Cooperative Path Planning for UAVs Based on Decoy Strategy

ZHU Jie; LU Yi

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

Journals >Electronics Optics & Control >Volume 25 >Issue 11 >Page 52 > Article

Electronics Optics & Control
Vol. 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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DOI: 10.3969/j.issn.1671-637x.2018.11.010 Cite this Article

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

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References

[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] 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] 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] 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.

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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