Table 1.

Parameter setting of GNDO and IPA.

Methods	Parameters	Setting	Parameters	Setting
GNDO	Population Creation	Random	Weights(Lower,Upper)	($-25$, 25)
	Fitness bound	${10}^{-20}$	Function tolerance	${10}^{-25}$
	Decision variables	19	Search agents	60
	Selection	Stochastic Uniform	Constraint tolerance	${10}^{-20}$
IPA	Start point	Best weights of GNDO	Hessian	BFGS
	X-tolerance	${10}^{-20}$	Max. function evaluations	100,000
	Iterations	1000	Function tolerance	${10}^{-25}$