Research Article
A Novel Memetic Algorithm Based on Decomposition for Multiobjective Flexible Job Shop Scheduling Problem
Table 11
Comparison between MOMAD and MOGA using IGD, HV, and C metric for DP data.
| Instance | | IGD | HV | MOMAD versus MOGA | MOMAD | MOGA | MOMAD | MOGA | C(MOMAD, MOGA) | C(MOGA, MOMAD) |
| 01a | 50000 | | 0.2121 | | 1.0743 | | 0.0000 | 02a | 50000 | | 0.3002 | 0.6117 | | | | 03a | 50000 | | 0.5899 | | 0.2615 | | 0.0000 | 04a | 50000 | | 0.4022 | | 0.6042 | | 0.0000 | 05a | 60000 | | 0.4845 | | 0.6156 | | 0.0000 | 06a | 60000 | | 0.6834 | | 0.4432 | | 0.0000 | 07a | 50000 | 0.5034 | | | 0.6220 | | 0.0000 | 08a | 50000 | | 0.6998 | | 0.1780 | | 0.0000 | 09a | 50000 | | 0.3802 | | 0.4647 | | | 10a | 70000 | | 0.3334 | | 0.5980 | | 0.0000 | 11a | 70000 | | 0.7135 | | 0.3112 | | 0.0000 | 12a | 70000 | | 0.7982 | | 0.2533 | | 0.0000 | 13a | 60000 | | 1.1040 | | 0.1062 | | 0.0000 | 14a | 60000 | | 0.9852 | | 0.1414 | | 0.0000 | 15a | 70000 | | 0.6547 | | 0.2967 | | 0.0000 | 16a | 70000 | | 0.4685 | | 0.3833 | | 0.0000 | 17a | 70000 | | 0.8188 | | 0.2075 | | 0.0000 | 18a | 70000 | | 1.0231 | | 0.0975 | | 0.0000 |
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§ means the number of function evaluations.
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