// Create a new generation
public void Generate()
{
NeuralNetwork[] temp = new NeuralNetwork[aiList.Count];
// Refill the population with children from the mating pool
for (int i = 0; i < aiList.Count - 1; i++)
{
if (i == bestAlessiaAI)
{
temp[i] = aiList[i].GetComponent <ZombieKnight_AI_DNA>().neuralNetwork;
}
else
{
ZombieKnight_AI_DNA partnerA = PickOne(aiList);
ZombieKnight_AI_DNA partnerB = PickOne(aiList);
NeuralNetwork child = partnerA.CrossOver(partnerB);
Mutate(ref child, mutationRate);
temp[i] = child;
}
}
for (int i = 0; i < aiList.Count - 1; i++)
{
aiList[i].GetComponent <ZombieKnight_AI_DNA>().neuralNetwork = temp[i];
}
aiList[aiList.Count - 1].GetComponent <ZombieKnight_AI_DNA>().neuralNetwork = new NeuralNetwork(inputNodes, hiddenNodes, outputNodes);
//if (matingPool.Count != 0)
{
generations++;
}
RestartAIs(spawnPosition);
}
// Start is called before the first frame update
void Start()
{
aiRigidbody = GetComponent <Rigidbody>();
ai_DNA = GetComponent <ZombieKnight_AI_DNA>();
aiController = GetComponent <ZombieKnightAIController>();
//TEST
//carDNA.InitCar(5, 5, 2);
}
// Crossover
public NeuralNetwork CrossOver(ZombieKnight_AI_DNA partner)
{
// A new child
NeuralNetwork child = new NeuralNetwork(neuralNetwork.inputNodes, neuralNetwork.hiddenNodes, neuralNetwork.outputNodes);
//Do crossover
DoCrossOver(ref child.ihWeights, neuralNetwork.ihWeights, partner.neuralNetwork.ihWeights);
DoCrossOver(ref child.hoWeights, neuralNetwork.hoWeights, partner.neuralNetwork.hoWeights);
DoCrossOver(ref child.biasH, neuralNetwork.biasH, partner.neuralNetwork.biasH);
DoCrossOver(ref child.biasO, neuralNetwork.biasO, partner.neuralNetwork.biasO);
return(child);
}
