Population Step(Population generation)
{
//Extensions.WriteColorLine(ConsoleColor.Green, "======={0} Step======", step++);
//Console.WriteLine(generation.ToString(fitness));
//Console.WriteLine("Population fitness sum: {0}",
// generation.GetPopulationFitnessSum(fitness));
var np = new Population { Individuals = new Roulette(fitness, generation).SpinTheWheel(populationSize) };
//Console.WriteLine(Roulette.ProbabilityToString(generation, fitness));
//Console.WriteLine("Selected for reproducing");
//Console.WriteLine(np.ToString(fitness));
var h = new Harem(fitness, np);
var newGeneration = h.Reproduce();
//Console.WriteLine("After reproduction");
//Console.WriteLine(newGeneration.ToString());
//Console.WriteLine("After mutation");
new Mutator(MachinesCount).Mutate(ref newGeneration);
//Console.WriteLine(newGeneration.ToString());
#if STORE_BEST_SO_FAR
var sorted = newGeneration.Individuals.OrderBy(ComputeSchedulingTime);
var currentBest = sorted.First();
if (ComputeSchedulingTime(currentBest) < ComputeSchedulingTime(bestSoFar))
{
bestSoFar = currentBest;
}
#endif
#if LOG_PLOT
file.WriteLine("{2} {0} {1}", newGeneration.Individuals.Average(x => ComputeSchedulingTime(x)),
newGeneration.Individuals.Min(x => ComputeSchedulingTime(x)), step);
file.Flush();
#endif
return newGeneration;
}
