Electronics Optics & Control, Volume. 31, Issue 5, 24(2024)

3D UAV Flight Path Planning with Adaptive Ant Colony Optimization

ZHANG Ao1, MAO Hailiang2, BIAN Peng1, and CHEN Xia1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(6)

    [4] [4] CHEN Y B,LUO G C,MEI Y S,et al.UAV path planning using artificial potential field method updated by optimal control theory [J].International Journal of Systems Science,2016,47(6):1407-1420.

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    [7] [7] KENNEDY J,EBERHART R.Particle swarm optimization [C]//Proceedings of ICNN95-International Conference on Neural Networks.Perth:IEEE,1995.doi:10.1109/ICNN.1995.488968.

    [9] [9] DORIGO M,BIRATTARI M,STTZLE T.Ant colony optimization[J].IEEE Computational Intelligence Magazine,2006,1(4):28-39.

    [10] [10] MANH D,QUANG P.Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization[J].Applied Soft Computing,2021,107.doi:10.1016/j.asoc.2021.107376.

    [11] [11] WU X D,BAI W B,XIE Y E,et al.A hybrid algorithm of particle swarm optimization,metropolis criterion and RTS smoother for path planning of UAVs [J].Applied Soft Computing,2018,73.doi:10.1016/j.asoc.2018.09.011.

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    ZHANG Ao, MAO Hailiang, BIAN Peng, CHEN Xia. 3D UAV Flight Path Planning with Adaptive Ant Colony Optimization[J]. Electronics Optics & Control, 2024, 31(5): 24

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    Paper Information

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    Received: Apr. 7, 2023

    Accepted: --

    Published Online: Aug. 23, 2024

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2024.05.004

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