[5] [5] LI J, LIAO C, ZHANG W, et al. UAV path planning model based on R5DOS model improved A-star algorithm［J］. Applied Sciences, 2022, 12(22): 11338.

[6] [6] QI B K, LI M Q, YANG Y, et al. Research on UAV path planning obstacle avoidance algorithm based on improved artificial potential field method［C］//Journal of Physics: Conference Series. Hangzhou: IOP Publishing, 2021: 012060.

[10] [10] LIU G, SHU C, LIANG Z W, et al. A modified sparrow search algorithm with application in 3D route planning for UAV［J］. Sensors, 2021, 21(4): 1224.

[11] [11] XUE J K, SHEN B. Dung beetle optimizer: a new meta-heuristic algorithm for global optimization［J］. The Journal of Supercomputing, 2023, 79: 7305-7336.

[12] [12] JARRAY R, AL-DHAIFALLAH M, REZK H, et al. Parallel cooperative coevolutionary grey wolf optimizer for path planning problem of unmanned aerial vehicles［J］. Sensors, 2022, 22(5): 1826.

[14] [14] JAMSHIDI V, NEKOUKAR V, REFAN M H. Real time UAV path planning by parallel grey wolf optimization with align coefficient on CAN bus［J］. Cluster Computing, 2021, 24: 2495-2509.

[18] [18] YANG C, YANG H, ZHU D, et al. A multi-mechanism balanced advanced learning sparrow search algorithm for UAV path planning［J］. Cluster Computing, 2024, 27: 6623-6666.

[23] [23] FAN Q, CHEN Z, XIA Z. A novel quasi-reflected Harris hawks optimization algorithm for global optimization problems［J］. Soft Computing, 2020, 24: 14825-14843.

[25] [25] KENNEDY J, EBERHART R. Particle swarm optimization［C］//International Conference on Neural Networks. Perth: IEEE, 1995: 1942-1948.

[26] [26] ZHANG X Q, ZHANG Y Y, MING Z F. Improved dynamic grey wolf optimizer［J］. Frontiers of Information Technology & Electronic Engineering, 2021, 22: 877-890.

[27] [27] XUE J K, SHEN B. A novel swarm intelligence optimization approach: sparrow search algorithm［J］. Systems Science & Control Engineering, 2020, 8(1): 22-34.