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Fast Slot Planning Using Constraint-Based Local Search

机译:使用基于约束的本地搜索的快速插槽计划

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Due to the economic importance of stowage planning, there recently has been an increasing interest in developing optimization algorithms for this problem. We have developed a 2-phase approach that in most cases can generate near optimal stowage plans within a few 100 s for large deep-sea vessels. This paper describes the constraint-based local search algorithm used in the second phase of this approach where individual containers are assigned to slots in each bay section. The algorithm can solve this problem in an average of 0.18 s per bay, corresponding to a runtime of 20 s for the entire vessel. The algorithm has been validated on a benchmark suite of 133 industrial instances for which 86% of the instances were solved to optimality.
机译:由于存放规划的经济重要性,最近对开发此问题的优化算法越来越令人兴趣。我们开发了一个两相的方法,在大多数情况下,在大型深海船舶的几个100秒内可以在几辆100秒内产生附近的最佳存放计划。本文介绍了基于约束的本地搜索算法,用于该方法的第二阶段,其中各个容器被分配给每个凸起部分中的插槽。该算法可以在每个托架平均为0.18秒的情况下解决这个问题,对应于整个容器的20 s的运行时间。该算法已在133个工业实例的基准套件上验证,其中86%的实例得到了最优性。

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