Abstract and Applied Analysis

Research Article

Multiobjective Differential Evolution Algorithm with Multiple Trial Vectors

Table 5

Testing result’s statistics of the problem ZDT6.
AlgorithmConvergence metricDiversity metric
NSGA-II (real-coded) 0 . 2 9 6 5 6 4 ± 0 . 0 1 3 1 3 5 0 . 6 6 8 0 2 5 ± 0 . 0 0 9 9 2 3
NSGA-II (binary-coded) 7 . 8 0 6 7 9 8 ± 0 . 0 0 1 6 6 7 0 . 6 4 4 4 7 7 ± 0 . 0 3 5 0 4 2
SPEA 0 . 2 2 1 1 3 8 ± 0 . 0 0 0 4 4 9 0 . 8 4 9 3 8 9 ± 0 . 0 0 2 7 1 3
PAES 0 . 0 8 5 4 6 9 ± 0 . 0 0 6 6 6 4 1 . 1 5 3 0 5 2 ± 0 . 0 0 3 9 1 6
PDEAN/A 0 . 4 7 3 0 7 4 ± 0 . 0 2 1 7 2 1
MODE 0 . 0 2 6 2 3 0 ± 0 . 0 0 0 8 6 1 N/A
MTVDE 0 . 0 0 0 4 1 4 ± 3 . 4 0 1 4 𝑒 − 0 0 9 0 . 9 2 6 3 0 0 ± 0 . 0 0 0 8 9 5