/** Assign the individual into a species, if not found, create a new one */
public void Speciate(IEvolutionState state, Individual ind)
{
NEATIndividual neatInd = (NEATIndividual)ind;
// For each individual, search for a subspecies it is compatible to
if (Subspecies.Count == 0) // not subspecies available, create the
// first species
{
NEATSubspecies newSubspecies = (NEATSubspecies)SubspeciesPrototype.EmptyClone();
newSubspecies.Reset();
Subspecies.Add(newSubspecies);
newSubspecies.AddNewGenIndividual(neatInd);
}
else
{
bool found = false;
foreach (NEATSubspecies s in Subspecies)
{
NEATIndividual represent = (NEATIndividual)s.NewGenerationFirst();
if (represent == null)
{
represent = (NEATIndividual)s.First();
}
// found compatible subspecies, add this individual to it
if (Compatibility(neatInd, represent) < CompatThreshold)
{
s.AddNewGenIndividual(neatInd);
found = true; // change flag
break; // search is over, quit loop
}
}
// if we didn't find a match, create a new subspecies
if (!found)
{
NEATSubspecies newSubspecies = (NEATSubspecies)SubspeciesPrototype.EmptyClone();
newSubspecies.Reset();
Subspecies.Add(newSubspecies);
newSubspecies.AddNewGenIndividual(neatInd);
}
}
}
public override void Setup(IEvolutionState state, IParameter paramBase)
{
IParameter def = DefaultBase;
NodePrototype = (NEATNode)state.Parameters.GetInstanceForParameterEq(paramBase.Push(P_NODE),
def.Push(P_NODE),
typeof(NEATNode));
NodePrototype.Setup(state, paramBase.Push(P_NODE));
SubspeciesPrototype = (NEATSubspecies)state.Parameters.GetInstanceForParameterEq(
paramBase.Push(P_SUBSPECIES),
def.Push(P_SUBSPECIES), typeof(NEATSubspecies));
SubspeciesPrototype.Setup(state, paramBase.Push(P_SUBSPECIES));
InnovationPrototype = (NEATInnovation)state.Parameters.GetInstanceForParameterEq(
paramBase.Push(P_INNOVATION),
def.Push(P_INNOVATION), typeof(NEATInnovation));
SubspeciesPrototype.Setup(state, paramBase.Push(P_INNOVATION));
NetworkPrototype = (NEATNetwork)state.Parameters.GetInstanceForParameterEq(paramBase.Push(P_NETWORK),
def.Push(P_NETWORK), typeof(NEATNetwork));
NetworkPrototype.Setup(state, paramBase.Push(P_NETWORK));
// make sure that super.setup is done AFTER we've loaded our gene
// prototype.
base.Setup(state, paramBase);
Subspecies = new List <NEATSubspecies>();
Innovations = new Dictionary <NEATInnovation, NEATInnovation>();
HighestFitness = 0;
HighestLastChanged = 0;
// Load parameters from the parameter file
// Load parameters from the parameter file
WeightMutationPower =
state.Parameters.GetDouble(paramBase.Push(P_WEIGHT_MUT_POWER), def.Push(P_WEIGHT_MUT_POWER), 2.5);
DisjointCoeff =
state.Parameters.GetDouble(paramBase.Push(P_DISJOINT_COEFF), def.Push(P_DISJOINT_COEFF), 1.0);
ExcessCoeff = state.Parameters.GetDouble(paramBase.Push(P_EXCESS_COEFF), def.Push(P_EXCESS_COEFF), 1.0);
MutDiffCoeff =
state.Parameters.GetDouble(paramBase.Push(P_MUT_DIFF_COEFF), def.Push(P_MUT_DIFF_COEFF), 0.4);
CompatThreshold =
state.Parameters.GetDouble(paramBase.Push(P_COMPAT_THRESH), def.Push(P_COMPAT_THRESH), 3.0);
AgeSignificance =
state.Parameters.GetDouble(paramBase.Push(P_AGE_SIGNIFICANCE), def.Push(P_AGE_SIGNIFICANCE), 1.0);
SurvivalThreshold =
state.Parameters.GetDouble(paramBase.Push(P_SURVIVIAL_THRESH), def.Push(P_SURVIVIAL_THRESH));
MutateOnlyProb = BoundProbabilityParameter(state, paramBase, P_MUTATE_ONLY_PROB, "Mutate only probability");
MutateLinkWeightsProb =
BoundProbabilityParameter(state, paramBase, P_MUTATE_LINK_WEIGHT_PROB,
"Mutate Link Weight probability");
MutateToggleEnableProb =
BoundProbabilityParameter(state, paramBase, P_MUTATE_TOGGLE_ENABLE_PROB,
"Mutate Toggle Enable probability");
MutateGeneReenableProb =
BoundProbabilityParameter(state, paramBase, P_MUTATE_GENE_REENABLE_PROB, "Mutate Gene Reenable");
MutateAddNodeProb =
BoundProbabilityParameter(state, paramBase, P_MUTATE_ADD_NODE_PROB, "Mutate Add Node probability");
MutateAddLinkProb =
BoundProbabilityParameter(state, paramBase, P_MUTATE_ADD_LINK_PROB, "Mutate Add Link probability");
InterspeciesMateRate =
BoundProbabilityParameter(state, paramBase, P_INTERSPECIES_MATE_PROB, "Interspecies Mate probability");
MateMultipointProb =
BoundProbabilityParameter(state, paramBase, P_MATE_MULTIPOINT_PROB, "Mate Multipoint probability");
MateMultipointAvgProb = BoundProbabilityParameter(state, paramBase, P_MATE_MULTIPOINT_AVG_PROB,
"Mate Multipoint Average probability");
MateSinglepointProb =
BoundProbabilityParameter(state, paramBase, P_MATE_SINGLE_POINT_PROB, "Single Point probability");
MateOnlyProb = BoundProbabilityParameter(state, paramBase, P_MATE_ONLY_PROB, "Mate Only probability");
RecurOnlyProb =
BoundProbabilityParameter(state, paramBase, P_RECUR_ONLY_PROB, "Recurrent Only probability");
DropoffAge = state.Parameters.GetInt(paramBase.Push(P_DROPOFF_AGE), def.Push(P_DROPOFF_AGE), 0);
NewLinkTries = state.Parameters.GetInt(paramBase.Push(P_NEW_LINK_TRIES), def.Push(P_NEW_LINK_TRIES), 1);
NewNodeTries = state.Parameters.GetInt(paramBase.Push(P_NEW_NODE_TRIES), def.Push(P_NEW_NODE_TRIES), 1);
BabiesStolen = state.Parameters.GetInt(paramBase.Push(P_BABIES_STOLEN), def.Push(P_BABIES_STOLEN), 0);
MaxNetworkDepth = state.Parameters.GetInt(paramBase.Push(P_MAX_NETWORK_DEPTH),
paramBase.Push(P_MAX_NETWORK_DEPTH), 30);
AddNodeMaxGenomeLength = state.Parameters.GetInt(paramBase.Push(P_ADD_NODE_MAX_GENOME_LENGTH),
paramBase.Push(P_ADD_NODE_MAX_GENOME_LENGTH), 15);
}
