摘要
分析影响动车组运用计划编制的主要因素,在不固定动车组运用区段的前提下,根据列车运行图,以动车组的运用交路和检修模式为约束条件,以减少动车组的使用数量、降低检修成本为优化目标,建立动车组运用计划和检修计划的一体化优化模型,设计求解模型的遗传算法。
The paper analyzed the main factors that affected the EMU operation scheduling, established an integrated optimization model of EMU operation plan and maintenance plan. The model was established under the premise ofunsettled operating zone of EMU, according to the train operation diagram, constrained by EMU operation routing and maintenance mode, aimed to reduce the operation number of EMU and maintenance costs. The Genetic Algorithm was used to solve the model.
作者
罗荣辉
王焕民
秦慧芳
LUO Ronghui;WANG Huanmin;QIN Huifang(Mechatronics and T&R, Lanzhou Jiaotong University, Lanzhou 730070, China)
出处
《铁路计算机应用》
2016年第12期8-10,14,共4页
Railway Computer Application
关键词
动车组运用计划
检修计划
旅行商问题
遗传算法
EMU operation plan
maintenance plan
traveling salesman problem
Genetic Algorithm
