public Individual <uint[][]> Cross(Individual <uint[][]> a, Individual <uint[][]> b)
{
var child = new BinaryIndividual(a.Representation.Length, a.LowerBound, a.UpperBound, a.Precision);
var dimensions = a.Representation.GetLength(0);
var chromosomeLength = a.Representation[0].GetLength(0);
for (var i = 0; i < dimensions; i++)
{
var randomChromosome = GenerateRandomChromosome(chromosomeLength);
for (var j = 0; j < chromosomeLength; j++)
{
child.Representation[i][j] = a.Representation[i][j] * b.Representation[i][j] +
randomChromosome[j] * Xor(a.Representation[i][j],
b.Representation[i][j]);
}
}
return(child);
}
public Individual <uint[][]> Cross(Individual <uint[][]> a, Individual <uint[][]> b)
{
var child = new BinaryIndividual(a.Representation.Length, a.LowerBound, a.UpperBound, a.Precision);
var genes = a.Representation.Length;
var bits = b.Representation[0].Length;
for (var i = 0; i < genes; i++)
{
var parentGene1 = a.Representation[i];
var parentGene2 = b.Representation[i];
var crossoverPoint = Random.Next(bits - 1);
for (var bit = 0; bit < bits; bit++)
{
child.Representation[i][bit] = (bit <= crossoverPoint ? parentGene1[bit] : parentGene2[bit]);
}
}
return(child);
}
