Factorize algorithms code in a hierarchy of classes
CMAES-like algorithm (edoAlgoAdaptive) main loop work on an extern distribution passed as a reference, which is updated at each iteration EDA-like algorithm (edoAlgoStateless) work on an intern distribution, that is replaced at each iteration edoAlgoStateless inherits from edoAlgoAdaptive, and embed a default member on which the work is done.
This commit is contained in:
Johann Dreo
parent
ae1d88f530
commit
8120116c1b
5 changed files with 136 additions and 80 deletions
|
|
@ -1,275 +0,0 @@
|
|||
/*
|
||||
The Evolving Distribution Objects framework (EDO) is a template-based,
|
||||
ANSI-C++ evolutionary computation library which helps you to write your
|
||||
own estimation of distribution algorithms.
|
||||
|
||||
This library is free software; you can redistribute it and/or
|
||||
modify it under the terms of the GNU Lesser General Public
|
||||
License as published by the Free Software Foundation; either
|
||||
version 2.1 of the License, or (at your option) any later version.
|
||||
|
||||
This library is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
||||
Lesser General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU Lesser General Public
|
||||
License along with this library; if not, write to the Free Software
|
||||
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
||||
|
||||
Copyright (C) 2010 Thales group
|
||||
*/
|
||||
/*
|
||||
Authors:
|
||||
Johann Dréo <johann.dreo@thalesgroup.com>
|
||||
Pierre Savéant <pierre.saveant@thalesgroup.com>
|
||||
*/
|
||||
|
||||
#ifndef _edoAdaptiveAlgo_h
|
||||
#define _edoAdaptiveAlgo_h
|
||||
|
||||
#include <eo>
|
||||
|
||||
#include <utils/eoRNG.h>
|
||||
|
||||
#include "edoAlgo.h"
|
||||
#include "edoEstimator.h"
|
||||
#include "edoModifierMass.h"
|
||||
#include "edoSampler.h"
|
||||
#include "edoContinue.h"
|
||||
|
||||
//! edoEDA< D >
|
||||
|
||||
/** A generic stochastic search template for algorithms that need a distribution parameter.
|
||||
*/
|
||||
template < typename EOD >
|
||||
class edoAdaptiveAlgo : public edoAlgo< EOD >
|
||||
{
|
||||
public:
|
||||
//! Alias for the type EOT
|
||||
typedef typename EOD::EOType EOType;
|
||||
|
||||
//! Alias for the atom type
|
||||
typedef typename EOType::AtomType AtomType;
|
||||
|
||||
//! Alias for the fitness
|
||||
typedef typename EOType::Fitness Fitness;
|
||||
|
||||
public:
|
||||
|
||||
/*!
|
||||
Takes algo operators, all are mandatory
|
||||
|
||||
\param distrib A distribution to use, if you want to update this parameter (e.gMA-ES) instead of replacing it (e.g. an EDA)
|
||||
\param evaluation Evaluate a population
|
||||
\param selector Selection of the best candidate solutions in the population
|
||||
\param estimator Estimation of the distribution parameters
|
||||
\param sampler Generate feasible solutions using the distribution
|
||||
\param replacor Replace old solutions by new ones
|
||||
\param pop_continuator Stopping criterion based on the population features
|
||||
\param distribution_continuator Stopping criterion based on the distribution features
|
||||
*/
|
||||
edoAdaptiveAlgo(
|
||||
EOD & distrib,
|
||||
eoPopEvalFunc < EOType > & evaluator,
|
||||
eoSelect< EOType > & selector,
|
||||
edoEstimator< EOD > & estimator,
|
||||
edoSampler< EOD > & sampler,
|
||||
eoReplacement< EOType > & replacor,
|
||||
eoContinue< EOType > & pop_continuator,
|
||||
edoContinue< EOD > & distribution_continuator
|
||||
) :
|
||||
_dummy_distrib(),
|
||||
_distrib(distrib),
|
||||
_evaluator(evaluator),
|
||||
_selector(selector),
|
||||
_estimator(estimator),
|
||||
_sampler(sampler),
|
||||
_replacor(replacor),
|
||||
_pop_continuator(pop_continuator),
|
||||
_dummy_continue(),
|
||||
_distribution_continuator(distribution_continuator)
|
||||
{}
|
||||
|
||||
/*!
