Table 3 Results of the multiple-problem Wilcoxon’s test for JADE, SaDE, EPSDE, CoBiDE and CCDE at a 0.05 significance level
From: Covariance and crossover matrix guided differential evolution for global numerical optimization
Algorithm | R+ | R− | p value | α = 0.05 |
|---|---|---|---|---|
CCDE vs JADE | 410.0 | 25.0 | 3.368E−06 | Yes |
CCDE vs SaDE | 430.0 | 5.0 | 3.726E−08 | Yes |
CCDE vs EPSDE | 448.5 | 16.5 | 3.502E−07 | Yes |
CCDE vs CoBiDE | 382.5 | 82.5 | 1.399E−03 | Yes |