/*!
* \brief Recombine individuals by weighted mean to generate a new individual.
* \param inIndivPool Parents being recombined.
* \param ioContext Evolutionary context.
* \return Children generated by recombination.
*/
Individual::Handle SAES::RecombinationWeightedOp::recombine(Individual::Bag& inIndivPool,
Context& ioContext)
{
Beagle_StackTraceBeginM();
// Compute recombination weights.
std::vector<double> lWeights(inIndivPool.size());
for(unsigned int i=0; i<lWeights.size(); ++i) {
lWeights[i] = std::log(double(lWeights.size()+1));
lWeights[i] -= std::log(double(i+1));
}
// Recombine parents to generate new individual.
const Factory& lFactory = ioContext.getSystem().getFactory();
Individual::Alloc::Handle lIndivAlloc =
castHandleT<Individual::Alloc>(lFactory.getConceptAllocator("Individual"));
Genotype::Alloc::Handle lGenotypeAlloc =
castHandleT<Genotype::Alloc>(lFactory.getConceptAllocator("Genotype"));
Individual::Handle lChildIndiv = castHandleT<Individual>(lIndivAlloc->allocate());
std::vector< std::vector<double> > lCountGenoSum;
for(unsigned int i=0; i<inIndivPool.size(); ++i) {
const unsigned int lPoolISize = inIndivPool[i]->size();
const unsigned int lChildSize = lChildIndiv->size();
if(lPoolISize > lChildSize) {
lCountGenoSum.resize(lPoolISize);
lChildIndiv->resize(lPoolISize);
for(unsigned int j=lChildSize; j<lPoolISize; ++j) {
(*lChildIndiv)[j] = castHandleT<Genotype>(lGenotypeAlloc->allocate());
}
}
for(unsigned int j=0; j<lPoolISize; ++j) {
SAES::PairVector::Handle lChildGenoJ = castHandleT<SAES::PairVector>((*lChildIndiv)[j]);
SAES::PairVector::Handle lPoolIGenoJ = castHandleT<SAES::PairVector>((*inIndivPool[i])[j]);
const unsigned int lPoolIGenoJSize = lPoolIGenoJ->size();
if(lPoolIGenoJSize > lChildGenoJ->size()) {
lChildGenoJ->resize(lPoolIGenoJSize,0.0);
lCountGenoSum[j].resize(lPoolIGenoJSize,0);
}
for(unsigned int k=0; k<lPoolIGenoJSize; ++k) {
(*lChildGenoJ)[k].mValue += (lWeights[i] * (*lPoolIGenoJ)[k].mValue);
(*lChildGenoJ)[k].mStrategy += (lWeights[i] * (*lPoolIGenoJ)[k].mStrategy);
lCountGenoSum[j][k] += lWeights[i];
}
}
}
for(unsigned int i=0; i<lChildIndiv->size(); ++i) {
SAES::PairVector::Handle lChildGenoI = castHandleT<SAES::PairVector>((*lChildIndiv)[i]);
for(unsigned int j=0; j<lChildGenoI->size(); ++j) {
(*lChildGenoI)[j].mValue /= lCountGenoSum[i][j];
(*lChildGenoI)[j].mStrategy /= lCountGenoSum[i][j];
}
}
Beagle_LogDebugM(ioContext.getSystem().getLogger(), *lChildIndiv);
return lChildIndiv;
Beagle_StackTraceEndM();
}
/*!
* \brief Apply the operation on a deme in the given context.
* \param ioDeme Reference to the deme on which the operation takes place.
* \param ioContext Evolutionary context of the operation.
*/
void GenerationalOp::operate(Deme& ioDeme, Context& ioContext)
{
Beagle_StackTraceBeginM();
Beagle_NonNullPointerAssertM(getRootNode());
Beagle_NonNullPointerAssertM(mElitismKeepSize);
Beagle_ValidateParameterM(mElitismKeepSize->getWrappedValue() <= ioDeme.size(),
"ec.elite.keepsize",
"The elistism keepsize must be less than the deme size!");
Beagle_LogTraceM(
ioContext.getSystem().getLogger(),
"Processing using generational replacement strategy the " <<
uint2ordinal(ioContext.getDemeIndex()+1) << " deme"
);
Beagle_LogTraceM(ioContext.getSystem().getLogger(), (*this));
RouletteT<unsigned int> lRoulette;
buildRoulette(lRoulette, ioContext);
Individual::Bag lOffsprings;
const Factory& lFactory = ioContext.getSystem().getFactory();
if(mElitismKeepSize->getWrappedValue() > 0) {
History::Handle lHistory = castHandleT<History>(ioContext.getSystem().haveComponent("History"));
std::make_heap(ioDeme.begin(), ioDeme.end(), IsLessPointerPredicate());
for(unsigned int i=0; i<mElitismKeepSize->getWrappedValue(); ++i) {
std::string lIndividualType = ioDeme[0]->getType();
Individual::Alloc::Handle lIndividualAlloc =
castHandleT<Individual::Alloc>(lFactory.getAllocator(lIndividualType));
