摘要
为优化中长距离高速列车停站设置,在分析高速列车停站设置制约因素的基础上构建车站服务频率模型。根据车站服务频率,以高速列车旅行时间最小与车站服务频率总和最大为目标建立多目标0-1规划优化模型,根据列车停站设置优化特点将可行域划分成若干子域,并且采用遗传算法对子域依序搜索求解。最后以某条客运专线为实例进行优化仿真,表明该模型及算法在列车停站设置优化方面具有较好的实用性和收敛速度。
In order to optimize the setting-up of high-speed train stops with middle and long distance, based on analyzing the restriction factors of setting up of the stops, the station service frequency model was established. According to the station service frequency, the multi-objects 0-1 planning optimized model was established by taking the minimum time of high-speed train traveling and maximum sum of station service frequency as objects, and according to the optimization characteristics of the train stops setting up, the feasible region was divided into several sub-regions and the solution on the sub-regions was searched by using genetic algorithm. In the end, the optimization simulation was applied by taking certain DPL as an example, the result shows the model and algorithm have better practicability and convergence rate on the aspect of setting-up optimization of train stops.
出处
《铁道运输与经济》
北大核心
2014年第8期32-37,共6页
Railway Transport and Economy
基金
国家自然科学基金(61273242)
中国铁路总公司科技研究计划项目(2013X006-A
2013X014-G
2013X010-A)
关键词
高速列车
车站服务频率
0-1规划
遗传算法
High-speed Train
Station Service Frequency
0-1 Planning
Genetic Algorithm
