/* * Open BEAGLE * Copyright (C) 2001-2005 by Christian Gagne and Marc Parizeau * * 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 2.1 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: * Laboratoire de Vision et Systemes Numeriques * Departement de genie electrique et de genie informatique * Universite Laval, Quebec, Canada, G1K 7P4 * http://vision.gel.ulaval.ca * */ /*! * \file beagle/src/StatsCalcFitnessMultiObjOp.cpp * \brief Source code of class StatsCalcFitnessMultiObjOp. * \author Christian Gagne * \author Marc Parizeau * $Revision: 1.8 $ * $Date: 2005/10/04 16:25:10 $ */ #include "beagle/Beagle.hpp" #include #include using namespace Beagle; /*! * \brief Construct a calculate stats operator. * \param inName Name of the operator. */ StatsCalcFitnessMultiObjOp::StatsCalcFitnessMultiObjOp(Beagle::string inName) : StatsCalculateOp(inName) { } /*! * \brief Calculate statistics of a given deme. * \param outStats Evaluated statistics. * \param ioDeme Deme to evalute the statistics. * \param ioContext Context of the evolution. */ void StatsCalcFitnessMultiObjOp::calculateStatsDeme(Stats& outStats, Deme& ioDeme, Context& ioContext) const { Beagle_StackTraceBeginM(); outStats.clear(); outStats.clearItems(); outStats.addItem("processed", ioContext.getProcessedDeme()); outStats.addItem("total-processed", ioContext.getTotalProcessedDeme()); if(ioDeme.size() == 0) { outStats.clear(); outStats.setGenerationValues(string("deme")+uint2str(ioContext.getDemeIndex()+1), ioContext.getGeneration(), 0, true); return; } outStats.clear(); outStats.setGenerationValues(string("deme")+uint2str(ioContext.getDemeIndex()+1), ioContext.getGeneration(), ioDeme.size(), true); const FitnessMultiObj::Handle lFirstIndivFitness = castHandleT(ioDeme[0]->getFitness()); for(unsigned int j=0; jsize(); ++j) { if(ioDeme.size() == 1) { outStats.push_back(Measure(string("objective")+uint2str(j), (*lFirstIndivFitness)[j], 0.0, (*lFirstIndivFitness)[j], (*lFirstIndivFitness)[j])); } else { double lSum = (double)(*lFirstIndivFitness)[j]; double lPow2Sum = pow2Of((double)(*lFirstIndivFitness)[j]); double lMax = (*lFirstIndivFitness)[j]; double lMin = (*lFirstIndivFitness)[j]; for(unsigned int i=1; i(ioDeme[i]->getFitness()); Beagle_AssertM(lFirstIndivFitness->size() == lIndivFitness->size()); lSum += (double)(*lIndivFitness)[j]; lPow2Sum += pow2Of((double)(*lIndivFitness)[j]); lMax = maxOf(lMax, (double)(*lIndivFitness)[j]); lMin = minOf(lMin, (double)(*lIndivFitness)[j]); } double lAverage = lSum / ioDeme.size(); double lStdError = (lPow2Sum - (pow2Of(lSum)/ioDeme.size())) / (ioDeme.size()-1); lStdError = sqrt(lStdError); outStats.push_back(Measure(string("objective")+uint2str(j), lAverage, lStdError, lMax, lMin)); } } Beagle_StackTraceEndM("void StatsCalcFitnessMultiObjOp::calculateStatsDeme(Stats& outStats, Deme& ioDeme, Context& ioContext) const"); }