摘要
为了解决应对重大突发事件过程中应急需求的多点同时需求和多次需求问题,本文研究了应对重大突发事件的应急服务设施布局中的覆盖问题:针对重大突发事件应急响应的特点,引入最大临界距离和最小临界距离的概念,在阶梯型覆盖质量水平的基础上,建立了多重数量和质量覆盖模型。模型的优化目标是满足需求点的多次覆盖需求和多需求点同时需求的要求条件下,覆盖的人口期望最大,并用改进的遗传算法进行求解;最后给出的算例证明了模型和算法的有效性,从而应急设施的多重覆盖选址模型能够为有效应对重大突发事件的应急设施选址决策提供参考依据。
In order to satisfy the multi-requirements for emergency facilities in response for large-scale emergencies,this paper mainly focuses on the covering location problem.Considering the special characteristics of large-scale emergency response,two concepts are introduced in this paper,that is,the minimum critical covering distance and the maximum critical covering distance for demand point.A multi-covering location model for facility response for large-scale emergencies is proposed based on the multi-quantity and quality service for demand.The objective of this model is to maximize the population covered by facilities as much as possible,addressing the demand uncertainty and multi-time coverage at the same time.The improved genetic algorithm is designed for solving the problem and a computational experiment illustrates how the proposed model works on this problem.the results show the effects of the proposed model and the algorithm.So,this proposed model can give some advise for the facility location decision response for large-scale emergencies.
出处
《运筹与管理》
CSCD
北大核心
2011年第5期50-56,共7页
Operations Research and Management Science
基金
国家“985”二期“城市建设与防灾”子项目(985-Ⅱ-CJF-10)
关键词
设施选址
多重覆盖模型
改进的遗传算法
应急设施
facility location
multi-covering location model
improved genetic algorithm
emergency facility
