public void init_constrain(Random rand, a_samples_set Data)
{
for (int j = 0; j < Fenotip_terms.Count; j++)
{
Term temp_term = Fenotip_terms[j];
for (int i = 0; i < temp_term.Parametrs.Count(); i++)
{
temp_term.Parametrs[i] = temp_term.Parametrs[i] + Data.Attribute_Scatter(temp_term.Number_of_Input_Var) * (rand.NextDouble() - 0.5) * 0.1;
}
}
}
public Individ(Knowlege_base_ARules Source, a_samples_set data, int count_vars, bool the_first, Random rand, Type_init par_type_init)
{
hrom_vector = new Hromosom(new Knowlege_base_ARules(Source));
step_sko = new List <double>(count_vars);
step_rotate = new List <double>(count_vars);
count_step_sko = count_vars;
count_step_rotate = count_vars;
Data = data;
for (int i = 0; i < count_vars; i++)
{
step_sko.Add(0 + rand.NextDouble() * (data.Attribute_Scatter(i) * 0.05));
step_rotate.Add(-1 * Math.PI + rand.NextDouble() * 2 * Math.PI);
}
if (!the_first)
{
switch (par_type_init)
{
case Type_init.Случайная: hrom_vector.init_random(rand, data); break;
case Type_init.Ограниченная: hrom_vector.init_constrain(rand, data); break;
}
}
}
public void init_random(Random rand, a_samples_set Data)
{
for (int j = 0; j < Fenotip_terms.Count; j++)
{
Term temp_term = Fenotip_terms[j];
for (int i = 0; i < temp_term.Parametrs.Count(); i++)
{
temp_term.Parametrs[i] = Data.Attribute_Min(temp_term.Number_of_Input_Var) + Data.Attribute_Scatter(temp_term.Number_of_Input_Var) * rand.NextDouble();
}
}
for (int j = 0; j < Fenotip_kons.Count; j++)
{
Fenotip_kons[j] = Data.Output_Attributes.Min + Data.Output_Attributes.Scatter * rand.NextDouble();
}
}