public double[] Calibration()
{
var lowerbound = new double[4] {
0.0000001, -29.99, -29.99, 0.0000001
};
var upperbound = new double[4] {
14.99, 29.99, 29.99, 29.99
};
//var PSO = new PSOOptimization();
//PSO.initialguess = new double[4] { 2.1, -1.5, -2.1, 0.87 };
//PSO.lowerbound = lowerbound;
//PSO.upperbound = upperbound;
//PSO.maximumiteration = 5000;
//PSO.numofswarms = 200;
//PSO.inertiaweightmax = 1.2;
//PSO.inertiaweightmin = 0.1;
//PSO.objectfun = StaticNS3FactorModelObjfun;
//PSO.tolerance = 0.000000001;
//PSO.Vmax = 4;
//PSO.c1 = 2;
//PSO.c2 = 2;
//PSO.chi = 0.73;
//var optimizedp = PSO.Optimize();
var ChaoticPSO = new ChaoticPSOOptimization();
ChaoticPSO.lowerbound = lowerbound;
ChaoticPSO.upperbound = upperbound;
ChaoticPSO.inertiaweightmax = 1.2;
ChaoticPSO.inertiaweightmin = 0.1;
ChaoticPSO.objectfun = StaticNS3FactorModelObjfun;
ChaoticPSO.tolerance = 0.000000001;
ChaoticPSO.c1 = 2;
ChaoticPSO.c2 = 2;
var optimizedp = ChaoticPSO.Optimize();
return(optimizedp);
}
public double[] Calibration()
{
var lowerbound = new double[9] {
0.0000001, 0.0000001, 0.0000001, 0.0000001, 0.0000001, 0.0000001, 0.0000001, 0.0000001, -29.99
};
var upperbound = new double[9] {
29.99, 29.99, 29.99, 29.99, 29.99, 29.99, 29.99, 29.99, 29.99
};
var ChaoticPSO = new ChaoticPSOOptimization();
ChaoticPSO.lowerbound = lowerbound;
ChaoticPSO.upperbound = upperbound;
ChaoticPSO.inertiaweightmax = 1.2;
ChaoticPSO.inertiaweightmin = 0.1;
ChaoticPSO.objectfun = StaticTwoFactorLongstaffSchwartzModelObj;
ChaoticPSO.tolerance = 0.000000001;
ChaoticPSO.c1 = 2;
ChaoticPSO.c2 = 2;
var optimizedp = ChaoticPSO.Optimize();
return(optimizedp);
}
public double[] Calibration()
{
var lowerbound = new double[10] {
-14.99, -14.99, -14.99, -0.9999999, -4.99, -4.99, 0.0000001, 0.0000001, 0.0000001, 0.0000001
};
var upperbound = new double[10] {
14.99, 14.99, 14.99, 0.9999999, 4.99, 4.99, 4.99, 4.99, 14.99, 14.99
};
var ChaoticPSO = new ChaoticPSOOptimization();
ChaoticPSO.lowerbound = lowerbound;
ChaoticPSO.upperbound = upperbound;
ChaoticPSO.inertiaweightmax = 1.2;
ChaoticPSO.inertiaweightmin = 0.1;
ChaoticPSO.objectfun = StaticVasicekTwoFactorModelObj;
ChaoticPSO.tolerance = 0.000000001;
ChaoticPSO.c1 = 2;
ChaoticPSO.c2 = 2;
var optimizedp = ChaoticPSO.Optimize();
return(optimizedp);
}
