Research Article
Multiobjective Parallel Algorithms for Solving Biobjective Open Shop Scheduling Problem
Table 16
Performance of MOMILP model and primary GA and SA algorithms in dealing with small-scale problems (
.).
| Problem | Z | Deviation from optimum (%) | Solving time (s) | m, n, b | MOMILP | GA | SA | MOMILP | GA (%) | SA (%) | MOMILP | GA | SA |
| 1 | 2, 4, 8 | 449.74 | 449.74 | 510.53 | 0 | 0.00 | 13.52 | 11 | 84 | 1 | 2 | 3, 4, 8 | 347.31 | 350.83 | 668.90 | 0 | 1.02 | 92.60 | 60 | 105 | 1 | 3 | 2, 5, 10 | 492.95 | 492.95 | 726.71 | 0 | 0.00 | 47.42 | 145 | 106 | 1 | 4 | 3, 5, 10 | 382.65 | 466.38 | 737.00 | 0 | 21.88 | 92.61 | 1951 | 147 | 2 | 5 | 2, 6, 12 | 848.09 | 859.43 | 1415.23 | 0 | 1.34 | 66.87 | 1386 | 105 | 3 | 6 | 3, 6, 12 | — | 1026.97 | 2375.36 | — | — | — | 38744 | 168 | 4 | Average | | | | | 0 | 4.85 | 62.60 | | | |
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