Research Article
Synergy of Genetic Algorithm with Extensive Neighborhood Search for the Permutation Flowshop Scheduling Problem
Table 4
The comparison of GA_ENS with other algorithms (average RPD).
| Instance | HGA_RMA | | GA_ENS (without ENS) | GA_ENS | | |
| 20 | 5 | 0.04 | 0.00 | 1.40 | 0.00 | 20 | 10 | 0.02 | 0.01 | 3.45 | 0.00 | 20 | 20 | 0.05 | 0.02 | 2.73 | 0.00 | 50 | 5 | 0.00 | 0.00 | 1.46 | 0.00 | 50 | 10 | 0.72 | 0.82 | 6.43 | 0.35 | 50 | 20 | 0.99 | 1.08 | 8.04 | 0.52 | 100 | 5 | 0.01 | 0.00 | 0.92 | 0.00 | 100 | 10 | 0.16 | 0.14 | 4.29 | 0.05 | 100 | 20 | 1.30 | 1.40 | 9.27 | 0.85 | 200 | 10 | 0.14 | 0.16 | 3.28 | 0.04 | 200 | 20 | 1.26 | 1.25 | 9.12 | 0.99 | 500 | 20 | 0.69 | 0.71 | 6.87 | 0.41 |
| Average | 0.448 | 0.466 | 4.773 | 0.268 |
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