/// <summary>
/// Mutates an individual by choosing an index at random and randomizing
/// its training point among possible individuals.
/// </summary>
protected internal override GAIndividual ReproduceByMutation(int inIndex)
{
FloatRegFitPredictionIndividual i = (FloatRegFitPredictionIndividual)ReproduceByClone(inIndex);
int index = Rng.Next(FloatRegFitPredictionIndividual._sampleSize);
i.SetSampleIndex(index, Rng.Next(_solutionGA._testCases.Count));
return(i);
}
protected internal override GAIndividual ReproduceByCrossover(int inIndex)
{
FloatRegFitPredictionIndividual a = (FloatRegFitPredictionIndividual)ReproduceByClone(inIndex);
FloatRegFitPredictionIndividual b = (FloatRegFitPredictionIndividual)TournamentSelect(_tournamentSize, inIndex);
// crossoverPoint is the first index of a that will be changed to the
// gene from b.
int crossoverPoint = Rng.Next(FloatRegFitPredictionIndividual._sampleSize - 1) + 1;
for (int i = crossoverPoint; i < FloatRegFitPredictionIndividual._sampleSize; i++)
{
a.SetSampleIndex(i, b.GetSampleIndex(i));
}
return(a);
}
