void AddToPool(GeneticAgent agent)
{
pool.Add(agent);
pool.Sort();
pool.Sort();
if (pool.Count > maxPoolSize)
{
GeneticAgent a = pool[pool.Count - 1];
Destroy(a.gameObject);
pool.RemoveAt(pool.Count - 1);
}
}
GeneticAgent CreateAgentFromCrossOver(GeneticAgent parentOne, GeneticAgent parentTwo)
{
NeuralNet neuralNetwork = parentOne.neuralNetwork;
if (parentOne != parentTwo)
{
neuralNetwork = CreateNeuralNetworkFromCrossOver(parentOne.neuralNetwork, parentTwo.neuralNetwork);
}
var agent = AddAgentToSimulation();
agent.neuralNetwork = neuralNetwork;
return(agent);
}
/*
* bool :PoolSort(std::shared_ptr<C_GeneticAgent> a, std::shared_ptr<C_GeneticAgent> b)
* {
* return a->GetTimeAlive() > b->GetTimeAlive();
* }
*/
void Update()
{
for (int i = agents.Count - 1; i >= 0; i--)
{
GeneticAgent o = agents[i];
var geneticAgent = o.GetComponent <GeneticAgent>();
if (geneticAgent.energy <= 0)
{
AddToPool(o);
CalculateTotalFitness();
if (pool.Count > 1)
{
int parentOne = FitnessProportionateSelection();
int parentTwo = FitnessProportionateSelection();
GeneticAgent agent = CreateAgentFromCrossOver(pool[parentOne], pool[parentTwo]);
float mutation = Random.value;
if (mutation < mutationChance)
{
agent.neuralNetwork.Mutate();
}
agents.Add(agent);
}
agents.RemoveAt(i);
o.gameObject.SetActive(false);
}
}
}
private void Awake()
{
agent = GetComponent <GeneticAgent>();
}
// Use this for initialization
void Start()
{
agent = GetComponent <GeneticAgent>();
}
