Multi-objective optimization on DTLZ3 (MSE, IGD+, HV)
30,900HVPMT-MOBO-DDPM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PMT-MOBO-DDPM2025.11 | 30,900 | — | — | |
| PPSL-MOBO2025.11 | 27,100 | — | — | |
| qEHVI2025.11 | 26,600 | — | — | |
| PSL-MOBO2025.11 | 23,100 | — | — | |
| PMT-MOBO-VAE2025.11 | 21,000 | — | — | |
| PMT-MOBO2025.11 | 3,780 | — | — | |
| ST-MOBO2025.11 | 2,240 | — | — | |
| qPAREGO2025.11 | 1,420 | — | — | |
| CDM-PSL2025.11 | 776 | — | — | |
| OCMOBO2025.11 | 620 | — | — | |
| IBEA-MSStrategy=baseline2025.11 | 1.19 | 110,000 | 224 | |
| DDMOEA/GANStrategy=baseline2025.11 | 1.19 | 12,400 | 229 | |
| GPR(RBF)+DRStrategy=dual-ranking (DR), Kernel=RBF, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 1.11 | 22,800 | 418 | |
| GPR(Matérn)+DRStrategy=dual-ranking (DR), Kernel=Matérn, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 1.11 | 22,700 | 424 | |
| QR+DRStrategy=dual-ranking (DR), Surrogate Model=QR, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 1.1 | 38,500 | 489 | |
| TGPR-MOStrategy=baseline2025.11 | 1.08 | 23,200 | 482 | |
| BNN+DRStrategy=dual-ranking (DR), Surrogate Model=BNN, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 1.08 | 37,000 | 526 | |
| Prob-RVEAStrategy=baseline2025.11 | 0.82 | 424,000 | 554 | |
| Prob-MOEA/DStrategy=baseline2025.11 | 0.79 | 451,000 | 594 |