public void setOutputLayer(NeuronLayer outputLayer)
{
System.Random random = GlobalRandom.getInstance().getRandom();
foreach (AbstractNeuron neuron in neuronList)
{
foreach (AbstractNeuron output in outputLayer.neuronList)
{
output.addInput(neuron, random.NextDouble() - random.NextDouble());
}
}
}
public void setOutputLayer(NeuronLayer layer)
{
System.Random random = GlobalRandom.getInstance().getRandom();
foreach (IOutputValue input in inputs)
{
foreach (AbstractNeuron neuron in layer.getNeuronList())
{
neuron.addInput(input, random.NextDouble() - random.NextDouble());
}
}
}
public override void generateWaypoints()
{
flightPath.Clear();
for (int i = 0; i < pathSize; i++)
{
System.Random random = GlobalRandom.getInstance().getRandom();
float x = (float)random.NextDouble() * fieldSize.x - (float)random.NextDouble() * fieldSize.x;
float y = (float)random.NextDouble() * fieldSize.y - (float)random.NextDouble() * fieldSize.y;
float z = (float)random.NextDouble() * fieldSize.z - (float)random.NextDouble() * fieldSize.z;
FlightWaypoint waypoint = Instantiate(wayPointPrefab, new Vector3(x, y, z), Quaternion.identity);
flightPath.Add(waypoint);
}
}
public void mutateViolently(double mutationRate)
{
List <double> newWeights = new List <double>();
System.Random random = GlobalRandom.getInstance().getRandom();
foreach (double weight in weights)
{
if (random.NextDouble() < mutationRate)
{
newWeights.Add(generateRandomGene());
}
else
{
newWeights.Add(weight);
}
}
weights = newWeights;
}
private Chromosome selectRandomChromosome()
{
System.Random random = GlobalRandom.getInstance().getRandom();
double slice = totalFitness * random.NextDouble();
double accumulatedFitness = 0;
foreach (Chromosome chromosome in chromosomes)
{
accumulatedFitness += chromosome.getFitness();
if (accumulatedFitness >= slice)
{
return(chromosome);
}
}
return(chromosomes[chromosomes.Count - 1]);
}
private void crossover(Chromosome a, Chromosome b, List <Chromosome> population)
{
System.Random random = GlobalRandom.getInstance().getRandom();
if (random.NextDouble() > crossoverRate)
{
a.mutate(mutationRate, mutationPower);
b.mutate(mutationRate, mutationPower);
population.Add(a);
population.Add(b);
}
else
{
int crossoverIndex = random.Next(chromosomeLength - 1);
Chromosome child1 = a.crossover(b, crossoverIndex);
Chromosome child2 = b.crossover(a, crossoverIndex);
child1.mutate(mutationRate, mutationPower);
child2.mutate(mutationRate, mutationPower);
population.Add(child1);
population.Add(child2);
}
}
public static double generateRandomGene()
{
System.Random random = GlobalRandom.getInstance().getRandom();
return(random.NextDouble() - random.NextDouble());
}