|
||||
Without a distribution
|
||||
|
||||
\param evaluation Evaluate a population
|
||||
\param selector Selection of the best candidate solutions in the population
|
||||
\param estimator Estimation of the distribution parameters
|
||||
\param sampler Generate feasible solutions using the distribution
|
||||
\param replacor Replace old solutions by new ones
|
||||
\param pop_continuator Stopping criterion based on the population features
|
||||
\param distribution_continuator Stopping criterion based on the distribution features
|
||||
*/
|
||||
edoAdaptiveAlgo(
|
||||
eoPopEvalFunc < EOType > & evaluator,
|
||||
eoSelect< EOType > & selector,
|
||||
edoEstimator< EOD > & estimator,
|
||||
edoSampler< EOD > & sampler,
|
||||
eoReplacement< EOType > & replacor,
|
||||
eoContinue< EOType > & pop_continuator,
|
||||
edoContinue< EOD > & distribution_continuator
|
||||
) :
|
||||
_dummy_distrib(),
|
||||
_distrib( _dummy_distrib ),
|
||||
_evaluator(evaluator),
|
||||
_selector(selector),
|
||||
_estimator(estimator),
|
||||
_sampler(sampler),
|
||||
_replacor(replacor),
|
||||
_pop_continuator(pop_continuator),
|
||||
_dummy_continue(),
|
||||
_distribution_continuator(distribution_continuator)
|
||||
{}
|
||||
|
||||
|
||||
//! constructor without an edoContinue
|
||||
/*!
|
||||
Takes algo operators, all are mandatory
|
||||
|
||||
\param distrib A distribution to use, if you want to update this parameter (e.gMA-ES) instead of replacing it (e.g. an EDA)
|
||||
\param evaluation Evaluate a population
|
||||
\param selector Selection of the best candidate solutions in the population
|
||||
\param estimator Estimation of the distribution parameters
|
||||
\param sampler Generate feasible solutions using the distribution
|
||||
\param replacor Replace old solutions by new ones
|
||||
\param pop_continuator Stopping criterion based on the population features
|
||||
*/
|
||||
edoAdaptiveAlgo (
|
||||
EOD & distrib,
|
||||
eoPopEvalFunc < EOType > & evaluator,
|
||||
eoSelect< EOType > & selector,
|
||||
edoEstimator< EOD > & estimator,
|
||||
edoSampler< EOD > & sampler,
|
||||
eoReplacement< EOType > & replacor,
|
||||
eoContinue< EOType > & pop_continuator
|
||||
) :
|
||||
_dummy_distrib(),
|
||||
_distrib( distrib ),
|
||||
_evaluator(evaluator),
|
||||
_selector(selector),
|
||||
_estimator(estimator),
|
||||
_sampler(sampler),
|
||||
_replacor(replacor),
|
||||
_pop_continuator(pop_continuator),
|
||||
_dummy_continue(),
|
||||
_distribution_continuator( _dummy_continue )
|
||||
{}
|
||||
|
||||
//! constructor without an edoContinue nor a distribution
|
||||
/*!
