📄 make_algo_pareto.h
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-//-----------------------------------------------------------------------------// make_algo_pareto.h// (c) Maarten Keijzer, Marc Schoenauer and GeNeura Team, 2002/* 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 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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Contact: todos@geneura.ugr.es, http://geneura.ugr.es Marc.Schoenauer@inria.fr mkeijzer@dhi.dk *///-----------------------------------------------------------------------------#ifndef _make_algo_pareto_h#define _make_algo_pareto_h#include "utils/eoData.h" // for eo_is_a_rate// everything tha's needed for the algorithms - SCALAR fitness// Selection// the eoSelectOne's#include "eoSelectFromWorth.h"#include "eoNDSorting.h"// Breeders#include "eoGeneralBreeder.h"// Replacement - at the moment limited to eoNDPlusReplacement, locally defined#include "eoReplacement.h"template <class EOT, class WorthT = double>class eoNDPlusReplacement : public eoReplacement<EOT>{public: eoNDPlusReplacement(eoPerf2Worth<EOT, WorthT>& _perf2worth) : perf2worth(_perf2worth) {} struct WorthPair : public std::pair<WorthT, const EOT*> { bool operator<(const WorthPair& other) const { return other.first < this->first; } }; void operator()(eoPop<EOT>& _parents, eoPop<EOT>& _offspring) { unsigned sz = _parents.size(); _parents.reserve(_parents.size() + _offspring.size()); copy(_offspring.begin(), _offspring.end(), back_inserter(_parents)); // calculate worths perf2worth(_parents); perf2worth.sort_pop(_parents); perf2worth.resize(_parents, sz); _offspring.clear(); }private : eoPerf2Worth<EOT, WorthT>& perf2worth;};// Algorithm (only this one needed)#include "eoEasyEA.h" // also need the parser and param includes#include "utils/eoParser.h"#include "utils/eoState.h"/* * This function builds the algorithm (i.e. selection and replacement) * from existing continue (or checkpoint) and operators * * It uses a parser (to get user parameters) and a state (to store the memory) * the last argument is an individual, needed for 2 reasons * it disambiguates the call after instanciations * some operator might need some private information about the indis * * This is why the template is the complete EOT even though only the fitness * is actually templatized here*/template <class EOT>eoAlgo<EOT> & do_make_algo_pareto(eoParser& _parser, eoState& _state, eoEvalFunc<EOT>& _eval, eoContinue<EOT>& _continue, eoGenOp<EOT>& _op){ // the selection std::string & selStr = _parser.createParam(std::string("NSGA-II"), "selCrit", "Pareto Selection Criterion: NSGA, NSGA-II, ParetoRanking", 'S', "Evolution Engine").value(); double nicheSize = _parser.createParam(1.0, "nicheSize", "Size of niche for NSGA-I", '\0', "Evolution Engine").value(); eoPerf2Worth<EOT, double> *p2w; if ( (selStr == std::string("NSGA")) || (selStr == std::string("NSGA-I") ) ) p2w = new eoNDSorting_I<EOT>(nicheSize); else if (selStr == std::string("NSGA-II")) p2w = new eoNDSorting_II<EOT>(); else if (selStr == std::string("ParetoRanking")) { eoDominanceMap<EOT>& dominance = _state.storeFunctor(new eoDominanceMap<EOT>); p2w = new eoParetoRanking<EOT>(dominance); } _state.storeFunctor(p2w); // now the selector (from p2w) - cut-and-pasted from make_algo_scalar! // only all classes are now ...FromWorth ... // only the ranking is not re-implemented (yet?) eoValueParam<eoParamParamType>& selectionParam = _parser.createParam(eoParamParamType("DetTour(2)"), "selection", "Selection: Roulette, DetTour(T), StochTour(t) or Random", 'S', "Evolution Engine"); eoParamParamType & ppSelect = selectionParam.value(); // std::pair<std::string,std::vector<std::string> > eoSelectOne<EOT>* select ; if (ppSelect.first == std::string("DetTour")) { unsigned detSize; if (!ppSelect.second.size()) // no parameter added { std::cerr << "WARNING, no parameter passed to DetTour, using 2" << std::endl; detSize = 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) detSize = atoi(ppSelect.second[0].c_str()); select = new eoDetTournamentWorthSelect<EOT>(*p2w, detSize); } else if (ppSelect.first == std::string("StochTour")) { double p; if (!ppSelect.second.size()) // no parameter added { std::cerr << "WARNING, no parameter passed to StochTour, using 1" << std::endl; p = 1; // put back p in parameter for consistency (and status file) ppSelect.second.push_back(std::string("1")); } else // parameter passed by user as DetTour(T) p = atof(ppSelect.second[0].c_str()); select = new eoStochTournamentWorthSelect<EOT>(*p2w, p); }// else if (ppSelect.first == std::string("Sequential")) // one after the other// {// bool b;// if (ppSelect.second.size() == 0) // no argument -> default = ordered// {// b=true;// // put back in parameter for consistency (and status file)// ppSelect.second.push_back(std::string("ordered"));// }// else// b = !(ppSelect.second[0] == std::string("unordered"));// select = new eoSequentialWorthSelect<EOT>(b);// } else if (ppSelect.first == std::string("Roulette")) // no argument (yet) { select = new eoRouletteWorthSelect<EOT>(*p2w); } else if (ppSelect.first == std::string("Random")) // no argument, no perf2Worth { select = new eoRandomSelect<EOT>; } else { std::string stmp = std::string("Invalid selection: ") + ppSelect.first; throw std::runtime_error(stmp.c_str()); } _state.storeFunctor(select); // the number of offspring eoValueParam<eoHowMany>& offspringRateParam = _parser.createParam(eoHowMany(1.0), "nbOffspring", "Nb of offspring (percentage or absolute)", 'O', "Evolution Engine"); // the replacement // actually limited to eoNDPlusReplacement eoReplacement<EOT> & replace = _state.storeFunctor( new eoNDPlusReplacement<EOT, double>(*p2w) ); // the general breeder eoGeneralBreeder<EOT> *breed = new eoGeneralBreeder<EOT>(*select, _op, offspringRateParam.value()); _state.storeFunctor(breed); // now the eoEasyEA eoAlgo<EOT> *algo = new eoEasyEA<EOT>(_continue, _eval, *breed, replace); _state.storeFunctor(algo); // that's it! return *algo;}#endif
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