Table 8 Comparison of algorithm performance after 50 repeated runs.
From: An improve crested porcupine algorithm for UAV delivery path planning in challenging environments
| Â | Â | Terrain 1 | Terrain 2 | Best Rank |
|---|---|---|---|---|
MODMA | Best | 1543.4667 | 1962.5622 | 6 |
Mean | 1787.71 | 2322.0208 | ||
Std | 138.3065 | 477.9647 | ||
Time (s) | 52.0658 | 46.4426 | ||
HGWODE | Best | 792.8862 | 972.3973 | 3 |
Mean | 960.8046 | 998.4625 | ||
Std | 192.7732 | 40.6152 | ||
Time (s) | 17.1352 | 18.042 | ||
CAOSA | Best | 997.7967 | 1193.8264 | 4 |
Mean | 1272.9643 | 1684.2112 | ||
Std | 143.1121 | 253.2906 | ||
Time (s) | 10.3176 | 10.6027 | ||
HISOS-SCPSO | Best | 788.5011 | 955.3776 | 2 |
Mean | 1236.262 | 1444.3564 | ||
Std | 276.9461 | 328.7374 | ||
Time (s) | 26.7883 | 28.1941 | ||
CPO | Best | 1140.3637 | 1063.8942 | 5 |
Mean | 1311.8547 | 1244.8399 | ||
Std | 72.9508 | 103.5488 | ||
Time (s) | 4.1338 | 4.2789 | ||
ICPO | Best | 778.1775 | 954.0118 | 1 |
Mean | 1021.7682 | 990.5413 | ||
Std | 168.9703 | 43.1635 | ||
Time (s) | 4.7221 | 6.6796 |
