def fill_values_for_charts(self, individuals, generation_number):
evaluated_values = Population.evaluate_individuals(individuals, self.fitness_function)[:, 1]
best_val = np.min(evaluated_values)
if generation_number > 0 and self.elite_strategy_num > 0:
if best_val < self.searching_value(self.bests_values):
self.best_individual_generation = generation_number
self.bests_values.append(best_val)
self.mean_values.append(np.mean(evaluated_values))
self.sd_values.append(np.std(evaluated_values))
