Electronics Optics & Control, Volume. 25, Issue 11, 52(2018)

Cooperative Path Planning for UAVs Based on Decoy Strategy

ZHU Jie and LU Yi
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  • [in Chinese]
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    References(4)

    [4] [4] ZHANG X Y, DUAN H B.An improved constrained diffe-rential evolution algorithm for unmanned aerial vehicle glo-bal route planning[J].Applied Soft Computing, 2015, 26:270-284.

    [5] [5] XIE C, ZHENG H Q.Application of improved cuckoo search algorithm to path planning unmanned aerial vehicle[C]//Intelligent Computing Theories and Application, 2016:722-729.

    [6] [6] YAO P, WANG H L.Dynamic adaptive ant lion optimizer applied to route planning for unmanned aerial vehicle[J].Soft Computing, 2017, 21(18):5475-5488.

    [13] [13] ARANTES J D, TOLEDO F M, CHARLESWILLIAMS B.Heuristic and genetic algorithm approaches for UAV path planning under critical situation[J].International Journal on Artificial Intelligence Tools, 2016, 26(1):1-30.

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    ZHU Jie, LU Yi. Cooperative Path Planning for UAVs Based on Decoy Strategy[J]. Electronics Optics & Control, 2018, 25(11): 52

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    Paper Information

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    Received: Feb. 5, 2018

    Accepted: --

    Published Online: Nov. 25, 2018

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.11.010

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