吉林大学学报(信息科学版) ›› 2023, Vol. 41 ›› Issue (1): 118-123.

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基于改进布谷鸟算法的配送车辆路径优化方法

张露潆   

  1. (四川天一学院 工商管理系, 四川 绵竹 618200)
  • 收稿日期:2022-04-13 出版日期:2023-02-08 发布日期:2023-02-09
  • 作者简介:张露潆(1989— ), 女, 四川绵竹人, 四川天一学院讲师, 硕士, 主要从事国际货运代理、 国际物流研究, ( Tel) 86-18131286003(E-mail)zly789445@ yeah. net。
  • 基金资助:
    四川省科技攻关基金资助项目(202015450003)

Optimization Method of Distribution Vehicle Routing Based on Improved Cuckoo Algorithm

ZHANG Luying   

  1. (Department of Business Administration, Sichuan Tianyi College, Mianzhu 618200, China)
  • Received:2022-04-13 Online:2023-02-08 Published:2023-02-09

摘要: 针对配送车辆行驶路径选择不合理、 配送效率降低等问题, 提出基于改进布谷鸟算法的配送车辆路径优化方法。 遵循路径最短配送原则, 构建目标函数, 为简化模型结构, 设置路径优化的相关约束条件, 保证每个需求点只能被配送一次, 车辆必须在最大距离负荷范围内行驶, 建立路径优化模型; 分析经典布谷鸟算法的鸟巢位置更新过程, 添加调整因子, 引入动态惯性权重; 通过布谷鸟搜索算法求解优化模型, 经过种群初始化、 鸟巢位置更新等过程不断寻找全局最优解, 当满足迭代停止条件时, 输出最佳优化方案。 实验证明,该方法搜索能力强, 解集分布均匀, 能确保配送路径最短, 提高配送效率。

关键词: 改进布谷鸟算法, 配送车辆, 路径优化, 调整因子, 动态惯性权重

Abstract: Aiming at the problems of unreasonable route selection and low distribution efficiency of distribution vehicles, a distribution vehicle route optimization method based on improved cuckoo algorithm is proposed. According to the principle of shortest route distribution, the objective function is built, the relevant constraints of route optimization is set in order to simplify the model structure, ensure that each demand point can only be distributed once, and the vehicle must drive within the maximum distance load range, and establish the route optimization model. The nest position update process of classical cuckoo algorithm is analyzed, adjustment factor is added and the dynamic inertia weight is introduced. The optimization model is solved by cuckoo search algorithm, and the global optimal solution is continuously found through the process of population initialization and nest location update. When the iteration stops condition is met, the optimal optimization scheme is output. Experimental results show that this method has strong searching ability, uniform distribution of solution set, and can ensure the shortest distribution path and improve distribution efficiency.

Key words: improved cuckoo algorithm, delivery vehicles, path optimization, adjustment factor, dynamic inertia weight

中图分类号: 

  • TP316