public virtual void AssignNeighborhoodBests(PSOSubpopulation subpop)
{
for (var j = 0; j < subpop.Individuals.Count; j++)
{
var hoodBest = subpop.NeighborhoodBests[j];
var start = (j - subpop.NeighborhoodSize / 2);
if (start < 0)
{
start += subpop.Individuals.Count;
}
for (var i = 0; i < subpop.NeighborhoodSize; i++)
{
var ind = (DoubleVectorIndividual)subpop.Individuals[(start + i) % subpop.Individuals.Count];
if ((hoodBest == null) || ind.Fitness.BetterThan(hoodBest.Fitness))
{
hoodBest = ind;
}
}
if (hoodBest != subpop.NeighborhoodBests[j])
{
subpop.NeighborhoodBests[j] = (DoubleVectorIndividual)hoodBest.Clone();
}
}
}
public virtual void AssignPersonalBests(PSOSubpopulation subpop)
{
for (var i = 0; i < subpop.PersonalBests.Length; i++)
{
if ((subpop.PersonalBests[i] == null) || subpop.Individuals[i].Fitness.BetterThan(subpop.PersonalBests[i].Fitness))
{
subpop.PersonalBests[i] = (DoubleVectorIndividual)subpop.Individuals[i].Clone();
}
}
}
public virtual void AssignGlobalBest(PSOSubpopulation subpop)
{
var globalBest = subpop.GlobalBest;
foreach (var t in subpop.Individuals)
{
var ind = (DoubleVectorIndividual)t;
if ((globalBest == null) || ind.Fitness.BetterThan(globalBest.Fitness))
{
globalBest = ind;
}
}
if (globalBest != subpop.GlobalBest)
{
subpop.GlobalBest = (DoubleVectorIndividual)globalBest.Clone();
}
}
