public static Genome crossOver(Genome g1, Genome g2)
{
Neat neat = g1.Neat;
Genome genome = neat.empty_genome();
int index_g1 = 0;
int index_g2 = 0;
while (index_g1 < g1.Connections.size() && index_g2 < g2.Connections.size())
{
ConnectionGene gene1 = g1.Connections.get(index_g1);
ConnectionGene gene2 = g2.Connections.get(index_g2);
int in1 = gene1.Innovation_number;
int in2 = gene2.Innovation_number;
if (in1 == in2)
{
if (GlobalRandom.NextDouble > 0.5)
{
genome.Connections.add(Neat.getConnection(gene1));
}
else
{
genome.Connections.add(Neat.getConnection(gene2));
}
index_g1++;
index_g2++;
}
else if (in1 > in2)
{
index_g2++;
}
else
{
genome.Connections.add(Neat.getConnection(gene1));
index_g1++;
}
}
while (index_g1 < g1.Connections.size())
{
ConnectionGene gene1 = g1.Connections.get(index_g1);
genome.Connections.add(Neat.getConnection(gene1));
index_g1++;
}
foreach (ConnectionGene c in genome.Connections.Data)
{
genome.Nodes.add(c.From);
genome.Nodes.add(c.To);
}
return(genome);
}
public virtual void mutate_link()
{
for (int i = 0; i < 100; i++)
{
NodeGene a = nodes.random_element();
NodeGene b = nodes.random_element();
if (a == null || b == null)
{
continue;
}
if (a.X == b.X)
{
continue;
}
ConnectionGene con;
if (a.X < b.X)
{
con = new ConnectionGene(a, b);
}
else
{
con = new ConnectionGene(b, a);
}
if (connections.contains(con))
{
continue;
}
con = neat.getConnection(con.From, con.To);
con.Weight = (GlobalRandom.NextDouble * 2 - 1) * neat.WEIGHT_RANDOM_STRENGTH;
data_structures.RandomHashSet <Gene> hi = new data_structures.RandomHashSet <Gene>();
hi.add_sorted(connections, con);
return;
}
}
