Offline Multi-Objective Optimization on Synthetic
4.95Average IGDoffline RankDOMOO
Evaluation results
| Method | Links | |
|---|---|---|
| DOMOO2026.06 | 4.95 | |
| Multiple Models2026.06 | 6.58 | |
| End-to-EndOptimization=PcGrad2026.06 | 6.8 | |
| Multiple ModelsExtension=IOM2026.06 | 7 | |
| Multi HeadOptimization=PcGrad2026.06 | 7.55 | |
| Multi Head2026.06 | 7.71 | |
| End-to-End2026.06 | 7.8 | |
| ParetoFlow2026.06 | 8.82 | |
| Multiple ModelsExtension=ICT2026.06 | 8.99 | |
| MOBO2026.06 | 8.99 | |
| MOBOAcquisition Function=qParEGO2026.06 | 9.2 | |
| Multiple ModelsExtension=COMs2026.06 | 9.4 | |
| Multiple ModelsExtension=Tri-Mentoring2026.06 | 9.63 | |
| D(best)2026.06 | 9.85 | |
| Multiple ModelsExtension=RoMA2026.06 | 9.9 | |
| End-to-EndOptimization=GradNorm2026.06 | 10.79 | |
| Multi HeadOptimization=GradNorm2026.06 | 10.99 | |
| MOBOAcquisition Function=JES2026.06 | 14.92 |