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());
}
SpawnLeaders(List <CGenome> newPopulation)
{
for (int i = 0; i < m_vecSpecies.Count; i++)
{
CSpecies species = m_vecSpecies[i];
CGenome baby = species.Leader();
Debug.Log("spawning leader (" + baby.Fitness() + "): " + baby.ID() + " for " + species.ID());
newPopulation.Add(baby);
}
return(newPopulation.Count);
}
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);
}