A Novel Self-Adaptive Harmony Search Algorithm

Table 15

Dunnett’s one-tailed (>) multiple comparisons between the NSHS and other five algorithms based on the samples of solving six constrained benchmark functions.

(I) Algorithm	(J) Algorithm	Mean difference (I − J)	Std.	Sig.
HS	NSHS	.11043867790257 *	.028	.000
IHS	NSHS	.24772610041475 *	.028	.000
HSw	NSHS	.20691985495254 *	.028	.000
DLHS	NSHS	.01430413405475	.028	.640
SGHS	NSHS	.06953695639486 *	.028	.028

∗The mean difference is significant at the 0.05 level. The test is based on observed means of the dependent variable (relative error).