Multiobjective Differential Evolution Algorithm with Multiple Trial Vectors

Table 6

Testing result’s statistics of the problems SCH, DTLZ1, and DTLZ2.

Problem	Algorithm	Convergence metric	Diversity metric
SCH	NSGA-II	0.0076±6.2023𝑒−008	0.8471±1.9253𝑒−004
	MTVDE	0.0084±1.2296𝑒−007	0.8728±8.0547𝑒−005
DTLZ1	NSGA-II	7.459200±12.42210	1.02050±0.005900
	MTVDE	0.023200±0.000014	0.774900±0.002300
DTLZ2	NSGA-II	0.659100±0.004000	0.914300±0.002700
	MTVDE	0.512900±0.001100	0.647000±0.001500