void GeneticPopulation::crossover(
	const Weights& parent1,
	const Weights& parent2,
	Weights& child1,
	Weights& child2) const {

	assert(parent1.size() == parent2.size());

	if (randomReal(0, 1) > crossoverRate || parent1 == parent2) {
		child1 = parent1;
		child2 = parent2;
		return;
	}

	unsigned crossoverPoint = static_cast<unsigned>(randomInt(0, parent1.size()));

	child1.clear();
	child2.clear();

	//create the offspring
	for (unsigned i = 0; i < crossoverPoint; ++i) {
		child1.push_back(parent1[i]);
		child2.push_back(parent2[i]);
	}

	for (unsigned i = crossoverPoint; i < parent1.size(); ++i) {
		child1.push_back(parent2[i]);
		child2.push_back(parent1[i]);
	}
}
Beispiel #2
0
 void init(StateId axiomsStart_, StateId axiomsEnd) {
   axiomsStart = axiomsStart_;
   weights.clear();
   weights.resize(axiomsEnd-axiomsStart);
 }