| 基于周期性病毒遗传算法的自动化立库货位优化研究 |
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| 引用本文： | 邱建东,蒋兆远,汤旻安.基于周期性病毒遗传算法的自动化立库货位优化研究[J].兰州铁道学院学报,2013(6):19-23. |
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| 作者姓名： | 邱建东 蒋兆远 汤旻安 |
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| 作者单位： | [1]兰州交通大学机电技术研究所,甘肃兰州730070 [2]兰州理工大学机电工程学院,甘肃兰州730050 |
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| 基金项目： | 甘肃省自然科学基金（1208RJZA292）;甘肃省科技支撑计划项目（090GKCA009,1304GKCA023） |
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| 摘 要： | 大型自动化立体仓库是物流重要环节,其货物存取效率至关重要,而货位优化配置是提升其效率的有效方法.比较分析了几种常见的货位优化方法后,选择周期性病毒遗传算法（CVEGA）进行优化仿真,并根据实际优化条件设计了列数优先的病毒编码规则.结果表明：和传统遗传算法相比,计算效率有了明显提升,更能满足现场实际需求.
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| 关 键 词： | 自动化立库 货位优化 周期性病毒遗传算法 |
Research on Slotting Optimization of AS/RS Based on Cyclical Virus Evolutionary Genetic Algorithm |
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| Institution: | QIU Jian-dong1, JIANG Zhao-yuan1, TANG Min-an2 (1. Meehatronie Technology Institute,Lanzhou Jiaotong Universtiy, Lanzhou 730070,China School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050,China) |
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| Abstract: | AS/RS （Automated Storage and Retrieval System） is an important link of the internal logistics process in enterprise production, and its efficiency is crucial. Slotting optimization is an effective way to im- prove it. Several kinds of common optimization algorithms have been compared and studied and a new algo- rithm based on CVEGA （Cyclical Virus Evolutionary Genetic Algorithm） has been selected to optimize the slotting. The design of virus coding based on ＂columns priority＂ according to actual optimized conditions has been presented, too. The result indicates that its computational efficiency has been improved signifi- cantly compared with the traditional genetic algorithm,so it is better to meet the actual need of the scene. |
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| Keywords: | Automated Storage and Retrieval System slotting optimization Cyclical Virus Evolutionary Genetic Algorithm |
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