public static void MutationFunc(IIndividual<Wrapper<MyValuableClass>> individual, IGAconfiguration gaConfiguration)
{
foreach (var gene in individual.Chromosome.Genes)
{
if (gaConfiguration.MutationProbability != null && GAUtils.GetProbability(gaConfiguration.MutationProbability.Value))
{
gene.Value.MyVal += GAUtils.GetNextDouble() > 0.5 ? -1 : 1;
}
}
}
public static bool StopCondition(IStatistics stat, IGAconfiguration gaConfigs)
{
if (stat.CurrentIteration < gaConfigs.IterationsNumber)
{
return false;
}
else
{
return true;
}
}
public static IList<IIndividual<Wrapper<MyValuableClass>>> SelectionFunc(IPopulation<Wrapper<MyValuableClass>> population, IGAconfiguration gaConfigs)
{
IList<IIndividual<Wrapper<MyValuableClass>>> list = new List<IIndividual<Wrapper<MyValuableClass>>>();
int individualsCountToSelect = population.Individuals.Count;
if (gaConfigs.ElitismPercentage != null)
{
int populationSize = population.Individuals.Count;
int eliteIndCount = (int)(populationSize * gaConfigs.ElitismPercentage);
individualsCountToSelect = populationSize - eliteIndCount;
}
while (list.Count < individualsCountToSelect)
{
var ind = GAUtils.ProvideTournamentSelection(2, population);
list.Add(ind);
}
return list;
}
private void MutationFunc(IIndividual<Wrapper<LearningObject>> individual, IGAconfiguration gaConfiguration)
{
if (gaConfiguration.MutationProbability != null)
{
foreach (var gene in individual.Chromosome.Genes)
{
if (GAUtils.GetProbability(gaConfiguration.MutationProbability.Value))
{
gene.Used = !gene.Used;
}
}
for (int i = 0; i < individual.Chromosome.Genes.Count; i++)
{
if (GAUtils.GetProbability(gaConfiguration.MutationProbability.Value))
{
int newPos = GAUtils.GetRandom(0, individual.Chromosome.Genes.Count);
if (i != newPos)
{
var tmpVal = individual.Chromosome.Genes[newPos];
individual.Chromosome.Genes[newPos] = individual.Chromosome.Genes[i];
individual.Chromosome.Genes[i] = tmpVal;
}
}
}
}
}
