private void GeneratePopulation(bool isFirst = false)
{
Generation++;
if (isFirst /* || (!isFirst && GameObject.FindObjectOfType<UIManager>().bestFitLocal == 0) */)
{
for (int i = 0; i < CellsStartCount; i++)
{
var neuralNetwork = new NeuralNetwork(5, 2, new int[] { 5, 4 }, 4);
neuralNetwork.InitializeWeight();
AddCell().Initialize(neuralNetwork);
}
}
else
{
IEnumerable <KeyValuePair <NeuralNetwork, float> > arr = dictionary.OrderByDescending(t => t.Value);
var arr2 = arr.ToList();
arr2.RemoveRange(CellsSelectionCount, arr2.Count - CellsSelectionCount);
List <NeuralNetwork> neuralNetworks = new List <NeuralNetwork>();
foreach (var x in arr2)
{
neuralNetworks.Add(x.Key);
}
for (int i = 0; i < neuralNetworks.Count; i++)
{
for (int j = 0; j < neuralNetworks.Count; j++)
{
NeuralNetwork child = Genetic.CrossOver(neuralNetworks[i], neuralNetworks[j]);
var save = child.Save();
Genetic.Mutate(ref save.dna);
child = new NeuralNetwork(save);
AddCell().Initialize(child);
}
}
dictionary.Clear();
for (int i = 0; i < CellsToDestroy.Count; i++)
{
Destroy(CellsToDestroy[i].gameObject);
}
CellsToDestroy.Clear();
}
GameObject.FindObjectOfType <UIManager>().resetBestFitLocal();
}
void Update()
{
if (!Initialized)
{
return;
}
float foodPresence = -1f;
float cellPresence = -1f;
float poisonPresence = -1f;
float obstaclePresence = -1f;
float canReproduce = -1f;
float turnLeft = 0f;
float turnRight = 0f;
float moving = 0f;
float reproduce = 0f;
Cell NearCell = null;
RaycastHit2D hit2D;
var baseLinePosition = transform.position + (transform.up * (GetComponent <CircleCollider2D>().radius + .1f));
if ((hit2D = Physics2D.Raycast(baseLinePosition, transform.up, Mathf.Infinity)))
{
Debug.DrawLine(baseLinePosition, hit2D.point, Color.blue);
if (hit2D.collider.tag == "Food")
{
foodPresence = 1f;
}
else if (hit2D.collider.tag == "Cell")
{
cellPresence = 1f;
if (hit2D.distance < .5f)
{
NearCell = hit2D.collider.transform.GetComponent <Cell>();
}
}
else if (hit2D.collider.tag == "Poison")
{
poisonPresence = 1f;
}
else if (hit2D.collider.tag == "Obstacle")
{
obstaclePresence = 1f;
}
else
{
Debug.Log("Unknow object tag!");
}
}
if (FoodStock >= 2)
{
canReproduce = 1f;
}
var Inputs = new float[] { foodPresence, cellPresence, poisonPresence, obstaclePresence, canReproduce };
neuralNetwork.SetInput(Inputs);
neuralNetwork.Propagate();
var Outputs = neuralNetwork.GetOutput();
turnLeft = (Outputs[0] + 1f) / 2f;
turnRight = (Outputs[1] + 1f) / 2f;
moving = (Outputs[2] + 1f) / 2f;
reproduce = Outputs[3];
if (reproduce > 0 && NearCell != null && canReproduce == 1f)
{
NeuralNetwork child = Genetic.CrossOver(neuralNetwork, NearCell.neuralNetwork);
var save = child.Save();
Genetic.Mutate(ref save.dna);
child = new NeuralNetwork(save);
GameObject.FindObjectOfType <WorldManager>().AddCell().Initialize(child);
FoodStock -= 2;
fitness += 1f;
}
transform.Rotate(Vector3.forward * turnLeft * -80f * Time.deltaTime);
transform.Rotate(Vector3.forward * turnRight * 80f * Time.deltaTime);
if (moving > .5f)
{
transform.Translate(Vector3.up * 3f * Time.deltaTime);
}
//fitness += turnLeft / 100;
//fitness += turnRight / 100;
//fitness += moving / 100;
life -= Time.deltaTime;
if (life <= 0)
{
GameObject.FindObjectOfType <WorldManager>().RemoveCell(this.transform);
}
uIManager.SetLocalBestFit(fitness);
}