Evoluton Strategy

 public void ES()
        {
            double sigma = 0.5;
            double c = 0.817;
            // loop na pocet generaci
            for (int i = 0; i < _numOfGens; i++)
            {
                // vytvoreni potomku
                 List<Specimen> new_pop = new List<Specimen>();
                int numOfBetterOffsprings = 0;

                foreach (var s in _population)
                {
                    var news = s.Clone();
                    for (int d = 0; d < news.Dimension; d++)
                    {
                        news.Data[d] += (float)MathNet.Numerics.Distributions.Normal.Sample(0, sigma);
                    }
                  // porovnani fitness a pridani + hlidani lepsich
                    if(news.GetFitness()<s.GetFitness())
                    {
                        new_pop.Add(news);
                        numOfBetterOffsprings++;
                    }
                    else
                    {
                        new_pop.Add(s);
                    }
                }
                var div = (double)numOfBetterOffsprings / _population.Count;
                if (div < 1 / 5 || numOfBetterOffsprings==0)
                {
                    sigma *= c;
                }
                if (div > 1 / 5)
                {
                    sigma /= c;

                }

                var united = _population.Concat(new_pop);
                united = united.OrderBy(x => x.GetFitness());
                _population = united.Take(populationSize).ToList();
                Populations.Add(_population.ToList());
            }
        }