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双权重应急交通网络最优路径数学模型及算法研究

盖文妹 邓云峰 蒋仲安 李竞 杜焱

中南大学学报(自然科学版)Issue(6):2366-2375,10.
中南大学学报(自然科学版)Issue(6):2366-2375,10.DOI:10.11817/j.issn.1672-7207.2015.06.050

双权重应急交通网络最优路径数学模型及算法研究

Model and its fast approximation algorithm of optimal route in a dual-weight emergency transportation network

盖文妹 1邓云峰 2蒋仲安 3李竞 4杜焱1

作者信息

  • 1. 北京科技大学土木与环境工程学院,北京,100083
  • 2. 国家行政学院,北京,100089
  • 3. 中国安全生产科学研究院公共安全研究所,北京,100012
  • 4. 国家行政学院,北京,100089
  • 折叠

摘要

Abstract

The graph theory and multi-objective optimization method were used to build a mathematical model for route selection in emergency network with double weights and a fast approximation algorithm was proposed to calculate it based on hyper-heuristic methodology. Several low-level heuristics were applied to get new heuristic algorithm and provide problem solving strategy for emergency decision-makers. Application effect of the designed algorithm in emergency management and decision-making was tested and compared with A* algorithm in a road map. A simulation was performed in different parameter settings ofc,b, n,δ1andδ2. The results show that the former has advantages on path optimization in an emergency network with double road-weights. The efficiency of the algorithm has a significant positive correlation with these parameters ofn,δ1andδ2, but not withcandb, and the proposed algorithm has a high efficiency which can provides powerful technical support for emergency decision and a strong powerful technical support for emergency relief and evacuation.

关键词

应急管理/路径选择/双权重网络/优化模型/超启发式算法

Key words

emergency management/path selection/dual-weight network/optimization model/hyper-heuristic algorithm

分类

资源环境

引用本文复制引用

盖文妹,邓云峰,蒋仲安,李竞,杜焱..双权重应急交通网络最优路径数学模型及算法研究[J].中南大学学报(自然科学版),2015,(6):2366-2375,10.

基金项目

国家自然科学基金资助项目(71173198,91324017,71103162);国家科技支撑计划项目(2012BAK03B05,2012BAK20B02);中国安全生产科学研究院基本科研项目(2014JBKY02)(Projects (71173198,91324017,71103162) supported by the National Natural Science Foundation of China (71173198,91324017,71103162)

Projects (2012BAK03B05,2012BAK20B02) supported by the National Science & Technology Pillar Program (2012BAK03B05,2012BAK20B02)

Project (2014JBKY02) supported by the Fundamental Scientific Project of China Academy of Safety Science and Technology) (2014JBKY02)

中南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1672-7207

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