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MODELLING OF THE UNLOADING PROBLEM IN AN AUTOMATED CONTAINER TERMINAL

机译:自动化集装箱码头中卸货问题的建模

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Efficient scheduling of vehicles and allocating container storage locations are important in container terminal operations. This research investigates the integration of these two problems for the unloading process in an automated container terminal. The detailed schedule for each vehicle during the unloading process and the allocated storage location for each container are determined. A mixed-integer programming (MIP) is provided. A series of experiments are carried out: existing solver for small-sized problems and a genetic algorithm (GA) for large-sized problems. The solutions from GA are compared with the optimal solutions obtained from existing optimisation solver in small-sized problems. The results show that both the model and solution methods are efficient in solving the integrated optimisation problem.
机译:在集装箱码头操作中,有效的车辆调度和分配集装箱存放位置很重要。这项研究调查了自动化集装箱码头中卸载过程中这两个问题的整合。确定在卸载过程中每个车辆的详细时间表以及每个集装箱的分配存储位置。提供了混合整数编程(MIP)。进行了一系列实验:现有的解决小问题的算法和遗传算法(GA)的大问题。将GA的解决方案与从现有的优化求解器获得的针对小问题的最优解决方案进行比较。结果表明,模型和求解方法均能有效解决集成优化问题。

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