Individual::Handle lEliteIndiv = castHandleT<Individual>(lIndividualAlloc->allocate());
lEliteIndiv->copy(*ioDeme[0], ioContext.getSystem());
lOffsprings.push_back(lEliteIndiv);
if(lHistory != NULL) {
HistoryID::Handle lHID = castHandleT<HistoryID>(ioDeme[0]->getMember("HistoryID"));
std::vector<HistoryID> lParent;
if(lHID != NULL) lParent.push_back(*lHID);
lHistory->allocateNewID(*lEliteIndiv);
lHistory->trace(ioContext, lParent, lEliteIndiv, getName(), "elitism");
}
std::pop_heap(ioDeme.begin(), (ioDeme.end()-i), IsLessPointerPredicate());
}
}
for(unsigned int i=mElitismKeepSize->getWrappedValue(); i<ioDeme.size(); ++i) {
unsigned int lIndexBreeder = lRoulette.select(ioContext.getSystem().getRandomizer());
BreederNode::Handle lSelectedBreeder=getRootNode();
for(unsigned int j=0; j<lIndexBreeder; ++j)
lSelectedBreeder=lSelectedBreeder->getNextSibling();
Beagle_NonNullPointerAssertM(lSelectedBreeder);
Beagle_NonNullPointerAssertM(lSelectedBreeder->getBreederOp());
Individual::Handle lBredIndiv =
lSelectedBreeder->getBreederOp()->breed(ioDeme, lSelectedBreeder->getFirstChild(), ioContext);
Beagle_NonNullPointerAssertM(lBredIndiv);
lOffsprings.push_back(lBredIndiv);
}
for(unsigned int j=0; j<lOffsprings.size(); ++j) ioDeme[j] = lOffsprings[j];
Beagle_StackTraceEndM();
}
void LogIndividualDataOp::operate(Deme& ioDeme, Context& ioContext) {
Beagle_StackTraceBeginM();
if(mNumberIndividualPerDem->getWrappedValue() <= 0) {
return;
}
// Temporary buffer of individuals.
Individual::Bag lTempPop;
if(ioContext.getGeneration() != mGenerationCalculated) {
mGenerationCalculated = ioContext.getGeneration();
mNbDemesCalculated = 0;
}
if(++mNbDemesCalculated == mPopSize->size() && mOnlyVivarium->getWrappedValue()) {
//Make heap of all individual in the vivarium
for( unsigned int i = 0; i < ioContext.getVivarium().size(); ++i) {
lTempPop.insert(lTempPop.end(), ioContext.getVivarium()[i]->begin(), ioContext.getVivarium()[i]->end());
}
} else if(mOnlyVivarium->getWrappedValue()){
return;
} else {
//Process only this deme
// Insert pointer of all the individuals of the deme in the buffer.
lTempPop.insert(lTempPop.end(), ioDeme.begin(), ioDeme.end());
}
// Make the buffer a STL heap with the fittest individual on the top.
std::make_heap(lTempPop.begin(), lTempPop.end(), IsLessPointerPredicate());
for(unsigned int i = 0; i < mNumberIndividualPerDem->getWrappedValue(); ++i) {
Individual::Handle lIndividual = NULL;
if( !mKeepData->getWrappedValue() ) {
//Strip the simulation data of the individual
lIndividual = castHandleT<Individual>(ioDeme.getTypeAlloc()->cloneData(*lTempPop[0]));
LogFitness::Handle lFitness = castHandleT<LogFitness>(lIndividual->getFitness());
lFitness->clearData();
} else {
lIndividual = lTempPop[0];
}
Beagle_LogObjectM(
ioContext.getSystem().getLogger(),
Logger::eStats,
"history", "Beagle::LogIndividualDataOp",
*lIndividual
);
// STL heap pop of the best individual of the temporary buffer.
std::pop_heap(lTempPop.begin(), lTempPop.end(), IsLessPointerPredicate());
lTempPop.pop_back();
}
Beagle_StackTraceEndM("void LogIndividualDataOp::operate(Deme& ioDeme, Context& ioContext)");
}
int main (int argc, char** argv) {
try {
// 1. Build the system.
System::Handle lSystem = new System;
// 2. Build evaluation operator.
DCDCBoost2xGAEvalOp::Handle lEvalOp = new DCDCBoost2xGAEvalOp;
// 3. Instanciate the evolver.
unsigned int lNbBits = (unsigned int)(NBSTATE*NBINPUTSYBMOLE + 1)*NBSWITCH;
#ifdef USE_MPI
MPI::GA::EvolverBitString::Handle lEvolver = new MPI::GA::EvolverBitString(lEvalOp,lNbBits);
#else
GA::EvolverBitString::Handle lEvolver = new GA::EvolverBitString(lEvalOp,lNbBits);
#endif
// 4. Initialize the vivarium
GA::BitString::Alloc::Handle lBSAlloc = new GA::BitString::Alloc;
LogFitness::Alloc::Handle lFitAlloc = new LogFitness::Alloc;
Vivarium::Handle lVivarium = new Vivarium(lBSAlloc, lFitAlloc);
// 5. Initialize the evolver and evolve the vivarium.
