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 void printDNA(Elitism e)
{
int i = 0;
Console.WriteLine("DNA of best seed");
e.best_seed.DNA.ForEach(dna => {
Console.WriteLine("[" + i + "] >>> " + dna);
i++;
});
}
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);
}
}
public IEnumerable <Individual> Apply(IEnumerable <Individual> source)
{
var prms = ParamsProvider(this);
var inp = source.ToArray();
var elite = Elitism.SelectElite(inp, prms.ElitismFraction).ToArray();
if (elite.Length % 2 != 0)
{
throw new InvalidOperationException("Elitism fraction must result in an even number of individuals");
}
var selected = Selection.Roulette(inp, inp.Length - elite.Length);
var crossed = Crossover.UniformCrossoverPop(selected);
var mutated = Mutation.MutatePop(crossed, prms.MutationFraction, RandomValueProvider);
var retPop = elite.Concat(mutated).ToArray();
history.Add(CalcStats(prms, inp, retPop));
return(retPop);
}
public void printSSEperIteration(int iteration, Elitism e)
{
Console.WriteLine(" | SSE of Iteration " + iteration + ": " + e.best_seed.SSE);
Console.WriteLine(" __________________");
}
//private Elitism e = new Elitism();
public void printBestSSE(Elitism e)
{
Console.WriteLine(" | The individual with the best SSE: " + e.best_seed.SSE);
Console.WriteLine(" _______________________________________________________________");
}