Offline Multi-Objective Optimization on Off-MOO-Bench Sci-Design (50th percentile)
2.25Average HV RankD(best)
Evaluation results
| Method | Links | |
|---|---|---|
| D(best)Evaluation percentile=50th2026.06 | 2.25 | |
| Multi Head + GradNormEvaluation percentile=50th2026.06 | 7.42 | |
| Multiple Models + ICTEvaluation percentile=50th2026.06 | 7.62 | |
| DOMOOEvaluation percentile=50th2026.06 | 7.7 | |
| MOBO-qParEGOEvaluation percentile=50th2026.06 | 7.77 | |
| Multiple ModelsEvaluation percentile=50th2026.06 | 7.88 | |
| Multiple Models + COMEvaluation percentile=50th2026.06 | 7.9 | |
| Multi HeadEvaluation percentile=50th2026.06 | 7.95 | |
| End-to-EndEvaluation percentile=50th2026.06 | 8.3 | |
| Multiple Models + RoMAEvaluation percentile=50th2026.06 | 8.47 | |
| End-to-End + PcGradEvaluation percentile=50th2026.06 | 8.6 | |
| Multiple Models + IOMEvaluation percentile=50th2026.06 | 8.62 | |
| Multiple Models + Tri-MentoringEvaluation percentile=50th2026.06 | 9.78 | |
| Multi Head + PcGradEvaluation percentile=50th2026.06 | 9.88 | |
| ParetoFlowEvaluation percentile=50th2026.06 | 9.88 | |
| End-to-End + GradNormEvaluation percentile=50th2026.06 | 11.65 | |
| MOBOEvaluation percentile=50th2026.06 | 12.38 |