Epoch(Dictionary <int, float> fitnessScores)
{
if (fitnessScores.Count != m_Population.Count)
{
Debug.LogError("scores and genomes mismatch error. (" + fitnessScores.Count + " / " + m_Population.Count + ")");
return(null);
}
ResetAndKill();
for (int i = 0; i < m_Population.Count; i++)
{
CGenome genome = m_Population[i];
genome.SetFitness(fitnessScores[genome.ID()]);
}
SortAndRecord();
SpeciateGenomes();
CalculateSpawnLevels();
Debug.Log("best fitness last gen: " + m_Population[0].Fitness());
List <CGenome> newPopulation = new List <CGenome> ();
int numSpawned = SpawnLeaders(newPopulation);
for (int i = 0; i < m_vecSpecies.Count; i++)
{
CSpecies species = m_vecSpecies[i];
numSpawned = SpawnOffspring(species, numSpawned, newPopulation);
}
/*
* Tournament selection is used over the entire population if due
* to a underflow of the species amount to spawn the offspring
* doesn't fill the entire population additional children needs to
* created.
*/
if (numSpawned < _params.NumGenomesToSpawn)
{
int numMoreToSpawn = _params.NumGenomesToSpawn - numSpawned;
while (numMoreToSpawn-- > 0)
{
CGenome baby = new CGenome(TournamentSelection(m_PopSize / 5));
baby.SetID(++nextGenomeID);
newPopulation.Add(baby);
}
}
m_Population = newPopulation;
m_iGeneration++;
return(CreatePhenotypes());
}
