@inproceedings{8baabd6cb8934626a0ece328d23acbf4,
title = "APF-APSO: UAV Swarm Cooperation Algorithm for Multi-target Search in Complex Reconnaissance Environments",
abstract = "Multi-target search is a key part of UAV swarm cooperative reconnaissance. UAVs need to avoid threats in complex reconnaissance environments. In this paper, an optimization algorithm combining the artificial potential field with adaptive particle swarm algorithm (APF-APSO) is proposed for UAV swarm cooperative multi-target search mission. Firstly, we combine the PSO algorithm with the APF algorithm, adding a repulsive force field generated by the UAV's search path and using the force field function as a fitness function, which improves the obstacle avoidance and search efficiency of the UAV swarm. Secondly, a method for self-adaptive adjustment of personal cognition and social cognition factors is proposed, and an adaptive adjustment strategy of inertia weight is introduced to avoid the search falling into local optimum. The simulation results show that the proposed algorithm has higher search efficiency compared with other two PSO baseline algorithms in the same situation.",
keywords = "APF, Multi-target search, PSO, UAV swarm",
author = "Zhi Li and Xinting Zhang and Lei Lei and Lijuan Zhang and Xiaoqin Song",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; 2022 Workshop on Electronics Communication Engineering ; Conference date: 28-10-2022 Through 31-10-2022",
year = "2023",
doi = "10.1117/12.2674352",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Letian Huang",
booktitle = "2022 Workshop on Electronics Communication Engineering",
address = "United States",
}