lEvolver->initialize(lSystem, argc, argv);
//////////////////////
//Read individual from file
ostringstream lFilename;
lFilename << "individual-ga-test.xml";
Individual::Handle lIndividual = new Individual(lBSAlloc);
lIndividual->readFromFile(lFilename.str(), *lSystem);
Beagle::Context::Handle lContext = castHandleT<Beagle::Context>(lSystem->getContextAllocator().allocate());
lContext->setSystemHandle(lSystem);
lContext->setIndividualHandle(lIndividual);
lContext->setIndividualIndex(0);
LogFitness::Handle lFitness = castHandleT<LogFitness>(lEvalOp->evaluate(*lIndividual,*lContext));
cout << "\nResulting fitness: " << lFitness->getValue() << endl;
ofstream lFitnessStream("fitness.xml");
lFitnessStream << lFitness->serialize() << endl;
return 0;
/////////////////////
lEvolver->evolve(lVivarium);
}
catch(Exception& inException) {
inException.terminate(cerr);
}
catch(std::exception& inException) {
cerr << "Standard exception catched:" << endl << flush;
cerr << inException.what() << endl << flush;
return 1;
}
return 0;
}
/*!
* \brief Apply the fitness invalidation operation on a breeding pool, returning a bred individual.
* \param inBreedingPool Breeding pool to use for the breeding operation.
* \param inChild Node handle associated to child node in the breeder tree.
* \param ioContext Evolutionary context of the breeding operation.
* \return Invalidated bred individual.
*/
Individual::Handle InvalidateFitnessOp::breed(Individual::Bag& inBreedingPool,
BreederNode::Handle inChild,
Context& ioContext)
{
Beagle_StackTraceBeginM();
Beagle_NonNullPointerAssertM(inChild);
Beagle_NonNullPointerAssertM(inChild->getBreederOp());
Individual::Handle lBredIndividual =
inChild->getBreederOp()->breed(inBreedingPool, inChild->getFirstChild(), ioContext);
if((lBredIndividual->getFitness()!=NULL) && (lBredIndividual->getFitness()->isValid())) {
Beagle_LogDebugM(
ioContext.getSystem().getLogger(),
"Invalidating the fitness of the following bred individual"
);
Beagle_LogDebugM(ioContext.getSystem().getLogger(), *lBredIndividual);
lBredIndividual->getFitness()->setInvalid();
}
return lBredIndividual;
Beagle_StackTraceEndM();
}
/*!
* \brief Apply the breeding operation on a breeding pool, returning a bred individual.
* \param inBreedingPool
* \param inChild
* \param ioContext Evolutionary context of the breeding operation.
* \return Bred individual.
*/
Individual::Handle InitializationOp::breed(Individual::Bag& inBreedingPool,
BreederNode::Handle inChild,
Context& ioContext)
{
Beagle_StackTraceBeginM();
const Factory& lFactory = ioContext.getSystem().getFactory();
Individual::Alloc::Handle lIndivAlloc =
castHandleT<Individual::Alloc>(lFactory.getConceptAllocator("Individual"));
Individual::Handle lNewIndiv = castHandleT<Individual>(lIndivAlloc->allocate());
initIndividual(*lNewIndiv, ioContext);
if(lNewIndiv->getFitness() != NULL) lNewIndiv->getFitness()->setInvalid();
History::Handle lHistory = castHandleT<History>(ioContext.getSystem().haveComponent("History"));
if(lHistory != NULL) {
lHistory->incrementHistoryVar(*lNewIndiv);
lHistory->trace(ioContext, std::vector<HistoryID>(), lNewIndiv, getName(), "initialization");
}
ioContext.setIndividualHandle(lNewIndiv);
return lNewIndiv;
Beagle_StackTraceEndM();
}
/*!
* \brief Read individuals of a bag.
* \param inIter XML iterator to read the individuals from.
* \param ioContext Evolutionary context.
*/
void IndividualBag::readIndividuals(PACC::XML::ConstIterator inIter, Context& ioContext)
{
Beagle_StackTraceBeginM();
clear();
Individual::Handle lPrevIndivHandle = ioContext.getIndividualHandle();
unsigned int lPrevIndivIndex = ioContext.getIndividualIndex();
for(PACC::XML::ConstIterator lIter=inIter; lIter; ++lIter) {
if(lIter->getType() != PACC::XML::eData) continue;
if(lIter->getValue() == "NullHandle") {
push_back(NULL);
continue;
} else if(lIter->getValue() != "Individual") continue;
Individual::Alloc::Handle lIndivAlloc = NULL;
std::string lIndivTypeName = lIter->getAttribute("type");
const Factory& lFactory = ioContext.getSystem().getFactory();
if(lIndivTypeName.empty()) {
lIndivAlloc =
castHandleT<Individual::Alloc>(lFactory.getConceptAllocator("Individual"));
} else {
lIndivAlloc =
castHandleT<Individual::Alloc>(lFactory.getAllocator(lIndivTypeName));
}
Individual::Handle lReadIndiv = castHandleT<Individual>(lIndivAlloc->allocate());
const unsigned int lBackIndex = size();
push_back(lReadIndiv);
ioContext.setIndividualHandle(lReadIndiv);
ioContext.setIndividualIndex(lBackIndex);
lReadIndiv->readWithContext(lIter, ioContext);
}
ioContext.setIndividualIndex(lPrevIndivIndex);
ioContext.setIndividualHandle(lPrevIndivHandle);
Beagle_StackTraceEndM();
}
/*!
* \brief Test the fitness of a given individual.
* \param inIndividual Handle to the individual to test.
* \param ioSystem Handle to the system to use to test the individual.
