动车调车作业优化模型及解算

EMU shunting operation optimization model and solution

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。

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.