public Move[] CrossOver(AIIndividual otherParent)
{
Move[] childGenes = new Move[Genes.Length];
for (int i = 0; i < Genes.Length; i++)
{
childGenes[i] = Random.value < 0.5 ? Genes[i] : otherParent.Genes[i];
}
return(childGenes);
}
private void NewGeneration()
{
// Go calculate the fitness
CalculateFitness();
//Order population based on fitness
IOrderedEnumerable <AIIndividual> orderedPopulation = population.Select(value => value).OrderByDescending(individual => individual.Fitness);
// Find the fittest individual
AIIndividual fittest = orderedPopulation.ElementAt(0);
// Find the second fittest individual
AIIndividual secondFittest = orderedPopulation.ElementAt(1);
if (bestGenes == null || bestFitness < fittest.Fitness)
{
bestGenes = fittest.Genes;
bestFitness = fittest.Fitness;
bestGeneration = generation;
bestCleaned = fittest.cleaned;
}
// Create new population
List <AIIndividual> newPopulation = new List <AIIndividual>();
for (int i = 0; i < population.Count; i++)
{
GameObject initializedObject = Instantiate(individualObject, spawnLocation, Quaternion.identity);
AIIndividual child = initializedObject.GetComponent <AIIndividual>();
initializedObject.transform.name = GetIndividualName(newPopulation);
// Crossover fittest with second fittest
child.Genes = bestGenes.Equals(fittest.Genes) ? fittest.CrossOver(secondFittest) : fittest.CrossOver(bestGenes);
// Mutate
child.Mutate(mutationRate);
// Give copy of the room because they can not clean the same room
child.RoomClone = CloneRoom();
// Child is ready!
child.Initialize();
// Add child to new population
newPopulation.Add(child);
}
foreach (AIIndividual individual in population)
{
Destroy(individual.gameObject);
}
population.Clear();
population = newPopulation;
generation++;
}
private void StartPopulation()
{
for (int i = 0; i < initalPopulationCount; i++)
{
GameObject initializedObject = Instantiate(individualObject, spawnLocation, Quaternion.identity);
AIIndividual individual = initializedObject.GetComponent <AIIndividual>();
initializedObject.transform.name = GetIndividualName(population);
// Random genes because we have no clue about the room yet
individual.Genes = CreateRandomGenes();
// Give copy of the room because they can not clean the same room
individual.RoomClone = CloneRoom();
// Individual is ready!
individual.Initialize();
population.Add(individual);
}
}