Multi-Task Multi-Objective Optimization on CEC MTMOO ins6 2019
-1.034MSSQ-MetaSur
Evaluation results
| Method | Links | |
|---|---|---|
| Q-MetaSurBackbone=MTEA-DCK, FE budget=2002025.12 | -1.034 | |
| Q-MetaSurBackbone=MO-MaTDE, FE budget=2002025.12 | -1.028 | |
| REALBackbone=MO-MaTDE, FE budget=2002025.12 | -0.675 | |
| REALBackbone=MTEA-DCK, FE budget=2002025.12 | -0.633 | |
| FTGPBackbone=MTEA-DCK, FE budget=2002025.12 | -0.405 | |
| FTGPBackbone=MO-MaTDE, FE budget=2002025.12 | 0.27 | |
| KANBackbone=MO-MaTDE, FE budget=2002025.12 | 0.561 | |
| KANBackbone=MTEA-DCK, FE budget=2002025.12 | 0.61 | |
| RBFNBackbone=MTEA-DCK, FE budget=2002025.12 | 0.748 | |
| RBFNBackbone=MO-MaTDE, FE budget=2002025.12 | 1.586 |