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A heuristic method for solving triangle packing problem

机译:一种求解三角堆积问题的启发式方法

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摘要

Given a set of triangles and a rectangle container, the triangle packing problem is to determine if these triangles can be placed into the container without overlapping. Triangle packing problem is a special case of polygon packing problem and also NP-hard, so it is unlikely that an efficient and exact algorithm can be developed to solve this problem. In this paper, a new concept of rigid placement is proposed, based on which a discrete solution space called rigid solution space is constructed. Each solution in the rigid solution space can be built by continuously applying legal rigid placements one by one until all the triangles are placed into the rectangle container without overlapping. The proposed Least-Destruction-First (LDF) strategy determines which rigid placement has the privilege to go into the rectangle container. Based on this, a heuristic algorithm is proposed to solve the problem. Combining Least-Destruction-First strategy with backtracking, the corresponding backtracking algorithm is proposed. Computational results show that our proposed algorithms are efficient and robust. With slight modification, these techniques can be conveniently used for solving polygon packing problem.
机译:给定一组三角形和一个矩形容器,三角形堆积问题是确定是否可以将这些三角形放置在容器中而不会重叠。三角形堆积问题是多边形堆积问题的一个特例,也是NP难的问题,因此不太可能开发出一种有效且精确的算法来解决该问题。本文提出了一种新的刚性放置概念,在此基础上构造了一个离散的求解空间,称为刚性求解空间。可以通过一个接一个地连续应用合法的刚性放置,直到所有三角形都放置在矩形容器中而不重叠,来构建刚性解决方案空间中的每个解决方案。提议的最小破坏优先(LDF)策略确定哪个刚性放置有权进入矩形容器。在此基础上,提出了一种启发式算法来解决该问题。将最小破坏优先策略与回溯相结合,提出了相应的回溯算法。计算结果表明,我们提出的算法是有效和鲁棒的。稍加修改,这些技术就可以方便地用于解决多边形堆积问题。

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