* \par Note:
* This method is provided as a mean to test some individuals after an evolution.
*/
Fitness::Handle Beagle::MPI::EvaluationOp::test(Individual::Handle inIndividual, System::Handle ioSystem)
{
Beagle_LogInfoM(
ioSystem->getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
std::string("Testing the following individual: ")+inIndividual->serialize()
);
Context::Alloc::Handle lContextAlloc =
castHandleT<Context::Alloc>(ioSystem->getContextAllocatorHandle());
Context::Handle lContext = castHandleT<Context>(lContextAlloc->allocate());
lContext->setSystemHandle(ioSystem);
lContext->setIndividualHandle(inIndividual);
Fitness::Handle lFitness = evaluate(*inIndividual, *lContext);
Beagle_LogInfoM(
ioSystem->getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
std::string("New fitness of the individual: ")+lFitness->serialize()
);
return lFitness;
}
/*!
* \brief Generate children from the breeder tree.
* \param ioDeme Deme to generate children from.
* \param ioContext Evolutionary context.
* \param lNbChildren Number of children to generate.
* \param inN Dimensionality of the problem.
* \param ioCMAValues CMA values to use to generate new individual.
* \param inSelectionWeights Selection weights used to generate children.
*/
void CMA::MuWCommaLambdaCMAFltVecOp::generateChildren(Deme& ioDeme,
Context& ioContext,
unsigned int inNbChildren,
unsigned int inN,
CMAValues& ioCMAValues,
const Vector& inSelectionWeights) const
{
Beagle_StackTraceBeginM();
// Check parameters and log some information
Beagle_NonNullPointerAssertM(mElitismKeepSize);
Beagle_ValidateParameterM(mLMRatio->getWrappedValue() >= 1.0,
mLMRatioName,
"The LM ratio must be higher or equal to 1.0.");
Beagle_ValidateParameterM(mElitismKeepSize->getWrappedValue() <= ioDeme.size(),
"ec.elite.keepsize",
"The elistism keepsize must be less than the deme size!");
Beagle_LogTraceM(
ioContext.getSystem().getLogger(),
std::string("Using CMA-ES (mu_w,lambda) replacement strategy to process the ")+
uint2ordinal(ioContext.getDemeIndex()+1)+" deme"
);
Beagle_LogTraceM(ioContext.getSystem().getLogger(), (*this));
const Factory& lFactory = ioContext.getSystem().getFactory();
// Create weighted mean individual.
std::sort(ioDeme.begin(), ioDeme.end(), IsMorePointerPredicate());
Individual::Alloc::Handle lIndividualAlloc =
castHandleT<Individual::Alloc>(lFactory.getConceptAllocator("Individual"));
Individual::Handle lMeanInd = castHandleT<Individual>(lIndividualAlloc->allocate());
Genotype::Alloc::Handle lGenotypeAlloc =
castHandleT<Genotype::Alloc>(lFactory.getConceptAllocator("Genotype"));
FltVec::FloatVector::Handle lMeanFloatVec =
castHandleT<FltVec::FloatVector>(lGenotypeAlloc->allocate());
lMeanFloatVec->resize(inN);
lMeanInd->push_back(lMeanFloatVec);
for(unsigned int i=0; i<inN; ++i) (*lMeanFloatVec)[i] = 0.0;
if(ioDeme.size()==1) {
Beagle_AssertM(ioDeme[0]->size() == 1);
FltVec::FloatVector::Handle lInd = castHandleT<FltVec::FloatVector>((*ioDeme[0])[0]);
(*lMeanFloatVec) = *lInd;
} else {
for(unsigned int i=0; i<ioDeme.size(); ++i) {
Beagle_AssertM(ioDeme[i]->size()==1);
FltVec::FloatVector::Handle lVecI = castHandleT<FltVec::FloatVector>((*ioDeme[i])[0]);
Beagle_AssertM(lVecI->size()==inN);
for(unsigned int j=0; j<inN; ++j) (*lMeanFloatVec)[j] += (inSelectionWeights[i] * (*lVecI)[j]);
}
}
ioCMAValues.mXmean.resize(inN);
for(unsigned int i=0; i<inN; ++i) ioCMAValues.mXmean[i] = (*lMeanFloatVec)[i];
// Generate lambda children with breeder tree, first build breeder roulette
RouletteT<unsigned int> lRoulette;
buildRoulette(lRoulette, ioContext);
// Keep best individuals if elitism is used
const unsigned int lElitismKS=mElitismKeepSize->getWrappedValue();
if(lElitismKS > 0) {
Individual::Bag lBestInd;
History::Handle lHistory = castHandleT<History>(ioContext.getSystem().haveComponent("History"));
std::make_heap(ioDeme.begin(), ioDeme.end(), IsLessPointerPredicate());
for(unsigned int i=0; i<lElitismKS; ++i) {
if(lHistory != NULL) {
HistoryID::Handle lHID = castHandleT<HistoryID>(ioDeme[0]->getMember("HistoryID"));
std::vector<HistoryID> lParent;
if(lHID != NULL) lParent.push_back(*lHID);
lHistory->allocateNewID(*ioDeme[0]);
lHistory->trace(ioContext, lParent, ioDeme[0], getName(), "elitism");
}
lBestInd.push_back(ioDeme[0]);
std::pop_heap(ioDeme.begin(), ioDeme.end(), IsLessPointerPredicate());
ioDeme.pop_back();
}
ioDeme.clear();
ioDeme.insert(ioDeme.end(), lBestInd.begin(), lBestInd.end());
} else ioDeme.clear();
// Generate the children
Individual::Bag lBagWithMeanInd;
lBagWithMeanInd.push_back(lMeanInd);
for(unsigned int i=0; i<inNbChildren; ++i) {
unsigned int lIndexBreeder = lRoulette.select(ioContext.getSystem().getRandomizer());
BreederNode::Handle lSelectedBreeder=getRootNode();
for(unsigned int j=0; j<lIndexBreeder; ++j)
lSelectedBreeder=lSelectedBreeder->getNextSibling();
Beagle_NonNullPointerAssertM(lSelectedBreeder);
Beagle_NonNullPointerAssertM(lSelectedBreeder->getBreederOp());
Individual::Handle lBredIndiv =
lSelectedBreeder->getBreederOp()->breed(lBagWithMeanInd,
lSelectedBreeder->getFirstChild(),
ioContext);
Beagle_NonNullPointerAssertM(lBredIndiv);
ioDeme.push_back(lBredIndiv);
}
Beagle_StackTraceEndM();
}
/*!
