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VCS: A new heuristic function for selecting boxes in the single container loading problem

机译:VCS:一种新的启发式功能,用于在单个集装箱装载问题中选择箱子

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The single container loading problem consists of a container that has to be filled with a set of boxes. The objective of the problem is to maximize the total volume of the loaded boxes. For solving the problem, constructive approaches are the most successful. A key element of these approaches is related to the selection of the box to load next. In this work, we propose a new evaluation function for ranking boxes. Our function rewards boxes that fit well in the container, taking into account the previously placed ones. To construct a more robust function, we consider some other well-known evaluation criteria such as the volume of the block and the estimated wasted volume in the free space of the container. Our approach shows promising results when compared with other state-of-the-art algorithms on a set of 1600 well known benchmark instances. (C) 2017 Elsevier Ltd. All rights reserved.
机译:单个集装箱的装载问题由必须用一组箱子装满的集装箱组成。该问题的目的是使装载的盒子的总体积最大化。对于解决问题,建设性的方法是最成功的。这些方法的关键要素与接下来要加载的盒子的选择有关。在这项工作中,我们为排行榜提出了一种新的评估功能。考虑到先前放置的盒子,我们的功能会奖励非常适合容器的盒子。为了构建更强大的功能,我们考虑其他一些众所周知的评估标准,例如块的体积和容器自由空间中的估计浪费体积。与1600个知名基准实例集上的其他最新算法相比,我们的方法显示出令人鼓舞的结果。 (C)2017 Elsevier Ltd.保留所有权利。

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