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自动化立体仓库存取设备优化调度方法研究
引用本文:李梅娟,陈雪波,刘臣奇.自动化立体仓库存取设备优化调度方法研究[J].计算机工程与设计,2006,27(2):181-183.
作者姓名:李梅娟  陈雪波  刘臣奇
作者单位:1. 大连理工大学,电子与信息工程学院,辽宁,大连,116024;鞍山师范学院,计算机系,辽宁,鞍山,114005
2. 鞍山科技大学,电子与信息工程学院,辽宁,鞍山,114004
3. 鞍山师范学院,计算机系,辽宁,鞍山,114005
摘    要:对大型仓库中有多台存取设备同时作业,如何优化调度存取设备,提高存取设备的自动识别能力,使设备最大限度地发挥其效能,针对此问题提出了一种优化调度方法,利用遗传算法,将自动化立体仓库的常规控制策略改进为智能控制,并进行了实数编码、适应度函数、选择算子、交叉算子和变异算子的设计。实验结果表明该方法能够大幅度降低货物的出入库时间,在实际应用中获得了良好效果。

关 键 词:自动化立体仓库  存取设备  智能控制  遗传算法  优化调度  控制策略
文章编号:1000-7024(2006)02-0180-03
收稿时间:2005-03-16
修稿时间:2005-03-16

Research of optimal scheduling approach on automatic houseware storage/retrieval vehicles
LI Mei-juan,CHEN Xue-bo,LIU Chen-qi.Research of optimal scheduling approach on automatic houseware storage/retrieval vehicles[J].Computer Engineering and Design,2006,27(2):181-183.
Authors:LI Mei-juan  CHEN Xue-bo  LIU Chen-qi
Affiliation:1. School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116024, China; 2. Department of Computer, Anshan Normal College, Anshan 114005, China; 3. Institute of Electronic and Information, University of Anshan Science and Technology, Anshan 114004, China
Abstract:When many storage/retrieval vehicles were working simultaneously,how to schedule optimally the vehicles was proposed,in order to boost their automatic recognition capability and exert their efficiency furthest.With the help of artificial intelligence(AI) idea,a scheduling approach was studied and an optimal genetic algorithm(GA) was proposed to design code,fitness function,selection operator,crossover operator and mutation operator.Experimental results showed this approach could reduce task time greatly and had a good effect in actual application.
Keywords:automated warehouse  storage/retrieval vehicles  intelligence control  genetic algorithm  optimal scheduling  control strategy
本文献已被 CNKI 维普 万方数据 等数据库收录!
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