/**
* In NEAT, we provide the algorithm with a start individual from file,
* after read the start individual from file, we populate the subpopulation with
* mutated version of that template individual. The number of individual we create is
* determined by the "pop.subpop.X.size" parameter.
*/
public override Population InitialPopulation(IEvolutionState state, int thread)
{
// read in the start genome as the template
Population p = SetupPopulation(state, thread);
p.Populate(state, thread);
// go through all the population and populate the NEAT subpop
foreach (Subpopulation subpop in p.Subpops)
{
// NEAT uses a template to populate the population
// we first read it in to form the population, then mutate the links
if (subpop.Species is NEATSpecies)
{
NEATSpecies species = (NEATSpecies)subpop.Species;
IList <Individual> inds = subpop.Individuals;
// get the template
NEATIndividual templateInd = (NEATIndividual)inds[0];
// clear the individuals
inds.Clear();
// spawn the individuals with template
int initialSize = subpop.InitialSize;
for (int j = 0; j < initialSize; ++j)
{
NEATIndividual newInd = species.SpawnWithTemplate(state, species, thread, templateInd);
inds.Add(newInd);
}
// state.output.warnOnce("Template genome found, populate the subpopulation with template individual");
// templateInd.printIndividual(state, 0);
// set the next available innovation number and node id
species.SetInnovationNumber(templateInd.GetGeneInnovationNumberSup());
species.CurrNodeId = templateInd.GetNodeIdSup();
// speciate
foreach (Individual ind in inds)
{
species.Speciate(state, ind);
}
// switch to the new generation
foreach (NEATSubspecies s in species.Subspecies)
{
s.ToNewGeneration();
}
}
}
return(p);
}
/** Spawn a new individual with given individual as template. */
public NEATIndividual SpawnWithTemplate(IEvolutionState state, NEATSpecies species, int thread, NEATIndividual ind)
{
// we clone but do not reset the individual, since these individuals are
// made from template
NEATIndividual newInd = (NEATIndividual)ind.Clone();
// for first generation of population, we do not use the weight mutation
// power from the file
newInd.MutateLinkWeights(state, thread, species, 1.0, 1.0, NEATSpecies.MutationType.GAUSSIAN);
newInd.SetGeneration(state);
newInd.CreateNetwork(); // we create the network after we have the
// complete genome
return(newInd);
}
/**
* This method simply call breedNewPopulation method in NEATSpecies，where
* all the critical work in done.
*/
public override Population BreedPopulation(IEvolutionState state)
{
Population pop = state.Population;
for (int i = 0; i < pop.Subpops.Count; i++)
{
Subpopulation subpop = pop.Subpops[i];
if (!(subpop.Species is NEATSpecies)) // uh oh
{
state.Output.Fatal("To use NEATSpecies, subpopulation " + i
+ " must contain a NEATSpecies. But it contains a " + subpop.Species);
}
NEATSpecies species = (NEATSpecies)subpop.Species;
species.BreedNewPopulation(state, i, 0);
}
return(pop);
}
/**
* Where the actual reproduce is happening, it will grab the candidate
* parents, and calls the crossover or mutation method on these parents
* individuals.
*/
public bool Reproduce(IEvolutionState state, int thread, int subpop, IList <NEATSubspecies> sortedSubspecies)
{
if (ExpectedOffspring > 0 && Individuals.Count == 0)
{
state.Output.Fatal("Attempt to reproduce out of empty subspecies");
return(false);
}
if (ExpectedOffspring > state.Population.Subpops[subpop].InitialSize)
{
state.Output.Fatal("Attempt to reproduce too many individuals");
return(false);
}
NEATSpecies species = (NEATSpecies)state.Population.Subpops[subpop].Species;
// bestIndividual of the 'this' specie is the first element of the
// species
// note, we already sort the individuals based on the fitness (not sure
// if this is still correct to say)
NEATIndividual bestIndividual = (NEATIndividual)First();
// create the designated number of offspring for the Species one at a
// time
bool bestIndividualDone = false;
for (int i = 0; i < ExpectedOffspring; ++i)
{
NEATIndividual newInd;
if (bestIndividual.SuperChampionOffspring > 0)
{
newInd = (NEATIndividual)bestIndividual.Clone();
// Most super champion offspring will have their connection
// weights mutated only
// The last offspring will be an exact duplicate of this super
// champion
// Note: Super champion offspring only occur with stolen babies!
// Settings used for published experiments did not use this
if (bestIndividual.SuperChampionOffspring > 1)
{
if (state.Random[thread].NextBoolean(0.8) || species.MutateAddLinkProb.Equals(0.0))
{
newInd.MutateLinkWeights(state, thread, species, species.WeightMutationPower, 1.0,
NEATSpecies.MutationType.GAUSSIAN);
}
else
{
// Sometime we add a link to a superchamp
newInd.CreateNetwork(); // make sure we have the network
newInd.MutateAddLink(state, thread);
}
}
if (bestIndividual.SuperChampionOffspring == 1)
{
if (bestIndividual.PopChampion)
{
newInd.PopChampionChild = true;
newInd.HighFit = bestIndividual.Fitness.Value;
}
}
bestIndividual.SuperChampionOffspring--;
}
else if (!bestIndividualDone && ExpectedOffspring > 5)
{
newInd = (NEATIndividual)bestIndividual.Clone();
bestIndividualDone = true;
}
// Decide whether to mate or mutate
// If there is only one individual, then always mutate
else if (state.Random[thread].NextBoolean(species.MutateOnlyProb) || Individuals.Count == 1)
{
// Choose the random parent
int parentIndex = state.Random[thread].NextInt(Individuals.Count);
Individual parent = Individuals[parentIndex];
newInd = (NEATIndividual)parent.Clone();
newInd.DefaultMutate((EvolutionState)state, thread);
}
else // Otherwise we should mate
{
// random choose the first parent
int parentIndex = state.Random[thread].NextInt(Individuals.Count);
NEATIndividual firstParent = (NEATIndividual)Individuals[parentIndex];
NEATIndividual secondParent;
// Mate within subspecies, choose random second parent
if (state.Random[thread].NextBoolean(1.0 - species.InterspeciesMateRate))
{
parentIndex = state.Random[thread].NextInt(Individuals.Count);
secondParent = (NEATIndividual)Individuals[parentIndex];
}
else // Mate outside subspecies
{
// Select a random species
NEATSubspecies randomSubspecies = this;
// Give up if you cant find a different Species
int giveUp = 0;
while (randomSubspecies == this && giveUp < 5)
{
// Choose a random species tending towards better
// species
double value = state.Random[thread].NextGaussian() / 4;
if (value > 1.0)
{
value = 1.0;
}
// This tends to select better species
int upperBound = (int)Math.Floor(value * (sortedSubspecies.Count - 1.0) + 0.5);
int index = 0;
while (index < upperBound)
{
index++;
}
randomSubspecies = sortedSubspecies[index];
giveUp++;
}
secondParent = (NEATIndividual)randomSubspecies.First();
}
newInd = firstParent.Crossover(state, thread, secondParent);
// Determine whether to mutate the baby's Genome
// This is done randomly or if the parents are the same
// individual
if (state.Random[thread].NextBoolean(1.0 - species.MateOnlyProb) || firstParent == secondParent ||
species.Compatibility(firstParent, secondParent).Equals(0.0))
{
newInd.DefaultMutate((EvolutionState)state, thread);
}
}
newInd.SetGeneration(state);
newInd.CreateNetwork();
// Add the new individual to its proper subspecies
// this could create new subspecies
species.Speciate(state, newInd);
}
return(true);
}