Efficient Heuristics for the Dynamic Berth Allocation Problem in Discrete Berthing Locations

Yukiko Yamakawa, A. Imai, E. Nishimura
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引用次数: 1

Abstract

Marine container terminal is a switching facility of containers between sea and Iand as well as between deepsea and shortsea for sea transiportation legs. The overall terminal eenciency highly depends on harmenized operations of complicated and difierent handling tasks being undertaken at the terminal. One of the most important operational issues is the berth allocation schecluling (or berth aliocation problem), becagse an improper berth schedule forces ships to be berthed far from their containers to be handled in a yard. Such an unproductive servjce situation is never able to be overcome by any proper operational efforts fbr other handling tasks, The authors developed heuristics that were implemented using a subgradient optimization technique with a Lagrangian relaxation to the original problem for the dynamic berth allocation problem in discrete lecations. This study improves the heuristics by introducing a new procedure to find a better feasible solution in the entire iterative process of subgradient technique.
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离散泊位动态分配问题的有效启发式算法
海运集装箱码头是集装箱在海陆之间、深海与近海之间的中转设施,是海上运输的枢纽。码头的整体效率在很大程度上取决于在码头进行的复杂和不同的处理任务的协调操作。泊位分配调度(或泊位分配问题)是最重要的操作问题之一,因为不适当的泊位调度迫使船舶停泊在远离集装箱的地方。这种非生产性服务状况是任何适当的操作努力或其他处理任务都无法克服的。作者开发了启发式方法,该启发式方法使用亚梯度优化技术与拉格朗日松弛法来实现离散站点动态泊位分配问题的原始问题。本研究改进了启发式算法,在次梯度法的整个迭代过程中引入了一种新的方法来寻找更好的可行解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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