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An Exact Algorithm for the Two-Dimensional Stage-Unrestricted Guillotine Cutting/Packing Decision Problem

机译:二维无限制断头台切纸/包装决策问题的精确算法

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We propose a new exact algorithm for the two-dimensional stage-unrestricted guillotine cutting/packing decision problem, which asks if a set of rectangular items can be cut from a single stock rectangle using guillotine cuts only, with fixed item orientation or with 90-degree item rotation. Our algorithm constructs patterns of items by means of horizontal and vertical builds. To speed up the algorithm and reduce its memory requirement, patterns are constructed in the order of nondecreasing waste, the patterns that use the same subset of items are grouped together, and dominated patterns in each group are discarded. Moreover, a heuristic capable of completing a partial pattern is repeatedly used during the algorithm to quickly determine a feasible solution. Furthermore, the algorithm tries to prove infeasibility with a subset of items before considering all items. We test our algorithm on benchmark instances for the two-dimensional guillotine strip-cutting problem, which we solve by varying the strip height and testing with our algorithm whether a feasible solution exists. We show that our approach outperforms all previously proposed algorithms for the problem with fixed item orientation. Computational experiments for the problem with item rotation are also reported.
机译:我们提出了一种针对二维阶段无限制断头台裁切/包装决策问题的新精确算法,该算法询问是否可以仅使用断头台切刀,以固定的项目方向或使用90-学位项目轮换。我们的算法通过水平和垂直构建来构建项目模式。为了加快算法的速度并减少其内存需求,按照不减少浪费的顺序构建模式,将使用相同项目子集的模式组合在一起,并丢弃每组中的主导模式。此外,在算法期间反复使用能够完成部分模式的试探法来快速确定可行的解决方案。此外,该算法尝试在考虑所有项目之前证明项目的子集不可行。我们在基准实例上测试了二维断头台条带切割问题的算法,该问题是通过改变条带高度并用我们的算法测试是否存在可行的解决方案来解决的。我们表明,对于固定项目方向的问题,我们的方法优于以前提出的所有算法。还报告了项目旋转问题的计算实验。

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