车流波动条件下铁路枢纽编组站作业分工的优化  

An optimization for task assignment of classification yards in railway hubs with traffic undulation

作　　者：牛惠民[1] 

机构地区：[1]兰州铁道学院交通运输工程系,甘肃兰州730070

出　　处：《铁道学报》2003年第1期3-8,共6页Journal of the China Railway Society

基　　金：兰州铁道学院青蓝人才工程资助

摘　　要：车流量的波动变化是铁路运输工作中不可回避的现象,该现象必然会影响根据平均车流量得到的运输组织方案的真实性和有效性。本文以铁路枢纽编组站作业分工为背景,研究车流波动条件下运输组织优化问题的随机化构模方法,利用置信水平的概念将所建模型转化成一个概率意义上的最优化模型,提出了基于约束条件随机检验的复合遗传算法。仿真计算表明,提出的模型和算法能够有效地解决车流波动条件下铁路运输组织的优化问题。The events of traffic undulation are usually occurred in railway industry, which will affect the reality and efficiency of the transport plan based on the average traffic volumes. This article studies the approach for formulating the optimal model of transport organization with traffic undulation using stochastic theory, with a case study of the task assignment among classification yards for railroad hubs. An optimal model with probability mode is presented by the accept level, and a hybrid genetic algorithm based on the random test of the conditions is proposed. The simulation results show that the model and algorithm developed here can solve effectively the problem of transport origination optimization with traffic undulation.

关 键 词：车流波动 随机优化 遗传算法 随机检验 编组站分工 铁路枢纽 

分 类 号：U292.18[交通运输工程—交通运输规划与管理]