Research Article
Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration
Table 5
Statistical analysis (3-objective problem) of hypervolume indicator.
| ID | Method | Encoding | Mutation | Average | Median | Maximum | Minimum | Standard deviation | Average rank (Friedman test) |
| 1 | NSGA-II | Real | 0.5 | 4.0442 | 4.0420 | 4.0862 | 3.9998 | 0.0229 | 6.2857 | 2 | NSGA-II | Real | 0.1 | 4.0422 | 4.0394 | 4.0856 | 4.0144 | 0.0167 | 6.4761 | 3 | NSGA-II | Real | 1.5 | 4.0377 | 4.0372 | 4.0613 | 4.0066 | 0.0158 | 7.6190 | 4 | NSGA-II | Binary | 0.5 | 4.0473 | 4.0445 | 4.0716 | 4.0184 | 0.0151 | 5.4285 | 5 | NSGA-II | Binary | 1.0 | 4.0453 | 4.0413 | 4.0948 | 4.0053 | 0.0228 | 5.9523 | 6 | NSGA-II | Binary | 1.5 | 4.0436 | 4.0430 | 4.1269 | 4.0002 | 0.0265 | 6.4761 | 7 | SMS-EMOA | Real | 0.5 | 4.0527 | 4.0480 | 4.1046 | 4.0160 | 0.0259 | 5.3809 | 8 | SMS-EMOA | Real | 1.0 | 4.0531 | 4.0512 | 4.1035 | 4.0255 | 0.0191 | 4.9523 | 9 | SMS-EMOA | Real | 1.5 | 4.0487 | 4.0472 | 4.0892 | 4.0177 | 0.0192 | 5.8095 | 10 | SMS-EMOA | Binary | 0.5 | 4.0382 | 4.0383 | 4.1104 | 4.0056 | 0.0261 | 7.5714 | 11 | SMS-EMOA | Binary | 1.0 | 4.0373 | 4.0352 | 4.0704 | 4.0168 | 0.0147 | 7.3809 | 12 | SMS-EMOA | Binary | 1.5 | 4.0301 | 4.0308 | 4.0603 | 4.0069 | 0.0148 | 8.6666 |
| value | 0.0260 |
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Best values (column-wise), in bold type.
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