paradiseo/trunk/paradiseo-peo/tutorial/Lesson7/make_ea_moeo.h
canape 53abc21464 Parallel MOEO
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@849 331e1502-861f-0410-8da2-ba01fb791d7f
2007-12-20 09:29:22 +00:00

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/*
* <make_ea_moeo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* 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 MAKE_EA_MOEO_H_
#define MAKE_EA_MOEO_H_
#include <stdlib.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <utils/eoParser.h>
#include <utils/eoState.h>
#include <algo/moeoEA.h>
#include <algo/moeoEasyEA.h>
#include <archive/moeoArchive.h>
#include <comparator/moeoAggregativeComparator.h>
#include <comparator/moeoComparator.h>
#include <comparator/moeoDiversityThenFitnessComparator.h>
#include <comparator/moeoFitnessThenDiversityComparator.h>
#include <diversity/moeoDiversityAssignment.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <diversity/moeoFrontByFrontCrowdingDiversityAssignment.h>
#include <diversity/moeoFrontByFrontSharingDiversityAssignment.h>
#include <fitness/moeoDummyFitnessAssignment.h>
#include <fitness/moeoExpBinaryIndicatorBasedFitnessAssignment.h>
#include <fitness/moeoFastNonDominatedSortingFitnessAssignment.h>
#include <fitness/moeoFitnessAssignment.h>
#include <metric/moeoAdditiveEpsilonBinaryMetric.h>
#include <metric/moeoHypervolumeBinaryMetric.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <replacement/moeoElitistReplacement.h>
#include <replacement/moeoEnvironmentalReplacement.h>
#include <replacement/moeoGenerationalReplacement.h>
#include <replacement/moeoReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
#include <selection/moeoRandomSelect.h>
#include <selection/moeoStochTournamentSelect.h>
#include <selection/moeoSelectOne.h>
#include <selection/moeoSelectors.h>
/**
* This functions allows to build a moeoEA from the parser
* @param _parser the parser
* @param _state to store allocated objects
* @param _eval the funtions evaluator
* @param _continue the stopping crietria
* @param _op the variation operators
* @param _archive the archive of non-dominated solutions
*/
template < class MOEOT >
moeoEA < MOEOT > & do_make_ea_moeo(eoParser & _parser, eoState & _state, eoPopEvalFunc < MOEOT > & _eval, eoContinue < MOEOT > & _continue, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT > & _archive)
{
/* the objective vector type */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/* the fitness assignment strategy */
std::string & fitnessParam = _parser.createParam(std::string("FastNonDominatedSorting"), "fitness",
"Fitness assignment scheme: Dummy, FastNonDominatedSorting or IndicatorBased", 'F',
"Evolution Engine").value();
std::string & indicatorParam = _parser.createParam(std::string("Epsilon"), "indicator",
"Binary indicator for IndicatorBased: Epsilon, Hypervolume", 'i',
"Evolution Engine").value();
double rho = _parser.createParam(1.1, "rho", "reference point for the hypervolume indicator", 'r',
"Evolution Engine").value();
double kappa = _parser.createParam(0.05, "kappa", "Scaling factor kappa for IndicatorBased", 'k',
"Evolution Engine").value();
moeoFitnessAssignment < MOEOT > * fitnessAssignment;
if (fitnessParam == std::string("Dummy"))
{
fitnessAssignment = new moeoDummyFitnessAssignment < MOEOT> ();
}
else if (fitnessParam == std::string("FastNonDominatedSorting"))
{
fitnessAssignment = new moeoFastNonDominatedSortingFitnessAssignment < MOEOT> ();
}
else if (fitnessParam == std::string("IndicatorBased"))
{
// metric
moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > *metric;
if (indicatorParam == std::string("Epsilon"))
{
metric = new moeoAdditiveEpsilonBinaryMetric < ObjectiveVector >;
}
else if (indicatorParam == std::string("Hypervolume"))
{
metric = new moeoHypervolumeBinaryMetric < ObjectiveVector > (rho);
}
else
{
std::string stmp = std::string("Invalid binary quality indicator: ") + indicatorParam;
throw std::runtime_error(stmp.c_str());
}
fitnessAssignment = new moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT > (*metric, kappa);
}
else
{
std::string stmp = std::string("Invalid fitness assignment strategy: ") + fitnessParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(fitnessAssignment);
/* the diversity assignment strategy */
eoValueParam<eoParamParamType> & diversityParam = _parser.createParam(eoParamParamType("Dummy"), "diversity",
"Diversity assignment scheme: Dummy, Sharing(nicheSize) or Crowding", 'D', "Evolution Engine");
eoParamParamType & diversityParamValue = diversityParam.value();
moeoDiversityAssignment < MOEOT > * diversityAssignment;
if (diversityParamValue.first == std::string("Dummy"))
{
