public static DoptimizationAlgorithm SelectState(DoptimizeExperimentTable det)
{
IDoptimizationDistributionSelection distributionSelection = null;
LangleyMethodStandardSelection langleyMethod = null;
if (det.det_DistributionState == 0)
{
distributionSelection = new Dop_Noraml();
}
else if (det.det_DistributionState == 1)
{
distributionSelection = new Dop_Logistic();
}
if (det.det_StandardState == 0)
{
langleyMethod = new Standard();
}
else if (det.det_StandardState == 1)
{
langleyMethod = new Ln();
}
else if (det.det_StandardState == 2)
{
langleyMethod = new Log();
}
else if (det.det_StandardState == 3)
{
langleyMethod = new Pow(double.Parse(det.det_Power));
}
return(new DoptimizationAlgorithm(distributionSelection, langleyMethod));
}
public static LangleyAlgorithm SelectState(LangleyExperimentTable let)
{
LangleyDistributionSelection distributionSelection = null;
LangleyMethodStandardSelection langleyMethod = null;
if (let.let_DistributionState == 0)
{
distributionSelection = new Normal();
}
else if (let.let_DistributionState == 1)
{
distributionSelection = new Logistic();
}
if (let.let_StandardState == 0)
{
langleyMethod = new Standard();
}
else if (let.let_StandardState == 1)
{
langleyMethod = new Ln();
}
else if (let.let_StandardState == 2)
{
langleyMethod = new Log();
}
else if (let.let_StandardState == 3)
{
langleyMethod = new Pow(double.Parse(let.let_Power));
}
return(new LangleyAlgorithm(distributionSelection, langleyMethod));;
}
public DoptimizationAlgorithm(IDoptimizationDistributionSelection distributionSelection, LangleyMethodStandardSelection standardSelection) : base(distributionSelection, standardSelection)
{
DopDistributionSelection = distributionSelection;
StandardSelection = standardSelection;
}
