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A best-fit heuristic algorithm for two-dimensional bin packing problem

机译:一种最适合二维箱包装问题的启发式算法

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Two-dimensional bin packing problem (2D-BPP) is to minimize the number of the used large rectangles (bins) for packing a set of small rectangles (items). In this paper, a best-fit algorithm (BF) based on the strategy of concave corner and best fitness value for this problem is proposed. Experimental results show that this heuristic algorithm could obtain better and reliable results for almost all test instances in less time than some classical algorithms.
机译:二维垃圾箱包装问题(2D-BPP)是最小化用于包装一组小矩形(项目)的使用大矩形(箱)的数量。本文提出了一种基于凹入曲折策略和该问题的最佳健康值的最佳拟合算法(BF)。实验结果表明,这种启发式算法可以在比某些经典算法较少的时间内获得几乎所有测试实例的更好和可靠的结果。

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