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基于蚁群算法的应急物资运输路径优化

杨菊花 朱昌锋 田志强

铁道科学与工程学报2012,Vol.9Issue(6):90-94,5.
铁道科学与工程学报2012,Vol.9Issue(6):90-94,5.

基于蚁群算法的应急物资运输路径优化

Transport path optimization for emergency material based on ant colony algorithm

杨菊花 1朱昌锋 1田志强1

作者信息

  • 1. 兰州交通大学交通运输学院,甘肃兰州730070
  • 折叠

摘要

Abstract

Because of frequent occurrence of natural disasters and public health events, study on the purchasing, storage and allocation plan for emergency materials was enforced all over the world, which aims at establishing high efficient rescue logistic system. Referring to material transportation models in emergent state and the specialty of vehicle transportation in irregular logistics which were proposed in many papers, multimodal transportation theory and network vulnerability theory were applied to establish compositive model of transport mode and path selection for the whole course allocation of emergency materials. The modified ant colony algorithm was designed which combines with an example to explain the change conditions according to the change of transport path and its flow.

关键词

应急物资/运输路径/多式联运/路网脆弱性/蚁群算法

Key words

emergency material/ transport path/ multimodal transportation/ network vulnerability/ ant colony algorithm

分类

交通工程

引用本文复制引用

杨菊花,朱昌锋,田志强..基于蚁群算法的应急物资运输路径优化[J].铁道科学与工程学报,2012,9(6):90-94,5.

基金项目

教育部人文社会科学研究规划基金资助项目(11YJAZH132) (11YJAZH132)

兰州市科技局研政产合作支撑计划项目(2011-1-111) (2011-1-111)

甘肃省青年科技基金计划项目(2011GS04256) (2011GS04256)

铁道科学与工程学报

OA北大核心CSCDCSTPCD

1672-7029

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