Research Article

Multiobjective Differential Evolution Algorithm with Multiple Trial Vectors

Table 2

Testing result’s statistics of the problem ZDT2.

AlgorithmConvergence metricDiversity metric

NSGA-II (real-coded) 0 . 0 7 2 3 9 1 ± 0 . 0 3 1 6 8 9 0 . 4 3 0 7 7 6 ± 0 . 0 0 4 7 2 1
NSGA-II (binary-coded) 0 . 0 0 0 8 2 4 ± 0 . 0 0 0 0 0 0 0 . 4 3 5 1 1 2 ± 0 . 0 2 4 6 0 7
SPEA 0 . 0 0 1 3 3 9 ± 0 . 0 0 0 0 0 0 0 . 7 5 5 1 8 4 ± 0 . 0 0 4 5 2 1
PAES 0 . 1 2 6 2 7 6 ± 0 . 0 3 6 8 7 7 1 . 1 6 5 9 4 2 ± 0 . 0 0 7 6 8 2
PDEAN/A 0 . 3 1 7 9 5 8 ± 0 . 0 0 1 3 8 9
MODE 0 . 0 0 5 5 0 0 ± 0 . 0 0 0 0 0 0 N/A
MTVDE 0 . 0 0 4 7 0 0 ± 0 . 0 0 0 0 0 6 0 . 6 4 5 9 0 0 ± 0 . 0 0 2 6 0 0