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一个多物流中心配送模型及其遗传算法
引用本文:戴树贵,陈文兰.一个多物流中心配送模型及其遗传算法[J].微机发展,2008,18(2):46-50.
作者姓名:戴树贵  陈文兰
作者单位:戴树贵(华东师范大学计算机科学技术系,上海,200062;滁州学院数学系,安徽滁州,239000);陈文兰(滁州学院数学系,安徽滁州,239000)
基金项目:安徽省自然科学基金(2006KJ253B);安徽高校青年教师资助计划项目(2007jq1191)
摘    要:物流配送费用是物流系统的核心费用。以节约物流配送费用为出发点,建立了一个多物流中心配送模型,并构造了一个双重混合遗传算法。算法采用扩大的集合覆盖方法,将需求点预分配给配送中心,一个需求点可以依附于多个配送中心,然后在第一重遗传算法中将需求点精确分配给每个配送中心,在第二重遗传算法中规划各配送中心的车辆行驶路线。为第一重遗传算法设计了编码方案和交叉规则。在第二重算法中设计了交叉个体的选择方案,较好地解决了简单遗传算法早熟问题。数据实验表明,该算法是有效的。

关 键 词:物流配送  遗传算法  集合覆盖
文章编号:1673-629X(2008)02-0046-05
修稿时间:2007年5月6日

A Logistics Delivery Model and Its Genetic Algorithm for Multiple Depots
DAI Shu-gui,CHEN Wen-lan.A Logistics Delivery Model and Its Genetic Algorithm for Multiple Depots[J].Microcomputer Development,2008,18(2):46-50.
Authors:DAI Shu-gui    CHEN Wen-lan
Affiliation:DAI Shu-gui1,2,CHEN Wen-lan2
Abstract:The expenditure of logistics delivery is the main expense of logistics system.A logistics delivery model with multiple depots is created and a dual genetic algorithm(GA) is designed to solve the model in order to decrease the expense.Firstly,all demanding-points are pre-assigned to depots by broadened-set-overlay and one demanding-point may belong to more than one depot.Secondly,every demanding-point is made cling to one certain depot properly in the first-layer GA and the vehicles' routes are programmed in the second-layer GA.A new coding means and a new crossing regular are designed for the first-layer GA and a selection regular for crossing individuals is designed for the second-layer GA to solve prematurity problem of simple GA.The data experiment showed the algorithm is valid.
Keywords:logistics delivery  genetic algorithm  set overlay
本文献已被 CNKI 维普 等数据库收录!
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