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中文摘要：
轨道门吊作为铁路集装箱中心站的核心资源,其调度策略直接影响中心站的运营效率和服务质量。本文针对铁路集装箱中心站轨道门吊的作业调度问题,在已知集装箱装卸位置的前提下,建立轨道门吊调度优化模型,确定最优的集装箱装卸作业顺序,使轨道门吊装卸任务完成时间最短。设计混合粒子群算法对模型进行求解,最后利用算例进行验证。结果表明;本文设计的算法能够比较有效地减少列车装卸作业时间和轨道门吊在装卸作业过程的空驶时间。
英文摘要：
Rail mounted gantry cranes（RMGCs） are the key resources of railway container terminals.The handling strategy of RMGCs significantly impacts the operation efficiency and service quality of railway container terminals.In this paper,to deal with the RMGC scheduling optimization problem of railway container terminals,the RMGC scheduling optimization model was established to determine the optimal loading-unloading sequence and to ensure loading-unloading operations to be implemented within the least possible period of time.The hybrid particle swarm optimization algorithm was designed to solve the model.Verification was made by numerical examples.The research results show that the proposed algorithm is effective to shorten the RMGC loading-unloading time and idle running time.
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