Electronics Optics & Control, Volume. 31, Issue 7, 8(2024)

A Cooperative Trajectory Planning Method Based on Improved Genetic Algorithm

TANG Song1 and WU Jianyuan2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [6] [6] LI H R,LYU T L,SHUI Y C,et al.An improved grey wolf optimizer with weighting functions and its application to unmanned aerial vehicles path planning[J].Computers and Electrical Engineering,2023,111(PA):108893.

    [12] [12] ZHANG C C,LIU Y F,HU C H.Path planning with time windows for multiple UAVs based on gray wolf algorithm[J].Biomimetics,2022,7(4):7040255.

    [13] [13] MA C B,ZHU X Z,LIU S Y,et al.A multi-UAV cooperative searching method based on differential evolution[C]//Proceedings of the 34th Chinese Conference on Control and Decision Making.Hefei:IEEE,2022:5643-5648.

    [15] [15] WANG Z,LIU L,LONG T,et al.Multi-UAV reconnaissance task allocation for heterogeneous targets using an opposition-based genetic algorithm with double-chromosome encoding[J].Chinese Journal of Aeronautics,2018,31(2):339-350.

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    TANG Song, WU Jianyuan. A Cooperative Trajectory Planning Method Based on Improved Genetic Algorithm[J]. Electronics Optics & Control, 2024, 31(7): 8

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    Paper Information

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    Received: Jul. 8, 2023

    Accepted: --

    Published Online: Aug. 23, 2024

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2024.07.002

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