public List<ISolutionPosSpeed> InitializeStart()
{
List<ISolutionPosSpeed> t = new List<ISolutionPosSpeed>();
for (int i = 0; i < this.numberOfPopulation; i++)
{
ISolutionPosSpeed te = new SolutionPosSpeed(this.workToDos.Length, this.workerMens.Length, null);
t.Add(te);
}
foreach (var item in t)
{
//var ran = random.Next(t.Count);
var localOptimum = new SolutionPosSpeed(this.workToDos.Length, this.workerMens.Length, null);
item.LocalOptimum = localOptimum;
}
return t;
}
public List<ISolutionPosSpeed> Evaluation(List<ISolutionPosSpeed> population, ref ISolutionPosSpeed globalOptimum)
{
List<ISolutionPosSpeed> newPop = new List<ISolutionPosSpeed>();
foreach (var item in population)
{
var temp = item;
int fitnesItem = this.Fitness(temp);
//TODO Megkérdezni, hogy erre miért van szükség, felesleg munka csupán!!!
if (fitnesItem < this.Fitness(temp.LocalOptimum))
{
temp.LocalOptimum = new SolutionPosSpeed(
new PositionPS((temp.Position as PositionPS).GetPosition(), this.workerMens.Length),
new Velocy(this.workerMens.Length, (temp.Speed as Velocy).GetVelocy())
);
Console.WriteLine("Fitnessz kisebb, mint a lokális optimumé, Round" + this.maxIterations);
}
if (fitnesItem < this.Fitness(globalOptimum))
{
Console.WriteLine("Fitnessz kisebb, mint a GLOBÁLIS optimumé, Round: " + this.maxIterations);
globalOptimum = new SolutionPosSpeed(
new PositionPS((temp.Position as PositionPS).GetPosition(), this.workerMens.Length),
new Velocy(this.workerMens.Length, (temp.Speed as Velocy).GetVelocy())
);
}
newPop.Add(new SolutionPosSpeed(
new PositionPS((temp.Position as PositionPS).GetPosition(), this.workerMens.Length),
new Velocy(this.workerMens.Length, (temp.Speed as Velocy).GetVelocy()))
{ LocalOptimum = temp.LocalOptimum });
}
return newPop;
}
public SolutionPosSpeed(int numberOfJobs, int numberOfWorkers, SolutionPosSpeed localOptimum)
{
Position = new PositionPS(numberOfJobs, numberOfWorkers);
Speed = new Velocy(numberOfJobs, numberOfWorkers);
LocalOptimum = localOptimum;
}
