Пример #1
0
/*!
 *  \brief Randomly select a node that takes arguments from a specific
 *    tree in the individual.
 *  \return Randomly selected tree
 */
unsigned int GP::Individual::chooseRandomNodeWithArgs(unsigned int inTree,
        GP::Context& ioContext) const
{
	Beagle_StackTraceBeginM();
	const GP::Tree& lTree = *(operator[](inTree));
	unsigned int lSize = lTree.size();
	if (lSize < 2) {
		std::ostringstream lOSS;
		lOSS << "In GP::Individual::chooseRandomNodeWithArgs(): ";
		lOSS << "Could not choose a node with arguments because the specified tree has fewer ";
		lOSS << "than two (" << lSize << ") nodes, hence there are no such nodes";
		lOSS << " in the tree. This occurred while calling chooseRandomNodeWithArgs() with an ";
		lOSS << "inTree value of " << inTree;
		throw Beagle_RunTimeExceptionM(lOSS.str());
	}

	// Loop through the tree adding appropriate nodes into the roulette
	RouletteT<unsigned int> lRoulette;
	for (unsigned int i=0; i<lSize; i++) {
		if(lTree[i].mSubTreeSize > 1) lRoulette.insert(i);
	}

	// Select node with roulette
	Beagle_AssertM(!lRoulette.empty());
	return lRoulette.select(ioContext.getSystem().getRandomizer());
	Beagle_StackTraceEndM();
}
Пример #2
0
/*!
 *  \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();
}
Пример #3
0
/*!
 *  \brief Randomly select a node that takes no argument from a specific
 *    tree in the individual.
 *  \return Randomly selected tree
 */
unsigned int GP::Individual::chooseRandomNodeWithoutArgs(unsigned int inTree,
        GP::Context& ioContext) const
{
	Beagle_StackTraceBeginM();
	// Loop through the tree adding appropriate nodes into the roulette
	unsigned int lSize = operator[](inTree)->size();
	RouletteT<unsigned int> lRoulette;
	for (unsigned int i=0; i<lSize; i++) {
		if (operator[](inTree)->operator[](i).mSubTreeSize == 1) {
			lRoulette.insert(i);
		}
	}
	// Select node with roulette
	Beagle_AssertM(!lRoulette.empty());
	return lRoulette.select(ioContext.getSystem().getRandomizer());
	Beagle_StackTraceEndM();
}
/*!
 *  \brief Select a node for mating in the given individual, following the constraints penalties.
 *  \param outSelectTreeIndex Tree index of the selected node.
 *  \param outSelectNodeIndex Index of the selected node.
 *  \param inSelectABranch True if node to select must be a branch, false if it must a leaf.
 *  \param inNodeReturnType Desired return type for the nodes to be selected.
 *  \param inPrimitSetIndex Primitive set index to which the tree must be associated.
 *  \param inMaxSubTreeDepth Maximum sub tree depth allowed of the node to be selected.
 *  \param inMaxSubTreeSize Maximum sub tree size allowed of the node to be selected.
 *  \param inIndividual Individual to select the node from.
 *  \param ioContext Evolutionary context.
 *  \return True if there was node to select, false if no node respected all constraints.
 */
bool STGP::CrossoverConstrainedOp::selectNodeToMateWithType(unsigned int& outSelectTreeIndex,
        unsigned int& outSelectNodeIndex,
        bool inSelectABranch,
        const std::type_info* inNodeReturnType,
        unsigned int inPrimitSetIndex,
        unsigned int inMaxSubTreeDepth,
        unsigned int inMaxSubTreeSize,
        GP::Individual& inIndividual,
        GP::Context& ioContext) const
{
	Beagle_StackTraceBeginM();
	RouletteT< std::pair<unsigned int,unsigned int> > lRoulette;
	GP::Tree::Handle lOldTreeHandle = ioContext.getGenotypeHandle();
	const unsigned int lOldTreeIndex = ioContext.getGenotypeIndex();
	ioContext.emptyCallStack();
	for(unsigned int i=0; i<inIndividual.size(); ++i) {
		if(inIndividual[i]->getPrimitiveSetIndex() != inPrimitSetIndex) continue;
		ioContext.setGenotypeHandle(inIndividual[i]);
		ioContext.setGenotypeIndex(i);
		buildRouletteWithType(lRoulette,
		                      inSelectABranch,
		                      inNodeReturnType,
		                      inMaxSubTreeDepth,
		                      inMaxSubTreeSize,
		                      0,
		                      *inIndividual[i],
		                      ioContext);
	}
	ioContext.setGenotypeIndex(lOldTreeIndex);
	ioContext.setGenotypeHandle(lOldTreeHandle);
	if(lRoulette.size() == 0) return false;
	std::pair<unsigned int,unsigned int> lSelectedNode =
	    lRoulette.select(ioContext.getSystem().getRandomizer());
	outSelectTreeIndex = lSelectedNode.first;
	outSelectNodeIndex = lSelectedNode.second;
	return true;
	Beagle_StackTraceEndM();
}
/*!
 *  \brief Apply the oversize replacement strategy operation on a deme.
 *  \param ioDeme Reference to the deme on which the operation takes place.
 *  \param ioContext Evolutionary context of the operation.
 */
void OversizeOp::operate(Deme& ioDeme, Context& ioContext)
{
	Beagle_StackTraceBeginM();
	Beagle_NonNullPointerAssertM(getRootNode());
	Beagle_ValidateParameterM
	(mOversizeRatio->getWrappedValue() >= 1.0
	 || mOversizeRatio->getWrappedValue() == -1.0,
	 mOversizeRatioName,
	 "The oversize ratio must be greater than or equal to 1.0, or equal to -1.0.");
	
