public static void RunExampleOnce()
{
List <Person> population = new List <Person>();
List <double> coefficient = new List <double>();
List <CoupleParent> coupleParents = new List <CoupleParent>();
List <string> crossoverChildren = new List <string>();
FileReader.CoefficientRead(coefficient);
FileReader.ReadFile(population, 5);
Fitness.CalculateSSE(population);
Fitness.CalculateCoefSSE(coefficient, population);
//Stap 1 t/m 5
RouletteWheel.DoCalculation(population);
//Crossover Methods
//SinglePointCrossover.DoCrossover(coupleParents, crossoverChildren);
TwoPointCrossover.DoCrossover(coupleParents, crossoverChildren, crossOverPercentage, population);
//Mutation
Mutation.MutationChildren(crossoverChildren);
//Recalculate Fitness for Childrens
List <Person> childrenPopulation = Fitness.CalculateCoefSSEChild(coefficient, crossoverChildren);
//Elitism best solution
var bestPerson = Elitism.ChildHighestFit(childrenPopulation, crossOverPercentage);
Console.ReadKey();
}
public static void RunElitism(int idx, List <Person> childrenPopulation)
{
if (idx > 0)
{
var blabla = Elitism.ChildHighestFit(childrenPopulation, crossOverPercentage);
if (bestPerson.NormalizedFitness != blabla.NormalizedFitness)
{
bestPerson = blabla;
}
}
else if (bestPerson == null)
{
bestPerson = Elitism.ChildHighestFit(childrenPopulation, crossOverPercentage);
}
}