Multi-UAV Trajectory Optimization Under Dynamic Threats: An Enhanced GWO Algorithm Integrating a Priori and Real-Time Data-Reference-Cited by-同舟云学术

Multi-UAV Trajectory Optimization Under Dynamic Threats: An Enhanced GWO Algorithm Integrating a Priori and Real-Time Data

Published:2025-06-04 Issue:1 Volume:18 Page:
ISSN:1875-6883
Container-title:International Journal of Computational Intelligence Systems
language:en
Short-container-title:Int J Comput Intell Syst

Author:

Zhou Zihan,Guo Yanhong,Wang Yitao,Lyu Jingfan,Gong Haoran,Ye Xin,Li Yachao

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s44196-025-00863-y.pdf

Reference22 articles.

1. Sud, A., Andersen, E., Curtis, S., Lin, M.C., Manocha, D.: Real-time path planning in dynamic virtual environments using multiagent navigation graphs. IEEE Trans. Visual. Comput. Graph. 14(3), 526–538 (2008). https://doi.org/10.1109/TVCG.2008.27. (IEEE VGTC; IEEE Comp Soc. IEEE Virtual Reality 2007 Conference, Charlotte, NC, MAR 10-14, 2007)

2. Qin, B., Zhang, D., Tang, S., Wang, M.: Distributed grouping cooperative dynamic task assignment method of uav swarm. Appl. Sci. Basel (2022). https://doi.org/10.3390/app12062865

3. Wang, C., Wu, A., Hou, Y., Liang, X., Xu, L., Wang, X.: Optimal deployment of swarm positions in cooperative interception of multiple uav swarms. Digit. Commun. Netw. 9(2), 567–579 (2023). https://doi.org/10.1016/j.dcan.2022.04.002

4. Wen, L., Zhen, Z., Wan, T., Hu, Z., Yan, C.: Distributed cooperative fencing scheme for uav swarm based on self-organized behaviors. Aerosp. Sci. Technol. (2023). https://doi.org/10.1016/j.ast.2023.108327

5. Yang, Z., Yan, S., Ming, C., Wang, X.: Intelligent dynamic trajectory planning of uavs: Addressing unknown environments and intermittent target loss. Drones 5, 8 (2024)