Multiobjective Optimization on WFG6 (train)
0.0483IGDMA-DAC
Evaluation Results
| Method | Links | |
|---|---|---|
| MA-DACM=32022.10 | 0.0483 | |
| MA-DACNumber of objectives=32022.10 | 0.0483 | |
| MOEA/D-OP2-AWANumber of objectives=32022.10 | 0.0608 | |
| MOEA/D-FRRMABM=32022.10 | 0.0627 | |
| MOEA/D-OP2M=32022.10 | 0.0671 | |
| MOEA/D-AWANumber of objectives=32022.10 | 0.0685 | |
| MOEA/DM=32022.10 | 0.0694 | |
| MOEA/DNumber of objectives=32022.10 | 0.0694 | |
| MA-DACM=52022.10 | 0.1942 | |
| MA-DACNumber of objectives=52022.10 | 0.1942 | |
| MA-DACM=72022.10 | 0.3112 | |
| MA-DACNumber of objectives=72022.10 | 0.3112 | |
| MOEA/D-OP2-AWANumber of objectives=52022.10 | 0.3143 | |
| MOEA/D-AWANumber of objectives=52022.10 | 0.319 | |
| MOEA/D-FRRMABM=52022.10 | 0.3272 | |
| MOEA/D-OP2M=52022.10 | 0.3285 | |
| MOEA/DM=52022.10 | 0.3518 | |
| MOEA/DNumber of objectives=52022.10 | 0.3518 | |
| MOEA/D-FRRMABM=72022.10 | 0.4417 | |
| MOEA/D-AWANumber of objectives=72022.10 | 0.4727 | |
| MOEA/D-OP2-AWANumber of objectives=72022.10 | 0.477 | |
| MOEA/D-OP2M=72022.10 | 0.4797 | |
| MOEA/DM=72022.10 | 0.4869 | |
| MOEA/DNumber of objectives=72022.10 | 0.4869 |