Offline Multi-Objective Optimization on Off-MOO-Bench Synthetic
5.66Average IGDoffline RankDOMOO
Evaluation results
| Method | Links | |
|---|---|---|
| DOMOONumber of solutions=256, Percentile=50th2026.06 | 5.66 | |
| Multiple ModelsNumber of solutions=256, Percentile=50th2026.06 | 5.75 | |
| End-to-End + PcGradNumber of solutions=256, Percentile=50th2026.06 | 6.4 | |
| Multi HeadNumber of solutions=256, Percentile=50th2026.06 | 6.88 | |
| Multiple Models + IOMNumber of solutions=256, Percentile=50th2026.06 | 7.02 | |
| End-to-EndNumber of solutions=256, Percentile=50th2026.06 | 7.38 | |
| Multi Head + PcGradNumber of solutions=256, Percentile=50th2026.06 | 7.83 | |
| D(best)Number of solutions=256, Percentile=50th2026.06 | 8.11 | |
| MultipleModels + COMsNumber of solutions=256, Percentile=50th2026.06 | 8.57 | |
| ParetoFlowNumber of solutions=256, Percentile=50th2026.06 | 8.63 | |
| Multiple Models + ICTNumber of solutions=256, Percentile=50th2026.06 | 8.81 | |
| Multiple Models + Tri-MentoringNumber of solutions=256, Percentile=50th2026.06 | 9.77 | |
| Multiple Models + RoMANumber of solutions=256, Percentile=50th2026.06 | 10.45 | |
| Multi Head + GradNormNumber of solutions=256, Percentile=50th2026.06 | 10.56 | |
| MOBO-qParEGONumber of solutions=256, Percentile=50th2026.06 | 10.82 | |
| MOBONumber of solutions=256, Percentile=50th2026.06 | 10.85 | |
| End-to-End + GradNormNumber of solutions=256, Percentile=50th2026.06 | 12.01 | |
| MOBO-JESNumber of solutions=256, Percentile=50th2026.06 | 14.58 |