	Beagle_LogTraceM(
					 ioContext.getSystem().getLogger(),
					 "replacement-strategy", "Beagle::OversizeOp",
					 string("Using oversize replacement strategy to process the ")+
					 uint2ordinal(ioContext.getDemeIndex()+1)+" deme"
					 );
	Beagle_LogObjectM(
					  ioContext.getSystem().getLogger(),
					  Logger::eTrace,
					  "replacement-strategy", "Beagle::OversizeOp",
					  (*this)
					  );
	
	RouletteT<unsigned int> lRoulette;
	buildRoulette(lRoulette, ioContext);
	
	// Calculate the increase in size (lambda)
	float lRatio = mOversizeRatio->getWrappedValue();
	unsigned int lLambda;
	if (lRatio == -1.0) {
		// Using special ratio of -1.0 ensures deme grows to size specified in 'ec.pop.size'
		if (!ioContext.getSystem().getRegister().isRegistered("ec.pop.size")) {
			throw Beagle_RunTimeExceptionM(getName()+" requires register variable 'ec.pop.size'");
		}
		UIntArray::Handle lPopSize = castHandleT<UIntArray>
		(ioContext.getSystem().getRegister().getEntry("ec.pop.size"));
		unsigned int lSpecifiedDemeSize = (*lPopSize)[ioContext.getDemeIndex()];
		unsigned int lCurrentDemeSize = ioDeme.size();
		if (lSpecifiedDemeSize < lCurrentDemeSize) {
			throw Beagle_RunTimeExceptionM
			(std::string("For the ")+uint2ordinal(ioContext.getDemeIndex()+1)+
			 " deme, the size specified in 'ec.pop.size' ("+uint2str(lSpecifiedDemeSize)+
			 ") is less than the current deme size ("+uint2str(lCurrentDemeSize)+
			 ").  "+getName()+" can only increase the size of the deme.  Consider using DecimateOp "+
			 "if you wish to decrease the size of the deme");
		}
		lLambda = lSpecifiedDemeSize - lCurrentDemeSize;
	} else {
		// Using ratio to scale the deme's population
		lLambda = (unsigned int)ceil((lRatio-1.0)*float(ioDeme.size()));
	}
	Beagle_LogTraceM(
					 ioContext.getSystem().getLogger(),
					 "replacement-strategy", "Beagle::OversizeOp",
					 string("Population will be increased in size by ")+uint2str(lLambda)+" individuals"
					 );
	
	// Create the new individuals.
	Individual::Bag lOffsprings;
	for(unsigned int i=0; i<lLambda; ++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);
	}
	
