.h>
#include <algo/moMetropolisHasting.h>
#include <algo/moMetropolisHastings.h>
#include <continuator/moNeighborBestStat.h>
#include <sampling/moFitnessCloudSampling.h>
@ -87,7 +87,7 @@ public:
delete localSearch;
// Metropolis-Hasting sampling
localSearch = new moMetropolisHasting<Neighbor>(_neighborhood, _fullEval, _eval, _nbStep);
localSearch = new moMetropolisHastings<Neighbor>(_neighborhood, _fullEval, _eval, _nbStep);
// delete the checkpoint with the wrong continuator
delete checkpoint;

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@ -39,7 +39,7 @@
#include <neighborhood/moNeighborhood.h>
#include <eval/moEval.h>
#include <eoEvalFunc.h>
#include <algo/moMetropolisHasting.h>
#include <algo/moMetropolisHastings.h>
#include <continuator/moNeighborFitnessStat.h>
#include <sampling/moFitnessCloudSampling.h>
@ -87,7 +87,7 @@ public:
delete localSearch;
// Metropolis-Hasting sampling
localSearch = new moMetropolisHasting<Neighbor>(_neighborhood, _fullEval, _eval, _nbStep);
localSearch = new moMetropolisHastings<Neighbor>(_neighborhood, _fullEval, _eval, _nbStep);
// delete the checkpoint with the wrong continuator
delete checkpoint;

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@ -0,0 +1,109 @@
#ifndef __moStdDevEstimator_h__
#define __moStdDevEstimator_h__
#include <eo>
#include <mo>
#include <moFitnessVarianceStat.h> // TODO rm
#include <iostream> // TODO rm
// TODO make tests
template< class EOT, class Neighbor >
class moStdDevEstimator : public eoUF<EOT&, double>
{
public:
/**
* General constructor for the estimator
* @param continuator a user-defined continuator
* @param neighborhood the neighborhood
* @param fullEval the full evaluation function
* @param eval neighbor's evaluation function
* @param walker a local search algorithm
*/
moStdDevEstimator<EOT,Neighbor> (
moContinuator<Neighbor>& continuator,
moNeighborhood < Neighbor > & neighborhood,
eoEvalFunc<EOT>& fullEval,
/* The following should be read:
moEval<Neighbor>& eval = _default_eval
* (which is not possible to achieve as is in C++) */
const eoOptional< moEval<Neighbor> >& eval = eoOptional< moEval<Neighbor> >::null,
const eoOptional< moLocalSearch<Neighbor> >& walker = eoOptional< moLocalSearch<Neighbor> >::null
)
: _default_eval ( fullEval ),
_eval(eval.hasValue()? eval.get(): _default_eval),
_default_continuator( 0 ),
_continuator( _continuator ),
_checkpoint( _continuator ),
_default_walker( neighborhood, fullEval, _eval, _checkpoint ),
_walker( walker.hasValue()? walker.get(): _default_walker )
{
_checkpoint.add( _varStat );
}
/**
* Simpler constructor for the estimator
* @param max_iters the number of steps the default moIterContinuator should perform
* @param neighborhood the neighborhood
* @param fullEval the full evaluation function
* @param eval neighbor's evaluation function
* @param walker a local search algorithm
*/
moStdDevEstimator<EOT,Neighbor> (
unsigned int max_iters,
moNeighborhood < Neighbor > & neighborhood,
eoEvalFunc<EOT>& fullEval,
const eoOptional< moEval<Neighbor> >& eval = eoOptional< moEval<Neighbor> >::null,
const eoOptional< moLocalSearch<Neighbor> >& walker = eoOptional< moLocalSearch<Neighbor> >::null
)
: _default_eval ( fullEval ),
_eval(eval.hasValue()? eval.get(): _default_eval),
_default_continuator( max_iters, false ),
_continuator( _default_continuator ),
_checkpoint( _continuator ),
_default_walker( neighborhood, fullEval, _eval, _checkpoint ),
_walker( walker.hasValue()? walker.get(): _default_walker )
{
_checkpoint.add( _varStat );
}
/**
* Evaluates the estimator with the walker algorithm and returns the standard deviation
* @param solution the solution from where to start the walk
*/
double operator()( EOT & solution )
{
_walker(solution);
return sqrt(_varStat.value());
}
/**
* @return the class name
*/
virtual std::string className(void) const {
return "moStdDevEstimator";
}
private:
moFullEvalByCopy <Neighbor> _default_eval;
moEval<Neighbor>& _eval;
moIterContinuator <Neighbor> _default_continuator;
moContinuator <Neighbor>& _continuator;
moCheckpoint <Neighbor> _checkpoint;
moRandomWalk <Neighbor> _default_walker;
moLocalSearch <Neighbor> _walker;
moFitnessVarianceStat<EOT> _varStat;
};
#endif // __moStdDevEstimator_h__

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@ -38,7 +38,7 @@ set (TEST_LIST
t-moNeutralHCexplorer
t-moFirstImprHCexplorer
t-moRandomWalkExplorer
t-moMetropolisHastingExplorer
t-moMetropolisHastingsExplorer
t-moRandomNeutralWalkExplorer
t-moTSexplorer
t-moSolComparator
@ -52,7 +52,7 @@ set (TEST_LIST
t-moMonOpPerturb
t-moRestartPerturb
t-moNeighborhoodPerturb
t-moSAexplorer
t-moSAExplorer
t-moSA
t-moLocalSearch
t-moILSexplorer
@ -65,7 +65,7 @@ set (TEST_LIST
t-moILS
t-moDummyLS
t-moRandomSearch
t-moMetropolisHasting
t-moMetropolisHastings
t-moNeutralHC
t-moRandomWalk
t-moRandomNeutralWalk

