Table 9 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 | 1389.7489 | 1640.1152 | 6 |
Mean | 1733.2538 | 1972.0262 | ||
Std | 237.9423 | 195.6743 | ||
Time (s) | 31.51 | 30.2143 | ||
HGWODE | Best | 977.9323 | 1265.811 | 3 |
Mean | 1201.737 | 1446.6392 | ||
Std | 82.8609 | 125.7724 | ||
Time (s) | 14.9854 | 14.4587 | ||
CAOSA | Best | 1273.7542 | 1349.1382 | 5 |
Mean | 1574.7066 | 1714.2137 | ||
Std | 216.8093 | 153.7684 | ||
Time (s) | 8.8616 | 8.7456 | ||
HISOS-SCPSO | Best | 450.1434 | 1244.5138 | 2 |
Mean | 1289.7589 | 1446.9648 | ||
Std | 476.3155 | 223.1161 | ||
Time (s) | 22.7995 | 22.8503 | ||
CPO | Best | 987.003 | 1257.7766 | 4 |
Mean | 1189.3776 | 1422.957 | ||
Std | 111.7632 | 83.2302 | ||
Time (s) | 3.3244 | 3.0312 | ||
ICPO | Best | 366.2789 | 910.1682 | 1 |
Mean | 821.3689 | 1244.8609 | ||
Std | 247.298 | 183.3681 | ||
Time (s) | 5.3793 | 4.9982 |
