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基于遗传算法和模糊综合评价法物流配送中心选址研究
引用本文:任春玉,王晓博. 基于遗传算法和模糊综合评价法物流配送中心选址研究[J]. 物流科技, 2006, 29(10): 78-81
作者姓名:任春玉  王晓博
作者单位:1. 黑龙江大学信息科学与技术学院,黑龙江,哈尔滨,150080
2. 黑龙江大学信息管理学院,黑龙江,哈尔滨,150080;哈尔滨工业大学管理学院,黑龙江,哈尔滨,150001
基金项目:黑龙江大学校科研和教改项目;黑龙江省科技攻关项目
摘    要:本文给出了关于配送中心选址的0-1混合整数线性规划模型,该模型要求在一些已知的备选点中选出一定数目的地点作为配送中心;并求出配送网络中的物流量,使配送网络总费用最小.由于这类模型属于NP难问题,为更好的求解此类问题,提出了定量化的遗传算法与定性化的模糊综合评价法相结合来确定配送中心地址的方法.

关 键 词:物流配送中心  选址模型  改进遗传算法  模糊综合评价
文章编号:1002-3100(2006)10-0078-04
收稿时间:2006-04-18
修稿时间:2006-04-18

Study on Logistics Distribution Centers Location Based on Genetic Algorithm and FCE
REN Chun-yu,WANG Xiao-bo. Study on Logistics Distribution Centers Location Based on Genetic Algorithm and FCE[J]. Logistics Management, 2006, 29(10): 78-81
Authors:REN Chun-yu  WANG Xiao-bo
Affiliation:1. School of Information Science and Technology; Heilongjiang University, Harbin 150080, China; 2. School of Information Management, Heilongjiang University, Harbin 150080, China; 3. School of Management, Harbin Institute of Technology, Harbin 150001, China
Abstract:A linear programming model of 0-1 mixed integer type for the location of three-stage logistics chain network is given out, which requires the choice of a certain number of distribution centers out of optional distribution facilities, and the decision of the product flow in the logistics chain network to meet the demand with minimum cost. For the convenience of solving this kind of NP-hard problem, a comprehensive evaluation method is proposed for the choice of the distribution centers, in which the genetic algorithm combining mechanism of simulated annealing and the qualitative general evaluation solution are both used.
Keywords:logistics distribution centers   location model   genetic algorithm   fuzzy comprehensive evaluation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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