* \brief Recombine individuals by averaging to generate a new individual.
* \param inIndivPool Parents being recombined.
* \param ioContext Evolutionary context.
* \return Children generated by recombination.
*/
Individual::Handle Beagle::GA::RecombinationESVecOp::recombine(Individual::Bag& inIndivPool,
Context& ioContext)
{
Beagle_StackTraceBeginM();
// Recombine parents to generate new individual.
const Factory& lFactory = ioContext.getSystem().getFactory();
Individual::Alloc::Handle lIndivAlloc =
castHandleT<Individual::Alloc>(lFactory.getConceptAllocator("Individual"));
Genotype::Alloc::Handle lGenotypeAlloc =
castHandleT<Genotype::Alloc>(lFactory.getConceptAllocator("Genotype"));
Individual::Handle lChildIndiv = castHandleT<Individual>(lIndivAlloc->allocate());
std::vector< std::vector<unsigned int> > lCountGenoSum;
for(unsigned int i=0; i<inIndivPool.size(); ++i) {
const unsigned int lPoolISize = inIndivPool[i]->size();
const unsigned int lChildSize = lChildIndiv->size();
if(lPoolISize > lChildSize) {
lCountGenoSum.resize(lPoolISize);
lChildIndiv->resize(lPoolISize);
for(unsigned int j=lChildSize; j<lPoolISize; ++j) {
(*lChildIndiv)[j] = castHandleT<Genotype>(lGenotypeAlloc->allocate());
}
}
for(unsigned int j=0; j<lPoolISize; ++j) {
GA::ESVector::Handle lChildGenoJ = castHandleT<GA::ESVector>((*lChildIndiv)[j]);
GA::ESVector::Handle lPoolIGenoJ = castHandleT<GA::ESVector>((*inIndivPool[i])[j]);
const unsigned int lPoolIGenoJSize = lPoolIGenoJ->size();
if(lPoolIGenoJSize > lChildGenoJ->size()) {
lChildGenoJ->resize(lPoolIGenoJSize,0.0);
lCountGenoSum[j].resize(lPoolIGenoJSize,0);
}
for(unsigned int k=0; k<lPoolIGenoJSize; ++k) {
(*lChildGenoJ)[k].mValue += (*lPoolIGenoJ)[k].mValue;
(*lChildGenoJ)[k].mStrategy += (*lPoolIGenoJ)[k].mStrategy;
++lCountGenoSum[j][k];
}
}
}
for(unsigned int i=0; i<lChildIndiv->size(); ++i) {
GA::ESVector::Handle lChildGenoI = castHandleT<GA::ESVector>((*lChildIndiv)[i]);
for(unsigned int j=0; j<lChildGenoI->size(); ++j) {
(*lChildGenoI)[j].mValue /= double(lCountGenoSum[i][j]);
(*lChildGenoI)[j].mStrategy /= double(lCountGenoSum[i][j]);
}
}
Beagle_LogDebugM(
ioContext.getSystem().getLogger(),
"crossover", "Beagle::GA::RecombinationESVecOp",
"Individual generated by recombination"
);
Beagle_LogObjectDebugM(
ioContext.getSystem().getLogger(),
"crossover", "Beagle::GA::RecombinationESVecOp",
*lChildIndiv
);
return lChildIndiv;
Beagle_StackTraceEndM("Individual::Handle Beagle::GA::RecombinationESVecOp::recombine(Individual::Bag& inIndivPool,Context& ioContext)");
}
/*!
* \brief Apply the adaptation operation on a breeding pool.
* \param inBreedingPool Breeding pool to give to the underlying breeding tree.
* \param inChild Node handle associated to child node in the breeder tree.
* \param ioContext Evolutionary context of the mutation operation.
* \return Mutated individual.
