基于网格化管理视角下灾后应急物流决策模型与算法研究

灾害发生后,应急资源的需求预测与应急配送中心的合理选址是实现高效救援的关键。本文通过在网格化管理视角下的信息更新将应急救援过程划分为多个阶段,在开展救援的过程中实现救援信息收集和救援预测的同步开展,建立一种多阶段带时间约束的应急救援物资配送响应-时效性的选址模型。借助遗传算法(NSGA-II),实现了基于编码结构独立、路径相互关联基础上的多目标规划求解。本研究的决策模型及算法有着较好的搜索与寻优能力,对实际救援开展具有指导意义。

Emergency Distribution Center Location Model And Application Based on The Grid Management Perspective

The demand prediction of emergency resources and the reasonable location of emergency distribution center are the key to realizing efficient rescue afterdisastersoccur.The emergency rescue process canbe divided into multiple stages through information updating from the perspective of grid management and the simultaneous development of rescue information collection and rescue prediction is realized during the rescue process.A multi-stage time-constrained location selection model of emergency relief supplies distribution is established.With the help of genetic algorithm(NSGA-II),the multi-objective programming solution based on independent coding structure and interrelated paths is realized.The decision model and algorithm in this study have better search and optimization ability,which is of guiding significance to the actual rescue.