// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*- //----------------------------------------------------------------------------- // eoSGAGenOp.h // (c) Marc.Schoenauer 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 mak@dhi.dk */ //----------------------------------------------------------------------------- #ifndef _eoSGAGenOp_h #define _eoSGAGenOp_h #include "eoGenOp.h" #include "eoInvalidateOps.h" /////////////////////////////////////////////////////////////////////////////// // class eoSGAGenOp /////////////////////////////////////////////////////////////////////////////// /** * eoSGAGenOp (for Simple GA) mimicks the usual crossover with proba pCross + * mutation with proba pMut inside an eoGeneralOp * It does it exactly as class eoSGATransform, i.e. only accepts * quadratic crossover and unary mutation * It was introduced for didactic reasons, but seems to be popular :-) * * @ingroup Combination */ template class eoSGAGenOp : public eoGenOp { public: /** Ctor from crossover (with proba) and mutation (with proba) * Builds the sequential op that first applies a proportional choice * between the crossover and nothing (cloning), then the mutation */ eoSGAGenOp(eoQuadOp& _cross, double _pCross, eoMonOp& _mut, double _pMut) : cross(_cross), pCross(_pCross), mut(_mut), pMut(_pMut) { // the crossover - with probability pCross propOp.add(cross, pCross); // crossover, with proba pcross propOp.add(quadClone, 1-pCross); // nothing, with proba 1-pcross // now the sequential op.add(propOp, 1.0); // always do combined crossover op.add(mut, pMut); // then mutation, with proba pmut } /** do the job: delegate to op */ virtual void apply(eoPopulator& _pop) { op.apply(_pop); } /** inherited from eoGenOp */ virtual unsigned max_production(void) {return 2;} virtual std::string className() const {return "eoSGAGenOp";} private: eoQuadOp ✗ // eoInvalidateXXX take the boolean output double pCross; eoMonOp & mut; // of the XXX op and invalidate the EOT double pMut; eoProportionalOp propOp; eoQuadCloneOp quadClone; eoSequentialOp op; }; #endif