基于FJSP的医疗救治系统调度优化研究

Research on Scheduling Optimization of Medical Treatment System Based on Flexible Job-Shop Scheduling Problem

将柔性作业车间调度(Flexible Job-shop Scheduling Problem, FJSP)模型引入到军队医疗救治系统调度研究中,构建起伤员排程和装备选择的数学模型;融合遗传算法和变邻域搜索算法改进粒子群算法,实现了伤员救治排程和装备分配选择的合理优化;以伤员救治及时率为目标,通过多次仿真调度实验对比,发现了军队医疗救治系统规律,为指挥员调度决策提供了参考,也验证了医疗救治系统调度模型的合理性和有效性。

In this paper,the Flexible job-shop Scheduling Problem(FJSP)model was introduced into the research of military medical treatment system scheduling,and the mathematical models of wounded sorting and equipment selection were constructed.Secondly,the genetic algorithm and the variable neighborhood search algorithm were combined to improve the particle swarm optimization algorithm,which realized the reasonable optimization of the treatment schedule and equipment allocation.Finally,with the timely rate of wounded treatment as the target,the law of military medical treatment system was found through multiple simulation and scheduling experiments,which provides a reference for the commander's scheduling decision.