public void DoIteration()
{
int size = Individuals.Count;
for (var i = 0; i < size; i++)
{
for (var j = 0; j < i; j++)
{
Individuals.Add(GeneticIndividual.Crossover(Individuals[i], Individuals[j]));
}
for (var j = 0; j < 100; j++)
{
Individuals.Add(GeneticIndividual.Mutation(Individuals[i]));
}
}
Individuals = Individuals
.Where(x => !x.IsInvalid())
.OrderBy(x => x.Fitness())
.Reverse()
.Take(MaxSize)
.ToList();
}
public GeneticPopolation(CaptchaRecognizer recognizer, int maxSize)
{
_recognizer = recognizer;
MaxSize = maxSize;
var consecutiveInvalidCount = 0;
while (Individuals.Count < MaxSize)
{
var nxt = GeneticIndividual.Mutation(new GeneticIndividual(_recognizer, true));
if (!nxt.IsInvalid())
{
consecutiveInvalidCount = 0;
Individuals.Add(nxt);
}
else
{
consecutiveInvalidCount++;
if (consecutiveInvalidCount > MaxConsecutiveFailures)
{
throw new CantSplitDigitsException();
}
}
}
}