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Obstruction map local search solution for 2D irregular bin packing problem with cache acceleration

机译:具有高速缓存加速的二维不规则装箱问题的障碍图局部搜索解决方案

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In the field of the operational research, the cutting & packing problems are one of the most significant studied subjects. Among these problems, bi-dimensional irregular packing problems, which admits polygonal shaped items, are computationally challenging due to its geometrical complexity. Several advances were obtained for the irregular strip packing problem; however, it is very lacking for bin packing problems. Therefore, in this work, a strip packing solution is adapted to deal with the single size irregular bin packing problem. The proposed solution employs the obstruction map, which aids the overlap minimization for the dotted board model. Such approach is efficient as it reduces the search space by enforcing a grid placement restriction for items. Furthermore, a map caching acceleration strategy is studied in order to further improve its performance. Two solutions are proposed for the adaptation to the bin packing problem and preliminary tests were performed to check their applicabilities. Results show that the proposed approaches may be feasible, specially if the items are preassigned to objects. Moreover, tests showed that the map caching acceleration improved the performance of the algorithms by a factor of two.
机译:在运筹学领域,切割和包装问题是最重要的研究主题之一。在这些问题中,由于几何形状的复杂性,允许多边形物品进入的二维不规则堆积问题在计算上具有挑战性。不规则条带包装问题取得了一些进展。但是,它非常缺少垃圾箱包装问题。因此,在这项工作中,带状包装解决方案适用于处理单一尺寸的不规则垃圾箱包装问题。所提出的解决方案使用了障碍物图,这有助于虚线板模型的重叠最小化。这种方法是有效的,因为它通过对项目实施网格放置限制来减少搜索空间。此外,研究了地图缓存加速策略,以进一步提高其性能。提出了两种解决方案,以适应箱装箱问题,并进行了初步测试以检查其适用性。结果表明,所提出的方法可能是可行的,特别是在将项目预先分配给对象的情况下。此外,测试表明,地图缓存加速将算法的性能提高了两倍。

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