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Pareto遗传算法在货位配置中的应用研究
引用本文:李梅娟,陈雪波.Pareto遗传算法在货位配置中的应用研究[J].控制工程,2006,13(2):138-140,144.
作者姓名:李梅娟  陈雪波
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
摘    要:固定货架是自动化立体仓库应用最广泛的存储设备,货位配置是否优化直接影响货架的稳定性和存取操作效率。因此,建立了货位配置优化问题的数学模型,提出了采用Pareto遗传算法解决多目标组合优化问题,可得到Pareto最优解集。此算法包括5个基本算子:选择、变异、交叉、小生境技术、Pareto集合过滤器。通过仿真实验验证了将Pareto遗传算法应用在实际货位配置优化问题中,取得了较好的结果。

关 键 词:自动化立体仓库  货位配置  Pareto最优  遗传算法
文章编号:1671-7848(2006)02-0138-04
收稿时间:2004-12-03
修稿时间:2005-03-15

Research and Application of Pareto Genetic Algorithm for Freight Sites Assignment Optimization
LI Mei-juan,CHEN Xue-bo.Research and Application of Pareto Genetic Algorithm for Freight Sites Assignment Optimization[J].Control Engineering of China,2006,13(2):138-140,144.
Authors:LI Mei-juan  CHEN Xue-bo
Abstract:The fixed freight shelves are widely used in automated warehouses for storage.The stability of rackets and the efficiency of the storage and retrieval depend on that if the freight sites assignment is optimal.A mathematic model is built to describe the problem of the freight sites assignment optimization.Pareto genetic algorithm(GA) is used to deal with the combinatorial multi-objective optimization problem which generates Pareto optimal sets.The simulation results show the good effect of the application of Pareto GA to solve the practical freight sites assignment problem.
Keywords:automated warehouse  freight sites assignment  Pareto optimal  genetic algorithm
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