private float FitnessFunction(int index)
{
float score = 0;
Andre.AI.DNA <float> dna = ga.Population[index];
score = SpeedyGeneration[index].DistanceTraveled;
score = (Mathf.Pow(2, score) - 1) / (2 - 1);
return(score);
}
private float FitnessFunction(int index)
{
float score = 0;
Andre.AI.DNA <char> dna = ga.Population[index];
for (int i = 0; i < dna.Genes.Length; i++)
{
if (dna.Genes[i] == targetString[i])
{
score += 1;
}
}
score /= targetString.Length;
score = (Mathf.Pow(2, score) - 1) / (2 - 1);
return(score);
}
private bool Mutate(Andre.AI.DNA <float> child, float MutationRate)
{
double PositiveOrNegative = random.NextDouble();
for (int i = 0; i < 3; i++)
{
if (random.NextDouble() < mutationRate)
{
child.Genes[i] += (float)random.NextDouble() * (PositiveOrNegative >= 0.5 ? 1 : -1);
switch (i)
{
case 0:
if (child.Genes[i] <= 0)
{
child.Genes[i] = 0.01f;
}
break;
case 1:
if (child.Genes[i] <= 0.5f)
{
child.Genes[i] = 0.5f;
}
break;
case 2:
if (child.Genes[i] <= 0.5f)
{
child.Genes[i] = 0.5f;
}
break;
default:
break;
}
}
}
return(true);
}
