public PSOSolution(PSOSolution original) : base(original)
{
Velocity = new double[MyContainer.MyOSSP.NumOperations];
for (var d = 0; d < MyContainer.MyOSSP.NumOperations; d++)
{
Velocity[d] = original.Velocity[d];
}
BestPosition = new int[MyContainer.MyOSSP.NumOperations];
for (var d = 0; d < MyContainer.MyOSSP.NumOperations; d++)
{
BestPosition[d] = original.BestPosition[d];
}
BestFitness = original.BestFitness;
}
public override void Execute(OSSP theOSSP, Random theAleatory)
{
MyOSSP = theOSSP;
MyAleatory = theAleatory;
CurrentEFOs = 0;
Curve = new List <double>();
var swarm = new List <PSOSolution>();
for (var i = 0; i < SwarmSize; i++)
{
var newParticle = new PSOSolution(this);
newParticle.RandomInitialization();
swarm.Add(newParticle);
if (Math.Abs(newParticle.Fitness - MyOSSP.OptimalKnown) < 1e-10)
{
break;
}
}
var maxFitness = swarm.Min(x => x.Fitness);
var best = swarm.Find(x => Math.Abs(x.Fitness - maxFitness) < 1e-10);
MyBestSolution = new PSOSolution(best);
while (CurrentEFOs < MaxEFOs && Math.Abs(MyBestSolution.Fitness - MyOSSP.OptimalKnown) > 1e-10)
{
for (var i = 0; i < SwarmSize; i++)
{
swarm[i].UpdateVelocity((PSOSolution)MyBestSolution);
}
for (var i = 0; i < SwarmSize; i++)
{
swarm[i].UpdatePosition();
if (Math.Abs(swarm[i].Fitness - MyOSSP.OptimalKnown) < 1e-10)
{
break;
}
}
maxFitness = swarm.Min(x => x.Fitness);
best = swarm.Find(x => Math.Abs(x.Fitness - maxFitness) < 1e-10);
if (maxFitness > MyBestSolution.Fitness)
{
MyBestSolution = new PSOSolution(best);
}
}
}
public void UpdateVelocity(PSOSolution best)
{
for (var d = 0; d < MyContainer.MyOSSP.NumOperations; d++)
{
var w = MyContainer.MyAleatory.NextDouble() * ((PSO)MyContainer).W;
var c1 = MyContainer.MyAleatory.NextDouble() * ((PSO)MyContainer).C1;
var c2 = MyContainer.MyAleatory.NextDouble() * ((PSO)MyContainer).C2;
Velocity[d] = w * Velocity[d] +
c1 * (BestPosition[d] - Position[d]) +
c2 * (best.Position[d] - Position[d]);
if (Velocity[d] < -4)
{
Velocity[d] = -4;
}
if (Velocity[d] > 4)
{
Velocity[d] = 4;
}
}
}
