public Genome()
{
var rand = GAResolver.Resolve <IRandom>();
var bgen = new byte[12];
rand.NextBytes(bgen);
Gens = bgen.Select(e => (int)e).ToArray();
}
public GA()
{
Mutate = GAResolver.Resolve <IMutate>();
Crossover = GAResolver.Resolve <ICrossover>();
Fitness = GAResolver.Resolve <IFitness>();
Selection = GAResolver.Resolve <ISelection>();
Rand = GAResolver.Resolve <IRandom>();
Population = new List <IGenome>();
Adaptation = new Adaptation();
for (int i = 0; i < GASettings.PopulationSize; i++)
{
Population.Add(new Genome());
}
}
