public override Unit CalculateFitnes(Unit osob,Population population)
{
osob.Function = 0;
foreach (var gen in osob.Gens)
{
osob.Function += osob.BinToDec(gen);
}
return osob;
}
public void GenerateFrom(Population p, List<Unit> data = null)
{
Length = p.Length;
Max = p.Max;
Min = p.Min;
Osobi = p.Osobi;
Count = p.Count;
GensCount = p.GensCount;
TempPopulation = p.TempPopulation;
Pars = p.Pars;
if (data == null) return;
Osobi = data;
Count = data.Count;
}
public override Dictionary<double, double> Start()
{
Form1 f= GetOption("form", null);
var resultt = new Dictionary<double, double>();
double y = 0;
var pop = new Population(this);
f.progressBar1.Minimum = 0;
f.progressBar1.Maximum = pop.Formula.Generations;
for (int i = 0; i < Generations; i++)
{
pop.OneGeneration(Selector,Crosser,Mytator,Screener);
var max=pop.GetMax();
y = y + 1;
resultt.Add(y,max);
f.progressBar1.Value = i;
Application.DoEvents();
}
return resultt;
}
public abstract Unit CalculateFitnes(Unit osob, Population population);
public virtual Population Calculate(Population p)
{
for (int i = 0; i < p.Osobi.Count; i++)
{
var vvv = p.Osobi[i];
p.Change(CalculateFitnes(vvv, p));
}
for (int i = 0; i < p.Pars.Count; i++)
{
var para = p.Pars[i];
para.Father = CalculateFitnes(para.Father, p);
para.Mother = CalculateFitnes(para.Mother, p);
for (int i2 = 0; i2 < para.Children.Count; i2++)
{
para.Children[i2] = CalculateFitnes(para.Children[i2], p);
}
}
return p;
}
public void Init(Population p)
{
Population = p;
Randomizer=new Random();
}
