A Novel Self-Adaptive Harmony Search Algorithm

Table 11

Dunnett’s one-tailed (>) multiple comparisons between the NSHS and other five algorithms based on the samples of solving twelve unconstrained benchmark functions with 100 dimensions.

(I) Algorithm	(J) Algorithm	Mean difference (I − J)	Std.	Sig.
HS	NSHS	1743032079.82376	72262361658.159	.826
IHS	NSHS	125173553098.6880	72262361658.159	.143
HSw	NSHS	466806.998460054	72262361658.159	.833
DLHS	NSHS	184496.101783522	72262361658.159	.833
SGHS	NSHS	1.39707526033672	72262361658.159	.833

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