Table 2.
Best normalized optimization results on UCAV path planning problem on different Maxgen. The numbers shown are the best results found after 100 Monte Carlo simulations of each algorithm.
| Parameter | Algorithm | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Popsize | Maxgen | D | ACO | BA | BAM | BBO | DE | ES | GA | PBIL | PSO | SGA |
| 30 | 50 | 20 | 10.7202 | 4.0662 | 0.6208 | 7.0272 | 2.4179 | 9.6276 | 1.2604 | 100.0527 | 2.7827 | 1.7370 |
| 30 | 100 | 20 | 10.8912 | 4.7582 | 0.4900 | 4.7484 | 0.8503 | 10.6318 | 1.5073 | 98.3640 | 2.3469 | 1.3218 |
| 30 | 150 | 20 | 9.9096 | 4.1112 | 0.4724 | 4.2311 | 0.5319 | 11.1469 | 1.0991 | 71.2093 | 2.3738 | 1.1559 |
| 30 | 200 | 20 | 12.3080 | 3.1463 | 0.4590 | 2.7765 | 0.5047 | 11.2403 | 1.0792 | 72.8244 | 3.4276 | 0.7595 |
| 30 | 250 | 20 | 7.1358 | 4.4072 | 0.4636 | 2.6109 | 0.4792 | 12.3745 | 1.0640 | 74.9071 | 2.5221 | 1.0166 |