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Non-dominated sorted particle swarm genetic algorithm to solve vehicle location routing problems
更新时间：2025-09-12

    • Non-dominated sorted particle swarm genetic algorithm to solve vehicle location routing problems

    • “In the field of vehicle location routing, experts have proposed a hybrid global local search non dominated sorting particle swarm genetic algorithm, which effectively improves population quality and diversity, providing a new solution for problem solving.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2464-2474(2025)
    • 作者机构：

      1.北京理工大学 北京市海量语言信息处理与云计算应用工程技术研究中心，北京 100081

      2.北京理工大学 计算机学院，北京 100081

    • DOI：10.13229/j.cnki.jdxbgxb.20231086    

      CLC： TP391

    • Received：26 December 2023，

      Published：01 July 2025

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  • LIU Qiong-xin,WANG Tian-tian,WANG Ya-nan.Non-dominated sorted particle swarm genetic algorithm to solve vehicle location routing problems[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2464-2474. DOI： 10.13229/j.cnki.jdxbgxb.20231086.

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