*/
Individual::Handle ES::AdaptOneFifthRuleOp::breed(Individual::Bag& inBreedingPool,
BreederNode::Handle inChild,
Context& ioContext)
{
Beagle_StackTraceBeginM();
Beagle_NonNullPointerAssertM(inChild);
Beagle_NonNullPointerAssertM(inChild->getBreederOp());
Individual::Handle lIndiv =
inChild->getBreederOp()->breed(inBreedingPool, inChild->getFirstChild(), ioContext);
// Look whether the mutation is successful.
Fitness::Handle lFitParent = inBreedingPool[ioContext.getIndividualIndex()]->getFitness();
Fitness::Handle lFitChild = lIndiv->getFitness();
if(lFitChild != NULL) {
// Check whether the mutation is successful or not.
const bool lSuccessful = (*lFitChild) > (*lFitParent);
if(lSuccessful) {
++mSuccessCount->getWrappedValue();
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
"Successful mutation"
);
} else {
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
"The mutation is not successful"
);
}
++mMutationsCount->getWrappedValue();
// Adapt the sigma if the necessary number of observed mutations is reached.
if(lSuccessful && (mMutationsCount->getWrappedValue()>=mAdaptationPeriod->getWrappedValue())) {
const double lSuccessRate = double(mSuccessCount->getWrappedValue()) /
double(mMutationsCount->getWrappedValue());
if(lSuccessRate > 0.2) {
for(unsigned int i=0; i<mMutateGaussSigma->size(); ++i) {
(*mMutateGaussSigma)[i] /= mSigmaAdaptFactor->getWrappedValue();
}
Beagle_LogDetailedM(
ioContext.getSystem().getLogger(),
string("Increasing the sigma value by a factor ")+
dbl2str(1./mSigmaAdaptFactor->getWrappedValue())
);
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
string("Sigma value after the increase: ")+mMutateGaussSigma->serialize()
);
} else if(lSuccessRate < 0.2) {
for(unsigned int i=0; i<mMutateGaussSigma->size(); ++i) {
(*mMutateGaussSigma)[i] *= mSigmaAdaptFactor->getWrappedValue();
}
Beagle_LogDetailedM(
ioContext.getSystem().getLogger(),
string("Reducing the sigma value by a factor ")+
dbl2str(mSigmaAdaptFactor->getWrappedValue())
);
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
string("Sigma value after the reduction: ")+mMutateGaussSigma->serialize()
);
} else {
Beagle_LogDetailedM(
ioContext.getSystem().getLogger(),
"Sigma value unchanged"
);
}
}
}
return lIndiv;
Beagle_StackTraceEndM();
}
/*!
* \brief Apply the recombination operation on a breeding pool, returning a recombined individual.
* \param inBreedingPool Breeding pool to use for the recombination operation.
* \param inChild Node handle associated to child node in the breeder tree.
* \param ioContext Evolutionary context of the recombination operation.
* \return Recombined individual.
*/
Individual::Handle RecombinationOp::breed(Individual::Bag& inBreedingPool,
BreederNode::Handle inChild,
Context& ioContext)
{
Beagle_StackTraceBeginM();
// Generate parents for recombination.
Individual::Bag::Handle lParents = new Individual::Bag;
if(inChild == NULL) {
const unsigned int lNbGenerated =
(mNumberRecomb->getWrappedValue()==0) ? inBreedingPool.size() :
minOf<unsigned int>(inBreedingPool.size(), mNumberRecomb->getWrappedValue());
if(lNbGenerated == inBreedingPool.size()) (*lParents) = inBreedingPool;
else {
std::vector<unsigned int> lIndices(inBreedingPool.size());
for(unsigned int i=0; i<lIndices.size(); ++i) lIndices[i] = i;
std::random_shuffle(lIndices.begin(), lIndices.end(),
ioContext.getSystem().getRandomizer());
for(unsigned int i=0; i<lNbGenerated; ++i) {
lParents->push_back(inBreedingPool[lIndices[i]]);
}
}
} else {
Beagle_NonNullPointerAssertM(inChild->getBreederOp());
const unsigned int lNbGenerated =
(mNumberRecomb->getWrappedValue()==0) ? inBreedingPool.size() :
minOf<unsigned int>(inBreedingPool.size(), mNumberRecomb->getWrappedValue());
for(unsigned int i=0; i<lNbGenerated; ++i) {
Individual::Handle lIndiv = inChild->getBreederOp()->breed(inBreedingPool,
inChild->getFirstChild(),
ioContext);
lParents->push_back(lIndiv);
}
}
// Log parents selected for recombination.
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
std::string("Recombining ")+uint2str(lParents->size())+std::string(" individuals together")
);
// Do recombination operation on parent and get the resulting child.
Individual::Handle lChildIndiv = recombine(*lParents, ioContext);
if(lChildIndiv->getFitness() != NULL) {
lChildIndiv->getFitness()->setInvalid();
}
// Log information to history, if it is used.
History::Handle lHistory = castHandleT<History>(ioContext.getSystem().haveComponent("History"));
if(lHistory != NULL) {
std::vector<HistoryID> lParentNames;
for(unsigned int i=0; i<lParents->size(); ++i) {
HistoryID::Handle lHID = castHandleT<HistoryID>(lParents->at(i)->getMember("HistoryID"));
if(lHID != NULL) lParentNames.push_back(*lHID);
}
lHistory->incrementHistoryVar(*lChildIndiv);
lHistory->trace(ioContext, lParentNames, lChildIndiv, getName(), "recombination");
}
return lChildIndiv;
Beagle_StackTraceEndM();
}
/*!
