static void Main(string[] args)
{
DoubleArrayChromosome weightValues = new DoubleArrayChromosome(new WeightRandomGenerator(), new WeightRandomGenerator(), new WeightRandomGenerator(), 6);
Population weightPop = new Population(40, weightValues, new AriesFF(), new EliteSelection());
int counter = 0;
bool stopEvo = false;
AriesFF fintessEval = new AriesFF();
double error = 0;
while (!stopEvo)
{
weightPop.RunEpoch();
counter++;
IChromosome best = weightPop.BestChromosome;
error = fintessEval.Evaluate(best);
stopEvo = counter > 1000 || error < 0.12;
}
Console.WriteLine("Stopped after " + counter.ToString());
DoubleArrayChromosome solution = (DoubleArrayChromosome)weightPop.BestChromosome;
Console.WriteLine(solution.ToString());
Console.ReadKey();
}
public double Evaluate(IChromosome chromosome)
{
DoubleArrayChromosome doubleChromosome = (DoubleArrayChromosome)chromosome;
string[] s_genes = doubleChromosome.ToString().Split();
double[] d_genes = new double[s_genes.Length];
double sum = 0;
for (int i = 0; i < d_genes.Length; i++)
{
d_genes[i] = Double.Parse(s_genes[i]);
}
double error = xorSim.getError(d_genes);
if (error == 0)
{
return(0);
}
else
{
return(1 / xorSim.getError(d_genes));
}
}
