Table 4.
Mean normalized optimization results on UCAV path planning problem on different Maxgen. The numbers shown are the minimum objective function values found by each algorithm, averaged over 100 Monte Carlo simulations.
| Parameter | Algorithm | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Popsize | Maxgen | D | ACO | BA | BAM | BBO | DE | ES | GA | PBIL | PSO | SGA |
| 30 | 50 | 20 | 16.3819 | 16.6782 | 1.4842 | 14.1072 | 12.3797 | 20.5653 | 4.2541 | 219.9368 | 10.0760 | 4.5491 |
| 30 | 100 | 20 | 16.2884 | 14.9048 | 0.9337 | 13.5705 | 6.0887 | 20.6706 | 3.5523 | 166.4567 | 9.1725 | 3.4353 |
| 30 | 150 | 20 | 16.1408 | 14.4874 | 0.9123 | 11.7978 | 3.7267 | 20.1996 | 3.4269 | 142.1862 | 9.5459 | 3.1636 |
| 30 | 200 | 20 | 16.3976 | 12.4323 | 0.8000 | 11.8224 | 2.6358 | 20.8610 | 3.0080 | 131.1306 | 8.9917 | 2.6434 |
| 30 | 250 | 20 | 16.1958 | 11.4213 | 0.7422 | 10.0553 | 1.9715 | 20.7600 | 2.9160 | 119.6745 | 7.8005 | 3.1409 |