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An integrated simulation model and evolutionary algorithm for train timetabling problem with considering train stops for praying

机译:考虑祈祷停靠的火车时间表问题的集成仿真模型和进化算法

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This paper presents a simulation-based optimization approach for railway timetabling, which is made interesting by the need for trains to stop periodically to allow passengers to pray. The developed framework is based on integration of a simulation model and an evolutionary path re-linking algorithm with the capability of scheduling trains, subject to the capacity constraints in order to minimize the total waiting times. A customized deadlock avoidance method has been developed which is based on a conditional capacity allocation. The proposed look-ahead deadlock avoidance approach is effective and easy to implement in the simulation model. A case study of the Iranian Railway (RAI) is selected for examining the efficiency of the meta-heuristic algorithm. The result shows that proposed algorithm has the capability of generating good quality solution in real-world problems.
机译:本文提出了一种基于仿真的铁路时间表优化方法,该方法因需要定期停下来让乘客祈祷而变得有趣。所开发的框架基于仿真模型和具有调度列车功能的进化路径重新链接算法的集成,但要受容量约束的影响,以最大程度地减少总等待时间。已经开发了一种基于条件容量分配的定制死锁避免方法。所提的超前死锁避免方法有效且易于在仿真模型中实现。选择了伊朗铁路(RAI)的案例研究来检验元启发式算法的效率。结果表明,该算法能够解决现实问题中的高质量问题。

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