Multi-objective optimization on DTLZ1 (MSE, IGD+, HV)
3,250MSEDDMOEA/GAN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| DDMOEA/GANStrategy=baseline2025.11 | 3,250 | 84.5 | 1.18 | |
| IBEA-MSStrategy=baseline2025.11 | 3,990 | 187 | 1.06 | |
| TGPR-MOStrategy=baseline2025.11 | 4,730 | 163 | 1.07 | |
| QR+DRStrategy=dual-ranking (DR), Surrogate Model=QR, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 6,630 | 206 | 1.01 | |
| GPR(Matérn)+DRStrategy=dual-ranking (DR), Kernel=Matérn, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 7,940 | 133 | 1.12 | |
| BNN+DRStrategy=dual-ranking (DR), Surrogate Model=BNN, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 8,720 | 225 | 0.98 | |
| GPR(RBF)+DRStrategy=dual-ranking (DR), Kernel=RBF, Quantile level (τ)=0.9, Optimizer=NSGA-II2025.11 | 9,430 | 116 | 1.14 | |
| Prob-RVEAStrategy=baseline2025.11 | 109,000 | 270 | 0.67 | |
| Prob-MOEA/DStrategy=baseline2025.11 | 112,000 | 295 | 0.62 |