	// Add the new individuals into the deme.
	ioDeme.insert(ioDeme.end(), lOffsprings.begin(), lOffsprings.end());
	Beagle_LogDetailedM(
						ioContext.getSystem().getLogger(),
						"replacement-strategy", "Beagle::OversizeOp",
						string("There are now ")+uint2str(ioDeme.size())+" individuals in the "+
						uint2ordinal(ioContext.getDemeIndex()+1)+" deme"
						);
	Beagle_StackTraceEndM("void OversizeOp::operate(Deme& ioDeme, Context& ioContext)");
}
/*!
 *  \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 Standard mutate a constrained GP individual.
 *  \param ioIndividual GP individual to standard mutate.
 *  \param ioContext Context of the evolution.
 *  \return True if the individual is effectively mutated, false if not.
 */
bool GP::MutationStandardSelectiveConstrainedOp::mutate(Beagle::Individual& ioIndividual, Beagle::Context& ioContext)
{
	Beagle_StackTraceBeginM();
	GP::Individual& lIndividual        = castObjectT<GP::Individual&>(ioIndividual);
	GP::Context& lContext              = castObjectT<GP::Context&>(ioContext);
	unsigned int lMaxTreeDepth         = mMaxTreeDepth->getWrappedValue();
	unsigned int lMaxRegenerationDepth = mMaxRegenerationDepth->getWrappedValue();
	
	//Select node to mutate
	unsigned int lChoosenTree = 0;
	unsigned int lChoosenNode = 0;
	
	bool lDoParameterSearch = (lContext.getSystem().getRandomizer().rollUniform(0.0, 1.0) <= mMutParameterPb->getWrappedValue());
	
	//Select primitive based on type
	for(unsigned int lTry = 0; lTry < 2; ++lTry) { //Do only twice
		std::vector<const std::type_info*> lDesiredTypes(1, ArgEph);
		RouletteT< std::pair<unsigned int,unsigned int> > lRoulette;
		SelectiveConstrainedSelectionOp::buildRoulette(lRoulette, lDesiredTypes, lIndividual, lContext,!lDoParameterSearch,lDoParameterSearch);
		
		if(lRoulette.size() == 0) {
			if(lDoParameterSearch) {
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
								   string("No EphemeralDouble node found.")
								   );
			}
			else {
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
								   string("No non EphemeralDouble node found.")
								   );
			}
			lDoParameterSearch = !lDoParameterSearch;
			if(lTry >= 1) {
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
								   "Unable to GP standard mutate the individual"
								   );
				return false;
			}
		}
		else { 
			std::pair<unsigned int,unsigned int> lSelectedNode = lRoulette.select(ioContext.getSystem().getRandomizer());
			lChoosenTree = lSelectedNode.first;
			lChoosenNode = lSelectedNode.second;
			break;
		}
	}
	
	if(lDoParameterSearch) {
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
						   string("Mutation applied only on EphemeralDouble node.")
						   );
	}
	else {
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
						   string("Mutation applied on node that are not EphemeralDouble.")
						   );
	}
	
	
	unsigned int lOldGenotypeIndex = lContext.getGenotypeIndex();
	GP::Tree::Handle lOldGenotypeHandle = lContext.getGenotypeHandle();
	
	Beagle_LogDebugM(
					 ioContext.getSystem().getLogger(),
					 "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
					 std::string("Individual before GP standard mutation: ")+
					 ioIndividual.serialize()
					 );
	
	GP::Tree::Handle lActualTree = lIndividual[lChoosenTree];
	GP::Tree::Handle lNewTree    = castHandleT<GP::Tree>(lIndividual.getTypeAlloc()->allocate());
	lNewTree->setPrimitiveSetIndex(lActualTree->getPrimitiveSetIndex());
	lNewTree->setNumberArguments(lActualTree->getNumberArguments());
	unsigned int lChoosenNodeSubTreeSize = (*lActualTree)[lChoosenNode].mSubTreeSize;
	lNewTree->insert(lNewTree->end(), lActualTree->begin(), lActualTree->begin()+lChoosenNode);
	lContext.setGenotypeIndex(lChoosenTree);
	lContext.setGenotypeHandle(lActualTree);
	lContext.emptyCallStack();
	lActualTree->setContextToNode(lChoosenNode, lContext);
	lContext.popCallStack();
	const unsigned int lMaxSubTreeDepth =
    minOf<unsigned int>(lMaxTreeDepth - lContext.getCallStackSize(), lMaxRegenerationDepth);
	lIndividual[lChoosenTree] = lNewTree;
	lContext.setGenotypeHandle(lNewTree);
	