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@ -0,0 +1,65 @@
/*
<t-moMetropolisHasting.cpp>
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 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
*/
#include <iostream>
#include <cstdlib>
#include <cassert>
#include <algo/moMetropolisHasting.h>
#include "moTestClass.h"
#include <eval/oneMaxEval.h>
#include <continuator/moTrueContinuator.h>
#include <comparator/moSolNeighborComparator.h>
#include <comparator/moNeighborComparator.h>
int main() {
std::cout << "[t-moMetropolisHasting] => START" << std::endl;
bitNeighborhood nh(4);
oneMaxEval<bitVector> fullEval;
evalOneMax eval(4);
moTrueContinuator<bitNeighbor> cont;
moSolNeighborComparator<bitNeighbor> sncomp;
moNeighborComparator<bitNeighbor> ncomp;
//test du 1er constructeur
moMetropolisHasting<bitNeighbor> test1(nh, fullEval, eval, 3);
//test du 2eme constructeur
moMetropolisHasting<bitNeighbor> test2(nh, fullEval, eval, 3, cont);
//test du 3eme constructeur
moMetropolisHasting<bitNeighbor> test3(nh, fullEval, eval, 3, cont, ncomp, sncomp);
std::cout << "[t-moMetropolisHasting] => OK" << std::endl;
return EXIT_SUCCESS;
}

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@ -0,0 +1,97 @@
/*
<t-moMetropolisHastingExplorer.cpp>
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 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
*/
#include <explorer/moMetropolisHastingExplorer.h>
#include "moTestClass.h"
#include <iostream>
#include <cstdlib>
#include <cassert>
int main() {
std::cout << "[t-moMetropolisHastingExplorer] => START" << std::endl;
//Instanciation
eoBit<eoMinimizingFitness> sol(4, true);
sol.fitness(4);
bitNeighborhood nh(4);
evalOneMax eval(4);
moNeighborComparator<bitNeighbor> ncomp;
moSolNeighborComparator<bitNeighbor> sncomp;
moMetropolisHastingExplorer<bitNeighbor> test(nh, eval, ncomp, sncomp, 3);
//test de l'acceptation d'un voisin améliorant
test.initParam(sol);
test(sol);
assert(test.accept(sol));
test.move(sol);
assert(sol.fitness()==3);
test.updateParam(sol);
assert(test.isContinue(sol));
unsigned int oui=0, non=0;
//test de l'acceptation d'un voisin non améliorant
for (unsigned int i=0; i<1000; i++) {
test(sol);
if (test.accept(sol))
oui++;
else
non++;
}
std::cout << "Attention test en fonction d'une proba \"p\" uniforme dans [0,1] , oui si p < 3/4, non sinon -> resultat sur 1000 essai" << std::endl;
std::cout << "oui: " << oui << std::endl;
std::cout << "non: " << non << std::endl;
assert(oui > 700 && oui < 800); //verification grossiere
//test du critere d'arret
test.updateParam(sol);
assert(test.isContinue(sol));
test.updateParam(sol);
assert(!test.isContinue(sol));
//test de l'acceptation d'un voisin
sol[0]=false;
sol[1]=false;
sol[2]=false;
sol[3]=false;
sol.fitness(0);
test.initParam(sol);
test(sol);
assert(!test.accept(sol));
std::cout << "[t-moMetropolisHastingExplorer] => OK" << std::endl;
return EXIT_SUCCESS;
}

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/*
<t-moSAexplorer.cpp>
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 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
*/
#include <iostream>
#include <cstdlib>
#include <cassert>
#include "moTestClass.h"
#include <explorer/moSAexplorer.h>
#include <coolingSchedule/moSimpleCoolingSchedule.h>
int main() {
std::cout << "[t-moSAexplorer] => START" << std::endl;
eoBit<eoMinimizingFitness> sol(4, true);
sol.fitness(4);
bitNeighborhood nh(4);
bitNeighborhood emptyNH(0);
evalOneMax eval(4);
moSolNeighborComparator<bitNeighbor> sncomp;
moSimpleCoolingSchedule<bitVector> cool(10,0.1,2,0.1);
moSAexplorer<bitNeighbor> test1(emptyNH, eval, sncomp, cool);
moSAexplorer<bitNeighbor> test2(nh, eval, sncomp, cool);
//test d'un voisinage vide
test1.initParam(sol);
test1(sol);
assert(!test1.accept(sol));
assert(test1.getTemperature()==10.0);
//test d'un voisinage "normal"
test2.initParam(sol);
test2(sol);
assert(test2.accept(sol));
test2.updateParam(sol);
assert(test2.isContinue(sol));
test2.move(sol);
assert(sol.fitness()==3);
unsigned int ok=0;
unsigned int ko=0;
for (unsigned int i=0; i<1000; i++) {
test2(sol);
if (test2.isContinue(sol))
test2.updateParam(sol);
if (test2.accept(sol))
ok++;
else
ko++;
test2.move(sol);
}
assert((ok>0) && (ko>0));
std::cout << "[t-moSAexplorer] => OK" << std::endl;
return EXIT_SUCCESS;
}