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📄 eolinearfitscaling.h

📁 这是linux下的进化计算的源代码。 === === === === === === === === === === === ===== check latest news at http:
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/** -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-   -----------------------------------------------------------------------------   eoLinearFitScaling.h   (c) GeNeura Team, 1998, Maarten Keijzer, Marc Schoenauer, 2001   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             Marc.Schoenauer@polytechnique.fr             mkeijzer@dhi.dk *///-----------------------------------------------------------------------------#ifndef eoLinearFitScaling_h#define eoLinearFitScaling_h#include <eoSelectFromWorth.h>#include <eoPerf2Worth.h>/** An instance of eoPerf2Worth *  COmputes the linearly scaled fitnesses *  with given selective pressure *  Pselect(Best) == pressure/sizePop *  Pselect(average) == 1.0/sizePop *  truncate negative values to 0 - * * to be used within an eoSelectFromWorth object */template <class EOT>class eoLinearFitScaling : public eoPerf2Worth<EOT> // false: do not cache fitness{public:    using eoPerf2Worth<EOT>::value;    /* Ctor:       @param _p selective pressure (in (1,2])       @param _e exponent (1 == linear)    */    eoLinearFitScaling(double _p=2.0)        : pressure(_p) {}    /* COmputes the ranked fitness: fitnesses range in [m,M]       with m=2-pressure/popSize and M=pressure/popSize.       in between, the progression depends on exponent (linear if 1).    */    virtual void operator()(const eoPop<EOT>& _pop) {        unsigned pSize =_pop.size();        // value() refers to the vector of worthes (we're in an eoParamvalue)        value().resize(pSize);        // best and worse fitnesses        double bestFitness = static_cast<double> (_pop.best_element().fitness());        //    double worstFitness = static_cast<double> (_pop.worse_element().fitness());        // average fitness        double sum=0.0;        unsigned i;        for (i=0; i<pSize; i++)            sum += static_cast<double>(_pop[i].fitness());        double averageFitness = sum/pSize;        // the coefficients for linear scaling        double denom = pSize*(bestFitness - averageFitness);        double alpha = (pressure-1)/denom;        double beta = (bestFitness - pressure*averageFitness)/denom;        for (i=0; i<pSize; i++) { // truncate to 0            value()[i] = std::max(alpha*_pop[i].fitness()+beta, 0.0);        }    }private:    double pressure;	// selective pressure};#endif

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