基于多策略 GWO 算法的不确定环境下异构多无人机任务分配

An Zhang, Mi Yang, Wenhao Bi, Baichuan Zhang, Yunong Wang

科研成果: 期刊稿件文章同行评审

19 引用 (Scopus)

摘要

To solve the problem of task allocation in reconnaissance and attack on ground targets by multi-UAVs with complex constraints,the impact of multiple uncertain factors such as uncertain task execution time,target disappear⁃ ance time and UAV cruise speed on the task allocation results is considered. A fuzzy chance constrained program⁃ ming model for multi-UAV task allocation is constructed based on the fuzzy credibility theory,with minimization of the total cost as the optimization goal. In addition,a Multi-Strategy Integrated Grey Wolf Optimization(IMSGWO)algo⁃ rithm is proposed. By introducing the adaptive control parameter adjustment strategy,adaptive inertia weight strategy,optimal learning strategy and jumping out of local optimal strategy,the search ability of the algorithm is improved while enhancing population diversity. Numerical results show that the proposed algorithm can effectively solve the problem of multi-UAV task allocation in uncertain environment.

投稿的翻译标题Task allocation of heterogeneous multi-UAVs in uncertain environment based on multi-strategy integrated GWO
源语言繁体中文
文章编号327115
期刊Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
44
8
DOI
出版状态已出版 - 25 4月 2023

关键词

  • grey wolf optimization algorithm
  • heterogeneous unmanned aerial vehicles
  • multiple unmanned aerial vehicles
  • task allocation
  • uncertain environment

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