private GNNSpiecies GetRandomSpiecieByFitness()
{
GNNSpiecies famTree = spiecies[0];
float num = Random.Range(0, 1.0f);
if (fullSpieciesScore == 0)
{
foreach (GNNSpiecies sp in spiecies)
{
fullSpieciesScore += sp.score;
}
}
double cumulative = 0;
foreach (GNNSpiecies sp in spiecies)
{
cumulative += sp.score / fullSpieciesScore;
if (num < cumulative)
{
famTree = sp;
break;
}
}
return(famTree);
}
private void PopulateSimulations()
{
unisignedNet = new List <GNNNet>();
foreach (GNNSpiecies spiecie in spiecies)
{
int keep = (int)(spiecie.family.Count * 0.2f);
if (keep == 0)
{
keep = 1;
}
for (int i = 0; i < keep; i++)
{
unisignedNet.Add(spiecie.family[i]);
}
}
GNNNet[] parents = new GNNNet[2];
GNNNet child;
int freeSpaces = CONFIG.POPULATION - unisignedNet.Count;
for (int i = 0; i < freeSpaces; i++)
{
GNNSpiecies spiecie = GetRandomSpiecieByFitness();
parents[0] = spiecie.GetRandomNetByFitness();
parents[1] = spiecie.GetRandomNetByFitness();
if (parents[0].fitnessScore < parents[1].fitnessScore)
{
GNNNet tmp = parents[0];
parents[0] = parents[1];
parents[1] = tmp;
}
child = parents[0].Breed(parents[1]);
if (Random.Range(0, 101) < 50)
{
child.Mutation();
}
if (Random.Range(0, 101) < 10)
{
child.SafeMutation("node");
}
if (Random.Range(0, 101) < 10)
{
child.SafeMutation("link");
}
child.connections = child.connections.OrderBy(x => x.innov).ToList();
unisignedNet.Add(child);
}
}
