AForge.Genetic.Population.AddChromosome C# (CSharp) Метод

        public void AddChromosome( IChromosome chromosome )
        {
            chromosome.Evaluate( fitnessFunction );
            population.Add( chromosome );
        }

        public override void takeTurn()
        {
            Board.useDictionary = true;
            bool tempRecording = GameController.recording;
            GameController.recording = false;
            fitness.cards = Board.current.viewableCards.FindAll(x => x.Deck != Card.Decks.nobles);
            var ga = new Population(popSize, new BuyOrderChromosome(2*fitness.cards.Count), fitness, new RankSelection(), random);
            lastBestChromosome = ga.population[0] as BuyOrderChromosome;
            ga.CrossoverRate = 0.5;

               //     if (!predicted.Equals(Board.current.PrevMove)) RecordHistory.current.record("!!! Prediction failed.");
               //     predicted = null;
            int i = 0;
            turnTimer.Restart();
            while (fitness.timesEvaluated < evaluations)//(turnTimer.Elapsed < Board.current.notCurrentPlayer.turnTimer.Elapsed && i < 40)
            {
                ga.RunEpoch();
                ga.AddChromosome(lastBestChromosome);
                if (ga.BestChromosome.Fitness > lastBestChromosome.Fitness) lastBestChromosome = ga.BestChromosome as BuyOrderChromosome;
                if (i % 6 == 0) Board.current.ResetDictionary();
                CONSOLE.Overwrite(6, "Generations " + i + " Evaluation " + fitness.timesEvaluated);
                RecordHistory.current.plot(i + "," + ga.FitnessMax + Environment.NewLine);
                if ((GameController.turn % 3 == 0) && (i < 4)) takeSnapshot(ga);
                //setData(i);
                i++;
            }
            fitness.timesEvaluated = 0;
            GameController.recording = tempRecording;
            if (lastBestChromosome == null) throw new Exception("Null chromosome after evaluation " + i);
            lastBestChromosome.Evaluate(fitness);
            Move m = fitness.simulateMyTurn(lastBestChromosome, Board.current).PrevMove;
            RecordHistory.current.record(this + " took move " + m);

            //foreach (BuyOrderChromosome p in chromosomes)
            //{
            //    RecordHistory.writeToFile("Chromosomes.txt", string.Format("{0:0.00}",p.Fitness) + "|" + p.depth + "|" + p.Value.String() + "|" + string.Format("{0:0.00}",p.parentFitness));
            //}
            //RecordHistory.writeToFile("Chromosomes.txt", "");
            //List<BuyOrderChromosome> chromosomes = BuyOrderChromosome.diversify(ga.population);
            //CONSOLE.Overwrite(12, "XOver Impnts over gen.: " + xoverimpnts.String());
            //CONSOLE.Overwrite(13, "Mut Impnts over gen.: " + mutimpnts.String());
            //CONSOLE.Overwrite(14, "Crossover Improvements: " + BuyOrderChromosome.crossOverImprovements + " / " + BuyOrderChromosome.totalCrossOvers);
            //CONSOLE.Overwrite(15, "Mutation Improvements: " + BuyOrderChromosome.mutationImprovements + " / " + BuyOrderChromosome.totalMutations);
            //CONSOLE.Overwrite(16, "Number of Diverse Chromosomes: " + chromosomes.Count);

            //totalChromosomes += ga.population.Count;
            //diverseChromosomes += chromosomes.Count;
            //CONSOLE.Overwrite(17, "Total diverse/chromosomes: " + ((double)diverseChromosomes / totalChromosomes));
            //for (int j = 0; j < chromosomes.Count; j++)
            //{
            //    CONSOLE.Overwrite(18 + j, chromosomes[j].Value.String() + "   depth: " +chromosomes[j].depth + "    fitness: " + chromosomes[j].Fitness);
            //}
            takeAction(m);
            Board.useDictionary = false;
        }