public static Individual RandomIndividual(FitnessEstimator fe, double density, EvolutionParams prms)
{
Individual res = null;
do
try
{
List<int> r = new List<int>();
for (int i = 0; i < fe.n; ++i)
if (prms.rand.NextDouble() < density)
r.Add(i);
res = new Individual(r, fe, prms);
}
catch (CalculationException e) { }
while (res == null);
return res;
}
public Population(FitnessEstimator fe, int population_size,
double recombination_rate, double mut_rate_act, double mut_rate_deact, double start_density)
{
this.population_size = population_size;
this.recombination_rate = recombination_rate;
EvolutionParams prms = new EvolutionParams(mut_rate_act, mut_rate_deact);
population = new SortedList<double, Individual>();
Individual temp;
for (int i = 0; i < population_size; ++i)
{
temp = Individual.RandomIndividual(fe, start_density, prms);
population.Add(temp.Fitness, temp);
}
}
public Individual(List<int> genes, FitnessEstimator fe, EvolutionParams prms)
{
this.fe = fe;
this.prms = prms;
this.fitness = fe.CalculateFitness(genes, out this.max, out this.genes, out this.too_many_genes);
}
