private void ga_OnGenerationComplete(object sender, GaEventArgs e)
{
Console.WriteLine("---Generation Complete---");
Console.WriteLine("Gen: " + e.Generation);
Console.WriteLine("Fit: " + e.Population.MaximumFitness + " " + (e.Population.MaximumFitness - lastGenFitness));
lastGenFitness = e.Population.MaximumFitness;
//get the best solution
var chromosome = e.Population.GetTop(1)[0];
int numOfBytes = chromosome.ToBinaryString().Length / 8;
byte[] bytes = new byte[numOfBytes];
for (int i = 0; i < numOfBytes; i++)
{
bytes[i] = Convert.ToByte(chromosome.ToBinaryString().Substring(8 * i, 8), 2);
}
Equation eq = Decoder.decodeToEquation(bytes);
eq.fitness = e.Population.MaximumFitness;
Console.WriteLine("Eq : " + eq.ToString());
form.backgroundWorker1.ReportProgress(Convert.ToInt32(e.Population.MaximumFitness * 100), JsonConvert.SerializeObject(eq));
}
public static double calculateY(Equation eq, double x)
{
return(eq.d0 * Math.Pow((x + eq.d1), 4) + eq.d2 * Math.Pow((x + eq.d3), 3) + eq.d4 * Math.Pow((x + eq.d5), 2) + eq.d6 * Math.Pow((x + eq.d7), 1) + eq.d8);
}