public void ReplaceBrains(SNN targetBrain)
{
if (lockMutations)
{
return;
}
brain = targetBrain.DeepClone();
}
private void Start()
{
brain = new SNN(new List <int> {
5, 5, 1
}, random);
mover = GetComponent <CarMover>();
sensorDistances = new List <double>();
}
public static SNN Combine(SNN snn1, SNN snn2)
{
SNN newSNN = new SNN();
newSNN.rand = new Random();
newSNN.shape = snn1.shape;
newSNN.weigths = new List <Matrix <double> >();
newSNN.weigths.Add(snn1.weigths[0].Clone());
newSNN.weigths.Add(snn2.weigths[1].Clone());
return(newSNN);
}
public SNN DeepClone()
{
SNN newSNN = new SNN();
newSNN.weigths = new List <Matrix <double> >();
newSNN.rand = rand;
newSNN.shape = shape;
for (int i = 0; i < weigths.Count; i++)
{
newSNN.weigths.Add(weigths[i].Clone());
}
return(newSNN);
}
private void BestOfTwo()
{
if (generatedCars.Count < 2)
{
Debug.LogWarning("You need at least 2 cars to use BO2 method");
return;
}
List <Car> bestCars = generatedCars.Take(2).ToList();
SNN combinedBrains = SNN.Combine(bestCars[0].carBrain.brain, bestCars[1].carBrain.brain);
foreach (var car in generatedCars)
{
if (bestCars.Contains(car))
{
continue;
}
car.carBrain.ReplaceBrains(combinedBrains);
car.carBrain.MutateBrains(new System.Random(mutationRandomizer.Next()));
}
}
public override int GetHashCode()
{
return(SNN.GetHashCode());
}
