Research Article
Design of a Multiobjective Reverse Logistics Network Considering the Cost and Service Level
Table 3
Comparison of the performance of the three algorithms.
| | Standard | Standard | Standard | | NSGA-II | MOSA | GA_WS | NSGA-II | MOSA | GA_WS | NSGA-II | MOSA | GA_WS |
| Problem set 1 | | | | | | | | | | Instance 1 | 10 | 10 | 10 | 10 | 10 | 10 | 1.00 | 1.00 | 1.00 | Instance 2 | 8.7 | 8.7 | 8.6 | 8.7 | 8.3 | 7.5 | 1.00 | 0.96 | 0.87 | Instance 3 | 6 | 6 | 6 | 6 | 6 | 6 | 1.00 | 1.00 | 1.00 |
| Problem set 2 | | | | | | | | | | Instance 4 | 13 | 13 | 12.6 | 13 | 12.8 | 10.3 | 1.00 | 0.98 | 0.82 | Instance 5 | 12 | 11.7 | 10.3 | 12 | 11.7 | 10.3 | 1.00 | 1.00 | 1.00 | Instance 6 | 25.2 | 23 | 18.5 | 21.6 | 19.2 | 17.1 | 0.86 | 0.83 | 0.93 |
| Problem set 3 | | | | | | | | | | Instance 7 | 25.4 | 23.3 | 19.4 | 25.4 | 21.5 | 11.8 | 1.00 | 0.93 | 0.62 | Instance 8 | 27.3 | 29.7 | 31.7 | 26.3 | 11.8 | 10.6 | 0.96 | 0.41 | 0.34 | Instance 9 | 19.4 | 16 | 15.7 | 19.4 | 15.6 | 11.3 | 1.00 | 0.98 | 0.72 |
| Problem set 4 | | | | | | | | | | Instance 10 | 8 | 7.7 | 6.7 | 6.4 | 6.6 | 6 | 0.81 | 0.87 | 0.89 | Instance 11 | 16 | 13.9 | 9.5 | 15.2 | 9.1 | 6.5 | 0.95 | 0.66 | 0.69 | Instance 12 | 31 | 31.2 | 22.6 | 30.7 | 21.3 | 2 | 0.99 | 0.68 | 0.09 |
| Problem set 5 | | | | | | | | | | Instance 13 | 30.5 | 48.7 | 47.6 | 29.3 | 13.6 | 4.4 | 0.96 | 0.29 | 0.09 | Instance 14 | 18.9 | 21.1 | 17.6 | 18.4 | 9.6 | 13.7 | 0.97 | 0.45 | 0.78 | Instance 15 | 14.6 | 16.3 | 12.6 | 14.6 | 11.7 | 5.4 | 1.00 | 0.74 | 0.45 |
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