Dynamic Multi-objective Optimization on DF10 CEC2018
0.1668MIGDDD-DMOEA
Evaluation results
| Method | Links | |
|---|---|---|
| DD-DMOEAnt=5, tau_t=52026.03 | 0.1668 | |
| DD-DMOEAnt=10, tau_t=52026.03 | 0.1744 | |
| DD-DMOEAnt=5, tau_t=102026.03 | 0.1787 | |
| DD-DMOEAnt=10, tau_t=102026.03 | 0.1896 | |
| PSGNnt=5, tau_t=102026.03 | 0.1971 | |
| DIP-DMOEAnt=10, tau_t=52026.03 | 0.2035 | |
| DIP-DMOEAnt=10, tau_t=102026.03 | 0.2097 | |
| DIP-DMOEAnt=5, tau_t=102026.03 | 0.2111 | |
| PSGNnt=10, tau_t=102026.03 | 0.2159 | |
| DIP-DMOEAnt=5, tau_t=52026.03 | 0.2169 | |
| PSGNnt=5, tau_t=52026.03 | 0.2253 | |
| KTM-DMOEAnt=5, tau_t=102026.03 | 0.236 | |
| PSGNnt=10, tau_t=52026.03 | 0.2455 | |
| DM-DMOEAnt=5, tau_t=102026.03 | 0.2703 | |
| KTM-DMOEAnt=5, tau_t=52026.03 | 0.2751 | |
| DM-DMOEAnt=5, tau_t=52026.03 | 0.2831 | |
| VAREnt=5, tau_t=102026.03 | 0.2843 | |
| KT-DMOEAnt=5, tau_t=102026.03 | 0.2898 | |
| KTM-DMOEAnt=10, tau_t=102026.03 | 0.2945 | |
| VAREnt=5, tau_t=52026.03 | 0.3077 | |
| KT-DMOEAnt=5, tau_t=52026.03 | 0.3093 | |
| KTM-DMOEAnt=10, tau_t=52026.03 | 0.3103 | |
| DM-DMOEAnt=10, tau_t=102026.03 | 0.3238 | |
| DM-DMOEAnt=10, tau_t=52026.03 | 0.3377 | |
| KT-DMOEAnt=10, tau_t=102026.03 | 0.3417 | |
| KT-DMOEAnt=10, tau_t=52026.03 | 0.3481 | |
| VAREnt=10, tau_t=102026.03 | 0.3485 | |
| VAREnt=10, tau_t=52026.03 | 0.3625 | |
| IGP-DMOEAnt=10, tau_t=102026.03 | 0.5829 | |
| IGP-DMOEAnt=5, tau_t=102026.03 | 0.6018 | |
| IGP-DMOEAnt=10, tau_t=52026.03 | 0.614 | |
| IGP-DMOEAnt=5, tau_t=52026.03 | 0.666 |