private static T Mutate <T, E>(T chromosome, MutationAlgorithm mode, Mutate <E> mutate) where T : IMutatable <E>
{
switch (mode)
{
case MutationAlgorithm.Chunk: return(MutateChunk(chromosome, mutate));
case MutationAlgorithm.Global: return(MutateGlobal(chromosome, mutate));
case MutationAlgorithm.Inversion: return(MutateInversion(chromosome, mutate));
default: return(MutateChunk <T, E>(chromosome, mutate));
}
}
public SimulationSettings(Objective objective)
{
this.Objective = objective;
this.KeepBestCreatures = Default.KeepBestCreatures;
this.SimulationTime = Default.SimulationTime;
this.PopulationSize = Default.PopulationSize;
this.SimulateInBatches = Default.SimulateInBatches;
this.BatchSize = Default.BatchSize;
this.MutationRate = Default.MutationRate;
this.SelectionAlgorithm = Default.SelectionAlgorithm;
this.RecombinationAlgorithm = Default.RecombinationAlgorithm;
this.MutationAlgorithm = Default.MutationAlgorithm;
}
public static float[] Mutate(float[] chromosome, MutationAlgorithm mode)
{
return(Mutation.Mutate <MutatableFloatArray, float>(new MutatableFloatArray(chromosome), mode, Mutate).Values);
}
public static StringBuilder Mutate(StringBuilder builder, MutationAlgorithm mode)
{
return(Mutation.Mutate <MutatableString, char>(new MutatableString(builder), mode, Mutate).Builder);
}
public static void SetMutation(float newMutationRate, MutationAlgorithm newMutationAlgorithm)
{
mutationRate = newMutationRate;
mutationAlgorithm = newMutationAlgorithm;
}
