摘要
对灾区应急医疗设置及救援方式的选取,可有效地降低灾区人员伤亡、伤员死伤率。对应急医疗设置及救援方式选取的优化,需要利用多目标优化组建的隶属度函数,搜索最优解,完成对救援方式的选取。传统方法根据救援方式的最优选择设计神经网络,构造最优选取能量函数,但忽略了最优解的求取,导致救援方式的选取精度低。提出基于遗传多目标优化的应急医疗单元设置及救援方式的选取模型。获取阶段性应急医疗救援中心的服务需求,确定最优选取策略,利用遗传理论思想将救援方式选取优化问题转换为多目标优化问题,给出多目标优化的隶属度函数,最终搜索获得应急医疗单元设置及救援方式的最优解,并组建应急医疗单元设置及救援方式的选取模型。仿真结果表明,所提模型可以有效解决应急医疗单元设置及救援方式的选择问题,为应急医疗救援力量配置提供科学参考。
A selection model for emergency medical setup and rescue manner in disaster area is presented based on genetic multi-objective optimization.Firstly,the service requirement of emergency medical rescue center in stages is acquired,and the optimal selection strategy is confirmed.Then,the genetic theory is used to convert optimization of rescue manner selection into multi-objective optimization,and its member function is given out.Finally,the optimal solution of emergency medical setup and rescue manner is searched and obtained,and the selection model is built.Simulation results show that the proposed model can solve the selection problem effectively.It can provide scientific reference for allocating rescue forces of emergency medical.
出处
《计算机仿真》
北大核心
2017年第3期332-335,共4页
Computer Simulation
基金
陕西省大学生创新创业训练计划项目(1504)
关键词
应急医疗单元设置
救援方式
优化
Setup of emergency medical unit
Rescue mode
Selection
