public Population(Int32 populationSize, Boolean initialize, FitnessCalc fitnessCalc)
{
population = new Individual[populationSize];
if (initialize)
{
for (var i = 0; i < Size(); i++)
{
Individual newIndividual = new Individual(fitnessCalc);
newIndividual.GenerateIndividual();
SaveIndividual(i, newIndividual);
}
}
}
static void Main(string[] args)
{
Statistics stats = new Statistics();
FitnessCalc fitnesscalc = new FitnessCalc(stats);
Population myPop = new Population(50, true, fitnesscalc);
Algorithm algorithm = new Algorithm(fitnesscalc);
var generationCount = 0;
while (myPop.GetFittest().GetFitness() < FitnessCalc.GetMaxFitness())
{
generationCount++;
System.Diagnostics.Debug.WriteLine("Generation: " + generationCount + " Fittest: " + myPop.GetFittest().GetFitness());
myPop = algorithm.EvolvePopulation(myPop);
}
System.Diagnostics.Debug.WriteLine("Solution found!");
System.Diagnostics.Debug.WriteLine("Generation: " + generationCount);
System.Diagnostics.Debug.WriteLine("Genes:");
System.Diagnostics.Debug.WriteLine(myPop.GetFittest());
}
public Algorithm(FitnessCalc fitnessCalc)
{
this.fitnessCalc = fitnessCalc;
}
public Individual(FitnessCalc fitnessCalc)
{
this.fitnessCalc = fitnessCalc;
}
