Dynamic Multi-objective Optimization on DF8 CEC2018
0.0497MIGDPSGN
Evaluation results
| Method | Links | |
|---|---|---|
| PSGNnt=5, tau_t=102026.03 | 0.0497 | |
| PSGNnt=10, tau_t=102026.03 | 0.0499 | |
| PSGNnt=10, tau_t=52026.03 | 0.0888 | |
| PSGNnt=5, tau_t=52026.03 | 0.0942 | |
| IGP-DMOEAnt=10, tau_t=102026.03 | 0.1073 | |
| IGP-DMOEAnt=5, tau_t=102026.03 | 0.1084 | |
| IGP-DMOEAnt=10, tau_t=52026.03 | 0.1096 | |
| IGP-DMOEAnt=5, tau_t=52026.03 | 0.1138 | |
| DD-DMOEAnt=10, tau_t=102026.03 | 0.1256 | |
| DD-DMOEAnt=5, tau_t=102026.03 | 0.1353 | |
| DIP-DMOEAnt=10, tau_t=102026.03 | 0.1366 | |
| DD-DMOEAnt=10, tau_t=52026.03 | 0.1374 | |
| KT-DMOEAnt=10, tau_t=102026.03 | 0.1449 | |
| KT-DMOEAnt=5, tau_t=102026.03 | 0.1479 | |
| DIP-DMOEAnt=5, tau_t=102026.03 | 0.1532 | |
| DIP-DMOEAnt=10, tau_t=52026.03 | 0.1541 | |
| DD-DMOEAnt=5, tau_t=52026.03 | 0.1594 | |
| DM-DMOEAnt=5, tau_t=102026.03 | 0.1649 | |
| KTM-DMOEAnt=10, tau_t=102026.03 | 0.167 | |
| DM-DMOEAnt=10, tau_t=102026.03 | 0.1685 | |
| DIP-DMOEAnt=5, tau_t=52026.03 | 0.1779 | |
| KTM-DMOEAnt=5, tau_t=102026.03 | 0.1804 | |
| VAREnt=5, tau_t=102026.03 | 0.1852 | |
| VAREnt=10, tau_t=102026.03 | 0.1858 | |
| DM-DMOEAnt=5, tau_t=52026.03 | 0.1974 | |
| KT-DMOEAnt=10, tau_t=52026.03 | 0.2023 | |
| DM-DMOEAnt=10, tau_t=52026.03 | 0.2031 | |
| KT-DMOEAnt=5, tau_t=52026.03 | 0.2044 | |
| VAREnt=10, tau_t=52026.03 | 0.2187 | |
| VAREnt=5, tau_t=52026.03 | 0.2194 | |
| KTM-DMOEAnt=10, tau_t=52026.03 | 0.2243 | |
| KTM-DMOEAnt=5, tau_t=52026.03 | 0.253 |