// Update is called once per frame
void Update()
{
if (isTraining == false)
{
//Fresh start
if (generationNumber == 0 && neuralNetworks == null)
{
InitEntityNeuralNetworks();
}
//Continue
else if (!loadFromFile)
{
averageFitness = CalculateAverageFitness();
bestFitness = CalculateBestFitness();
bestFitnessNr.text = bestFitness.ToString();
avgFitnessNr.text = averageFitness.ToString();
neuralNetworks.Sort();
for (int i = 0; i < populationSize / 2; i++)
{
neuralNetworks[i] = new NeuralNetwork(neuralNetworks[i + (populationSize / 2)]);
neuralNetworks[i].Mutate();
neuralNetworks[i + (populationSize / 2)] = new NeuralNetwork(neuralNetworks[i + (populationSize / 2)]);
}
for (int i = 0; i < populationSize; i++)
{
neuralNetworks[i].SetFitness(0f);
}
}
loadFromFile = false;
DrawNeuralNetwork.NeuralNetworkDrawing(neuralNetworks[populationSize / 2]);
generationNumber++;
generationNr.text = generationNumber.ToString();
isTraining = true;
CreateEntities(); timer = 0.0f;
}
else
{
timer += Time.deltaTime;
int entityCount = entities.Count;
for (int i = 0; i < entities.Count; i++)
{
if (entities[i] == null)
{
entityCount--;
}
}
if (entityCount == 0 || timer >= maxTime)
{
Timer();
}
}
}
private void Start()
{
if (Instance == null)
{
Instance = this;
}
neuralNetworks = new List <NeuralNetwork>();
}
// Update is called once per frame
void Update()
{
if (isTraining == false)
{
//Fresh start
if (generationNumber == 0 && neuralNetworks == null)
{
Debug.Log("Fresh start");
InitEntityNeuralNetworks();
}
else if (generationNumber == 0)
{
Debug.Log("Start from neuralnetworks");
}
//Continue
else
{
averageFitness = CalculateAverageFitness();
bestFitness = CalculateBestFitness();
bestFitnessNr.text = bestFitness.ToString();
avgFitnessNr.text = averageFitness.ToString();
neuralNetworks.Sort();
for (int i = 0; i < populationSize / 2; i++)
{
neuralNetworks[i] = new NeuralNetwork(neuralNetworks[i + (populationSize / 2)]);
neuralNetworks[i].Mutate();
neuralNetworks[i + (populationSize / 2)] = new NeuralNetwork(neuralNetworks[i + (populationSize / 2)]);
}
for (int i = 0; i < populationSize; i++)
{
neuralNetworks[i].SetFitness(0f);
}
}
DrawNeuralNetwork.NeuralNetworkDrawing(neuralNetworks[0]);
generationNumber++;
generationNr.text = generationNumber.ToString();
isTraining = true;
wispSpawnPosition.position = GridManager.Instance.GetRandomNode().vPosition + Vector3.up * 3;
WispTargetPosition.position = GridManager.Instance.GetRandomNode().vPosition + Vector3.up * 3;
CreateEntities();
timer = 0.0f;
}
else
{
timer += Time.deltaTime;
int entityCount = entities.Count;
for (int i = 0; i < entities.Count; i++)
{
if (entities[i] == null)
{
entityCount--;
}
}
if (entityCount == 0 || timer >= maxTime)
{
Timer();
}
}
}
