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With the rapid development of UAV technology, UAV has been widely used in cooperative target search. However, the existing methods are difficult to search efficiently in complex environments. In this paper, we propose a multi-UAV cooperative search algorithm based on discrete particle swarm optimization-genetic algorithm (DPSO-GA). Firstly, the environmental information map was established to help the UAV better perceive the external environment. Then, the rolling horizon optimization strategy is used to construct the optimization function, and the DPSO-GA algorithm is used to drive the cooperative search of UAVs. In addition, simulation results under different termination conditions show that the proposed method can effectively improve the search efficiency and meet the safety requirements of UAV.

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Multi-UAV Cooperative Search Algorithm Based on DPSO-GA

  • 会议论文

  • 发表日期：

    2026年

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  • Chong-Yang Xia,
  • Chuang Song,
  • Ji-Xiang Jiang,
  • Jia-Shuai Si,
  • Xiang-Gui Guo

摘要

With the rapid development of UAV technology, UAV has been widely used in cooperative target search. However, the existing methods are difficult to search efficiently in complex environments. In this paper, we propose a multi-UAV cooperative search algorithm based on discrete particle swarm optimization-genetic algorithm (DPSO-GA). Firstly, the environmental information map was established to help the UAV better perceive the external environment. Then, the rolling horizon optimization strategy is used to construct the optimization function, and the DPSO-GA algorithm is used to drive the cooperative search of UAVs. In addition, simulation results under different termination conditions show that the proposed method can effectively improve the search efficiency and meet the safety requirements of UAV.