public void DecreaseBird(NeuralNetwork net, double fitness)
{
alive--;
if (fitness >= fitnessThreshold)
{
//this is one of the best networks
bestNetworks.Add(net);
}
else
{
if (fitness >= minAcceptedFitness || alive == 0 || alive == 1 || alive == 2)
{
current.Add(net);
}
}
if (alive == 0)
{
GAController best = new GAController(bestNetworks);
GAController cur = new GAController(current);
// we need to start a new generation
generation++;
gen.text = $"Generation: {generation}";
obstaclesSpawner.ClearObstacles();
int should_spawn = populationPerGeneration;
if (bestNetworks.Count >= 2)
{
// 80% of the population
int p = (int)(0.8f * should_spawn);
should_spawn -= p;
for (int i = 0; i < p; i++)
{
NeuralNetwork network = best.CrossOver();
Spawn(network);
}
Debug.Log("Spawned From The Best:" + p);
}
if (current.Count >= 2)
{
int p = (int)(0.2f * should_spawn);
should_spawn -= p;
for (int i = 0; i < p; i++)
{
NeuralNetwork network = cur.CrossOver();
Spawn(network);
}
Debug.Log("Spawned From The Current :" + p);
}
Spawn(should_spawn);
Debug.Log("Spawned Randomly:" + should_spawn);
current.Clear();
}
}
