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📄 knapsackevalop.cpp

📁 非常好的进化算法EC 实现平台 可以实现多种算法 GA GP
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/* *  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   KnapsackEvalOp.cpp *  \brief  Implementation of the class KnapsackEvalOp. *  \author Christian Gagne *  \author Marc Parizeau *  $Revision: 1.12 $ *  $Date: 2005/10/04 16:25:10 $ */#include "beagle/GA.hpp"#include "KnapsackEvalOp.hpp"#include <cmath>#define BEAGLE_KNAPSACK_NBOBJECTS 24using namespace Beagle;/*! *  \brief Construct the individual evaluation operator for the Knapsack problem. */KnapsackEvalOp::KnapsackEvalOp() :  EvaluationOp("KnapsackEvalOp"),  mSumWeight(0.0){ }/*! *  \brief Evaluate the fitness of the given individual. *  \param inIndividual Current individual to evaluate. *  \param ioContext Evolutionary context. *  \return Handle to the fitness value of the individual. */Fitness::Handle KnapsackEvalOp::evaluate(Individual& inIndividual, Context& ioContext){  Beagle_AssertM(inIndividual.size() == 1);  GA::BitString::Handle lBitString = castHandleT<GA::BitString>(inIndividual[0]);  float lValue  = 0.0;  float lWeight = 0.0;  for(unsigned int i=0; i<lBitString->size(); ++i) {    if((*lBitString)[i]) {      lValue  += (*mObjectValues)[i];      lWeight += (*mObjectWeights)[i];    }  }  FitnessMultiObj::Handle lFitness = new FitnessMultiObj(2);  (*lFitness)[0] = lValue;  (*lFitness)[1] = (mSumWeight - lWeight);  return lFitness;}/*! *  \brief Initialize knapsack evaluation operator. *  \param ioSystem Evolutionary system. */void KnapsackEvalOp::initialize(System& ioSystem){  Beagle::EvaluationOp::initialize(ioSystem);  if(ioSystem.getRegister().isRegistered("ks.object.values")) {    mObjectValues = castHandleT<Vector>(ioSystem.getRegister().getEntry("ks.object.values"));  } else {    mObjectValues = new Vector(0);    Beagle::string lLongDescrip("Values of the available objects that can be put into the knapsack. ");    lLongDescrip += "If the object values is not specified, it will be randomly generated ";    lLongDescrip += "at the initialization time.";    Register::Description lDescription(      "Knapsack object values",      "Vector",      "",      lLongDescrip    );    ioSystem.getRegister().addEntry("ks.object.values", mObjectValues, lDescription);  }  if(ioSystem.getRegister().isRegistered("ks.object.weights")) {    mObjectWeights = castHandleT<Vector>(ioSystem.getRegister().getEntry("ks.object.weights"));  } else {    mObjectWeights = new Vector(0);    Beagle::string lLongDescrip("Weights of the available objects that can be put into the knapsack. ");    lLongDescrip += "If the object weights is not specified, it will be randomly generated ";    lLongDescrip += "at the initialization time.";    Register::Description lDescription(      "Knapsack object weights",      "Vector",      "",      lLongDescrip    );    ioSystem.getRegister().addEntry("ks.object.weights", mObjectWeights, lDescription);  }  if(ioSystem.getRegister().isRegistered("ga.init.vectorsize")) {    mIntVectorSize = castHandleT<UInt>(ioSystem.getRegister()["ga.init.vectorsize"]);  } else {    mIntVectorSize = new UInt(0);    Register::Description lDescription(      "Initial integer vectors sizes",      "UInt",      "0",      "Integer vector size of initialized individuals."    );    ioSystem.getRegister().addEntry("ga.init.vectorsize", mIntVectorSize, lDescription);  }}/*! *  \brief Post-initialize knapsack evaluation operator by generating object's value/weight. *  \param ioSystem Evolutionary system. */void KnapsackEvalOp::postInit(System& ioSystem){  Beagle::EvaluationOp::postInit(ioSystem);  float lSumValue  = 0.0;  if((mObjectValues->size()==0) && (mObjectWeights->size()==0)) {    mObjectValues->resize(BEAGLE_KNAPSACK_NBOBJECTS);    mObjectWeights->resize(BEAGLE_KNAPSACK_NBOBJECTS);    mSumWeight = 0.0;    for(unsigned int i=0; i<BEAGLE_KNAPSACK_NBOBJECTS; ++i) {      lSumValue  += (*mObjectValues)[i]  = ioSystem.getRandomizer().rollUniform(1.0, 10.0);      mSumWeight += (*mObjectWeights)[i] = ioSystem.getRandomizer().rollUniform(1.0, 10.0);    }  }  else if(mObjectValues->size() != mObjectWeights->size()) {    std::ostringstream lOSS;    lOSS << "Objects value and weight of evaluation operator (registered as ";    lOSS << "'ks.objects.value' and 'ks.objects.weight' parameters) must be of the same size!";    throw Beagle_RunTimeExceptionM(lOSS.str().c_str());  }  else {    mSumWeight = 0.0;    for(unsigned int i=0; i<mObjectValues->size(); ++i) {      lSumValue  += (*mObjectValues)[i];      mSumWeight += (*mObjectWeights)[i];    }  }  mIntVectorSize->getWrappedValue() = mObjectValues->size();  Beagle_LogInfoM(    ioSystem.getLogger(),    "evaluation", "KnapsackEvalOp",    Beagle::string("Sum of possible knapsack value is ")+dbl2str(lSumValue)+    Beagle::string(", while sum of possible knapsack weight is ")+dbl2str(mSumWeight)  );  Beagle_LogInfoM(    ioSystem.getLogger(),    "evaluation", "KnapsackEvalOp",    Beagle::string("Objects value that can be put knapsack: ")+mObjectValues->serialize()  );  Beagle_LogInfoM(    ioSystem.getLogger(),    "evaluation", "KnapsackEvalOp",    Beagle::string("Objects weight that can be put knapsack: ")+mObjectWeights->serialize()  );}

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