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Squeezed branch pile groups optimization method based on improved genetic algorithm
更新时间：2025-05-26

    • Squeezed branch pile groups optimization method based on improved genetic algorithm

    • “In the field of high-rise buildings, experts use improved genetic algorithms to optimize the design of squeezed expansion support pile groups. Through Python secondary development, an automatic optimization platform is established to minimize the number of load-bearing plates, reduce differential settlement, and improve structural safety and performance.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 7, Pages: 2089-2098(2023)
    • 作者机构：

      1.宁夏大学 土木与水利工程学院，银川 750021

      2.宁夏交通建设股份有限公司，银川 750004

      3.宁夏道路养护工程技术研究中心，银川 750004

    • DOI：10.13229/j.cnki.jdxbgxb.20210983    

      CLC： TU473.1

    • Received：28 September 2021，

      Published：01 July 2023

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  • HUI Ying-xin,CHEN Jia-wei.Squeezed branch pile groups optimization method based on improved genetic algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(07):2089-2098. DOI： 10.13229/j.cnki.jdxbgxb.20210983.

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