Offline Multi-objective Optimization on DTLZ6
0.909MSEBNN+DR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| BNN+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.909 | 5.54 | 0.83 | |
| GPR (RBF)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.951 | 4.66 | 0.92 | |
| QR+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 1.38 | 5.22 | 0.86 | |
| TGPR-MONumber of training samples=1,0002025.11 | 2.13 | 3.61 | 1 | |
| GPR (Matern)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 2.45 | 3.99 | 0.99 | |
| DDMOEA/GANNumber of training samples=1,0002025.11 | 4.97 | 4.85 | 0.9 | |
| IBEA-MSNumber of training samples=1,0002025.11 | 8.27 | 1.23 | 1.16 | |
| Prob-RVEANumber of training samples=1,0002025.11 | 40.8 | 8.24 | 0.22 | |
| Prob-MOEA/DNumber of training samples=1,0002025.11 | 41.6 | 8.09 | 0.27 |