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基于遗传算法的库位优化问题
引用本文:周兴建,刘元奇,李泉. 基于遗传算法的库位优化问题[J]. 物流科技, 2010, 33(5): 38-40
作者姓名:周兴建  刘元奇  李泉
作者单位:1. 武汉科技学院经济管理学院,湖北,武汉,430073;武汉理工大学交通学院,湖北,武汉,430063
2. 武汉科技学院经济管理学院,湖北,武汉,430073
摘    要:应用遗传算法对邯运集团仓库库住进行优化。在充分考虑邯运集团仓库所存放的货物种类、货物数量、出入库频率等因素的基础上进行库位预分区规划。建立了二次指派词题的数学模型。利用遗传算法对其求解,结合MATLAB进行编程计算并得出最优划分方案。

关 键 词:遗传算法  预分区规划  库位优化

Optimization of Storage Position in Warehouse Based on Genetic Algorithm
ZHOU Xing-jian,LIU Yuan-qi,LI Quan. Optimization of Storage Position in Warehouse Based on Genetic Algorithm[J]. Logistics Management, 2010, 33(5): 38-40
Authors:ZHOU Xing-jian  LIU Yuan-qi  LI Quan
Affiliation:1. College of Economics & Management/a>;Wuhan University of Science & Engineering/a>;Wuhan 430073/a>;China/a>;2. School of Transportation/a>;Wuhan University of Technology/a>;Wuhan 430063/a>;China
Abstract:The paper optimize the storage position in warehouse of Hanyun Group based on genetic algorithm. With thinking of the factors such as goods categories, quantities and frequencies of I/O, etc, firstly, the storage district is planned. Then the model of quadratic assignment problems is build, and genetic algorithm is utilized to resolve the problem. The software MATLAB is used to program and figure out the best alternatives.
Keywords:genetic algorithm  district planning  storage position optimization  
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