基于遗传算法的集装箱码头内部转运双周期调度

G. Elnaggar, Y. Abouelseoud, M. Fors
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引用次数: 0

摘要

在过去的四十年中,标准化集装箱在货物运输中的使用无疑在世界范围内具有重要意义。在集装箱码头,集装箱由不同类型的运输车在船舶和集装箱堆场之间运输。提高运输船的利用率可以提高码头吞吐量和运营效率。这就是为什么采用双循环传输模式。在双循环转运模式中,运输工具在一个水池中运行,为几个起重机提供可选的装卸模式。虽然可以减少空行距离,但在有人集装箱码头很难采用双循环转运方式。转运器分组可以结合使用方便和双循环转运模式,同一组转运器在一个池中操作。本文提出了一种多层遗传算法(MLGA),该算法首先构造转运子群,然后以双周期的转移模式将转运子调度到同一转运池中。该决定旨在缩短集装箱装卸的最大作业时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual cycle mode scheduling of internal transfer in container terminals using a Genetic Algorithm
The use of standardized containers in cargo transportation has gained undoubted worldwide importance during the last four decades. At a container terminal, containers are transferred between vessels and container yard blocks by different types of transporters. Improving transporter utilization can lead to improving terminal throughput and operational efficiency. This is why dual-cycle transfer mode is applied. In dual-cycle transfer mode, transporters operate in a pool serving several cranes in alternative modes of loading or discharging. Although empty travel distance can be reduced, it is difficult to apply dual-cycle transfer mode at manned container terminals. Grouping of transporters can combine ease of use and dual-cycle transfer mode, where transporters in the same group operate in a pool. In this paper, a Multi-Layer Genetic Algorithm (MLGA) is developed to first construct groups of transporters, and then schedule transporters in the same pool in a dual cycle mode of transfer. The decision aims to decrease the makespan of discharging and loading of containers.
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