/// <summary>
/// Fitness of individual
/// </summary>
/// <returns>Fitness</returns>
internal int GetFitness()
{
if (_fitness == 0)
{
_fitness = FitnessCalc.GetFitness(this);
}
return(_fitness);
}
static void Main(string[] args)
{
FitnessCalc.SetSolution(Algorithm.solution);
Population myPop = new Population(Algorithm.populationSize, true);
int _generationCount = 0;
while (myPop.GetFittest().GetFitness() < FitnessCalc.GetMaxFitness())
{
_generationCount++;
Console.WriteLine(" Generation: "
+ _generationCount
+ ", \t Fittest score: "
+ myPop.GetFittest().GetFitness()
+ ", \t Genes of fittest: "
+ myPop.GetFittest().ToString());
myPop = Algorithm.EvolvePopulation(myPop);
}
Console.WriteLine();
Console.WriteLine("Solution Found!");
Console.WriteLine("Generation: " + _generationCount);
Console.WriteLine("MyPop Genes: " + myPop.GetFittest());
Console.WriteLine("Solution Genes: " + Algorithm.solution);
}