Multi-objective Optimization on DTLZ2 (MSE, IGD+, HV)
0MSEGPR (RBF)+DR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GPR (RBF)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0 | 0.0026 | 1.11 | |
| GPR (Matern)+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0 | 0.0031 | 1.11 | |
| TGPR-MONumber of training samples=1,0002025.11 | 0.0004 | 0.0206 | 1.07 | |
| QR+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.0054 | 0.0129 | 1.11 | |
| IBEA-MSNumber of training samples=1,0002025.11 | 0.0506 | 0.0136 | 1.11 | |
| BNN+DRNumber of training samples=1,000, Tau (τ)=0.902025.11 | 0.275 | 1.07 | 0.75 | |
| Prob-MOEA/DNumber of training samples=1,0002025.11 | 1.77 | 1.06 | 0.58 | |
| Prob-RVEANumber of training samples=1,0002025.11 | 1.93 | 0.984 | 0.66 | |
| DDMOEA/GANNumber of training samples=1,0002025.11 | 3.45 | 1.54 | 0.47 |