Multi-UAV path planning based on IB-ABC with restricted planned arrival sequence

Li Tan, Jiaqi Shi, Jing Gao*, Haoyu Wang, Hongtao Zhang, Yu Zhang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

Path planning is a key research issue in the field of unmanned aerial vehicle (UAV) applications. In practical applications, multi-objective path planning is usually required for multi-UAVs, so this paper proposes the improved balanced artificial bee colony (IB-ABC) algorithm to optimize multi-objective path planning. The algorithm adopts the ABC algorithm that emphasizes the global search capability, which is based on iterative feedback information. It uses single-element points, multi-element points, and iteration constraints to optimize the strategies of employed bees, follower bees, and scout bees, respectively. In terms of time and priority, simulation experiments prove that the IB-ABC algorithm can balance local and global search capabilities, accelerate the speed of convergence, and realize multi-UAV path planning in complex mountain environments.

源语言英语
页(从-至)1244-1257
页数14
期刊Robotica
41
4
DOI
出版状态已出版 - 12 4月 2023
已对外发布

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Tan, L., Shi, J., Gao, J., Wang, H., Zhang, H., & Zhang, Y. (2023). Multi-UAV path planning based on IB-ABC with restricted planned arrival sequence. Robotica, 41(4), 1244-1257. https://doi.org/10.1017/S0263574722001680