public static double ComputeFitness(IInd inputInd)
{
double[] squaredErrors = new double[_dataSet.Count];
for (int i = 0; i < _dataSet.Count; i++)
{
double sP = 0;
var line = _dataSet[i];
for (int j = 0; j < line.Length-1; j++)
{
var dataValue = line[j];
var indValue = inputInd.getDoubleArray()[j];
sP += (dataValue*indValue);
}
squaredErrors[i] = Math.Pow((line[line.Length - 1] - sP), 2);
}
return squaredErrors.Sum();
}
public static IInd Mutation(IInd inpStringInd, double rate)
{
double[] values = inpStringInd.getDoubleArray();
for (int i = 0; i < values.Length; i++)
{
var r = Rand.NextDouble();
if (r <= rate)
{
values[i] = Rand.NextDouble() * (maxVal - minVal) + minVal;
}
}
IInd res = new DoubleInd(values);
return res;
}