Offline Multi-objective Optimization on DTLZ5
0MSEGPR (RBF)+DR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GPR (RBF)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0 | 0.0027 | 1.1 | |
| GPR (Matern)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0 | 0.0033 | 1.1 | |
| TGPR-MONumber of training samples=1,0002025.11 | 0.0004 | 0.0094 | 1.1 | |
| QR+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.0054 | 0.0128 | 1.09 | |
| IBEA-MSNumber of training samples=1,0002025.11 | 0.0506 | 0.0126 | 1.09 | |
| BNN+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.526 | 1.29 | 0.56 | |
| Prob-MOEA/DNumber of training samples=1,0002025.11 | 1.45 | 0.871 | 0.6 | |
| Prob-RVEANumber of training samples=1,0002025.11 | 1.82 | 0.899 | 0.65 | |
| DDMOEA/GANNumber of training samples=1,0002025.11 | 3.19 | 1.88 | 0.17 |