太赫兹科学与电子信息学报, 2017, 15 (2): 292, 网络出版: 2017-06-06
动车调车作业优化模型及解算
EMU shunting operation optimization model and solution
摘要
随着我国高速铁路的发展,动车组数量的增多,检修计划编制工作量将日益繁重。因此,开展检修调度优化研究十分必要。在优化建模的基础上,选择了遗传算法进行求解,经 Matlab的仿真进行验证分析,适应度函数在特定点后达到相对稳定状态,算法在波动一段时间后趋于稳定,函数得到最优解。
Abstract
With the development of high-speed railway in our country,and the increase in the number of Electric Multiple Units(EMU),preparation of plans to overhaul becomes a heavy workload. Therefore,the study of maintenance scheduling optimization is necessary. Based on the optimization modeling, Genetic Algorithm(GA) is adopted to solve this problem.Through the simulation in Matlab,the fitness function can reach a steady state at a specific point;and the fitness function can get the optimal solution.
徐金钰, 吕闪, 贾苏元, 李慧. 动车调车作业优化模型及解算[J]. 太赫兹科学与电子信息学报, 2017, 15(2): 292. XU Jinyu, LYU Shan, JIA Suyuan, LI hui. EMU shunting operation optimization model and solution[J]. Journal of terahertz science and electronic information technology, 2017, 15(2): 292.