Table 9 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 | 15.0 | 0.0 | 3.0971E−02 | Yes |
CCDE vs SaDE | 10.0 | 0.0 | 4.4610E−02 | Yes |
CCDE vs EPSDE | 15.0 | 0.0 | 3.0971E−02 | Yes |
CCDE vs CoBiDE | 8.0 | 2.0 | 2.0124E−02 | No |