Path Planning of UAV Based on Improved Adaptive Ant Colony Algorithm

CHEN Xia; MAO Hailiang; LIU Kuiwu

doi:10.3969/j.issn.1671-637x.2022.09.002

Journals >Electronics Optics & Control >Volume 29 >Issue 9 >Page 6 > Article

Electronics Optics & Control
Vol. 29, Issue 9, 6 (2022)

Path Planning of UAV Based on Improved Adaptive Ant Colony Algorithm

CHEN Xia, MAO Hailiang, and LIU Kuiwu

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2022.09.002 Cite this Article

CHEN Xia, MAO Hailiang, LIU Kuiwu. Path Planning of UAV Based on Improved Adaptive Ant Colony Algorithm[J]. Electronics Optics & Control, 2022, 29(9): 6 Copy Citation Text

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References

[1] ZHAO Y JZHENG ZLIU Y.Survey on computational-intelligence-based UAV path planning［J］.Knowledge-Based Systems2018158:54-64.

[6] ZHANG D QXIAN YLI Jet al.UAV path planning based on chaos ant colony algorithm［C］//International Conference on Computer Science & Mechanical Automation.Hangzhou: IEEE2015:81-85.

CHEN Xia, MAO Hailiang, LIU Kuiwu. Path Planning of UAV Based on Improved Adaptive Ant Colony Algorithm[J]. Electronics Optics & Control, 2022, 29(9): 6

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