	unsigned int lAttempt=0;
	if(lMaxSubTreeDepth >= 1) {
		for(; lAttempt < mNumberAttempts->getWrappedValue(); lAttempt++) {
			if(mInitOp->initTree(*lNewTree, 1, lMaxSubTreeDepth, lContext) != 0) break;
		}
	} else {
		lAttempt = mNumberAttempts->getWrappedValue();
	}
	
	if(lAttempt == mNumberAttempts->getWrappedValue()) {
		lIndividual[lChoosenTree] = lActualTree;
		lContext.setGenotypeIndex(lOldGenotypeIndex);
		lContext.setGenotypeHandle(lOldGenotypeHandle);
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
						   "Unable to GP standard mutate the individual"
						   );
		return false;
	}
	
	if( !lDoParameterSearch ) {
		//Set structure id invalid
		castHandleT<TreeSTag>((lIndividual)[0])->setStructureIDInvalid();
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
						   std::string("Set structure id invalid") );
	}
	
	Beagle_LogVerboseM(
					   ioContext.getSystem().getLogger(),
					   "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
					   std::string("GP standard mutate the ")+uint2ordinal(lChoosenNode+1)+
					   std::string(" node, ")+ (*lActualTree)[lChoosenNode].mPrimitive->getName()
					   +std::string(", of the ")+uint2ordinal(lChoosenTree+1)+
					   std::string(" tree with max depth ")+uint2str(lMaxSubTreeDepth)
					   );
	
	lNewTree->insert(lNewTree->end(),
					 lActualTree->begin()+lChoosenNode+lChoosenNodeSubTreeSize,
					 lActualTree->end());
	unsigned int lDiffSize =
    (*lActualTree)[lChoosenNode].mSubTreeSize - (*lNewTree)[lChoosenNode].mSubTreeSize;
	for(unsigned int l=0; l<lContext.getCallStackSize(); l++) {
		(*lNewTree)[lContext.getCallStackElement(l)].mSubTreeSize -= lDiffSize;
	}
	
	lContext.setGenotypeIndex(lOldGenotypeIndex);
	lContext.setGenotypeHandle(lOldGenotypeHandle);
	
	Beagle_LogDebugM(
					 ioContext.getSystem().getLogger(),
					 "mutation", "Beagle::GP::MutationStandardSelectiveConstrainedOp",
					 std::string("Individual after GP standard mutation: ")+
					 ioIndividual.serialize()
					 );
	
	return true;
	Beagle_StackTraceEndM("bool GP::MutationStandardSelectiveConstrainedOp::mutate(Beagle::Individual& ioIndividual, Beagle::Context& ioContext)");
}
Пример #8
0
/*!
 *  \brief Apply NSGA2 multiobjective selection operator as a replacement strategy.
 *  \param ioDeme Deme on which selection operator is applied.
 *  \param ioContext Evolutionary context.
 */
void EMO::NSGA2Op::applyAsReplacementStrategy(Deme& ioDeme, Context& ioContext)
{
	Beagle_StackTraceBeginM();
	Beagle_LogTraceM(
	    ioContext.getSystem().getLogger(),
	    std::string("Processing using NSGA2 replacement strategy the ")+
	    uint2ordinal(ioContext.getDemeIndex()+1)+" deme"
	);
	Beagle_LogTraceM(ioContext.getSystem().getLogger(), (*this));

	// Generate a new generation of individuals, merged with the actual one.
	const unsigned int lLambda =
	    (unsigned int)std::ceil(mLMRatio->getWrappedValue()*float(ioDeme.size()));
	Beagle_LogVerboseM(
	    ioContext.getSystem().getLogger(),
	    "Generating " << lLambda << " offsprings using breeder tree"
	);
	RouletteT<unsigned int> lRoulette;
	buildRoulette(lRoulette, ioContext);
	Individual::Bag lOffsprings(ioDeme);
	for(unsigned int i=0; i<lLambda; ++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);
	}

