中国机械工程

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一种鱼骨仓储布局下的拣选路径优化方法

刘建胜;雷兆发;聂伟豪;涂海宁   

  1. 南昌大学机电工程学院,南昌,330031
  • 出版日期:2020-05-25 发布日期:2020-06-28
  • 基金资助:
    国家自然科学基金资助项目(51565036)

An Optimization Method of Picking Routes for Warehouses with Fishbone Layout

LIU Jiansheng;LEI Zhaofa;NIE Weihao;TU Haining   

  1. School of Mechanical and Electrical Engineering, Nanchang University, Nanchang, 330031
  • Online:2020-05-25 Published:2020-06-28

摘要: 根据一种非传统鱼骨(fishbone)布局的特点,基于仓储运作约束条件建立了拣选路径优化模型,构造了非传统货位距离矩阵;在标准遗传算法基础上,通过进化逆转算子克服标准遗传算法存在早熟收敛和局部搜索能力较差等问题,给出了一种多种群遗传算法;为验证算法的有效性,在不同订单规模下,将多种群遗传算法与标准遗传算法和S-Shape算法进行比较,应用MATLAB软件仿真分析,一系列实验结果表明多种群遗传算法计算结果最优,并且寻优速度更快于标准遗传算法,能够很好地解决鱼骨仓储布局下的拣选路径优化问题,提高仓储智能化水平。

关键词: 鱼骨布局, 拣选路径优化, 多种群遗传算法, 进化逆转算子

Abstract: A picking route optimization model was established and the distance matrix for the storage location in non-traditional warehouse was constructed according to the characteristics of a non-traditional fishbone layout and considering the actual warehouse operation constraints. Meanwhile, a MPGA with an evolutional reversed operator was proposed based on the standard genetic algorithm (SGA) to overcome the premature convergence and poor local search ability of SGA. To verify the effectiveness of the algorithm, MPGA was compared with SGA and S-Shape under different order sizes, and the MATLAB software was used to simulate and analyze. Experimental results show that the MPGA has the best calculation results, and the speed of searching optimal solution is quicker than that of SGA. The proposed algorithm may be better to solve the problems of picking route optimization for the warehouse with fishbone layout and improve the intelligent level of warehousing.

Key words: fishbone layout, picking route optimization, multiple population genetic algorithm(MPGA), evolutional reversed operator

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