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CONTINUOUS DYNAMIC BERTH ALLOCATION STRATEGY BASING ON QUAY-CRANE SCHEDULING

机译:基于码头 - 起重机调度的连续动态泊位分配策略

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For berth allocation problem of container terminal, this paper put the wharf line of terminal be continuous and consider the operation time of quay-crane for loading and unloading, formulating berth allocation model basing on the quay-crane scheduling. The objective of model is to minimize the total time of ships at the terminal and the amount of quay-cranes' movements. Afterwards, to resolve the proposed model, a hybrid parallel genetic algorithm which combined parallel genetic algorithm and heuristic algorithm was employed. Eventually, for an example of a specific container terminal, the proposed model and algorithm was applied to make decisions on the berth allocation problem. Then comparing the scheduling scheme generated by the proposed approach and the actual scheme to demonstrate the availability and practicality of the model and algorithm.
机译:对于集装箱码头的泊位分配问题,本文将码头的码头线连续,考虑码头起重机的运行时间,用于装载和卸载,制定码头起重机调度的泊位分配模型。模型的目的是最大限度地减少终端的船舶的总时间和码头 - 起重机的运动量。然后,为了解决所提出的模型,采用了一种组合平行遗传算法和启发式算法的混合并行遗传算法。最终,对于特定容器终端的示例,应用了所提出的模型和算法来对泊位分配问题做出决定。然后比较所提出的方法生成的调度方案和实际方案来展示模型和算法的可用性和实用性。

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