摘要
灾后道路中断、道路通行可靠性减弱从根本上影响着救援工作的效率,文章通过在应急资源配送定位路径问题的基础上考虑对障碍道路进行修复。通过构建应急设施定位、障碍道路修复以及配送路径选择的综合优化模型,以应急救援的时间总成本最小为目标。集中考虑应急设施定位选址、修复障碍道路和选择配送路径的基础上,以时间总成本最小为目标函数,通过结合相关案例仿真与数据分析的基础上运用多吸引粒子群优化算法对模型进行求解,以期为灾后道路选择、提升道路通行可靠性和应急物资配送效率提供借鉴于理论指导。
Road damage, bridge collapse and the high risk of road network are the typical characters of emergency supplies distribution in the disaster. In this paper, distribution center location, road damage and traffic reliability are introduced to describe the effects on the distribution of emergency resource. Emergency resource distribution reliability path optimization model is established to minimize the rescue time. Then a Particle Swarm Optimization algorithm has been used to solve the model. With the help of empirical analysis in combination with an example, the model is proved suitable, which has a practical significance according to the distribution of emergency supplies under uncertain road network.
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2017年第12期77-82,共6页
Operations Research and Management Science
基金
科技部科技支撑项目(2015BAD18B05-04)
北京市属高校青年拔尖人才培育计划项目
北京工商大学2017年研究生科研能力提升计划项目
关键词
应急管理
配送路径优化
定位-路径问题
粒子群算法
道路修复
通行可靠性
emergency management
distribution route optimization
location-routing problem
particle swarm optimization
road repair
road reliability
