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基于改进遗传算法的生鲜加工配送中心连续选址模型
引用本文:龙迎红,韩瑞珠,赵林度,于海生. 基于改进遗传算法的生鲜加工配送中心连续选址模型[J]. 物流技术, 2006, 0(2): 35-38
作者姓名:龙迎红  韩瑞珠  赵林度  于海生
作者单位:东南大学,系统工程研究所,江苏,南京,210096
基金项目:中国科学院资助项目;国家重大科技专项基金;江苏省科技厅推广项目
摘    要:建立了生鲜加工配送中心选址连续模型,在引入监控算子的基础上,运用改进的遗传算法对模型进行求解。该模型和改进的遗传算法可有效的解决生鲜加工配送中心的选址问题。

关 键 词:生鲜加工配送中心  选址  改进遗传算法
文章编号:1005-152X(2006)02-0035-04
收稿时间:2005-11-25
修稿时间:2005-11-25

Continuous Location Model of Fresh Food Process Distribution Centers based on Improved Genetic Algorithm
LONG Ying-hong,HAN Rui-zhu,ZHAO Lin-du,YU Hai-sheng. Continuous Location Model of Fresh Food Process Distribution Centers based on Improved Genetic Algorithm[J]. Logistics Technology, 2006, 0(2): 35-38
Authors:LONG Ying-hong  HAN Rui-zhu  ZHAO Lin-du  YU Hai-sheng
Affiliation:Institute of Systems Engineering, Southeast University, Nanjing 210096, China
Abstract:The paper establishes a continuous location model of fresh food process distribution centers. Based on bringing in a monitor operator, an improved genetic algorithm is used to solve the model. The optimized results show that the model and algorithm are reliable and robust.
Keywords:fresh food process distribution center   location   improved genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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