Research Article
Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm
Table 8
Comparisons of IMOMVO and the four algorithms for large-sized problems.
| Test problems | Performance measures | ā | IMOMVO | MOMVO | MOPSO | MOALO | NSGA-II |
| Lproblem-01-20 | SP | Min | 31.5046 | 37.9386 | 39.2627 | 45.2234 | 32.5645 | Avg | 47.0788 | 63.0421 | 48.9852 | 83.7999 | 56.2081 | Std | 14.6542 | 24.1826 | 9.5585 | 24.5639 | 19.7613 | GD | Min | 9.6393 | 20.0731 | 40.3205 | 58.4695 | 14.7962 | Avg | 15.0285 | 33.6796 | 49.1722 | 87.9470 | 28.7340 | Std | 4.0260 | 11.0479 | 8.2321 | 19.4371 | 15.4064 | IGD | Min | 11.1861 | 14.2001 | 32.0123 | 36.2466 | 21.3965 | Avg | 13.6352 | 31.7573 | 49.3988 | 63.4794 | 27.3624 | Std | 1.6068 | 11.5299 | 11.0756 | 28.5335 | 4.5460 |
| Lproblem-02-20 | SP | Min | 39.2138 | 43.3812 | 41.9372 | 43.5818 | 35.7117 | Avg | 48.0512 | 80.0144 | 58.5973 | 78.0675 | 48.6288 | Std | 10.2653 | 42.4928 | 11.7668 | 22.4166 | 16.4953 | GD | Min | 0 | 13.7379 | 36.8747 | 31.5268 | 25.0612 | Avg | 13.0129 | 53.0043 | 52.3202 | 52.7521 | 35.1891 | Std | 6.6623 | 26.9211 | 12.8599 | 11.8538 | 16.3095 | IGD | Min | 0 | 12.3588 | 17.6584 | 31.939 | 22.0302 | Avg | 11.7856 | 50.5360 | 52.2226 | 64.0970 | 33.5677 | Std | 6.5477 | 32.6129 | 33.5188 | 27.0935 | 19.0259 |
| Lproblem-03-20 | SP | Min | 12.9284 | 14.5336 | 11.0352 | 17.2225 | 14.2715 | Avg | 17.1909 | 20.6562 | 17.6746 | 28.972 | 17.6740 | Std | 2.6819 | 5.0773 | 5.2745 | 16.9026 | 2.6553 | GD | Min | 0 | 6.5092 | 0 | 20.6104 | 0.6099 | Avg | 1.7627 | 16.8459 | 15.5075 | 32.7396 | 9.3958 | Std | 2.6162 | 7.7080 | 7.1737 | 10.1721 | 5.5497 | IGD | Min | 1.3130 | 10.1753 | 11.3452 | 26.5771 | 1.3472 | Avg | 5.2737 | 17.9577 | 24.5695 | 39.4279 | 16.1063 | Std | 2.1392 | 7.8994 | 20.5780 | 909037 | 3.9406 |
| Lproblem-04-20 | SP | Min | 19.7206 | 16.7344 | 19.5014 | 23.1202 | 22.6913 | Avg | 26.3831 | 31.3330 | 30.8081 | 35.5944 | 27.2626 | Std | 4.6792 | 12.3887 | 9.3875 | 5.5558 | 5.7137 | GD | Min | 0 | 2.0338 | 6.719 | 23.9144 | 8.2262 | Avg | 5.0776 | 13.6868 | 15.6351 | 34.7515 | 15.0124 | Std | 3.5823 | 10.2058 | 5.1480 | 5.7331 | 9.2964 | IGD | Min | 0 | 5.8252 | 9.7547 | 20.8213 | 7.7169 | Avg | 5.8495 | 12.9112 | 15.1598 | 33.2070 | 12.0886 | Std | 2.3550 | 5.3789 | 4.7880 | 12.1977 | 4.7048 |
| Lproblem-05-20 | SP | Min | 0 | 0 | 0 | 0 | 0 | Avg | 19.7206 | 26.1458 | 24.2800 | 18.4337 | 21.7567 | Std | 31.3350 | 33.8072 | 25.3138 | 31.3129 | 27.0370 | GD | Min | 0 | 0 | 5.1640 | 0 | 0 | Avg | 4.8984 | 14.9427 | 19.6865 | 26.1215 | 16.9535 | Std | 3.3327 | 8.2743 | 20.7626 | 15.1955 | 8.0954 | IGD | Min | 6 | 0 | 7 | 21.7401 | 11.3529 | Avg | 9.1573 | 22.7388 | 25.2810 | 29.1370 | 27.4365 | Std | 1.9291 | 16.6252 | 14.5438 | 3.1175 | 17.4456 |
| Lproblem-06-20 | SP | Min | 26.3994 | 27.5350 | 29.1025 | 42.2188 | 33.6225 | Avg | 56.4040 | 57.7383 | 47.7134 | 63.3400 | 52.4290 | Std | 17.8382 | 19.7179 | 14.8274 | 19.3504 | 14.5233 | GD | Min | 0 | 10.4265 | 4.7540 | 18.6695 | 8.2554 | Avg | 4.6472 | 21.3337 | 11.9000 | 27.2603 | 14.1198 | Std | 2.4220 | 10.5578 | 8.0866 | 8.5111 | 5.9599 | IGD | Min | 10.4799 | 17.6675 | 17.8134 | 18.5859 | 16.1167 | Avg | 12.4413 | 27.938 | 21.5491 | 38.2586 | 23.4192 | Std | 1.7633 | 8.9999 | 4.1238 | 17.7398 | 7.8422 |
|
|