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The best-fit heuristic for the rectangular strip packing problem: An efficient implementation and the worst-case approximation ratio

机译:矩形带包装问题的最佳拟合启发式方法:高效实现和最坏情况下的近似率

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We investigate the best-fit heuristic algorithm by Burke et al. [2004. A new placement heuristic for the orthogonal stock-cutting problem. Operations Research 52, 655-671] for the rectangular strip packing problem. For its simplicity and good performance, the best-fit heuristic has become one of the most significant algorithms for the rectangular strip packing. In this paper, we propose an efficient implementation of the best-fit heuristic that requires O(n) space and O(n log n) time, where n is the number of rectangles. We prove that this complexity is optimal, and we also show the practical usefulness of our implementation via computational experiments. Furthermore, we give the worst-case approximation ratio of the best-fit heuristic.
机译:我们研究了Burke等人的最佳拟合启发式算法。 [2004年。正交切削问题的一种新的放置启发法。运筹学52,655-671]。由于其简单性和良好的性能,最佳拟合启发式算法已成为矩形条带包装的最重要算法之一。在本文中,我们提出了一种最佳拟合启发式算法的有效实现,该算法需要O(n)空间和O(n log n)时间,其中n是矩形的数量。我们证明了这种复杂性是最佳的,并且我们还通过计算实验证明了实现的实用性。此外,我们给出了最佳拟合启发式算法的最坏情况下的近似比率。

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