ResetAndKill()
{
m_dTotFitAdj = 0;
m_dAvFitAdj = 0;
// Purge the species that doesn't improve
for (int i = m_vecSpecies.Count - 1; i >= 0; i--)
{
CSpecies species = m_vecSpecies[i];
species.Purge();
if (species.GensNoImprovement() >
_params.NumGensAllowedNoImprovement &&
species.BestFitness() < m_dBestEverFitness)
{
m_vecSpecies.RemoveAt(i);
Debug.Log("killed species " + species.ID());
}
}
for (int i = 0; i < m_Population.Count; i++)
{
CGenome genome = m_Population[i];
genome.DeletePhenotype();
}
}
SpawnOffspring(CSpecies species, int numSpawned,
List <CGenome> newPopulation)
{
CGenome baby = null;
/*
* Prevent overflowing the total number of genomes spawned per population.
*/
if (numSpawned < _params.NumGenomesToSpawn)
{
// Exclude the leader from numToSpawn.
int numToSpawn = Mathf.RoundToInt(species.NumToSpawn()) - 1;
numToSpawn = Mathf.Min(numToSpawn, _params.NumGenomesToSpawn - numSpawned);
Debug.Log("spawning " + numToSpawn + " num indivudals for species " + species.ID() + ", best fitness: " + species.BestFitness());
while (numToSpawn-- > 0)
{
/*
* Unless we have >2 members in the species crossover
* can't be performed.
*/
if (species.NumMembers() == 1)
{
baby = new CGenome(species.Spawn());
}
else
{
CGenome mum = species.Spawn();
if (Random.value < _params.CrossoverRate)
{
CGenome dad = species.Spawn();
int numAttempts = 5;
// try to select a genome which is not the same as mum
while (mum.ID() == dad.ID() && numAttempts-- > 0)
{
dad = species.Spawn();
}
if (mum.ID() != dad.ID())
{
baby = Crossover(mum, dad);
}
else
{
if (Random.value < 0.5f)
{
baby = new CGenome(dad);
}
else
{
baby = new CGenome(mum);
}
}
}
else
{
baby = new CGenome(mum);
}
}
if (baby == null)
{
continue;
}
baby.SetID(++nextGenomeID);
MutateBaby(baby); //EDIT me
baby.SortGenes();
newPopulation.Add(baby);
if (numSpawned++ >= _params.NumGenomesToSpawn)
{
numToSpawn = 0;
break;
}
}
}
return(numSpawned);
}