Multi-Task Multi-Objective Optimization on CEC MTMOO ins1 2019
1.031MSSKAN
Evaluation results
| Method | Links | |
|---|---|---|
| KANBackbone=MO-MaTDE, FE budget=2002025.12 | 1.031 | |
| KANBackbone=MTEA-DCK, FE budget=2002025.12 | 0.942 | |
| FTGPBackbone=MO-MaTDE, FE budget=2002025.12 | 0.852 | |
| FTGPBackbone=MTEA-DCK, FE budget=2002025.12 | 0.205 | |
| REALBackbone=MO-MaTDE, FE budget=2002025.12 | -0.153 | |
| REALBackbone=MTEA-DCK, FE budget=2002025.12 | -0.154 | |
| RBFNBackbone=MTEA-DCK, FE budget=2002025.12 | -0.587 | |
| RBFNBackbone=MO-MaTDE, FE budget=2002025.12 | -0.645 | |
| Q-MetaSurBackbone=MTEA-DCK, FE budget=2002025.12 | -0.715 | |
| Q-MetaSurBackbone=MO-MaTDE, FE budget=2002025.12 | -0.777 |