Multi-objective optimization on DTLZ6 (MSE, IGD+, HV)
0.0108MSEProb-MOEA/D
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Prob-MOEA/DStrategy=baseline2025.11 | 0.0108 | 8.06 | 0.51 | |
| Prob-RVEAStrategy=baseline2025.11 | 0.0144 | 7.77 | 0.55 | |
| QR+DRStrategy=dual-ranking (DR), Surrogate Model=QR, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 0.215 | 6.66 | 0.68 | |
| GPR(RBF)+DRStrategy=dual-ranking (DR), Kernel=RBF, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 0.632 | 4.98 | 0.89 | |
| BNN+DRStrategy=dual-ranking (DR), Surrogate Model=BNN, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 0.903 | 5.48 | 0.83 | |
| GPR(Matérn)+DRStrategy=dual-ranking (DR), Kernel=Matérn, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 1.45 | 4.51 | 0.94 | |
| TGPR-MOStrategy=baseline2025.11 | 2.03 | 3.73 | 0.99 | |
| IBEA-MSStrategy=baseline2025.11 | 5.17 | 1.78 | 1.14 | |
| DDMOEA/GANStrategy=baseline2025.11 | 7.28 | 5.57 | 0.77 |