Offline Multi-objective Optimization on DTLZ4 (MSE, IGD+, HV)
0.0014MSEQR+DR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| QR+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.0014 | 0.376 | 0.82 | |
| IBEA-MSNumber of training samples=1,0002025.11 | 0.0052 | 0.342 | 0.98 | |
| GPR (Matern)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.0428 | 0.109 | 1.08 | |
| GPR (RBF)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.206 | 0.276 | 1.02 | |
| BNN+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.667 | 1.84 | 0.27 | |
| TGPR-MONumber of training samples=1,0002025.11 | 0.847 | 0.821 | 0.86 | |
| Prob-RVEANumber of training samples=1,0002025.11 | 1.15 | 0.984 | 0.62 | |
| Prob-MOEA/DNumber of training samples=1,0002025.11 | 1.54 | 0.851 | 0.64 | |
| DDMOEA/GANNumber of training samples=1,0002025.11 | 2.16 | 0.998 | 0.58 |