public IBreedingPairSelector GetUsedBreedingPairSelector()
{
switch (breedingPairSelector)
{
case BreedingPairSelectorLoad.AlphaA:
rtnBreedingPairSelector = new PairSelectorAlphaA();
break;
case BreedingPairSelectorLoad.EqualPrince:
rtnBreedingPairSelector = new PairSelectorEqualPrince();
break;
case BreedingPairSelectorLoad.UnequalPrince:
rtnBreedingPairSelector = new PairSelectorUnequalPrince();
break;
case BreedingPairSelectorLoad.Equity:
rtnBreedingPairSelector = new PairSelectorEquity();
break;
case BreedingPairSelectorLoad.Fittest:
rtnBreedingPairSelector = new PairSelectorFittest();
break;
case BreedingPairSelectorLoad.NarrowRandom:
rtnBreedingPairSelector = new PairSelectorNarrowRandom();
break;
case BreedingPairSelectorLoad.Sequential:
rtnBreedingPairSelector = new PairSelectorSequential();
break;
default:
rtnBreedingPairSelector = new PairSelectorSequential();
break;
}
return(rtnBreedingPairSelector);
}
//Chromosome (string): Solution
//Gene (bits): Part of solution
//Locus: Poisition of gene
//Alleles: Value of gene
//Phenotype: Decoded solution
//Genotype: Encoded solution
public static List <T> Evolve <T>(List <T> pPopulation, int pEvolvedPopulationSize, IMatingPoolSelector pPoolSelector, IBreedingPairSelector pPairSelector, ICrossoverOperator pOperator, IMutator pMutator) where T : GeneticEntity
{
List <T> pooledPop = new List <T>();
List <T> pairedPop = new List <T>();
List <T> crossedPop = new List <T>();
List <T> mutatedPop = new List <T>();
int stepCount = 1;
//Select Pool
pooledPop = pPoolSelector.SelectPool(pPopulation, pEvolvedPopulationSize);
OutputStep(pooledPop, stepCount, "pooling");
stepCount++;
//Select Pairs
pairedPop = pPairSelector.SelectPairs(pooledPop);
OutputStep(pairedPop, stepCount, "pairing");
stepCount++;
//Crossover
crossedPop = pOperator.Crossover(pairedPop);
OutputStep(crossedPop, stepCount, "crossing");
stepCount++;
//Mutate
mutatedPop = pMutator.Mutate(crossedPop);
OutputStep(pooledPop, stepCount, "mutating");
stepCount++;
return(mutatedPop);
}
