public void ActivateWithBrain(BloopBrain brain)
{
this.brain = brain;
activate = true;
Invoke("Finish", 20f);
}
void Start()
{
Application.runInBackground = true;
balancers = new GameObject[size];
rankedFitness = new float[size, 2];
for (int i = 0; i < size; i++)
{
BloopBrain brain = new BloopBrain();
brain.GenerationRandomBrain();
brainList.Add(brain);
}
Next();
}
public BloopBrain[] Crossover(BloopBrain brain)
{
BloopBrain[] cross = new BloopBrain[2];
int randomHiddenIndex = Random.Range(0, numberOfHidden);
int randomOutputIndex = Random.Range(0, numberOfOutputs);
cross[0] = new BloopBrain();
cross[1] = new BloopBrain();
for (int i = 0; i < randomHiddenIndex; i++)
{
for (int j = 0; j < numberOfInputs; j++)
{
cross[0].inputWeights[i, j] = inputWeights[i, j];
cross[1].inputWeights[i, j] = brain.inputWeights[i, j];
}
}
for (int i = 0; i < randomOutputIndex; i++)
{
for (int j = 0; j < numberOfHidden; j++)
{
cross[0].hiddenWeights[i, j] = hiddenWeights[i, j];
cross[1].hiddenWeights[i, j] = brain.hiddenWeights[i, j];
}
}
for (int i = randomHiddenIndex; i < numberOfHidden; i++)
{
for (int j = 0; j < numberOfInputs; j++)
{
cross[0].inputWeights[i, j] = brain.inputWeights[i, j];
cross[1].inputWeights[i, j] = inputWeights[i, j];
}
}
for (int i = randomOutputIndex; i < numberOfOutputs; i++)
{
for (int j = 0; j < numberOfHidden; j++)
{
cross[0].hiddenWeights[i, j] = brain.hiddenWeights[i, j];
cross[1].hiddenWeights[i, j] = hiddenWeights[i, j];
}
}
cross[0].Mutate();
cross[1].Mutate();
return(cross);
}
void ActivateWithBrain(BloopBrain newBrain)
{
brain = newBrain;
activate = true;
Invoke("Finish", 10f);
}
public void UpdateCounter(BloopBrain brain)
{
lock (mutex)
{
brainListReturned.Add(brain);
if (sizeCounter == size)
{
//Debug.Log("Done");
brainList.Clear();
generationNumber++;
for (int i = 0; i < size; i++)
{
rankedFitness[i, 0] = i;
rankedFitness[i, 1] = brainListReturned[i].fitness;
Destroy(balancers[i]);
}
BubbleSortBrains();
Debug.Log("BEST: " + rankedFitness[size - 1, 1]);
if (rankedFitness[size - 1, 1] > 20f && generationNumber > 10)
{
Time.timeScale = 1f;
balancers[0] = (GameObject)Instantiate(creaturePrefab);
balancers[0].transform.parent = transform;
balancers[0].SendMessage("ActivateWithBrainTestMode", brainListReturned[(int)rankedFitness[size - 1, 0]]);
}
else
{
int[,] pairedIndcies = new int[size, 2];
for (int i = 0; i < (size / 2); i++)
{
pairedIndcies[i, 0] = Random.Range((size / 2), size);
pairedIndcies[i, 1] = Random.Range((size / 2), size);
}
for (int i = 0; i < (size / 2); i++)
{
int index1 = (int)rankedFitness[pairedIndcies[i, 0], 0];
int index2 = (int)rankedFitness[pairedIndcies[i, 1], 0];
BloopBrain[] cross = brainListReturned[index1].Crossover(brainListReturned[index2]);
brainList.Add(cross[0]);
brainList.Add(cross[1]);
}
brainListReturned.Clear();
sizeCounter = 0;
Next();
/*Debug.Log("BEST: " + rankedFitness[size - 1, 1]);
* Time.timeScale = 1f;
* balancers[0] = (GameObject)Instantiate(creaturePrefab);
* balancers[0].transform.parent = transform;
* balancers[0].SendMessage("ActivateWithBrainTestMode", brainListReturned[(int)rankedFitness[size - 1, 0]]);*/
}
}
else
{
//Debug.Log(brain.fitness);
Next();
}
}
}
public void ActivateWithBrainTestMode(BloopBrain brain)
{
this.brain = brain;
activate = true;
testMode = true;
}