public void NewGeneration(int numNewchromosome = 0, bool crossoverNewchromosome = false)
{
int finalCount = Population.Count + numNewchromosome;
if (finalCount <= 0)
{
return;
}
if (Population.Count > 0)
{
// Give fitness value to each chromosome of the population
CalculateFitnessForAllChromosomeInThePopulation();
// Sort the population according to its fitness value. The most fittest
// population will come on top
Population.Sort(CompareChromosome);
}
// Clear all previously added new population
for (int i = 0; i < newPopulation.Count; i++)
{
newPopulation[i].DestroyAllGenes();;
}
newPopulation.Clear();
// Determine new population set
for (int i = 0; i < Population.Count; i++)
{
if (i < Elitism && i < Population.Count)
{
newPopulation.Add(Population[i]);
}
if (i < Population.Count || crossoverNewchromosome)
{
// Fittest parents will be chosen for crossover
Chromosome <T> parent1 = ChooseTheFittestParent();
Chromosome <T> parent2 = ChooseTheFittestParent();
Chromosome <T> child = parent1.Crossover(parent2);
child.Mutate(MutationRate);
newPopulation.Add(child);
}
else
{
newPopulation.Add(new Chromosome <T>(_maxGenes, random, getRandomGene, fitnessFunction, shouldInitGenes: true));
}
}
// Randomize the rotation and position of each gene in the chromosome
for (int i = 0; i < newPopulation.Count; i++)
{
if (newPopulation[i].Genes is Furniture[])
{
var furnitures = newPopulation[i].Genes as Furniture[];
for (int j = 0; j < furnitures.Length; j++)
{
if (furnitures[j].FurnitiGameObject == null)
{
continue;
}
furnitures[j].FurnitiGameObject.transform.position = Furniture.GetRandomPossition(RoomController.Instance.MaxXPos, RoomController.Instance.MaxZPos);
furnitures[j].FurnitiGameObject.transform.rotation = Furniture.GetRandomRotation();
}
}
}
List <Chromosome <T> > tmpList = Population;
Population = newPopulation;
newPopulation = tmpList;
Generation++;
}