基于遗传算法的自动化仓库的动态货位分配

马永杰; 蒋兆远; 杨志民

基于遗传算法的自动化仓库的动态货位分配

基金项目:

甘肃省科技基金资助项目(2GS066-A52-001-04)

详细信息

作者简介:
马永杰(1967- ),男,副教授,博士研究生,主要研究方向为物流技术、智能控制,电话:13309312525,E-mail:myjmyj@nwnu.edu.cn

通讯作者:
蒋兆远(1954- ),男,教授,博士,主要研究方向为交通运输控制,电话:13008792380,E-mail:08jzy@mail.lzjtu.cn

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出版历程
- 收稿日期: 2007-11-21
- 刊出日期: 2008-06-25

Dynamic Location Assignment of AS/RS Based on Genetic Algorithm

摘要

摘要: 在已经存储一定数量货物的自动化仓库中,以基于随机存储策略的库区和货位分配以及堆垛机行驶时间为优化控制目标.优化模型中的约束包括堆垛机容量和行驶速度以及在多任务作业周期中先存后取、由近及远存储、由远及近出库等.用遗传算法求出动态货位分配和拣选路径优化的Pareto最优解.实验结果验证了提出的方法的有效性.
- 遗传算法 /
- 自动化立体仓库 /
- 多目标优化 /
- 约束 /
- 动态货位分配
Abstract: Optimal control objectives based on a stochastic storage strategy for an automated storage/retrieval system(AS/RS),in which some spaces are occupied,were defined as the assignment optimizations for the whole warehouse and locations in it,and that for travel time of storage/retrieval machines(SRMs).Constraints in the optimization model include the capacity and the travel speed,and the rules such as storage first and retrieval last,storage from near to far,and retrieval from far to near for the SRMs in a multi-command cycle.The optimal Pareto solution of the dynamic location assignment and picking up path optimization was obtained using a genetic algorithm.An experiment was presented to show the feasibility of the proposed method.
- genetic algorithm /
- automated storage/retrieve system /
- multiobjective optimization /
- constraint /
- dynamic location assignment

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参考文献(1)

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文章访问数: 1802
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PDF下载量: 726
被引次数: 0

基于遗传算法的自动化仓库的动态货位分配

作者简介: 马永杰(1967- ),男,副教授,博士研究生,主要研究方向为物流技术、智能控制,电话:13309312525,E-mail:myjmyj@nwnu.edu.cn

通讯作者: 蒋兆远(1954- ),男,教授,博士,主要研究方向为交通运输控制,电话:13008792380,E-mail:08jzy@mail.lzjtu.cn

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出版历程

Dynamic Location Assignment of AS/RS Based on Genetic Algorithm

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出版历程

目录

作者简介:
马永杰(1967- ),男,副教授,博士研究生,主要研究方向为物流技术、智能控制,电话:13309312525,E-mail:myjmyj@nwnu.edu.cn

通讯作者:
蒋兆远(1954- ),男,教授,博士,主要研究方向为交通运输控制,电话:13008792380,E-mail:08jzy@mail.lzjtu.cn