private static IHyperHeuristic <IBitIndividual, BitArray, bool> CreateHeuristic(Heuristics?heuristic,
double learningRate = 0.05D,
double mutationRate = 2,
int observationPhase = 10,
double repairChance = 1,
double beta = 1.5,
int limitFactor = 1)
{
return(heuristic switch
{
Heuristics.Asymmetric => new SimpleHeuristic <IBitIndividual, BitArray, bool>(
PresetGenerator.Asymmetric(learningRate, observationPhase)),
Heuristics.Repair => new SimpleHeuristic <IBitIndividual, BitArray, bool>(
PresetGenerator.Repair((int)learningRate, repairChance)),
Heuristics.SingleEndogenous => new SimpleHeuristic <IBitIndividual, BitArray, bool>(
PresetGenerator.SingleEndogenous((int)learningRate)),
Heuristics.MultiEndogenous => new SimpleHeuristic <IBitIndividual, BitArray, bool>(
PresetGenerator.MultiEndogenous((int)learningRate)),
Heuristics.HeavyTail => new SimpleHeuristic <IBitIndividual, BitArray, bool>(
PresetGenerator.HeavyTail((int)learningRate, beta)),
Heuristics.StagnationDetection => PresetGenerator.StagnationDetection(mutationRate, limitFactor,
(int)learningRate),
_ => throw new InvalidEnumArgumentException()
});
