// Create a new generation
public void generate()
{
// Refill the population with children from the mating pool
for (int i = 0; i < population.Length; i++)
{
int a = (int)(Random.Range(0, matingPool.Count));
int b = (int)(Random.Range(0, matingPool.Count));
DNAchar partnerA = matingPool[a];
DNAchar partnerB = matingPool[b];
DNAchar child = partnerA.crossover(partnerB);
child.mutate(mutationRate);
population[i] = child;
}
generations++;
}
public void generate()
{
// Refill the population with children from the mating pool
for (int i = 0; i < population.Length; i++)
{
int a = (int)(Random.Range(0, matingPool.Count));
int b = (int)(Random.Range(0, matingPool.Count));
//exercise9.4 two unique 'parents'
if (a == b)
{
b = b + (b > 0.5 * matingPool.Count ? -1 : 1);
}
DNAchar partnerA = matingPool[a];
DNAchar partnerB = matingPool[b];
DNAchar child = partnerA.crossover(partnerB);
child.mutate(mutationRate);
population[i] = child;
}
generations++;
}