Multi-Task Multi-Objective Optimization on CEC MTMOO ins4 2019
1.171MSSKAN
Evaluation results
| Method | Links | |
|---|---|---|
| KANBackbone=MO-MaTDE, FE budget=2002025.12 | 1.171 | |
| KANBackbone=MTEA-DCK, FE budget=2002025.12 | 1.159 | |
| FTGPBackbone=MO-MaTDE, FE budget=2002025.12 | 0.646 | |
| FTGPBackbone=MTEA-DCK, FE budget=2002025.12 | 0.538 | |
| RBFNBackbone=MO-MaTDE, FE budget=2002025.12 | -0.148 | |
| RBFNBackbone=MTEA-DCK, FE budget=2002025.12 | -0.342 | |
| REALBackbone=MTEA-DCK, FE budget=2002025.12 | -0.734 | |
| Q-MetaSurBackbone=MO-MaTDE, FE budget=2002025.12 | -0.756 | |
| REALBackbone=MO-MaTDE, FE budget=2002025.12 | -0.763 | |
| Q-MetaSurBackbone=MTEA-DCK, FE budget=2002025.12 | -0.771 |