public void Initialize()
{
double high = function.BOUNDARY_MAX * 0.1;
double low = function.BOUNDARY_MIN * 0.1;
//Random distribution around the search space
for (int i = 0; i < Position.Length; i++)
{
Position[i] = (function.BOUNDARY_MAX - function.BOUNDARY_MIN) * random.NextDouble() + function.BOUNDARY_MIN;
}
PersonalBestPosition = (double[])Position.Clone();
PersonalBestFitness = function.CalculateFitness(Position);
if (GlobalBestFitness == 0 && GlobalBestPosition == null)
{
GlobalBestPosition = (double[])PersonalBestPosition.Clone();
GlobalBestFitness = PersonalBestFitness;
}
UpdateFitness();
}
public virtual void Initialize()
{
double high = function.BOUNDARY_MAX * 0.1;
double low = function.BOUNDARY_MIN * 0.1;
//Random distribution around the search space
for (int i = 0; i < Position.Length; i++)
{
Position[i] = (function.BOUNDARY_MAX - function.BOUNDARY_MIN) * random.NextDouble() + function.BOUNDARY_MIN;
Velocity[i] = (high - low) * random.NextDouble() + low;
}
PositionPBest = (double[])Position.Clone();
PersonalBest = function.CalculateFitness(Position);
if (GlobalBest == 0 && PositionGBest == null)
{
PositionGBest = (double[])PositionPBest.Clone();
GlobalBest = PersonalBest;
}
UpdateFitness();
}