【摘要】 根据双向编组站车流作业的特点，将各车场能力、解体能力、交换作业能力、衔接方向的通过能力和编组场的股道数作为约束条件，将车辆在编组站的走行距离和集结时间、交换车的作业费用以及车辆在其它车场的作业费用作为目标函数，构造了车流接续的综合优化模型。采用遗传算法求解模型，并从多方面对遗传算法提出改进策略。仿真计算表明，该模型和算法能够有效地解决双向编组站的车流接续问题。更多还原

【Abstract】 According to characteristics of car flows operation at bidirectional marshalling station, we take every yard’s capacity, breaking capacity, operation capacity of transfer and exchange, carrying capacity of railway lines that linked the marshalling station and number of accumulating tracks as constrained condition, take running distance and accumulating time, operation costs of transfer and exchange cars between sorting yards and operation costs of cars in other yards as objective function,build a fresh mathematical model. The model is solved by using Genetic Algorithm, and improving strategy for solving model is proposed in this paper. The application example indicates that the model and algorithm can effectively solve the problem of car flows joining at bidirectional marshalling station.更多还原