/*!
* \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();
}
/*!
* \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();
}