void InitState()
{
cFitness.mFunc = combFitnessFunc.SelectedIndex;
switch (combType.SelectedIndex)
{
case 0:
PSO_Type = PSOType.Minimization;
break;
case 1:
PSO_Type = PSOType.Maximization;
break;
}
dimSize = Convert.ToInt32(txtdimSize.Text);
ub_domXi = Convert.ToDouble(txtUBXi.Text);
lb_domXi = Convert.ToDouble(txtLBXi.Text);
ub_SpeedXi = Convert.ToDouble(txtUbSpeedXi.Text);
lb_SpeedXi = Convert.ToDouble(txtLbSpeedXi.Text);
decP = Convert.ToInt32(txtdecP.Text);
SwarmSize = Convert.ToInt32(txtSwarmSize.Text);
maxIter = Convert.ToInt32(txtmaxIter.Text);
W = Convert.ToDouble(txtW.Text);
C1 = Convert.ToDouble(txtC1.Text);
C2 = Convert.ToDouble(txtC2.Text);
wMira = Convert.ToDouble(txtwMira.Text);
Swarm = new Particle[SwarmSize];
PlotSwarm = new double[maxIter, SwarmSize, 2];
PlotGlobal = new double[maxIter, 2];
chartGlobalFitness.Series[0].Points.Clear();
}
public bool IsBetter(double val1, double val2, PSOType Type)
{
if (Type == PSOType.Minimization)
{
return(val1 <= val2);
}
else
{
return(val1 >= val2);
}
}
