📄 eolinearfitscaling.h
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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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