基于病毒协同遗传算法的自动化立体仓库货位优化模型

doi:10.16381/j.cnki.issn1003-207x.2017.05.009

中国管理科学 ›› 2017, Vol. 25 ›› Issue (5): 70-77.doi: 10.16381/j.cnki.issn1003-207x.2017.05.009

基于病毒协同遗传算法的自动化立体仓库货位优化模型

李鹏飞, 马航

西安邮电大学经济与管理学院, 陕西西安 710121

收稿日期:2016-01-11 修回日期:2016-05-26 出版日期:2017-05-20 发布日期:2017-08-26
通讯作者: 李鹏飞(1975-),男(汉族),陕西户县人,西安邮电大学经济与管理学院,博士,教授,研究方向:邮政及物流信息化,E-mail:lpf@xupt.edu.cn. E-mail:lpf@xupt.edu.cn
基金资助:
陕西省科技厅科研项目（2014K05-62）；陕西省教育厅科研项目（14JK1647）；陕西省社科基金重大项目（2016ZDA10）；西安邮电大学西邮新星团队资助

Virus Based on Cooperative Genetic Algorithm Automated Warehouse Space Optimization Model

LI Peng-fei, MA Hang

Xi'an University of Posts & Telecommunications, School of Econonnics and Management, Xi'an 710061, China

Received:2016-01-11 Revised:2016-05-26 Online:2017-05-20 Published:2017-08-26

摘要/Abstract

摘要： 自动化立体仓库是一个错综复杂的存储系统，货位优化问题直接影响自动化立体仓库的工作效率。针对自动化立体仓库的货位选择问题，本文提出以出入库效率和货架稳定性为优化因素的货位优化模型，并采取病毒协同遗传算法对优化模型进行仿真。最后对仿真结果及货位优化前，病毒协同遗传算法优化后，传统遗传算法优化后三者的对比结果进行分析，结果说明病毒协同遗传算法（VEGA）能有效实现自动化立体仓库货位优化，是提高货物出入库效率和货架的稳定性的一种有效方法。

关键词: 自动化立体仓库, 货位优化, 病毒协同遗传算法

Abstract: Automated warehouse is an intricate system of storage, and slotting optimization problems directly affect the efficiency of the Automated Warehouse. To solve the dilemma of location selection of automatic stereo warehouse, a Slotting Optimization model which take the out of storage efficiency and shelf stability of storage as its optimization factors is proposed, the Multi-objective mathematical model of Slotting Optimization is established. According to the actual conditions of Automated Warehouse, with the help of Strategy Set Transformation, Delphi method and the Analytic Hierarchy Process(AHP) are used to determine the weight. And virus combined with genetic algorithm is taken to simulate the optimization model. In the MATLAB software environment, the Multi-objective genetic algorithm for virus is utilized to calculate the model solution. Finally, the results comparison among the simulation of the data before Slotting Optimization, the data after virus combined with genetic algorithm and the data after traditional genetic algorithm indicates that Virus Cooperative Genetic Algorithm(VEGA) can effectively optimize the automation stereoscopic warehouse slotting. It is also a kind of effective way to improve the efficiency of goods out of storage and stability of shelf.

Key words: automated warehouse, mization of the goods location, virus cooperative genetic algorithm

中图分类号:

F273
C935

李鹏飞, 马航. 基于病毒协同遗传算法的自动化立体仓库货位优化模型[J]. 中国管理科学, 2017, 25(5): 70-77.

LI Peng-fei, MA Hang. Virus Based on Cooperative Genetic Algorithm Automated Warehouse Space Optimization Model[J]. Chinese Journal of Management Science, 2017, 25(5): 70-77.

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基于病毒协同遗传算法的自动化立体仓库货位优化模型

Virus Based on Cooperative Genetic Algorithm Automated Warehouse Space Optimization Model

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