A Novel Self-Adaptive Harmony Search Algorithm

Table 9

Dunnett’s one-tailed (>) multiple comparisons between the NSHS and other five algorithms based on the samples of solving twelve unconstrained benchmark functions with 10 dimensions.

(I) Algorithm	(J) Algorithm	Mean difference (I − J)	Std.	Sig.
HS	NSHS	.03782732242345	.0199	.103
IHS	NSHS	.07017638607941*	.0199	.001
HSw	NSHS	.04233406887345	.0199	.064
DLHS	NSHS	−.02008968262494	.0199	.986
SGHS	NSHS	.01957666996786	.0199	.421

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