	// Fast non-dominated sorting, followed by insertion of the first Pareto fronts.
	Beagle_LogVerboseM(
	    ioContext.getSystem().getLogger(),
	    "Applying fast non-dominated sorting on the union of parents and offsprings individual"
	);
	NSGA2Op::Fronts lParetoFronts;
	sortFastND(lParetoFronts, ioDeme.size(), lOffsprings, ioContext);
	unsigned int lIndexDeme=0;
	for(unsigned int j=0; j<(lParetoFronts.size()-1); ++j) {
		for(unsigned int k=0; k<lParetoFronts[j].size(); ++k) {
			ioDeme[lIndexDeme++] = lOffsprings[lParetoFronts[j][k]];
		}
	}

	// Insertion of the last Pareto front, using crowding distance
	Individual::Bag lLastFrontIndiv;
	for(unsigned int l=0; l<lParetoFronts.back().size(); ++l) {
		lLastFrontIndiv.push_back(lOffsprings[lParetoFronts.back()[l]]);
	}
	NSGA2Op::Distances lDistances;
	Beagle_LogVerboseM(
	    ioContext.getSystem().getLogger(),
	    "Computing crowding distance on the " << uint2ordinal(lParetoFronts.size()) <<
	    " Pareto front, which is made of " << lParetoFronts.back().size() << " individuals"
	);
	evalCrowdingDistance(lDistances, lLastFrontIndiv);
	for(unsigned int m=0; lIndexDeme<ioDeme.size(); ++m) {
		ioDeme[lIndexDeme++] = lLastFrontIndiv[lDistances[m].second];
	}
	Beagle_StackTraceEndM();
}
/*!
 *  \brief Swap mutate a constrained GP individual.
 *  \param ioIndividual GP individual to swap mutate.
 *  \param ioContext Context of the evolution.
 *  \return True if the individual is effectively mutated, false if not.
 */
bool GP::MutationSwapDepthSelectiveConstrainedOp::mutate(Beagle::Individual& ioIndividual, Beagle::Context& ioContext)
{
	Beagle_StackTraceBeginM();
	GP::Individual& lIndividual  = castObjectT<GP::Individual&>(ioIndividual);
	GP::Context& lContext        = castObjectT<GP::Context&>(ioContext);
	double lDistrProba           = mDistributionProba->getWrappedValue();
	unsigned int lNumberAttempts = mNumberAttempts->getWrappedValue();
	bool lMutationDone           = false;
	
	//Select node to mutate
	unsigned int lChoosenTree = 0;
	unsigned int lChoosenNode = 0;
	
	bool lDoParameterSearch = (lContext.getSystem().getRandomizer().rollUniform(0.0, 1.0) <= mMutParameterPb->getWrappedValue());
	
	RouletteT< std::pair<unsigned int,unsigned int> > lRoulette;
	//Select primitive based on type
	for(unsigned int lTry = 0; lTry < 2; ++lTry) { //Do only twice
		std::vector<const std::type_info*> lDesiredTypes(1, ArgEph);
		DepthDependentSelectionOp::buildRoulette(lRoulette, lDesiredTypes, lIndividual, lContext,!lDoParameterSearch,lDoParameterSearch);
		
		if(lRoulette.size() == 0) {
			if(lDoParameterSearch) {
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
								   string("No EphemeralDouble node found.")
								   );
			}
			else {
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
								   string("No non EphemeralDouble node found.")
								   );
			}
			lDoParameterSearch = !lDoParameterSearch;
			if(lTry >= 1) {
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
								   "Unable to GP standard mutate the individual"
								   );
				return false;
			}
		}
		else { 
			std::pair<unsigned int,unsigned int> lSelectedNode = lRoulette.select(ioContext.getSystem().getRandomizer());
			lChoosenTree = lSelectedNode.first;
			lChoosenNode = lSelectedNode.second;
			break;
		}
	}
	
	if(lDoParameterSearch) {
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
						   string("Mutation applied only on EphemeralDouble node.")
						   );
	}
	else {
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
						   string("Mutation applied on node that are not EphemeralDouble.")
						   );
	}
	
	GP::Tree& lTree = *lIndividual[lChoosenTree];
	if(lTree.size() == 0) return false;
	
	GP::Tree::Handle lOldTreeHandle = lContext.getGenotypeHandle();
	unsigned int lOldTreeIndex = lContext.getGenotypeIndex();
	lContext.setGenotypeHandle(lIndividual[lChoosenTree]);
	lContext.setGenotypeIndex(lChoosenTree);
	
