public Individual crossover(IReadOnlyIndividual i)
{
int randInt = _rnd.Next(0, this.Genes.Length);
string lhs = this.Genes.Substring(0, randInt);
string rhs = i.Genes.Substring(randInt);
Individual child = new Individual(lhs + rhs);
return(child);
}
public double CalcFitness(IReadOnlyIndividual indiv, IReadOnlyIndividual goal)
{
double fitness = 0;
int len = goal.Genes.Length;
//if (indiv.Genes.Length != len) return -1;
for (int i = 0; i < len; ++i)
{
if (i > indiv.Genes.Length - 1)
{
break;
}
if (indiv.Genes[i] == goal.Genes[i])
{
++fitness;
}
}
fitness = fitness / (double)len;
return(fitness);
}
