/// <summary>
/// genetic Average value
/// </summary>
/// <param name="gen">another genetic</param>
private static Genetic[] Cross(int[,] Gen, int[,] gen)
{
int pos = rand.Next(0, Width) + rand.Next(0, Height) * Width;
Genetic[] result = new Genetic[2]
{
new Genetic(),
new Genetic()
};
CrossType t = Global.CrossType;
if (Global.CrossType == CrossType.Random)
{
if (rand.NextDouble() > 0.5)
{
t = CrossType.Vertical;
}
else
{
t = CrossType.Horizontal;
}
}
for (int h = 0; h < Height; h++)
{
for (int w = 0; w < Width; w++)
{
int a = h, b = w;
if (t == CrossType.Vertical)
{
a = w;
b = h;
}
if (h * Width + w < pos)
{
result[0].Gen[a, b] = Gen[a, b];
result[1].Gen[a, b] = gen[a, b];
}
else
{
result[1].Gen[a, b] = Gen[a, b];
result[0].Gen[a, b] = gen[a, b];
}
}
}
return(result);
}
public static long DistanceScore(Genetic Gen, Genetic gen)
{
return(DistanceScore(Gen.Gen, gen.Gen));
}
public Genetic(Genetic gen)
{
Gen = gen.Gen.Clone() as int[, ];
}
public static Genetic[] Cross(Genetic Gen, Genetic gen)
{
return(Cross(Gen.Gen, gen.Gen));
}
