eosgagenop.h

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// -*- 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 :-) *****************************************************************************/template<class EOT> class eoSGAGenOp : public eoGenOp<EOT>{ 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<EOT>& _cross, double _pCross, 		 eoMonOp<EOT>& _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<EOT>& _pop)  {    op.apply(_pop);  }  /** inherited from eoGenOp */  virtual unsigned max_production(void) {return 2;}  virtual std::string className() const {return "eoSGAGenOp";} private:  eoQuadOp<EOT> &cross;   // eoInvalidateXXX take the boolean output  double pCross;  eoMonOp<EOT> & mut;      // of the XXX op and invalidate the EOT  double pMut;  eoProportionalOp<EOT> propOp;  eoQuadCloneOp<EOT> quadClone;  eoSequentialOp<EOT> op;};#endif

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