期刊文献+

基于多目标粒子群算法的应急物流储备库选址 被引量:5

Multi-objective programming model of location on emergency logistics storage repository based on particle swarm optimizer
下载PDF
导出
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. 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.
出处 《长沙理工大学学报(自然科学版)》 CAS 2013年第1期34-40,共7页 Journal of Changsha University of Science and Technology:Natural Science
基金 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)
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 emergency logistics storage repository location decision multi-objective pro-gramming model particle swarm optimizer
  • 相关文献

参考文献11

二级参考文献89

共引文献150

同被引文献38

引证文献5

二级引证文献21

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部