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基于多目标粒子群算法的应急物流储备库选址
引用本文:周骞,刘军,邹桂兰,肖宇. 基于多目标粒子群算法的应急物流储备库选址[J]. 长沙理工大学学报(自然科学版), 2013, 0(1): 34-40
作者姓名:周骞  刘军  邹桂兰  肖宇
作者单位:长沙理工大学交通运输工程学院;湖南省交通科学研究院
基金项目:交通运输部长湘高速公路科技工程示范项目(交函科技[2009]333号)
摘    要:针对应急物流的特点,提出了应急物流储备库选址应考虑各行政区的风险权重、灾害处置难度、储备库恢复能力、地区影响程度及建设成本等因素.借助普通物流选址思想,构建了基于多目标粒子群算法的应急物流储备库选址模型.并以长株潭城市群应急物流系统构建为例,进行了应急物流储备库选址实例研究.

关 键 词:应急物流储备库  选址决策  多目标规划模型  粒子群算法

Multi-objective programming model of location on emergency logistics storage repository based on particle swarm optimizer
ZHOU Qian,LIU Jun,ZOU Gui-lan,XIAO Yu. Multi-objective programming model of location on emergency logistics storage repository based on particle swarm optimizer[J]. Journal of Changsha University of Science and Technology(Natural Science), 2013, 0(1): 34-40
Authors:ZHOU Qian  LIU Jun  ZOU Gui-lan  XIAO Yu
Affiliation:1.School of Transportation Engineering,Changsha University of Science and Technology, Changsha 410004,China;2.Hunan Communications Institute,Changsha 410015,China)
Abstract:According to the characteristics of emergency logistics, this paper put forward that location decision of emergency logistics storage repository should be considered the ad- ministrative region risk weights, disaster disposal difficulty, repertory restoring capacity, regional influence degree and the construction cost and other factors. With the thought of general logistics location, a multi-objective programming model of location on emergency lo- gistics storage repository based on particle swarm optimizer was built and the solving algo- rithm of particle swarm optimizer was given. In the last, the location on emergency logistics storage repository of Chang-Zhu-Tan Urban agglomeration was taken as an example of ap- plication.
Keywords:emergency logistics storage repository  location decision  multi-objective pro-gramming model  particle swarm optimizer
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