Dynamic Flexible Assembly Flow Shop Scheduling on DFAFSP-MPD (test)
498.2Tardiness (Instance 1)HGNN
Evaluation results
| Method | Links | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HGNNMethod Category=End-to-end DRL, Training=2,000 episodes2026.07 | 498.2 | 2,215.2 | 745.1 | 4,717.7 | 1,580 | 2,509.1 | 3,141.7 | 1,704 | 2,316.8 | 1,351 | 3,534.1 | 3,017.2 | 2,244.7 | 1,619.3 | 1,980.8 | 2,609.1 | 2,077.9 | 2,042.6 | 3,162.4 | 1,611 | 2,233.9 | 973.1 | 16 | |
| SWRLMethod Category=End-to-end DRL, Training=2,000 episodes2026.07 | 522 | 1,595.8 | 1,321 | 3,522.3 | 1,204 | 2,255.6 | 2,897.4 | 1,419.8 | 1,433.4 | 1,081 | 3,084.4 | 1,644.1 | 2,249.4 | 1,059.1 | 1,725.4 | 1,103.7 | 789.8 | 1,834.3 | 1,371 | 1,670.7 | 1,689.2 | 772.1 | — | |
| DANIELMethod Category=End-to-end DRL, Training=2,000 episodes2026.07 | 581 | 2,050.9 | 1,566.5 | 3,756.6 | 1,524.3 | 2,045.1 | 2,432.7 | 1,927.2 | 1,878 | 1,425.2 | 3,545 | 3,057.1 | 1,980.5 | 2,053.1 | 2,843.6 | 2,944.6 | 841.7 | 1,754.4 | 3,441.1 | 1,709.5 | 2,167.9 | 863.5 | 16 | |
| DQNMethod Category=Rule-selection DRL, Training=20,000 episodes2026.07 | 1,486.5 | 2,703.8 | 2,971.8 | 2,133.8 | 2,037.5 | 1,315.7 | 1,669.2 | 2,098.5 | 3,892.9 | 2,286.6 | 1,897.8 | 553.2 | 1,840 | 3,474.8 | 5,780.2 | 4,652.2 | 685 | 2,461.5 | 3,135.7 | 717.1 | 2,389.7 | 1,326.7 | 12 | |
| Q learingMethod Category=Rule-selection DRL, Training=20,000 episodes2026.07 | 1,674.3 | 1,963.1 | 2,198.5 | 3,256.5 | 2,874.6 | 1,467.6 | 1,964.7 | 2,848.1 | 5,101.4 | 3,062 | 2,169.8 | 633.6 | 1,748.3 | 4,025.3 | 5,188.1 | 4,347 | 794.3 | 2,436.3 | 2,671.4 | 1,241 | 2,583.3 | 1,294.5 | 13 | |
| MLAC-DQNMethod Category=Rule-selection DRL, Training=20,000 episodes2026.07 | 1,678.9 | 2,971.8 | 467.2 | 2,026.4 | 1,315.7 | 1,111.7 | 1,669.2 | 2,098.5 | 711.7 | 1,953.3 | 1,897.8 | 553.2 | 1,840 | 2,898.1 | 1,450.3 | 2,985.6 | 685 | 2,925.8 | 3,135.7 | 717.1 | 1,754.7 | 887.4 | 9 | |
| DDPGMethod Category=Rule-selection DRL, Training=20,000 episodes2026.07 | 2,418.5 | 2,663.7 | 2,027.4 | 3,247.1 | 2,779.6 | 1,334.2 | 2,252.1 | 2,631.7 | 4,908.8 | 3,550 | 1,423.2 | 850.1 | 2,543.8 | 4,478 | 6,103.6 | 4,032.6 | 684.1 | 2,700.7 | 3,474.1 | 1,086.2 | 2,759.5 | 1,401.2 | 13 |