摘要
由于随机因素和不确定因素的影响,铁路列车容易出现时间偏差的问题,为此将改进的萤火虫算法引入铁路列车运行调度数学模型。为了实现列车的合理调度,在确保列车安全运行的前提下,使得铁路运行列车上行时间差和下行时间误差的总和最小。研究结果表明,通过IFA算法优化调整列车调度,在保证列车安全运行的情况下,可以将列车晚点产生的不利影响控制在很小的区间范围内。
Due to the influence of random factors and uncertain factors,railway trains are prone to the problem of time deviation,hence,an improved Firefly algorithm is introduced into the mathematical model of railway train operation scheduling.In order to achieve the reasonable scheduling of trains,under the premise of ensuring the safe operation of trains,the sum of the time difference and the time error of the train running on the railway are minimized.The results show that the train scheduling can be optimized by the IFA algorithm,and the adverse effects of train delays can be controlled in a small range under the condition of ensuring the safe operation of the train.
作者
徐虎
XU Hu(Department of Electromechanical Engineering,Xi'an Railway Vocational and Technical College,Xi'an 710016)
出处
《微型电脑应用》
2019年第11期102-105,共4页
Microcomputer Applications
关键词
萤火虫算法
数学模型
调度优化
铁路列车
粒子群算法
Firefly algorithm
Mathematical model
Scheduling optimization
Railway trains
Particle swarm algorithm