public void RunPopulation(object thePopulationObject)
{
Population thePopulation = (Population)thePopulationObject;
int NumberOfGenerations = 50000;
for (int i = 0; i < NumberOfGenerations; i++)
{
thePopulation.NextGeneration();
if (i % (NumberOfGenerations / 20) == 0)
{
thePopulation.WriteNextGenerationTop(10);
if (EquationGenome.PerfectFitness == true)
{
NumberOfGenerations = i;
break;
}
}
if (i % (NumberOfGenerations / 4) == 0)
{
EquationGenome[] EquationGenomesBest = (EquationGenome[])thePopulation.GetHighestScoreGenomes(Population.kNumberOfChoiceGenomes);
CopyHighestFitnessToOtherPopulations(EquationGenomesBest);
}
}
thePopulation.FinishedRunning = true;
thePopulation.CalculateFitnessForAll();
EquationGenome EquationGenomeToIllustrate = (EquationGenome)thePopulation.GetHighestScoreGenome();
Console.WriteLine("");
Console.WriteLine("Best Genome in {1} after {0} Generations", NumberOfGenerations, thePopulation.Name);
Console.WriteLine(EquationGenomeToIllustrate.ToString());
EquationGenomeToIllustrate = GetBestGeneFromAllPopulations();
Console.WriteLine("The next value in the series = {0}", EquationGenomeToIllustrate.CalculateNextValue());
Class1.EquationGenomeToIllustrate = EquationGenomeToIllustrate;
// Console.ReadLine();
}