Research Article
A PMBGA to Optimize the Selection of Rules for Job Shop Scheduling Based on the Giffler-Thompson Algorithm
Table 1
The computational results and comparisons under .
| Instance | Optimal | PMBGA | PSO-SA | RBGA | Average | # opt | Average | # opt | Average | # opt |
| ABZ5 | 0 | 0.0 | 20 | 0.0 | 20 | 0.0 | 20 | ABZ6 | 0 | 0.0 | 20 | 0.0 | 20 | 0.0 | 20 | LA16 | 0 | 0.0 | 20 | 0.0 | 20 | 0.3 | 18 | LA17 | 65 | 65.0 | 20 | 65.0 | 20 | 65.0 | 20 | LA18 | 0 | 0.0 | 20 | 0.0 | 20 | 0.0 | 20 | LA19 | 0 | 0.0 | 20 | 0.0 | 20 | 0.8 | 18 | LA20 | 0 | 0.0 | 20 | 0.0 | 20 | 0.0 | 20 | LA21 | 0 | 0.0 | 20 | 0.0 | 20 | 0.0 | 20 | LA22 | 0 | 0.0 | 20 | 0.2 | 19 | 0.0 | 20 | LA23 | 0 | 0.0 | 20 | 0.0 | 20 | 0.0 | 20 | LA24 | 0 | 0.0 | 20 | 0.0 | 20 | 0.0 | 20 | MT10 | 141 | 143.1 | 16 | 145.9 | 14 | 149.9 | 11 | ORB1 | 566 | 588.7 | 4 | 602.0 | 1 | 630.7 | 0 | ORB2 | 44 | 44.5 | 18 | 45.7 | 13 | 45.6 | 12 | ORB3 | 422 | 425.2 | 10 | 428.8 | 8 | 452.1 | 8 | ORB4 | 66 | 66.3 | 17 | 66.7 | 18 | 71.0 | 13 | ORB5 | 163 | 166.0 | 6 | 168.9 | 4 | 171.8 | 1 | ORB6 | 28 | 28.5 | 15 | 28.9 | 10 | 29.1 | 12 | ORB7 | 0 | 0.0 | 20 | 0.7 | 15 | 0.7 | 13 | ORB8 | 621 | 633.4 | 2 | 646.7 | 0 | 661.4 | 0 | ORB9 | 66 | 66.9 | 16 | 68.7 | 12 | 71.1 | 9 | ORB10 | 76 | 83.2 | 2 | 83.5 | 0 | 84.2 | 0 |
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