Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem

Table 1

List of benchmark functions which have been used in experiments.

Number	Function	C		Range	Formulation
	Sphere	US	30	[−100, 100]
	SumSquares	US	30	[−100, 100]
	Tablet	US	30	[−100, 100]
	Quartic	US	30	[−1.28 1.28]
	Schwefel 1.2	UN	30	[−100, 100]
	Schwefel 2.22	UN	30	[−10, 10]
	Schwefel 2.21	UN	30	[−100, 100]
	Zakharov	UN	30	[−5, 10]
	Rosenbrock	US	30	[−4, 4]
	Schaffer	MN	2	[−10, 10]
	Dropwave	MN	2	[−2, 2]
	Bohachevsky1	MN	2	[−100, 100]
	Bohachevsky2	MN	2	[−100, 100]
	Bohachevsky3	MN	2	[−100, 100]
	Six-Hump Camel Back	MN	2	[−5, 5]
	Branin	MS	2	[−5, 15]
	Goldstein-Price	MN	2	[−2, 2]
	Ackley	MN	30	[−32, 32]
	Rastrigin	MN	30	[−5.12, 5.12]
	Griewank	MN	30	[−600, 600]
	Schwefel 2.26	MN	30	[−500, 500]
	Multimod	MN	30	[−10, 10]
	Noncontinuous Rastrigin	MS	30	[−5.12, 5.12]	,
	Weierstrass	MS	30	[−0.5, 0.5]

C: characteristic; : dimension; U: unimodal; M: multimodal; S: separable; N: nonseparable.