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trunk/paradiseo-moeo/src/do/make_ea_moeo.h
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trunk/paradiseo-moeo/src/do/make_ea_moeo.h
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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//-----------------------------------------------------------------------------
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// make_ea_moeo.h
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// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
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/*
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This library...
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Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
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*/
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//-----------------------------------------------------------------------------
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#ifndef MAKE_EA_MOEO_H_
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#define MAKE_EA_MOEO_H_
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#include <stdlib.h>
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#include <eoContinue.h>
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#include <eoEvalFunc.h>
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#include <eoGeneralBreeder.h>
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#include <eoGenOp.h>
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#include <utils/eoParser.h>
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#include <utils/eoState.h>
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#include <moeoArchive.h>
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#include <moeoComparator.h>
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#include <moeoCrowdingDistanceDiversityAssignment.h>
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#include <moeoDetTournamentSelect.h>
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#include <moeoDiversityAssignment.h>
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#include <moeoEA.h>
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#include <moeoEasyEA.h>
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#include <moeoElitistReplacement.h>
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#include <moeoEnvironmentalReplacement.h>
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#include <moeoFastNonDominatedSortingFitnessAssignment.h>
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#include <moeoFitnessAssignment.h>
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#include <moeoGenerationalReplacement.h>
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#include <moeoIndicatorBasedFitnessAssignment.h>
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#include <moeoRandomSelect.h>
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#include <moeoReplacement.h>
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#include <moeoRouletteSelect.h>
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#include <moeoSelectOne.h>
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#include <moeoStochTournamentSelect.h>
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#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
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/**
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* This functions allows to build a moeoEA from the parser
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* @param _parser the parser
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* @param _state to store allocated objects
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* @param _eval the funtions evaluator
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* @param _continue the stopping crietria
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* @param _op the variation operators
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* @param _archive the archive of non-dominated solutions
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*/
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template < class MOEOT >
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moeoEA < MOEOT > & do_make_ea_moeo(eoParser & _parser, eoState & _state, eoEvalFunc < MOEOT > & _eval, eoContinue < MOEOT > & _continue, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT > & _archive)
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{
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/* the objective vector type */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/* the fitness assignment strategy */
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string & fitnessParam = _parser.createParam(string("FastNonDominatedSorting"), "fitness",
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"Fitness assignment scheme: Dummy, FastNonDominatedSorting or IndicatorBased", 'F',
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"Evolution Engine").value();
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string & indicatorParam = _parser.createParam(string("Epsilon"), "indicator",
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"Binary indicator for IndicatorBased: Epsilon, Hypervolume", 'i',
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"Evolution Engine").value();
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double rho = _parser.createParam(1.1, "rho", "reference point for the hypervolume indicator", 'r',
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"Evolution Engine").value();
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double kappa = _parser.createParam(0.05, "kappa", "Scaling factor kappa for IndicatorBased", 'k',
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"Evolution Engine").value();
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moeoFitnessAssignment < MOEOT > * fitnessAssignment;
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if (fitnessParam == string("Dummy"))
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{
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fitnessAssignment = new moeoDummyFitnessAssignment < MOEOT> ();
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}
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else if (fitnessParam == string("FastNonDominatedSorting"))
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{
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fitnessAssignment = new moeoFastNonDominatedSortingFitnessAssignment < MOEOT> ();
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}
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else if (fitnessParam == string("IndicatorBased"))
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{
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// metric
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moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > *metric;
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if (indicatorParam == string("Epsilon"))
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{
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metric = new moeoAdditiveEpsilonBinaryMetric < ObjectiveVector >;
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}
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else if (indicatorParam == string("Hypervolume"))
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{
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metric = new moeoHypervolumeBinaryMetric < ObjectiveVector > (rho);
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}
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else
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{
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string stmp = string("Invalid binary quality indicator: ") + indicatorParam;
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throw std::runtime_error(stmp.c_str());
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}
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fitnessAssignment = new moeoIndicatorBasedFitnessAssignment < MOEOT> (metric, kappa);
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}
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else
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{
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string stmp = string("Invalid fitness assignment strategy: ") + fitnessParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(fitnessAssignment);
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/* the diversity assignment strategy */
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string & diversityParam = _parser.createParam(string("Dummy"), "diversity",
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"Diversity assignment scheme: Dummy or CrowdingDistance", 'D', "Evolution Engine").value();
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moeoDiversityAssignment < MOEOT > * diversityAssignment;
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if (diversityParam == string("CrowdingDistance"))
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{
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diversityAssignment = new moeoCrowdingDistanceDiversityAssignment < MOEOT> ();
