private void UpdatePool(GAAgent agent, int i)
{
if (!agent.isAddedToPool)
{
if (pool.name.Equals("Prey Pool"))
{
Debug.Log("Removing " + i);
}
agent.Disable();
agent.isAddedToPool = true;
m_AgentPool.Add(agent);
m_AgentPool.Sort();
agent.owner.transform.SetParent(pool.transform);
if (m_AgentPool.Count > m_MaxPoolSize)
{
MonoBehaviour.Destroy(m_AgentPool [m_AgentPool.Count - 1].owner);
m_AgentPool.RemoveAt(m_AgentPool.Count - 1);
}
if (pool.name.Equals("Prey Pool"))
{
Debug.Log("Pool size " + m_AgentPool.Count);
}
}
}
private GAAgent FitnessProportionateSelection()
{
float randomSlice = Utilities.instance.RandomMinMax(0, m_TotalFitnessScore);
GAAgent choosenAgent = null;
float fitnessTotal = 0;
for (int i = 0; i < m_AgentPool.Count; i++)
{
fitnessTotal += m_AgentPool[i].timeAlive;
if (fitnessTotal > randomSlice)
{
choosenAgent = m_AgentPool[i];
break;
}
if (pool.name.Equals("Prey Pool"))
{
Debug.Log("Chose " + i + " of " + m_AgentPool.Count);
}
}
return(choosenAgent);
}
public NeuralNet CrossOver(GAAgent parentOne, GAAgent parentTwo)
{
NeuralNet neuralNet = new NeuralNet(m_AnnInput, m_AnnOutput, m_AnnHiddenLayers, m_AnnNeuronsPerHiddenLayer);
List <float> newWeights = new List <float> ();
List <float> parentOneWeights = parentOne.GetNeuralNetwork().GetWeights();
List <float> parentTwoWeights = parentTwo.GetNeuralNetwork().GetWeights();
int crossOverPoint;
if (m_RandomCrossoverPoint)
{
crossOverPoint = (int)Utilities.instance.RandomMinMax(0, parentOneWeights.Count);
}
else
{
crossOverPoint = (int)(parentOneWeights.Count * 0.5f);
}
for (int i = 0; i < crossOverPoint; i++)
{
newWeights.Add(parentOneWeights [i]);
}
for (int i = crossOverPoint; i < parentOneWeights.Count; i++)
{
newWeights.Add(parentTwoWeights [i]);
}
neuralNet.SetWeights(newWeights);
return(neuralNet);
}
private void CreateAgentFromCrossover(GAAgent parentOne, GAAgent parentTwo, int index)
{
NeuralNet neuralNetwork = CrossOver(parentOne, parentTwo);
var pos = new Vector2(Random.Range(-10f, 10f), Random.Range(-10f, 10f));
var agent = (GameObject)MonoBehaviour.Instantiate(m_AgentPrefab, pos, Quaternion.identity);
m_Agents [index] = agent.GetComponent <GAAgent> ();
m_Agents [index].SetNeuralNetwork(neuralNetwork);
if (Utilities.instance.RandomMinMax(0f, 1f) < m_MutationChance)
{
m_Agents [index].Mutate();
}
UpdateGenerationNumber();
}
void Awake()
{
m_Agent = GetComponent <GAAgent>();
}
