public void init_first(Knowlege_base_ARules base_rule, Random rand, Individ.Type_init prm_init)
{
bool the_first = true;
int count_ready = 0;
do
{
the_popualate.Add(new Individ(base_rule, Data, count_vars, the_first, rand, prm_init));
count_ready++;
the_first = false;
} while (count_ready < size_populate);
}
public override Fuzzy_system.Approx_Singletone.a_Fuzzy_System TuneUpFuzzySystem(Fuzzy_system.Approx_Singletone.a_Fuzzy_System Approximate, Abstract_learn_algorithm_conf conf)
{
count_populate = ((Es_Config)conf).Особей_в_популяции;
count_child = ((Es_Config)conf).Потомки;
count_iterate = ((Es_Config)conf).Количество_итераций;
coef_t1 = ((Es_Config)conf).Коэффициент_t1;
coef_t2 = ((Es_Config)conf).Коэффициент_t2;
param_crossover = ((Es_Config)conf).Вероятность_скрещивания;
alg_cross = ((Es_Config)conf).Алгоритм_Скрещивания;
type_init = ((Es_Config)conf).Алгоритм_Инициализации;
count_Multipoint = ((Es_Config)conf).Точек_Скрещивания;
type_mutate = ((Es_Config)conf).Алгоритм_Мутации;
b_ro = ((Es_Config)conf).Изменение_РО;
a_Fuzzy_System result = Approximate;
Population main_pop = new Population(count_populate, count_child, result.Count_Vars, result.Learn_Samples_set);
main_pop.init_first(result.Rulles_Database_Set[0], rand, type_init);
for (int i = 0; i < count_iterate; i++)
{
double inparam = 0;
switch (alg_cross)
{
case Individ.Alg_crossover.Унифицированный: inparam = param_crossover; break;
case Individ.Alg_crossover.Многоточечный: inparam = count_Multipoint; break;
}
main_pop.select_parents_and_crossover(rand, alg_cross, inparam);
main_pop.mutate_all(rand, coef_t1, coef_t2, type_mutate, b_ro);
main_pop.union_parent_and_child();
main_pop.Calc_Error(result);
main_pop.select_global();
}
result.Rulles_Database_Set[0] = main_pop.get_best_database();
GC.Collect();
return(result);
}
