Research Article
Designing an Agile Closed-Loop Supply Chain with Environmental Aspects Using a Novel Multiobjective Metaheuristic Algorithm
Table 3
Epsilon constraint output for solved examples.
| Example number | MID | Max_Spread | SM | NPS | RAS | Spacing | CPU time |
| 1 | 12.522 | 11.641 | 7.994 | 7 | 0.318 | 7.884 | 6.243 | 2 | 13.347 | 12.001 | 9.927 | 10 | 0.391 | 9.779 | 13.923 | 3 | 16.219 | 14.434 | 9.719 | 11 | 0.638 | 12.031 | 80.205 | 4 | 16.318 | 16.057 | 15.639 | 11 | 0.682 | 17.772 | 425.727 | 5 | 18.037 | 17.34 | 20.293 | 13 | 0.897 | 21.792 | 994.581 | 6 | 17.844 | 22.863 | 22.848 | 15 | 1.528 | 23.336 | 1272.391 | 7 | 20.006 | 31.395 | 30.102 | 17 | 2.064 | 33.215 | 2464.165 | 8 | 20.405 | 40.311 | 34.497 | 19 | 3.109 | 35.137 | 3600.299 | 9 | 21.629 | 42.374 | 52.884 | 19 | 3.616 | 49.15 | 3600.571 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Not solved | Average | 17.369 | 23.157 | 22.656 | 13.556 | 1.471 | 23.344 | 1384.234 |
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