计算机技术与发展2024，Vol.34Issue(5)：163-169,7.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0055
基于改进麻雀搜索算法的病患分配调度
Patient Allocation Scheduling Based on Improved Sparrow Algorithm
摘要
Abstract
In the outbreak of sudden public health events,a large number of patient groups and the limited supply of medical resources will form a sharp conflict,affecting the efficiency of epidemic prevention,control and treatment.In order to meet the demand of patients and improve the efficiency of medical resources,we establish a mathematical model with the optimization objectives of minimizing the average admission time and minimizing the maximum admission time,introduce the sine-cosine search strategy in the sparrow search algorithm to make the generated individuals have diversity,and add the t-distribution perturbation strategy to the optimal group to avoid the algorithm falling into the local optimum.We use the sparrow search algorithm,the improved sparrow search algorithm,and the quantum particle swarm algorithm to solve the mathematical model proposed,and compare and analyze the results.Taking city Y as an example,city Y is divided into 9 population areas and 6 hospitals for the simulation experimental study of patient allocation scheduling.The proposed math-ematical model can accurately describe the patient consultation problem during the pandemic,and the proposed algorithm can quickly give the patient treatment allocation plan,so that patients can get the corresponding rescue in a shorter time,and also avoid the further spread of infectious epidemics.关键词
病患分配/数学模型/改进麻雀搜索算法/突发公共卫生事件/多目标优化Key words
patient allocation/mathematical model/improved sparrow search algorithm/public health emergencies/multi-objective opti-mization分类
信息技术与安全科学引用本文复制引用
何雨欣,田云娜,齐娅惠..基于改进麻雀搜索算法的病患分配调度[J].计算机技术与发展,2024,34(5):163-169,7.基金项目
国家自然科学基金项目(61763046,62041212) （61763046,62041212）
延安大学研究生专项研究项目(YCX20222071) （YCX20222071）
延安大学研究生教育创新计划项目(YCX2021053) （YCX2021053）
