/// <summary>
/// creates a new population from seralization (returned from serializePopulation())
/// ancesstor is set to the first of the deserialized chromosomes
/// </summary>
/// <param name="popSerialization"></param>
public static MultiThreadEvaluationPopulation <T> desrializePopulation(
List <string> popSerialization,
ChromosomeGenerator deserializer,
IFitnessFunction fitnessFunction,
ISelectionMethod selectionMethod,
CustomThreadPool pool,
bool allowDuplicateChromosomes)
{
IChromosome ancestor = deserializer(popSerialization[0]);
MultiThreadEvaluationPopulation <T> newpop =
new MultiThreadEvaluationPopulation <T>(0, (T)ancestor, fitnessFunction, selectionMethod, pool, allowDuplicateChromosomes);
newpop.size = popSerialization.Count;
for (int cc = 0; cc < popSerialization.Count; ++cc)
{
newpop.AddChromosome(deserializer(popSerialization[cc]));
}
return(newpop);
}
public List <Chromosome> Cross(Chromosome chromosomeOne, Chromosome chromosomeTwo)
{
int numberOfGenes = chromosomeOne.Genes.Count;
List <Gene> childListOne = new List <Gene>();
List <Gene> childListTwo = new List <Gene>();
chromosomeOne.Genes.ForEach(g => childListOne.Add(GeneGenerator.GetSpecificGene(g.Bits)));
chromosomeTwo.Genes.ForEach(g => childListTwo.Add(GeneGenerator.GetSpecificGene(g.Bits)));
Chromosome childChromosomeOne = ChromosomeGenerator.GetSpecificChromosome(childListOne);
Chromosome childChromosomeTwo = ChromosomeGenerator.GetSpecificChromosome(childListTwo);
//List<double> probabilitiesForGenes = GetProbabilitiesForGenes(numberOfGenes);
for (int i = 0; i < numberOfGenes; i++)
{
int randomPlace = _rand.Next(0, childChromosomeOne.Genes[i].Bits.Length);
for (int j = 0; j < childChromosomeOne.Genes[i].Bits.Length; j++)
{
if (randomPlace > 0)
{
randomPlace -= 1;
}
else
{
int tempOne = childChromosomeOne.Genes[i].Bits[j];
int tempTwo = childChromosomeTwo.Genes[i].Bits[j];
if (tempOne != tempTwo)
{
childChromosomeOne.Genes[i].Bits[j] = tempTwo;
childChromosomeTwo.Genes[i].Bits[j] = tempOne;
}
}
}
}
List <Chromosome> list = new List <Chromosome>();
list.Add(childChromosomeOne);
list.Add(childChromosomeTwo);
return(list);
}
public Chromosome Mutate(Chromosome chromosome)
{
List <Gene> listOfGenes = new List <Gene>();
chromosome.Genes.ForEach(g => listOfGenes.Add(GeneGenerator.GetSpecificGene(g.Bits)));
Chromosome mutatedChromosome = ChromosomeGenerator.GetSpecificChromosome(listOfGenes);
int numberOfGenes = mutatedChromosome.Genes.Count;
for (int i = 0; i < numberOfGenes; i++)
{
int randomPlace = _rand.Next(0, mutatedChromosome.Genes[i].Bits.Length - 1);
if (mutatedChromosome.Genes[i].Bits[randomPlace] == 0)
{
mutatedChromosome.Genes[i].Bits[randomPlace] = 1;
}
else
{
mutatedChromosome.Genes[i].Bits[randomPlace] = 0;
}
}
return(mutatedChromosome);
}
