public async Task <bool[]> EvaluateFitness(double[] parentWeights, double mutationRate)
{
WeightsGenerator wg = new WeightsGenerator();
bool[] shouldKeep = new bool[parentWeights.Length];
double[] k = await wg.CreateRandomWeightsPositive(1);
for (int i = 0; i < parentWeights.Length; i++)
{
if (k[0] > mutationRate) //Change this value to determine evolution rate.
{
shouldKeep[i] = true;
}
else
{
shouldKeep[i] = false;
}
}
return(shouldKeep);
}
public Task <double[]> CrossOverAndMutation(bool[] evaluateFitnessResult, double[] weights)
{
WeightsGenerator wg = new WeightsGenerator();
double[] childWeights = new double[weights.Length];
Parallel.For(0, weights.Length, async i =>
{
if (evaluateFitnessResult[i])
{
childWeights[i] = weights[i];
}
else
{
double[] l = await wg.CreateRandomWeightsPositive(1);
childWeights[i] = l[0];
}
});
return(Task.FromResult(childWeights));
}
