public void algorithm_loop()
{
this.output.Focus();
this.output.AppendText("START\n");
do
{
var eval_list = population.Select(x => evalSelector.Evaluate(x));
var avg = eval_list.Average();
var max = eval_list.Max();
series.Points.AddXY(it, avg);
series2.Points.AddXY(it, max);
this.output.AppendText(String.Format(" iteracja nr {0} avg:{1:0.000} max:{2:0.000}\n", it++, avg, max));
//wydzielenie podzbiorow
var planyGrup = new Dictionary<Grupa, IList<Timetable>>();
foreach (var osobnik in population)
{
var lista_grup = osobnik.Gens.Select(x => x.Grupa).Distinct();
foreach (var grupa in lista_grup)
{
Application.DoEvents();
var planGrupy = new Timetable(mutation);
IList<TimetableLocus> loci =
(from locus in osobnik.Loci
where osobnik[locus].Grupa.Equals(grupa)
select locus).ToList();
foreach (var locus in loci)
planGrupy[locus] = osobnik[locus];
IList<Timetable> lista;
if (!planyGrup.TryGetValue(grupa, out lista))
{
lista = new List<Timetable>();
planyGrup.Add(grupa, lista);
}
lista.Add(planGrupy);
}
}
var listaGrup = planyGrup.Keys.ToList();
for (int i = 0; i < listaGrup.Count; i++)
{
Application.DoEvents();
IGeneticAlgorithmEngine<Timetable> ga_grupy;
ga_grupy = new GeneticAlgorithmEngine<Timetable, TimetableLocus, Zajecia>(planyGrup[listaGrup[i]], selector, reproducer, 20);
ga_grupy.Iterate(() =>
{
//planGrupy.Value = ga_grupy.Population;
return ga_grupy.Population.Select(x => evalSelector.Evaluate(x)).Average() > 0.95;
});
planyGrup[listaGrup[i]] = ga_grupy.Population;
}
//polaczenie podzbiorow
var nowaPopulacja = new List<Timetable>();
for (int i = 0; i < population.Count; i++)
{
Application.DoEvents();
var osobnik = new Timetable(mutation);
foreach (var planGrupy in planyGrup)
{
osobnik.Concat(planGrupy.Value[i]);
}
}
} while ((population.Select(x => evalSelector.Evaluate(x)).Average() < 0.95) && !stop_button);
if (!stop_button)
{
//wypisanie wyniku
this.output.AppendText("ZAKOŃCZONO\n");
stop_Click(null, null);
stop_button = false;
}
else
{
try
{
output.AppendText("STOP\n");
}
catch (Exception){}
}
}