Table 6.
Best normalized optimization results on UCAV path planning problem on different D. 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 | 200 | 5 | 10.1164 | 10.6909 | 4.3575 | 10.2341 | 4.3568 | 12.3746 | 5.2471 | 8.5576 | 5.6082 | 9.9596 |
| 30 | 200 | 10 | 7.4746 | 2.3600 | 1.3953 | 2.6157 | 1.3952 | 8.0656 | 1.5716 | 25.6821 | 2.1101 | 1.5498 |
| 30 | 200 | 15 | 9.8297 | 3.0757 | 0.6094 | 2.0896 | 0.6204 | 7.7408 | 0.8299 | 61.4656 | 3.2257 | 0.9700 |
| 30 | 200 | 20 | 10.0836 | 2.3950 | 0.4679 | 2.7765 | 0.4913 | 9.6276 | 0.8600 | 72.2897 | 2.3738 | 0.8426 |
| 30 | 200 | 25 | 11.5490 | 5.0173 | 0.4484 | 4.8474 | 0.6265 | 12.3169 | 1.5243 | 113.7537 | 2.3740 | 1.3743 |
| 30 | 200 | 30 | 13.8615 | 7.2470 | 0.4671 | 10.9403 | 1.1301 | 18.0090 | 1.7026 | 152.0173 | 3.6751 | 1.5147 |
| 30 | 200 | 35 | 16.9476 | 7.4484 | 0.4795 | 10.4147 | 1.2849 | 16.8613 | 2.1602 | 254.0060 | 5.4765 | 1.5319 |
| 30 | 200 | 40 | 17.6142 | 8.6500 | 0.6028 | 14.4997 | 3.9617 | 19.8244 | 2.4178 | 315.4459 | 5.5384 | 1.9406 |