Electronics Optics & Control, Volume. 30, Issue 7, 46(2023)

UAV Path Planning Based on Improved Cellular Ant Colony Algorithm

YU Jiayang... GUO Jiansheng, ZHANG Xiaofeng, XIE Tao, ZHOU Chuhan and LIU Nachuan |Show fewer author(s)
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    References(6)

    [1] [1] BAUMANN M,LONARD S,CROFT E A,et al.Path plan-ning for improved visibility using a probabilistic road map[J].IEEE Transactions on Robotics,2010,26(1):195-200.

    [2] [2] MASOUD A A.Decentralized self-organizing potential field-based control for individually motivated mobile agents in a cluttered environment:a vector-harmonic potential field approach[J].IEEE Transactions on Systems, Man,and Cybernetics,Part A,Systems and Humans, 2007, 37(3):372-390.

    [4] [4] SZCZERBA R J,GALKOWSKI P,GLICKTEIN I S,et al.Robust algorithm for real-time route planning[J].IEEE Transactions on Aerospace and Electronic Systems,2000, 36(3):869-878.

    [5] [5] CAO Y,WEI W Y,BAI Y,et al.Multi-base multi-UAV cooperative reconnaissance path planning with genetic algorithm[J].Cluster Computing,2019,22(S3):5175-5184.

    [6] [6] LIU Y,ZHANG X J,ZHANG Y,et al.Collision free 4D path planning for multiple UAVs based on spatial refined voting mechanism and PSO approach[J].Chinese Journal of Aeronautics,2019,32(6):1504-1519.

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    YU Jiayang, GUO Jiansheng, ZHANG Xiaofeng, XIE Tao, ZHOU Chuhan, LIU Nachuan. UAV Path Planning Based on Improved Cellular Ant Colony Algorithm[J]. Electronics Optics & Control, 2023, 30(7): 46

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    Paper Information

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    Received: Jun. 6, 2022

    Accepted: --

    Published Online: Nov. 29, 2023

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2023.07.008

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