diversityAssignment = new moeoDummyDiversityAssignment < MOEOT> ();
}
else if (diversityParamValue.first == std::string("Sharing"))
{
double nicheSize;
if (!diversityParamValue.second.size()) // no parameter added
{
std::cerr << "WARNING, no niche size given for Sharing, using 0.5" << std::endl;
nicheSize = 0.5;
diversityParamValue.second.push_back(std::string("0.5"));
}
else
{
nicheSize = atoi(diversityParamValue.second[0].c_str());
}
diversityAssignment = new moeoFrontByFrontSharingDiversityAssignment < MOEOT> (nicheSize);
}
else if (diversityParamValue.first == std::string("Crowding"))
{
diversityAssignment = new moeoFrontByFrontCrowdingDiversityAssignment < MOEOT> ();
}
else
{
std::string stmp = std::string("Invalid diversity assignment strategy: ") + diversityParamValue.first;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(diversityAssignment);
/* the comparator strategy */
std::string & comparatorParam = _parser.createParam(std::string("FitnessThenDiversity"), "comparator",
"Comparator scheme: FitnessThenDiversity, DiversityThenFitness or Aggregative", 'C', "Evolution Engine").value();
moeoComparator < MOEOT > * comparator;
if (comparatorParam == std::string("FitnessThenDiversity"))
{
comparator = new moeoFitnessThenDiversityComparator < MOEOT> ();
}
else if (comparatorParam == std::string("DiversityThenFitness"))
{
comparator = new moeoDiversityThenFitnessComparator < MOEOT> ();
}
else if (comparatorParam == std::string("Aggregative"))
{
comparator = new moeoAggregativeComparator < MOEOT> ();
}
else
{
std::string stmp = std::string("Invalid comparator strategy: ") + comparatorParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(comparator);
/* the selection strategy */
eoValueParam < eoParamParamType > & selectionParam = _parser.createParam(eoParamParamType("DetTour(2)"), "selection",
"Selection scheme: DetTour(T), StochTour(t) or Random", 'S', "Evolution Engine");
eoParamParamType & ppSelect = selectionParam.value();
moeoSelectOne < MOEOT > * select;
if (ppSelect.first == std::string("DetTour"))
{
unsigned int tSize;
if (!ppSelect.second.size()) // no parameter added
{
std::cerr << "WARNING, no parameter passed to DetTour, using 2" << std::endl;
tSize = 2;
// put back 2 in parameter for consistency (and status file)
ppSelect.second.push_back(std::string("2"));
}
else // parameter passed by user as DetTour(T)
{
tSize = atoi(ppSelect.second[0].c_str());
}
select = new moeoDetTournamentSelect < MOEOT > (*comparator, tSize);
}
else if (ppSelect.first == std::string("StochTour"))
{
double tRate;
if (!ppSelect.second.size()) // no parameter added
{
std::cerr << "WARNING, no parameter passed to StochTour, using 1" << std::endl;
tRate = 1;
// put back 1 in parameter for consistency (and status file)
ppSelect.second.push_back(std::string("1"));
}
else // parameter passed by user as StochTour(T)
{
tRate = atof(ppSelect.second[0].c_str());
}
select = new moeoStochTournamentSelect < MOEOT > (*comparator, tRate);
}
/*
else if (ppSelect.first == string("Roulette"))
{
// TO DO !
// ...
}
*/
else if (ppSelect.first == std::string("Random"))
{
select = new moeoRandomSelect <MOEOT > ();
}
else
{
std::string stmp = std::string("Invalid selection strategy: ") + ppSelect.first;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(select);
/* the replacement strategy */
std::string & replacementParam = _parser.createParam(std::string("Elitist"), "replacement",
"Replacement scheme: Elitist, Environmental or Generational", 'R', "Evolution Engine").value();
moeoReplacement < MOEOT > * replace;
if (replacementParam == std::string("Elitist"))
{
replace = new moeoElitistReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
}
else if (replacementParam == std::string("Environmental"))
{
replace = new moeoEnvironmentalReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
}
else if (replacementParam == std::string("Generational"))
{
replace = new moeoGenerationalReplacement < MOEOT> ();
}
else
{
std::string stmp = std::string("Invalid replacement strategy: ") + replacementParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(replace);
/* the number of offspring */
eoValueParam < eoHowMany > & offspringRateParam = _parser.createParam(eoHowMany(1.0), "nbOffspring",
"Number of offspring (percentage or absolute)", 'O', "Evolution Engine");
// the general breeder
eoGeneralBreeder < MOEOT > * breed = new eoGeneralBreeder < MOEOT > (*select, _op, offspringRateParam.value());
_state.storeFunctor(breed);
// the eoEasyEA
moeoEA < MOEOT > * algo = new moeoEasyEA < MOEOT > (_continue, _eval, *breed, *replace, *fitnessAssignment, *diversityAssignment);
_state.storeFunctor(algo);
return *algo;
}
#endif /*MAKE_EA_MOEO_H_*/