// Crossover and mutate the best genes to produce child gene and use that child for the next round of the game.
private void BreedNewGenes()
{
if (Save.NumOfGames < Save.Population.Count)
{
// Create two parents and assign the elite genes to them. Should look into breeding some of the lower performing genes.
parent1 = Save.Population[Save.BestGenesIndex]; // Best gene
parent2 = Save.Population[UnityEngine.Random.Range(0, Save.Population.Count)]; // random gene from population of 100
Genes child = parent1.Crossover(parent2, numOfEnemyVariables, random);
child.Mutate(mutationRate, random, numOfEnemyVariables);
child.Generation = Save.NumOfGames;
Save.Population[Save.NumOfGames] = child;
}
}
public void NewGeneration(int numNewDNA = 0, bool crossoverNewDNA = false)
{
int finalCount = Population.Count + numNewDNA;
if (finalCount <= 0)
{
return;
}
if (Population.Count > 0)
{
CalculateFitness();
Population.Sort(CompareDNA);
}
newPopulation.Clear();
//crossover
for (int i = 0; i < Population.Count; i++)
{
if (i < Elitism && i < Population.Count)
{
newPopulation.Add(Population[i]);
}
else if (i < Population.Count || crossoverNewDNA)
{
Genes <T> parent1 = ChooseParent();
Genes <T> parent2 = ChooseParent();
Genes <T> child = parent1.Crossover(parent2);
child.Mutate(mutationRate);
newPopulation.Add(child);
}
else
{
newPopulation.Add(new Genes <T>(dnaSize, random, getRandomGene, fitnessFunction, shouldInitGenes: true));
}
}
List <Genes <T> > tmpList = Population;
Population = newPopulation;
newPopulation = tmpList;
//create new population;
Generation++;
}