Dynamically Dimensioned Search Embedded with Piecewise Opposition-Based Learning for Global Optimization

Table 6

Wilcoxon signed-rank test results on six state-of-the-art algorithms.

Comparison	R^+	R^-	p value	Comparison	R^+	R^-	p value
DDS-POBL versus PSO	28	17	0.5703	DDS-POBL versus POHS	NaN	NaN	NaN
DDS-POBL versus CMA-ES	45	0	0.007	DDS-POBL versus CoDE	38	7	0.0742
DDS-POBL versus EEGWO	13	23	0.5469	DDS-POBL versus INMDA	3	33	0.0391
DDS-POBL versus MHDA	42	3	0.0195	DDS-POBL versus NaFA	31	5	0.0781