|
||||
\param evaluation Evaluate a population
|
||||
\param selector Selection of the best candidate solutions in the population
|
||||
\param estimator Estimation of the distribution parameters
|
||||
\param sampler Generate feasible solutions using the distribution
|
||||
\param replacor Replace old solutions by new ones
|
||||
\param pop_continuator Stopping criterion based on the population features
|
||||
*/
|
||||
edoAdaptiveAlgo (
|
||||
eoPopEvalFunc < EOType > & evaluator,
|
||||
eoSelect< EOType > & selector,
|
||||
edoEstimator< EOD > & estimator,
|
||||
edoSampler< EOD > & sampler,
|
||||
eoReplacement< EOType > & replacor,
|
||||
eoContinue< EOType > & pop_continuator
|
||||
) :
|
||||
_dummy_distrib(),
|
||||
_distrib( _dummy_distrib ),
|
||||
_evaluator(evaluator),
|
||||
_selector(selector),
|
||||
_estimator(estimator),
|
||||
_sampler(sampler),
|
||||
_replacor(replacor),
|
||||
_pop_continuator(pop_continuator),
|
||||
_dummy_continue(),
|
||||
_distribution_continuator( _dummy_continue )
|
||||
{}
|
||||
|
||||
|
||||
/** Call the algorithm
|
||||
*
|
||||
* \param pop the population of candidate solutions
|
||||
* \return void
|
||||
*/
|
||||
void operator ()(eoPop< EOType > & pop)
|
||||
{
|
||||
assert(pop.size() > 0);
|
||||
|
||||
eoPop< EOType > current_pop;
|
||||
eoPop< EOType > selected_pop;
|
||||
|
||||
// update the extern distribution passed to the estimator (cf. CMA-ES)
|
||||
// OR replace the dummy distribution for estimators that do not need extern distributions (cf. EDA)
|
||||
_distrib = _estimator(pop);
|
||||
|
||||
// Evaluating a first time the candidate solutions
|
||||
// The first pop is not supposed to be evaluated (@see eoPopLoopEval).
|
||||
// _evaluator( current_pop, pop );
|
||||
|
||||
do {
|
||||
// (1) Selection of the best points in the population
|
||||
_selector(pop, selected_pop);
|
||||
assert( selected_pop.size() > 0 );
|
||||
|
||||
// (2) Estimation of the distribution parameters
|
||||
_distrib = _estimator(selected_pop);
|
||||
|
||||
// (3) sampling
|
||||
// The sampler produces feasible solutions (@see edoSampler that
|
||||
// encapsulate an edoBounder)
|
||||
current_pop.clear();
|
||||
for( unsigned int i = 0; i < pop.size(); ++i ) {
|
||||
current_pop.push_back( _sampler(_distrib) );
|
||||
}
|
||||
|
||||
// (4) Evaluate new solutions
|
||||
_evaluator( pop, current_pop );
|
||||
|
||||
// (5) Replace old solutions by new ones
|
||||
_replacor(pop, current_pop); // e.g. copy current_pop in pop
|
||||
|
||||
} while( _distribution_continuator( _distrib ) && _pop_continuator( pop ) );
|
||||
} // operator()
|
||||
|
||||
|
||||
protected:
|
||||
|
||||
/** A dummy distribution, for algorithms willing to replace it instead of updating
|
||||
*
|
||||
* Thus we can instanciate _distrib on this and replace it at the first iteration with an estimator.
|
||||
* This is why an edoDistrib must have an empty constructor.
|
||||
*/
|
||||
EOD _dummy_distrib;
|
||||
|
||||
//! The distribution that you want to update
|
||||
EOD & _distrib;
|
||||
|
||||
//! A full evaluation function.
|
||||
eoPopEvalFunc<EOType> & _evaluator;
|
||||
|
||||
//! A EOType selector
|
||||
eoSelect<EOType> & _selector;
|
||||
|
||||
//! A EOType estimator. It is going to estimate distribution parameters.
|
||||
edoEstimator<EOD> & _estimator;
|
||||
|
||||
//! A D sampler
|
||||
edoSampler<EOD> & _sampler;
|
||||
|
||||
//! A EOType replacor
|
||||
eoReplacement<EOType> & _replacor;
|
||||
|
||||
//! A EOType population continuator
|
||||
eoContinue<EOType> & _pop_continuator;
|
||||
|
||||
//! A D continuator that always return true
|
||||
edoDummyContinue<EOD> _dummy_continue;
|
||||
|
||||
//! A D continuator
|
||||
edoContinue<EOD> & _distribution_continuator;
|
||||
|
||||
};
|
||||
|
||||
#endif // !_edoAdaptiveAlgo_h
|
||||
|
||||
Reference in a new issue