Offline Multi-objective Optimization on DTLZ1
3,720MSEDDMOEA/GAN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DDMOEA/GANNumber of training samples=1,0002025.11 | 3,720 | 91.8 | 1.18 | |
| TGPR-MONumber of training samples=1,0002025.11 | 4,190 | 199 | 1.01 | |
| QR+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 4,250 | 134 | 1.11 | |
| IBEA-MSNumber of training samples=1,0002025.11 | 4,670 | 140 | 1.13 | |
| BNN+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 5,260 | 218 | 0.98 | |
| Prob-MOEA/DNumber of training samples=1,0002025.11 | 8,440 | 197 | 0.95 | |
| GPR (RBF)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 12,100 | 134 | 1.12 | |
| GPR (Matern)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 14,900 | 132 | 1.13 | |
| Prob-RVEANumber of training samples=1,0002025.11 | 30,900 | 195 | 0.91 |