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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution
INTELLIGENCE INTERDISCIPLINARY SCIENCE AND ENGINEERING | 更新时间：2025-01-17

    • Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution

    • “The latest research progress shows that the artificial bee colony optimization algorithm improved by logistic chaotic mapping and differential evolution has effectively improved the accuracy of underwater node positioning, providing a new direction for the development of underwater positioning technology.”
    • Advanced Engineering Sciences   Vol. 57, Issue 1, Pages: 57-67(2025)

    • DOI：10.12454/j.jsuese.202300763    

      CLC： TP212.9；TN929.3

    • Received：16 August 2023，

      Revised：2023-11-27，

      Published Online：15 January 2024，

      Published：20 January 2025

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  • Chen Jiaxing,Liu Yang,Liu Xiaoqian,et al.Improved artificial bee colony optimization underwater localization algorithm by Logistic chaos mapping and differential evolution[J].Advanced Engineering Sciences,2025,57(1):57–67 DOI： 10.12454/j.jsuese.202300763.

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CHEN Jiaxing
LIU Yang
LIU Xiaoqian
LIU Zhihua

Related Institution

School of Mathematical Sciences, Hebei Normal Univ.
College of Eng., Hebei Normal Univ.
College of Computer and Cyber Security, Hebei Normal Univ.
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