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

Table 9

Comparative results of NIWTLBO and different variants of TLBO algorithms. Population size: 20; : 2; max. eval.: 80,000FEs.

Number	Function		WTLBO	ITLBO22	ITLBO23	I-TLBO (NT = 4)	NIWTLBO
	Sphere	MNFE	365	386	482	372	281
		Succ%	100	100	100	100	100
	Schwefel 2.22	MNFE	442	428	563	416	324
		Succ%	100	100	100	100	100
	Rosenbrock	MNFE	1643	704	726	684	1606
		Succ%	65	100	100	100	100
	Bohachevsky3	MNFE	468	432	516	398	364
		Succ%	100	100	100	100	100
	Branin	MNFE	41010	649	763	367	1922
		Succ%	28	100	100	100	100
	Ackley	MNFE	564	508	682	491	443
		Succ%	100	100	100	100	100
	Rastrigin	MNFE	4608	651	1406	632	481
		Succ%	100	100	100	100	100
	Griewank	MNFE	18246	1208	2248	1024	965
		Succ%	85	100	81	100	100
	Weierstrass	MNFE	19642	1243	2325	1186	1042
		Succ%	78	100	93	100	100