Abstract To improve the operational efficiency of container terminals, it is important to consider the coordination of different types of container-handling equipment, which typically include vehicles, yard cranes and quay cranes. This paper addresses the integration of scheduling each constituent of handling equipment in an automated container terminal, in order to minimise the loading element of the ship’s berthing time. A mixed-integer programming (MIP) model was developed to mathematically formulate this challenge. Small-sized problems can be solved optimally using existing solver. In order to obtain approximately optimal solutions for large-sized problems, an adaptive heuristic algorithm was created that can adjust the parameters of a genetic algorithm (GA), according to the observed performance. Experiments were carried out for both small-sized and large-sized problems to analyse the impact of equipment used in the loading process on berthing and computation times, as well as to test the efficiency of our proposed adaptive GA in solving this integrated problem.

中文翻译：

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在自动化集装箱码头装载过程中安排集装箱装卸设备

摘要 为了提高集装箱码头的运营效率，重要的是要考虑不同类型的集装箱装卸设备的协调，这些设备通常包括车辆、堆场起重机和码头起重机。本文讨论了在自动化集装箱码头中对装卸设备的每个组成部分进行调度的集成，以最大限度地减少船舶靠泊时间的装载因素。开发了混合整数规划 (MIP) 模型以数学方式表述这一挑战。使用现有的求解器可以最优地解决小型问题。为了获得大型问题的近似最优解，创建了一种自适应启发式算法，该算法可以根据观察到的性能调整遗传算法 (GA) 的参数。