public CoreText <T> Crossover(CoreText <T> otherParent)
{
CoreText <T> child = new CoreText <T>(TxtGen.Length, random, getRandomTextGen, AjusteFuncion, shouldInitGenes: false);
for (int i = 0; i < TxtGen.Length; i++)
{
child.TxtGen[i] = random.NextDouble() < 0.5 ? TxtGen[i] : otherParent.TxtGen[i];
}
return(child);
}
private int CompareCore(CoreText <T> a, CoreText <T> b)
{
if (a.Fitness > b.Fitness)
{
return(-1);
}
else if (a.Fitness < b.Fitness)
{
return(1);
}
else
{
return(0);
}
}
public void NuevaGeneracion(int numNuevoCore = 0, bool crossoverNewCore = false)
{
int finalCount = TextPop.Count + numNuevoCore;
if (finalCount <= 0)
{
return;
}
if (TextPop.Count > 0)
{
CalcularAjuste();
TextPop.Sort(CompareCore);
}
nuevoTextoPop.Clear();
for (int i = 0; i < TextPop.Count; i++)
{
if (i < Optimizado && i < TextPop.Count)
{
nuevoTextoPop.Add(TextPop[i]);
}
else if (i < TextPop.Count || crossoverNewCore)
{
CoreText <T> par1 = SelectPar();
CoreText <T> par2 = SelectPar();
CoreText <T> child = par1.Crossover(par2);
child.Mutacion(MutationRate);
nuevoTextoPop.Add(child);
}
else
{
nuevoTextoPop.Add(new CoreText <T>(CoreSize, random, getRandomGene, FuncAjuste, shouldInitGenes: true));
}
}
List <CoreText <T> > tmpList = TextPop;
TextPop = nuevoTextoPop;
nuevoTextoPop = tmpList;
Generacion++;
}
private void CalcularAjuste()
{
SumaAjustados = 0;
CoreText <T> best = TextPop[0];
for (int i = 0; i < TextPop.Count; i++)
{
SumaAjustados += TextPop[i].CalcularAjuste(i);
if (TextPop[i].Fitness > best.Fitness)
{
best = TextPop[i];
}
}
MejorAjuste = best.Fitness;
best.TxtGen.CopyTo(MejorTextCore, 0);
}
static private float FuncAjuste(int index)
{
float score = 0;
CoreText <char> dna = aEvolu.TextPop[index];
for (int i = 0; i < dna.TxtGen.Length; i++)
{
if (dna.TxtGen[i] == TextoComparacion[i])
{
score += 1;
}
}
score /= TextoComparacion.Length;
score = ((float)Math.Pow(2, score) - 1) / (2 - 1);
return(score);
}