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}
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else if (diversityParam == string("Dummy"))
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{
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diversityAssignment = new moeoDummyDiversityAssignment < MOEOT> ();
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}
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else
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{
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string stmp = string("Invalid diversity assignment strategy: ") + diversityParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(diversityAssignment);
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/* the comparator strategy */
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string & comparatorParam = _parser.createParam(string("FitnessThenDiversity"), "comparator",
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"Comparator scheme: FitnessThenDiversity or DiversityThenFitness", 'C', "Evolution Engine").value();
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moeoComparator < MOEOT > * comparator;
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if (comparatorParam == string("FitnessThenDiversity"))
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{
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comparator = new moeoFitnessThenDiversityComparator < MOEOT> ();
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}
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else if (comparatorParam == string("DiversityThenFitness"))
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{
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comparator = new moeoDiversityThenFitnessComparator < MOEOT> ();
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}
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else
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{
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string stmp = string("Invalid comparator strategy: ") + comparatorParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(comparator);
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/* the selection strategy */
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eoValueParam < eoParamParamType > & selectionParam = _parser.createParam(eoParamParamType("DetTour(2)"), "selection",
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"Selection scheme: DetTour(T), StochTour(t) or Random", 'S', "Evolution Engine");
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eoParamParamType & ppSelect = selectionParam.value();
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moeoSelectOne < MOEOT > * select;
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if (ppSelect.first == string("DetTour"))
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{
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unsigned tSize;
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if (!ppSelect.second.size()) // no parameter added
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{
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cerr << "WARNING, no parameter passed to DetTour, using 2" << endl;
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tSize = 2;
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// put back 2 in parameter for consistency (and status file)
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ppSelect.second.push_back(string("2"));
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}
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else // parameter passed by user as DetTour(T)
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{
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tSize = atoi(ppSelect.second[0].c_str());
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}
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select = new moeoDetTournamentSelect < MOEOT > (*comparator, tSize);
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}
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else if (ppSelect.first == string("StochTour"))
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{
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double tRate;
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if (!ppSelect.second.size()) // no parameter added
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{
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cerr << "WARNING, no parameter passed to StochTour, using 1" << endl;
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tRate = 1;
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// put back 1 in parameter for consistency (and status file)
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ppSelect.second.push_back(string("1"));
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}
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else // parameter passed by user as StochTour(T)
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{
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tRate = atof(ppSelect.second[0].c_str());
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}
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select = new moeoStochTournamentSelect < MOEOT > (*comparator, tRate);
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}
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else if (ppSelect.first == string("Roulette"))
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{
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// TO DO !
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// ...
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}
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else if (ppSelect.first == string("Random"))
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{
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select = new moeoRandomSelect <MOEOT > ();
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}
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else
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{
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string stmp = string("Invalid selection strategy: ") + ppSelect.first;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(select);
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/* the replacement strategy */
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string & replacementParam = _parser.createParam(string("Elitist"), "replacement",
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"Replacement scheme: Elitist, Environmental or Generational", 'R', "Evolution Engine").value();
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moeoReplacement < MOEOT > * replace;
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if (replacementParam == string("Elitist"))
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{
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replace = new moeoElitistReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
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}
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else if (replacementParam == string("Environmental"))
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{
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replace = new moeoEnvironmentalReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
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}
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else if (replacementParam == string("Generational"))
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{
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replace = new moeoGenerationalReplacement < MOEOT> ();
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}
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else
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{
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string stmp = string("Invalid replacement strategy: ") + replacementParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(replace);
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/* the number of offspring */
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eoValueParam < eoHowMany > & offspringRateParam = _parser.createParam(eoHowMany(1.0), "nbOffspring",
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"Number of offspring (percentage or absolute)", 'O', "Evolution Engine");
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// the general breeder
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eoGeneralBreeder < MOEOT > * breed = new eoGeneralBreeder < MOEOT > (*select, _op, offspringRateParam.value());
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_state.storeFunctor(breed);
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// the eoEasyEA
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moeoEA < MOEOT > * algo = new moeoEasyEA < MOEOT > (_continue, _eval, *breed, *replace, *fitnessAssignment, *diversityAssignment);
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_state.storeFunctor(algo);
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return *algo;
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}
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#endif /*MAKE_EA_MOEO_H_*/
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