	Beagle_LogDebugM(
					 ioContext.getSystem().getLogger(),
					 "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
					 std::string("Individual before constrained GP tree swap mutation: ")+ioIndividual.serialize()
					 );
	
	if(lTree.size() > 1) {
		bool lTypeNode = (lContext.getSystem().getRandomizer().rollUniform(0., 1.) < lDistrProba);
		//Clean the roulette to include only the choosen tree
		for(std::vector< std::pair<double, std::pair<unsigned int,unsigned int> > >::iterator lRouletteIter = lRoulette.begin(); lRouletteIter!=lRoulette.end();){
			if(lRouletteIter->second.first != lChoosenTree || (lTree[lRouletteIter->second.second].mPrimitive->getNumberArguments() != 0) != lTypeNode ) {
				lRouletteIter = lRoulette.erase(lRouletteIter++);
			} else {
				++lRouletteIter;
			}
		}
		if(lRoulette.size() > 0) 
			lChoosenNode = lRoulette.select(ioContext.getSystem().getRandomizer()).second;
	}
	
	if( !lDoParameterSearch || lRoulette.size() > 0 ) {
	
		Primitive::Handle lOriginalPrimitive = lTree[lChoosenNode].mPrimitive;
		
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
						   std::string("Trying to constrained GP tree swap mutate the ")+uint2ordinal(lChoosenNode+1)+
						   std::string(" node (primitive: \"")+lOriginalPrimitive->getName()+
						   std::string("\" nb args: ")+uint2str(lOriginalPrimitive->getNumberArguments())+
						   std::string(") of the ")+uint2ordinal(lChoosenTree+1)+std::string(" tree")
						   );
		
		GP::PrimitiveSet& lPrimitiveSet = lTree.getPrimitiveSet(lContext);
		unsigned int lNbArgsPrimit = lTree[lChoosenNode].mPrimitive->getNumberArguments();
		lTree.setContextToNode(lChoosenNode, lContext);
		for(unsigned int lAttempt=0; lAttempt < lNumberAttempts; ++lAttempt) {
			Primitive::Handle lChoosenPrimitive = lPrimitiveSet.select(lNbArgsPrimit, lContext);
			if(lChoosenPrimitive==NULL) break;
			
			lTree[lChoosenNode].mPrimitive = lChoosenPrimitive->giveReference(lNbArgsPrimit, lContext);
			
			Beagle_LogVerboseM(
							   ioContext.getSystem().getLogger(),
							   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
							   std::string("Trying the primitive \"")+lChoosenPrimitive->getName()+
							   std::string("\"")
							   );
			
			if(lTree.validateSubTree(lChoosenNode, lContext)) {
				lMutationDone = true;
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
								   "Constrained GP tree swap mutation valid"
								   );
				break;
			}
			else {
				lTree[lChoosenNode].mPrimitive = lOriginalPrimitive;
				Beagle_LogVerboseM(
								   ioContext.getSystem().getLogger(),
								   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
								   "Constrained GP tree swap mutation invalid"
								   );
			}
		}
	}
	
	lContext.setGenotypeHandle(lOldTreeHandle);
	lContext.setGenotypeIndex(lOldTreeIndex);
	
	if(lMutationDone) {
		if( !lDoParameterSearch ) {
			//Set structure id invalid
			castHandleT<TreeSTag>((lIndividual)[0])->setStructureIDInvalid();
			Beagle_LogVerboseM(
							   ioContext.getSystem().getLogger(),
							   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
							   std::string("Set structure id invalid") );
		}
		
		Beagle_LogDebugM(
						 ioContext.getSystem().getLogger(),
						 "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
						 std::string("Individual after constrained GP swap mutation: ")+
						 ioIndividual.serialize()
						 );
	}
	else {
		Beagle_LogVerboseM(
						   ioContext.getSystem().getLogger(),
						   "mutation", "Beagle::GP::MutationSwapDepthSelectiveConstrainedOp",
						   "Unable to swap mutate the constrained individual"
						   );
	}
	
	return lMutationDone;
	Beagle_StackTraceEndM("bool GP::MutationSwapDepthSelectiveConstrainedOp::mutate(Beagle::Individual& ioIndividual, Beagle::Context& ioContext)");
}