摘要
在铁路车流组织问题中 ,仅考虑重车流的优化是不全面的 ,而单纯的空车调配又无多大意义 ,只有将二者结合起来协调优化 ,才可能产生真正合理的车流组织方案。在对铁路枢纽运输组织规律进行分析的基础上 ,将枢纽内编组站的作业分工与空车流的合理调配纳为一起 ,构造了重空车流组织的协调优化模型 ,建立了基于遗传算法的求解理论。仿真计算表明 。
In problem of the railway traffic organization, it is unreasonable to consider only the heavy traffics, and insignificant to assign exclusively the empty cars. The actual and rational plan of traffic organization can be generated with integrating the heavy and empty traffics. Based on profound analysis of transport organization in railway hubs, this paper combines the division of work among marshalling stations and the allocation of empty cars in railway hubs, and formulates a new model of cooperative optimization of heavy and empty traffic organization. The solution algorithm that based on Genetic Algorithm is developed, and the testing example indicates that the model and algorithm built in this paper can solve effectively the practical problem in transportation.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2001年第4期12-16,共5页
Journal of the China Railway Society
关键词
铁路枢纽
编组站
空车调配
作业分工
协调优化
遗传算法
模型
railway hub (railway junction terminal)
marshalling station
allocation of empty cars
division of work
cooperative optimization
genetic algorithm
