A two-stage robust optimization approach for the berth allocation problem under uncertainty

A two-stage robust optimization approach for the berth allocation problem under uncertainty
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不确定性下泊位分配问题的两阶段鲁棒优化方法

DOI:
10.1007/s10696-019-09343-w
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发表时间:
2019-03
影响因子:
2.7
通讯作者:
Li Zheng
Li Zheng
中科院分区:
工程技术3区
文献类型:
--
作者:
Liu Changchun;Xi Xiang;Li Zheng

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本文研究了不确定条件下的泊位分配问题。我们使用不确定集来描述可能的情景,而不依赖于概率信息。然后,我们采用两阶段稳健优化方法,先制定基线调度,然后在已知中断后进行恢复操作。构造了三个两阶段稳健模型,以产生较不保守的解。实验结果表明,在基本代价略有增加的情况下,可以提高调度的稳健性。最后,基于数值结果,提出了一些管理上的见解。
This paper examines the berth allocation problem under uncertainty. We use uncertainty sets to describe the possible scenarios without depending on probabilistic information. Then we adopt a two-stage robust optimization approach where baseline schedule is made before and the recovery operation is made after the disruptions are known. Three two-stage robust models are constructed to generate less conservative solutions. Experimental results demonstrate that the schedule’s robustness can be improved with only a slight increase in the baseline cost. Finally, some management insights are presented based on the numerical results.
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