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An iterative bidirectional heuristic placement algorithm for solving the two-dimensional knapsack packing problem

机译:一种解决二维背包包装问题的迭代双向启发式放置算法

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摘要

This article presents an efficient heuristic placement algorithm, namely, a bidirectional heuristic placement, for solving the two-dimensional rectangular knapsack packing problem. The heuristic demonstrates ways to maximize space utilization by fitting the appropriate rectangle from both sides of the wall of the current residual space layer by layer. The iterative local search along with a shift strategy is developed and applied to the heuristic to balance the exploitation and exploration tasks in the solution space without the tuning of any parameters. The experimental results on many scales of packing problems show that this approach can produce high-quality solutions for most of the benchmark datasets, especially for large-scale problems, within a reasonable duration of computational time.
机译:本文提出了一种高效的启发式放置算法,即双向启发式放置,用于解决二维矩形背包包装问题。 启发式通过将来自当前残余空间层的壁的两侧逐层安装适当的矩形来证明可以最大限度地利用空间利用的方法。 开发迭代本地搜索以及换档策略,并应用于启发式,以平衡解决方案空间中的开发和探索任务,而不会调整任何参数。 在许多包装问题上的实验结果表明,这种方法可以为大多数基准数据集产生高质量解决方案,尤其是在合理的计算时间持续时间内进行大规模问题。

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