Multi-Task Multi-Objective Optimization on CEC MTMOO ins3 2019
1.568MSSRBFN
Evaluation results
| Method | Links | |
|---|---|---|
| RBFNBackbone=MO-MaTDE, FE budget=2002025.12 | 1.568 | |
| KANBackbone=MO-MaTDE, FE budget=2002025.12 | 0.633 | |
| FTGPBackbone=MO-MaTDE, FE budget=2002025.12 | 0.593 | |
| RBFNBackbone=MTEA-DCK, FE budget=2002025.12 | 0.549 | |
| KANBackbone=MTEA-DCK, FE budget=2002025.12 | 0.099 | |
| FTGPBackbone=MTEA-DCK, FE budget=2002025.12 | -0.293 | |
| REALBackbone=MTEA-DCK, FE budget=2002025.12 | -0.473 | |
| REALBackbone=MO-MaTDE, FE budget=2002025.12 | -0.51 | |
| Q-MetaSurBackbone=MO-MaTDE, FE budget=2002025.12 | -0.936 | |
| Q-MetaSurBackbone=MTEA-DCK, FE budget=2002025.12 | -1.23 |