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New energy vehicle charging station location method based on improved particle swarm optimization algorithm
更新时间：2025-05-26

    • New energy vehicle charging station location method based on improved particle swarm optimization algorithm

    • “In the field of layout of new energy vehicle charging stations, experts have proposed a site selection method based on improved particle swarm optimization algorithm, which effectively reduces resource waste and balances charging demand.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 8, Pages: 2275-2281(2024)
    • 作者机构：

      1.武汉科技大学 信息科学与工程学院，武汉 430081

      2.武汉理工大学 智能交通系统研究中心，武汉 430063

    • DOI：10.13229/j.cnki.jdxbgxb.20230249    

      CLC： TP391

    • Received：21 March 2023，

      Published：01 August 2024

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  • ZHANG Liang-li,MA Xiao-feng.New energy vehicle charging station location method based on improved particle swarm optimization algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(08):2275-2281. DOI： 10.13229/j.cnki.jdxbgxb.20230249.

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