static void Main(string[] args)
{
Population p = new Population();
p.WriteNextGeneration();
int count = 0;
byte res = 0;
EquationGenome resGenome;
while (p.Converged() == false)
{
p.NextGeneration();
if (count % 50 == 0) {
p.WriteNextGeneration();
resGenome = (EquationGenome) p.GetNextGenerationBest();
res = resGenome.PerformCalculation(0, 1, 1, 1);
Console.WriteLine("<Loop> Result => {0}", res.ToString());
}
count++;
if (count > 40000) {
Console.WriteLine("---------------");
p.WriteNextGenerationBest();
Console.WriteLine("---------------");
break;
} // End of if
} // End of the while
Console.WriteLine("Done");
resGenome = (EquationGenome) p.GetNextGenerationBest();
res = resGenome.PerformCalculation(0, 1, 1, 1);
Console.WriteLine("Result => {0}", res.ToString());
}
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();
}