Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems

Table 1

Results of multiple-problem Wilcoxon’s test for ANDE, ANDE-1, and ANDE-2 over all functions at a significance level 0.05 (with 1.25E + 05 FEs).

Algorithm			value	Better	Equal	Worse	Dec.
ANDE versus ANDE-1	114	76	0.445	12	1	7	≈
ANDE versus ANDE-2	107	83	0.629	10	1	9	≈
ANDE-1 versus ANDE-2	117	93	0.654	10	0	10	≈