Added eoPropGAGenOp, the sequential application of crossover and mutation
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// combinations of simple eoOps (eoMonOp and eoQuadOp)
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// combinations of simple eoOps (eoMonOp and eoQuadOp)
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#include <eoProportionalCombinedOp.h>
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#include <eoProportionalCombinedOp.h>
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// didactic (mimics SGA-like variation into an eoGenOp)
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// didactic (mimics SGA-like variation into an eoGenOp)
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// calls crossover and mutation sequentially,
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// with their respective mutation rates
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#include <eoSGAGenOp.h>
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#include <eoSGAGenOp.h>
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// its dual: crossover, mutation (and copy) - proportional choice
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// w.r.t. given relative weights
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#include <eoPropGAGenOp.h>
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// population
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// population
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#include <eoPop.h>
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#include <eoPop.h>
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87
eo/src/eoPropGAGenOp.h
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87
eo/src/eoPropGAGenOp.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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// eoPropGAGenOp.h
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// (c) Marc.Schoenauer 2005
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/*
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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Contact: todos@geneura.ugr.es, http://geneura.ugr.es
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Marc.Schoenauer@inria.fr
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mak@dhi.dk
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*/
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//-----------------------------------------------------------------------------
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#ifndef _eoPropGAGenOp_h
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#define _eoPropGAGenOp_h
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#include "eoGenOp.h"
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#include "eoInvalidateOps.h"
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///////////////////////////////////////////////////////////////////////////////
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// class eoSGAGenOp
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///////////////////////////////////////////////////////////////////////////////
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/** ***************************************************************************
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* eoPropGAGenOp (for Simple GA, but Proportional)
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* choice between Crossover, mutation or cloining
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* with respect to given relatve weights
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*****************************************************************************/
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template<class EOT>
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class eoPropGAGenOp : public eoGenOp<EOT>
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{
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public:
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/** Ctor from
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* * weight of clone
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* * crossover (with weight)
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* * mutation (with weight)
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*/
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eoPropGAGenOp(double _wClone, eoQuadOp<EOT>& _cross, double _wCross,
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eoMonOp<EOT>& _mut, double _wMut)
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: wClone(_wClone),
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cross(_cross),
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wCross(_wCross),
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mut(_mut),
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wMut(_wMut)
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{
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propOp.add(cross, wCross); // the crossover - with weight wCross
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propOp.add(mut, wMut); // mutation with weight wMut
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propOp.add(monClone, wClone);
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}
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/** do the job: delegate to op */
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virtual void apply(eoPopulator<EOT>& _pop)
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{
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propOp.apply(_pop);
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}
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/** inherited from eoGenOp */
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virtual unsigned max_production(void) {return 2;}
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virtual std::string className() const {return "eoPropGAGenOp";}
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private:
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double wClone;
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eoQuadOp<EOT> ✗ // eoInvalidateXXX take the boolean output
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double wCross;
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eoMonOp<EOT> & mut; // of the XXX op and invalidate the EOT
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double wMut;
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eoProportionalOp<EOT> propOp;
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eoMonCloneOp<EOT> monClone;
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};
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#endif
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