private void MuatatePopulation()
{
currentPopulation.Sort();
for (int i = IdealCount; i < PopulationSize; ++i)
{
Shedule sh = Mutate(currentPopulation.shedules[i].Item1);
currentPopulation.shedules[i] = new Tuple <Shedule, int>(sh, sh.GetConflictsCount());
}
}
public Population(Data data, int PopulationSize, Random rand)
{
shedules = new List <Tuple <Shedule, int> >();
for (int i = 0; i < PopulationSize; ++i)
{
Shedule s = new Shedule(data, rand);
shedules.Add(new Tuple <Shedule, int>(s, s.GetConflictsCount()));
}
}
private Shedule Mutate(Shedule sh)
{
Shedule k = new Shedule(data, rand);
for (int i = 0; i < k.plans.Count(); ++i)
{
if (rand.NextDouble() > MutationRate)
{
k.plans[i] = sh.plans[i];
}
}
return(k);
}
private Shedule CrossShedules(Shedule shedule1, Shedule shedule2)
{
Shedule res = new Shedule(data, rand);
for (int i = 0; i < res.plans.Count(); ++i)
{
if (rand.NextDouble() > 0.5)
{
res.plans[i] = shedule1.plans[i];
}
else
{
res.plans[i] = shedule2.plans[i];
}
}
return(res);
}
private void CrossOverPopulation()
{
Population newPopulation = new Population();
currentPopulation.Sort();
for (int i = 0; i < IdealCount; ++i)
{
newPopulation.shedules.Add(currentPopulation.shedules[i]);
}
for (int i = IdealCount; i < PopulationSize; ++i)
{
Shedule sh1 = currentPopulation.shedules[rand.Next(currentPopulation.shedules.Count()) % TopForCrossOvering].Item1;
Shedule sh2 = currentPopulation.shedules[rand.Next(currentPopulation.shedules.Count()) % TopForCrossOvering].Item1;
Shedule newSh = CrossShedules(sh1, sh2);
newPopulation.shedules.Add(new Tuple <Shedule, int>(newSh, newSh.GetConflictsCount()));
}
currentPopulation = newPopulation;
}
