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Packing Compaction Algorithm for Rectangular Cutting and Orthogonal Packing Problems

机译:矩形切割和正交包装问题的包装压缩算法

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The rectangular cutting and orthogonal packing problems which have many practical applications in industry and engineering are considered. Increasing the density of placement schemes leads to reducing the material usage in solving the rectangular cutting problems and reducing the unused resources at solving the orthogonal packing problems. This article contains the description of the developed packing compaction algorithm and its investigation. This algorithm uses six object selection rules, which select objects from a container for deleting and subsequent reallocation of them into freed spaces of the container. The packing compaction algorithm iteratively applies a one-pass heuristic algorithm which finds the best placement of the deleted objects in order to increase the density of the result packing. The effectiveness of the application of the proposed algorithm is investigated on the standard two-dimensional strip packing problems which are the rectangular cutting problems with only one container of a fixed width and an infinite length. Based on the test results, the effective sequence of application of the proposed rules used as the part of the packing algorithm was determined. The packing compaction algorithm is implemented in a general form which makes it possible for application in the rectangular cutting and orthogonal packing problems of arbitrary dimension.
机译:考虑了在工业和工程中具有许多实际应用的矩形切割和正交包装问题。增加放置方案的密度导致降低求解矩形切割问题的材料使用,并减少解决正交包装问题的未使用资源。本文包含开发的包装压缩算法及其调查的描述。该算法使用六个对象选择规则,该规则从容器中选择对象以删除并随后将它们重新分配到容器的释放空间中。包装压缩算法迭代地应用一键启发式算法,该算法可以找到删除对象的最佳放置,以增加结果包装的密度。研究了所提出的算法应用的有效性在标准的二维条装问题上,是仅具有固定宽度的一个容器和无穷长的矩形切割问题。基于测试结果,确定了用作包装算法部分的所提出的规则的有效应用序列。包装压缩算法以一般的形式实现,这使得可以在任意尺寸的矩形切割和正交包装问题中应用。

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