* \brief Apply NPGA2 multiobjective selection operator.
* \param ioDeme Deme on which selection operator is applied.
* \param ioContext Evolutionary context.
*/
void NPGA2Op::operate(Deme& ioDeme, Context& ioContext)
{
Beagle_StackTraceBeginM();
if(ioDeme.size() == 0) return;
Beagle_LogTraceM(
ioContext.getSystem().getLogger(),
std::string("Applying NPGA2 multiobjective selection on the ")+
uint2ordinal(ioContext.getDemeIndex()+1)+" deme"
);
std::vector<bool> lAlreadySelectedIndiv(ioDeme.size(), false);
Individual::Bag lSelectedIndividual;
const Factory& lFactory = ioContext.getSystem().getFactory();
// Generate new generation by selection
for(unsigned int i=0; i<ioDeme.size(); ++i) {
// First participant
unsigned int lFirstParticipant =
ioContext.getSystem().getRandomizer().rollInteger(0, ioDeme.size()-1);
std::vector<unsigned int> lNDParticipants(1, lFirstParticipant);
// Following participants to tournament
for(unsigned int j=1; j<mNumberParticipants->getWrappedValue(); ++j) {
unsigned int lParticipant =
ioContext.getSystem().getRandomizer().rollInteger(0, ioDeme.size()-1);
// Test if participant is dominated or dominate other participants
bool lIsDominated = false;
Fitness::Handle lPartFitness = ioDeme[lParticipant]->getFitness();
for(unsigned int k=0; k<lNDParticipants.size(); ++k) {
Fitness::Handle lFitnessNDk = ioDeme[lNDParticipants[k]]->getFitness();
if(lPartFitness->isDominated(*lFitnessNDk)) {
lIsDominated = true;
} else if(lFitnessNDk->isDominated(*lPartFitness)) {
lNDParticipants.erase(lNDParticipants.begin()+k);
}
}
if(lIsDominated==false) lNDParticipants.push_back(lParticipant);
}
// Test if there is a tie. If so evaluate niche count.
Beagle_AssertM(lNDParticipants.size() != 0);
unsigned int lWinner = lNDParticipants[0];
if(lNDParticipants.size() > 1) {
float lLowestNicheCount = evalNicheCount(*ioDeme[lNDParticipants[0]], lSelectedIndividual);
for(unsigned int j=1; j<lNDParticipants.size(); ++j) {
float lNicheCount = evalNicheCount(*ioDeme[lNDParticipants[j]], lSelectedIndividual);
if(lNicheCount < lLowestNicheCount) {
lLowestNicheCount = lNicheCount;
lWinner = lNDParticipants[j];
}
}
}
// Put winner in selected individual bag
if(lAlreadySelectedIndiv[lWinner]) {
std::string lIndividualType = ioDeme[lWinner]->getType();
Individual::Alloc::Handle lIndividualAlloc =
castHandleT<Individual::Alloc>(lFactory.getAllocator(lIndividualType));
Individual::Handle lIndividual = castHandleT<Individual>(lIndividualAlloc->allocate());
lIndividual->copy(*ioDeme[lWinner], ioContext.getSystem());
lSelectedIndividual.push_back(lIndividual);
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
uint2ordinal(lWinner+1)+" individual selected again in NPGA2 selection process"
);
} else {
lSelectedIndividual.push_back(ioDeme[lWinner]);
lAlreadySelectedIndiv[lWinner] = true;
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
uint2ordinal(lWinner+1)+" individual selected in NPGA2 selection process"
);
}
}
// Copy selected individuals into deme
for(unsigned int j=0; j<ioDeme.size(); ++j) ioDeme[j] = lSelectedIndividual[j];
Beagle_StackTraceEndM();
}
/*!
* \brief Apply the evaluation operation on a breeding pool, returning a evaluated bred individual.
* \param inBreedingPool Breeding pool to use for the breeding operation.
* \param inChild Node handle associated to child node in the breeder tree.
* \param ioContext Evolutionary context of the breeding operation.
* \return Evaluated bred individual.
