void Start()
{
//We need to set a candidate solution (feel free ti change this if you want to)
FitnessCalc.SetSolution(new byte[] { 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1 });
//Create initial population, a population of 50 should be fine
Population myPop = new Population(50, true);
int generationCount = 0;
int bestFittness = 0;
while (myPop.GetFittest().GetFitness() < FitnessCalc.GetMaxFitness())
{
generationCount++;
if (myPop.GetFittest().GetFitness() > bestFittness)
{
Console.WriteLine("Generation: " + generationCount + " Fittest: " + myPop.GetFittest().GetFitness());
Console.WriteLine("Fittest: ");
foreach (byte b in myPop.GetFittest().GetGenes())
{
Console.Write(b);
}
Console.WriteLine("");
bestFittness = myPop.GetFittest().GetFitness();
}
myPop = Algorithm.EvolvePopulation(myPop);
}
Console.WriteLine("Solution found!");
Console.WriteLine("Generation: " + generationCount);
Console.WriteLine("Genes: ");
Console.WriteLine(myPop.GetFittest());
}
void CalculateFitness()
{
FitnessCalc?.Calculate(individuals);
}
