| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| DF and FDA benchmark suites (DF1-DF14, FDA1-FDA5) MIGD values Modified | DB-GEN | MIGD0.0075 | 285 | 17d ago | |
| CEC DF2 2018 | MHV0.8368 | 32 | 19d ago | ||
| DF14 CEC2018 | DD-DMOEA | MIGD0.0739 | 32 | 19d ago | |
| DF13 CEC2018 | MIGD0.2248 | 32 | 19d ago | ||
| DF12 CEC2018 | MIGD0.9494 | 32 | 19d ago | ||
| DF11 CEC2018 | MIGD0.1313 | 32 | 19d ago | ||
| DF10 CEC2018 | DD-DMOEA | MIGD0.1668 | 32 | 19d ago | |
| DF9 CEC2018 | MIGD0.0991 | 32 | 19d ago | ||
| DF8 CEC2018 | MIGD0.0497 | 32 | 19d ago | ||
| DF7 CEC2018 | DD-DMOEA | MIGD0.1649 | 32 | 19d ago | |
| DF6 CEC2018 | DD-DMOEA | MIGD0.469 | 32 | 19d ago | |
| DF5 CEC2018 | MIGD0.0167 | 32 | 19d ago | ||
| DF4 CEC2018 | MIGD0.1057 | 32 | 19d ago | ||
| DF3 CEC2018 | DD-DMOEA | MIGD0.0689 | 32 | 19d ago | |
| DF2 CEC2018 | DD-DMOEA | MIGD0.0227 | 32 | 19d ago | |
| DF1 CEC2018 | DD-DMOEA | MIGD0.0227 | 32 | 19d ago | |
| CEC DF3 2018 | MHV Score50.2 | 16 | 19d ago | ||
| FDA5 | Ours (DB-GEN) | MHV0.498 | 15 | 17d ago | |
| FDA4 | Ours (DB-GEN) | MHV0.493 | 15 | 17d ago | |
| FDA3 | Ours (DB-GEN) | MHV0.672 | 15 | 17d ago | |
| FDA 2 | Ours (DB-GEN) | Maximum Hypervolume (MHV)2 | 15 | 17d ago | |
| FDA1 | MHV0.807 | 15 | 17d ago | ||
| ROA (ENV5) | DD-DMOEA | Hypervolume (HV)0.303 | 8 | 19d ago | |
| ROA (ENV4) | Hypervolume (HV)0.231 | 8 | 19d ago | ||
| ROA (ENV3) | DD-DMOEA | Hypervolume (HV)0.326 | 8 | 19d ago |
