Research Article
A Knee Point-Driven Many-Objective Evolutionary Algorithm with Adaptive Switching Mechanism
Table 4
Mean and standard deviation values of IGD for KPEA and state-of-art algorithms on WFG problems.
| Problem | M | k-NSGAII | KnEA | Pi-MOEA | hpaEA | VaEA | KPEA |
| WFG1 | 3 | | | | | | | 5 | | | | | | | 8 | | | | | | | 10 | | | | | | |
| WFG2 | 3 | | | | | | | 5 | | | | | | | 8 | | | | | | | 10 | | | | | | |
| WFG3 | 3 | | | | | | | 5 | | | | | | | 8 | | | | | | | 10 | | | | | | |
| WFG4 | 3 | | | | | | | 5 | | | | | | | 8 | | | | | | | 10 | | | | | | |
| WFG5 | 3 | | | | | | | 5 | | | | | | | 8 | | | | | | | 10 | | | | | | |
| WFG6 | 3 | | | | | | | 5 | | | | | | | 8 | | | | | | | 10 | | | | | | |
| WFG7 | 3 | | | | | | | 5 | | | | | | | 8 | | | | | | | 10 | | | | | | |
| WFG8 | 3 | | 3.2937e-1 (8.43e-3) – | | | | | 5 | | 1.2737e+0 (1.58e-2) – | 1 | | | | 8 | | 3.4668e+0 (5.41e-2) – | | | | | 10 | | 4.3376e+0 (6.49e-2) + | | | | |
| WFG9 | 3 | | 2.2145e-1 (6.30e-3) – | | | | | 5 | | 1.1428e+0 (1.57e-2) – | | | | | 8 | | 3.1190e+0 (3.61e-2) – | | | | | 10 | | 3.9926e+0 (3.81e-2) + | | | | |
| +/-/= | | 0/33/3 | 3/21/12 | 8/16/12 | 0/36/0 | 4/30/2 | |
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