std::vector<Genome*> StrongIterativeReplacingGA::breedMutateSelect(
std::vector<Genome*> initialPopulation,
std::vector<Fitness>& populationFitnesses,
std::vector<ObjectiveFunction*> objectives,
std::string speciesNode
) {
std::vector<Genome*> newPopulation, children;
std::vector<unsigned int> parentIndices(2, 0);
for (unsigned int i = 0; i < initialPopulation.size(); i++)
newPopulation.push_back(new Genome(initialPopulation[i]));
for (unsigned int i = 0; i < initialPopulation.size(); i++) {
parentIndices[0] = i;
parentIndices[1] = this->getParent(
initialPopulation,
populationFitnesses
);
std::vector<Genome*> parents;
for (unsigned int k = 0; k < parentIndices.size(); k++)
parents.push_back(initialPopulation[parentIndices[k]]);
children = this->produceChildren(parents, speciesNode);
for (unsigned int k = 0; k < children.size(); k++) {
Fitness childFitness = this->evaluateFitness(
children[k],
objectives
);
if (
childFitness >
populationFitnesses[parentIndices[k]]
) {
delete(newPopulation[parentIndices[k]]);
newPopulation[parentIndices[k]] = children[k];
populationFitnesses[parentIndices[k]] =
childFitness;
} else {
delete(children[k]);
}
}
}
if (this->scramble)
this->scramblePopulation(newPopulation, populationFitnesses);
return(newPopulation);
}
std::vector<Genome*> ReplacingGA::breedMutateSelect(
std::vector<Genome*> initialPopulation,
std::vector<float>& populationFitnesses,
std::vector<ObjectiveFunction*> objectives,
std::string speciesNode
) {
std::vector<Genome*> newPopulation, children, parents;
std::vector<unsigned int> parentIndices(2, 0);
std::vector<float> newFitnesses(populationFitnesses);
for (unsigned int i = 0; i < initialPopulation.size(); i++)
newPopulation.push_back(new Genome(initialPopulation[i]));
for (unsigned int i = 0; i < initialPopulation.size()/2; i++) {
for (int k = 0; k < 2; k++) {
parentIndices[k] = this->getParent(
initialPopulation,
populationFitnesses
);
parents.push_back(initialPopulation[parentIndices[k]]);
}
children = this->produceChildren(parents, speciesNode);
parents.clear();
for (unsigned int k = 0; k < children.size(); k++) {
float childFitness = this->evaluateFitness(
children[k],
objectives
);
if (childFitness > newFitnesses[parentIndices[k]]) {
delete(newPopulation[parentIndices[k]]);
newPopulation[parentIndices[k]] = children[k];
newFitnesses[parentIndices[k]] = childFitness;
} else {
delete(children[k]);
}
}
}
populationFitnesses = newFitnesses;
return(newPopulation);
}
