public void init_first(KnowlegeBasePCRules base_rule, Random rand, FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.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 virtual void Init(ILearnAlgorithmConf Conf)
{
Config = Conf as ESConfig;
count_populate = Config.ESCPopulationSize;
count_child = Config.ESCCountChild;
count_iterate = Config.ESCCountIteration;
coef_t1 = Config.ESCT1;
coef_t2 = Config.ESCT2;
param_crossover = Config.ESCCrossoverPropability;
alg_cross = Config.ESCCrossoverType;
type_init = Config.ESCInitType;
count_Multipoint = Config.ESCCountCrossoverPoint;
type_mutate = Config.ESCMutateAlg;
b_ro = Config.ESCAngleRotateB;
main_pop = new Population(count_populate, count_child, result.CountFeatures, result.LearnSamplesSet);
main_pop.init_first(result.RulesDatabaseSet[0], rand, type_init);
}
public Individ(KnowlegeBasePCRules Source, SampleSet data, int count_vars, bool the_first, Random rand, FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_init par_type_init)
{
hrom_vector = new Hromosom(new KnowlegeBasePCRules(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.InputAttributes[i].Scatter * 0.05));
step_rotate.Add(-1 * Math.PI + rand.NextDouble() * 2 * Math.PI);
}
if (!the_first)
{
switch (par_type_init)
{
case FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_init.Случайная: hrom_vector.init_random(rand, data); break;
case FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_init.Ограниченная: hrom_vector.init_constrain(rand, data); break;
}
}
}
protected override void fill_params(string[] args)
{
file_in = (args.Where(x => x.Contains("in"))).ToArray()[0];
Console.WriteLine("Before cut {0}", file_in);
file_in = file_in.Remove(0, 3);
Console.WriteLine("After cut {0}", file_in);
file_out = (args.Where(x => x.Contains("out"))).ToArray()[0];
file_out = file_out.Remove(0, 4);
string temp = (args.Where(x => x.Contains("init_alg"))).ToArray()[0];
temp = temp.Split(':')[1];
switch (temp)
{
case "Random": type_init = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_init.Случайная; break;
case "Constrain": type_init = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_init.Ограниченная; break;
default: type_init = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_init.Ограниченная; break;
}
temp = (args.Where(x => x.Contains("type_mutate"))).ToArray()[0];
temp = temp.Split(':')[1];
switch (temp)
{
case "Adaptive": type_mutate = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_Mutate.СКО; break;
case "CovarianceMatrix": type_mutate = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_Mutate.СКО_РО; break;
default: type_mutate = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Type_Mutate.СКО_РО; break;
}
temp = (args.Where(x => x.Contains("type_cross"))).ToArray()[0];
temp = temp.Split(':')[1];
switch (temp)
{
case "Unified": type_cross = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Alg_crossover.Унифицированный; break;
case "Multipoint": type_cross = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Alg_crossover.Многоточечный; break;
default: type_cross = FuzzySystem.FuzzyAbstract.learn_algorithm.conf.ESConfig.Alg_crossover.Унифицированный; break;
}
temp = (args.Where(x => x.Contains("pcross"))).ToArray()[0];
temp = temp.Split(':')[1];
string comma = System.Globalization.CultureInfo.CurrentCulture.NumberFormat.NumberDecimalSeparator;
temp = temp.Replace(".", comma);
double.TryParse(temp, out pcross);
temp = (args.Where(x => x.Contains("cpcross"))).ToArray()[0];
temp = temp.Split(':')[1];
temp = temp.Replace(".", comma);
double.TryParse(temp, out cpcross);
temp = (args.Where(x => x.Contains("angleR"))).ToArray()[0];
temp = temp.Split(':')[1];
temp = temp.Replace(".", comma);
double.TryParse(temp, out angleR);
temp = (args.Where(x => x.Contains("iterate"))).ToArray()[0];
temp = temp.Split(':')[1];
temp = temp.Replace(".", comma);
double.TryParse(temp, out iterate);
temp = (args.Where(x => x.Contains("cindiv"))).ToArray()[0];
temp = temp.Split(':')[1];
temp = temp.Replace(".", comma);
double.TryParse(temp, out cindiv);
temp = (args.Where(x => x.Contains("cchild"))).ToArray()[0];
temp = temp.Split(':')[1];
temp = temp.Replace(".", comma);
double.TryParse(temp, out cchild);
temp = (args.Where(x => x.Contains("coeft1"))).ToArray()[0];
temp = temp.Split(':')[1];
temp = temp.Replace(".", comma);
double.TryParse(temp, out coeft1);
temp = (args.Where(x => x.Contains("coeft2"))).ToArray()[0];
temp = temp.Split(':')[1];
temp = temp.Replace(".", comma);
double.TryParse(temp, out coeft2);
}
