1. 上海交通大学 机械与动力工程学院， 上海 200240；2. 上海交通大学医学院附属瑞金医院 急诊科， 上海 200025
出版日期:2019-10-28发布日期:2019-11-01通讯作者:刘冉，副教授，电话（Tel.）: 021-34207590；E-mail：liuran2009@sjtu.edu.cn.作者简介:虎慧泽(1993-)，女，宁夏回族自治区银川市人，硕士生，研究方向为紧急医疗服务优化.基金资助:国家自然科学基金资助项目(71672112)，上海交通大学文科科研创新培育项目(WKCX1931)Location and Relocation of Ambulance for Time-Dependent Environments
HU Huize 1,YANG Zhitao 2,CHEN Erzhen 2,LIU Ran 11. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
Online:2019-10-28Published:2019-11-01摘要/Abstract
摘要： 院前急救对于挽救紧急危重病人的生命非常重要，科学合理地选择救护车站址可以减少救护车对紧急需求的响应时间，对于提升院前急救的质量至关重要.针对时变环境中救护车的布置和定位问题，建立面向时变系统的混合整数规划模型，并设计遗传算法求解该问题.通过数值实验验证了所提模型和算法对于院前急救管理的有效性.
关键词: 救护车； 选址； 重定位； 时变网络； 遗传算法
Abstract: Pre-hospital first aid is very important for saving the lives of emergency and critically patients. Scientific and reasonable location of ambulance stations can reduce the response time of ambulances to emergency needs and is essential to improve the quality of pre-hospital first aid. In this paper a mix integer programming model for ambulance location and relocation in time-dependent environments is established and an effective genetic algorithm is designed. Numerical experiments prove the effectiveness of the proposed model and the algorithm.
Key words: ambulance; location; relocation; time-dependent network; genetic algorithm
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