Offline Multi-Objective Optimization on Off-MOO-Bench RE
5.32Average IGDoffline RankMultiple Models + IOM
Evaluation results
| Method | Links | |
|---|---|---|
| Multiple Models + IOMNumber of solutions=256, Percentile=50th2026.06 | 5.32 | |
| ParetoFlowNumber of solutions=256, Percentile=50th2026.06 | 5.35 | |
| D(best)Number of solutions=256, Percentile=50th2026.06 | 5.63 | |
| DOMOONumber of solutions=256, Percentile=50th2026.06 | 6.21 | |
| MOBO-qParEGONumber of solutions=256, Percentile=50th2026.06 | 7.56 | |
| Multiple Models + ICTNumber of solutions=256, Percentile=50th2026.06 | 7.62 | |
| Multi HeadNumber of solutions=256, Percentile=50th2026.06 | 7.71 | |
| Multiple ModelsNumber of solutions=256, Percentile=50th2026.06 | 7.96 | |
| Multiple Models + Tri-MentoringNumber of solutions=256, Percentile=50th2026.06 | 8.49 | |
| End-to-EndNumber of solutions=256, Percentile=50th2026.06 | 9.06 | |
| MultipleModels + COMsNumber of solutions=256, Percentile=50th2026.06 | 9.12 | |
| End-to-End + PcGradNumber of solutions=256, Percentile=50th2026.06 | 9.26 | |
| Multiple Models + RoMANumber of solutions=256, Percentile=50th2026.06 | 9.43 | |
| MOBO-JESNumber of solutions=256, Percentile=50th2026.06 | 9.51 | |
| Multi Head + PcGradNumber of solutions=256, Percentile=50th2026.06 | 9.71 | |
| MOBONumber of solutions=256, Percentile=50th2026.06 | 10.57 | |
| End-to-End + GradNormNumber of solutions=256, Percentile=50th2026.06 | 11.18 | |
| Multi Head + GradNormNumber of solutions=256, Percentile=50th2026.06 | 11.75 |