public void Init(RNetwork rNetwork, Transform hexagon)
{
this.hexagon = hexagon;
this.rNetwork = rNetwork;
initilized = true;
}
private void Update()
{
GenerationText.text = $"Текущее количество поколений: {generationNumber}";
if (Input.GetKeyUp(KeyCode.Escape))
{
Application.Quit();
}
if (_isTraning == false)
{
if (generationNumber == 0)
{
InitBoomerangNeuralNetworks();
}
else
{
rNetworks.Sort();
for (int i = 0; i < populationSize / 2; i++)
{
rNetworks[i] = new RNetwork(rNetworks[i + (populationSize / 2)]);
rNetworks[i].Mutate();
rNetworks[i + (populationSize / 2)] = new RNetwork(rNetworks[i + (populationSize / 2)]);
}
for (int i = 0; i < populationSize; i++)
{
rNetworks[i].SetFitness(0f);
}
}
generationNumber++;
_isTraning = true;
Invoke("Timer", 15f);
CreateBoomerangBodies();
}
if (Input.GetMouseButtonDown(0))
{
leftMouseDown = true;
}
else if (Input.GetMouseButtonUp(0))
{
leftMouseDown = false;
}
if (leftMouseDown == true)
{
Vector2 mousePosition = Camera.main.ScreenToWorldPoint(Input.mousePosition);
Hexagon.transform.position = mousePosition;
}
}
private void InitBoomerangNeuralNetworks()
{
if (populationSize % 2 != 0)
{
populationSize = 20;
}
rNetworks = new List <RNetwork>();
for (int i = 0; i < populationSize; i++)
{
RNetwork rNetwork = new RNetwork(layers);
rNetwork.Mutate();
rNetworks.Add(rNetwork);
}
}
