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The berth allocation optimisation with the consideration of time-varying water depths

机译:考虑水深变化的泊位分配优化

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Confronting the challenges provided by jumbo container vessels, managers of world-class seaports must take into consideration water depths-related constraints when making the vessel berthing decisions. That is, when the water depths satisfy the requirement of jumbo vessels' drafts, these vessels are allowed to sail through the navigation channel. In this paper, we study a tactical berth allocation problem under the consideration of time-varying water depths. For the resolution, we propose an integer programming model, a set partitioning formulation and an improved differential evolutionary algorithm. Computational experiments demonstrate that the set partitioning formulation outperforms the integer programming model and can be applied to solve small- and medium-sized problems. The improved differential evolutionary algorithm is recommended for large-sized problems.
机译:面对巨型集装箱船所带来的挑战,世界级港口的管理者在决定停泊船只时必须考虑与水深相关的限制。即,当水深满足巨型船舶吃水的要求时,允许这些船舶航行通过航行通道。在本文中,我们研究了考虑水深随时间变化的战术泊位分配问题。对于分辨率,我们提出了整数规划模型,集合划分公式和改进的差分进化算法。计算实验表明,集合划分公式的性能优于整数规划模型,可用于解决中小型问题。对于大型问题,建议使用改进的差分进化算法。

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