*/
Individual::Handle Beagle::MPI::EvaluationOp::breed(Individual::Bag& inBreedingPool,
BreederNode::Handle inChild,
Context& ioContext)
{
Beagle_NonNullPointerAssertM(inChild);
Deme& lDeme = *ioContext.getDemeHandle();
if(lDeme.getStats()->isValid()) {
ioContext.setProcessedDeme(0);
if((ioContext.getGeneration()!=0) && (lDeme.getStats()->existItem("total-processed"))) {
ioContext.setTotalProcessedDeme((unsigned int)lDeme.getStats()->getItem("total-processed"));
}
else ioContext.setTotalProcessedDeme(0);
lDeme.getStats()->setInvalid();
if(ioContext.getDemeIndex()==0) {
Stats& lVivaStats = *ioContext.getVivarium().getStats();
ioContext.setProcessedVivarium(0);
if((ioContext.getGeneration()!=0) && (lVivaStats.existItem("total-processed"))) {
ioContext.setTotalProcessedVivarium((unsigned int)lVivaStats.getItem("total-processed"));
}
else ioContext.setTotalProcessedVivarium(0);
lVivaStats.setInvalid();
}
}
Beagle_NonNullPointerAssertM(inChild);
Beagle_NonNullPointerAssertM(inChild->getBreederOp());
Individual::Handle lBredIndividual =
inChild->getBreederOp()->breed(inBreedingPool, inChild->getFirstChild(), ioContext);
if((lBredIndividual->getFitness()==NULL) || (lBredIndividual->getFitness()->isValid()==false)) {
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
"Evaluating the fitness of a new bred individual"
);
individualEvaluation(*lBredIndividual, ioContext);
// lBredIndividual->setFitness(evaluate(*lBredIndividual, ioContext));
// lBredIndividual->getFitness()->setValid();
ioContext.setProcessedDeme(ioContext.getProcessedDeme()+1);
ioContext.setTotalProcessedDeme(ioContext.getTotalProcessedDeme()+1);
ioContext.setProcessedVivarium(ioContext.getProcessedVivarium()+1);
ioContext.setTotalProcessedVivarium(ioContext.getTotalProcessedVivarium()+1);
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
std::string("The individual fitness value is: ")+
lBredIndividual->getFitness()->serialize()
);
if(mDemeHOFSize->getWrappedValue() > 0) {
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
"Updating the deme hall-of-fame"
);
lDeme.getHallOfFame().updateWithIndividual(mDemeHOFSize->getWrappedValue(),
*lBredIndividual, ioContext);
}
if(mVivaHOFSize->getWrappedValue() > 0) {
Beagle_LogVerboseM(
ioContext.getSystem().getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
"Updating the vivarium hall-of-fame"
);
ioContext.getVivarium().getHallOfFame().updateWithIndividual(mVivaHOFSize->getWrappedValue(),
*lBredIndividual, ioContext);
}
}
return lBredIndividual;
}
void Beagle::MPI::EvaluationOp::evaluatorOperate(Deme& ioDeme, Context& ioContext) {
try {
//char lMessage[4096];
int lMessageSize;
MPI_Status lStatus;
int lSource;
bool lDone = false;
while(!lDone) {
//Receive an individual to evaluate
MPI_Recv(&lMessageSize, 1, MPI_INT, MPI_ANY_SOURCE, MPI_ANY_TAG, MPI_COMM_WORLD, &lStatus);
lSource = lStatus.MPI_SOURCE;
if(lStatus.MPI_TAG == eEvolutionEnd) {
Beagle_LogDetailedM(
ioContext.getSystem().getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
std::string("End of evolution received from process ") + int2str(lSource)
);
lDone = true;
} else {
char *lMessage = new char[lMessageSize];
unsigned int lGeneration;
MPI_Recv(lMessage, lMessageSize, MPI_CHAR, lSource, MPI_ANY_TAG, MPI_COMM_WORLD, &lStatus);
MPI_Recv(&lGeneration, 1, MPI_INT, lSource, MPI_ANY_TAG, MPI_COMM_WORLD, &lStatus);
ioContext.setGeneration(lGeneration);
Beagle_LogTraceM(
ioContext.getSystem().getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
std::string("Evaluating individual send from process ") + int2str(lSource)
);
//Parse the received individual
std::istringstream lStreamIn(lMessage);
PACC::XML::Document lXMLParser;
lXMLParser.parse(lStreamIn);
PACC::XML::ConstIterator lIndividualRootNode = lXMLParser.getFirstRoot();
//Read the received individual
ioContext.getDeme().resize(0);
Individual::Handle lIndividual = castHandleT<Individual>(ioContext.getDeme().getTypeAlloc()->allocate());
lIndividual->readWithContext(lIndividualRootNode,ioContext);
ioContext.setIndividualHandle(lIndividual);
ioContext.setIndividualIndex(0);
// Beagle_LogDebugM(
// ioContext.getSystem().getLogger(),
// "evaluation", "Beagle::MPIEvaluationOp",
// std::string("Individual received: ") + lIndividual->serialize()
// );
//Free message string
delete [] lMessage;
//Evaluated the fitness of the received individual
Fitness::Handle lFitness = evaluate(*lIndividual, ioContext);
//Send back the fitness
std::ostringstream lStreamOut;
PACC::XML::Streamer lXMLStream(lStreamOut);
lFitness->write(lXMLStream);
//std::cout << "Sending fitness of size " << lStreamOut.str().size()+1 << ":" << std::endl << lStreamOut.str() << std::endl;
lMessageSize = lStreamOut.str().size()+1;
Beagle_LogTraceM(
ioContext.getSystem().getLogger(),
"evaluation", "Beagle::MPIEvaluationOp",
std::string("Sending back fitness")
);
MPI_Send(&lMessageSize, 1, MPI_INT, lSource, eMessageSize, MPI_COMM_WORLD);
MPI_Send(const_cast<char*>(lStreamOut.str().data()), lMessageSize, MPI_CHAR, lSource, eFitness, MPI_COMM_WORLD);
}
}
} catch(Exception& inException) {
std::cerr << "Exception catched in evaluator:" << std::endl << std::flush;
std::cerr << inException.what() << std::endl << std::flush;
exit(1);
}
catch(std::exception& inException) {
std::cerr << "Standard exception catched in evaluator:" << std::endl << std::flush;
std::cerr << inException.what() << std::endl << std::flush;
exit(1);
}
}
