public Point(int dim)
{
double min = -5.12;
double max = 5.12;
Coords = new double[dim];
for (int i = 0; i < Coords.Length; i++)
{
Coords[i] = Swarm.GetInstance().Rnd.NextDouble() * (max - min) + min;
}
}
public void Search(double[] coords)
{
var randomIndex = Swarm.GetInstance().Rnd.Next(0, Swarm.GetInstance().Dimension);
double min = coords[randomIndex] - (Swarm.GetInstance().PatchSize / 2);
double max = coords[randomIndex] + Swarm.GetInstance().PatchSize / 2;
var newcoord = Swarm.GetInstance().Rnd.NextDouble() * (max - min) + min;
this.Position.Coords[randomIndex] = newcoord;
Fitness = GetFitness(Position.Coords);
}
public void GlobalSearch()
{
double min = -5.12;
double max = 5.12;
var gap = Math.Sqrt(Swarm.GetInstance().Dimension *Math.Pow((Swarm.GetInstance().PatchSize / 2), 2));
for (int i = 0; i < Swarm.GetInstance().Dimension; i++)
{
Position.Coords[i] = Swarm.GetInstance().Rnd.NextDouble() * (max - min) + min;
var s = Swarm.GetInstance().Trail.Select(x => x.Key[i]).ToList();
do
{
Position.Coords[i] = Swarm.GetInstance().Rnd.NextDouble() * (max - min) + min;
} while (!s.Any(z => Math.Abs(z - Position.Coords[i]) <= gap));
}
Fitness = GetFitness(Position.Coords);
}
public double GetFitness(double[] coords)
{
double currentFit = Swarm.GetInstance().FitFunction(coords);
if (currentFit < Swarm.GetInstance().Fitness)
{
Console.WriteLine("New fitness :" + Swarm.GetInstance().Fitness + " Iteration:" + Swarm.GetInstance().CurrentIteration);
Swarm.GetInstance().Fitness = currentFit;
Swarm.GetInstance().Position.Coords = coords;
if (!Swarm.GetInstance().Trail.ContainsKey(Position.Coords))
{
var newPoint = new double[Swarm.GetInstance().Dimension];
for (int i = 0; i < Swarm.GetInstance().Dimension; i++)
{
newPoint[i] = Position.Coords[i];
}
Swarm.GetInstance().Trail.Add(newPoint, currentFit);
}
}
Swarm.GetInstance().FittnessCallsCounter++;
return(currentFit);
}
public Agent(RoleTypes role)
{
Position = new Point(Swarm.GetInstance().Dimension);
Role = role;
Fitness = GetFitness(Position.Coords);
}
