Multi-Robot Multi-Unit Pre-marshalling Problem optimization on MR-MUPMP (train)
627Solution QualitySBS*
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SBS*Seed=32026.05 | 627 | -4.31 | |
| SBS*Seed=72026.05 | 615 | -6.02 | |
| SBS*Seed=42026.05 | 608 | -6.74 | |
| CoupleLNSSeed=32026.05 | 600 | — | |
| SBSSeed=32026.05 | 595 | 0.84 | |
| CoupleLNSSeed=72026.05 | 578 | — | |
| SBS*Seed=22026.05 | 574 | -0.35 | |
| CoupleLNSSeed=22026.05 | 572 | — | |
| SBS*Seed=82026.05 | 571 | -0.53 | |
| CoupleLNSSeed=82026.05 | 568 | — | |
| CoupleLNSSeed=42026.05 | 567 | — | |
| SBS*Seed=02026.05 | 564 | -4.08 | |
| SBS*Seed=12026.05 | 557 | -14.36 | |
| SBS*Seed=Mean2026.05 | 548.4 | -5.01 | |
| CoupleLNSSeed=02026.05 | 541 | — | |
| CoupleLNSSeed=Mean2026.05 | 520.7 | — | |
| SBSSeed=82026.05 | 510 | 11.37 | |
| SBSSeed=72026.05 | 508 | 13.78 | |
| SBSSeed=02026.05 | 494 | 9.51 | |
| SBSSeed=Mean2026.05 | 483.38 | 5.04 | |
| CoupleLNSSeed=12026.05 | 477 | — | |
| SBSSeed=12026.05 | 467 | 2.14 | |
| SBS*Seed=62026.05 | 467 | -10.06 | |
| SBS*Seed=92026.05 | 467 | -3 | |
| SBSSeed=92026.05 | 454 | -0.22 | |
| CoupleLNSSeed=92026.05 | 453 | — | |
| SBS*Seed=52026.05 | 434 | -0.69 | |
| CoupleLNSSeed=52026.05 | 431 | — | |
| SBSSeed=52026.05 | 420 | 2.62 | |
| CoupleLNSSeed=62026.05 | 420 | — | |
| SBSSeed=62026.05 | 419 | 0.24 |