Research Article
A Knee Point-Driven Many-Objective Evolutionary Algorithm with Adaptive Switching Mechanism
Table 11
Overall performance comparison based on the Friedman test ranking based on HV and IGD metrics on the entire benchmark problem.
| | Problem | k-NSGAII | KnEA | Pi-MOEA | hpaEA | VaEA | KPEA |
| | Friedman’s rank based on inverted generational distance | | MaF | 5.0455 | 3.3636 | 3.2273 | 3.3636 | 4.2500 | 1.7500 | | WFG | 4.7222 | 2.8611 | 1.9861 | 5.9444 | 3.6806 | 1.7056 | | Overall | 4.9000 | 3.1375 | 2.6688 | 4.5250 | 3.9937 | 1.7750 |
| | Friedman’s rank based on hypervolume | | MaF | 4.9886 | 3.4091 | 2.7955 | 3.3409 | 4.9432 | 1.5227 | | WFG | 4.5139 | 2.4889 | 2.3667 | 5.5972 | 4.3194 | 2.0139 | | Overall | 4.7750 | 2.9500 | 2.5125 | 4.3563 | 4.6625 | 1.7437 |
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