Minimisation of Networks Based on Computational Geometry Data Structures

M. Seda, Pavel Seda
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Abstract

In this paper, we deal with a problem of finding the shortest interconnection of points given in a Euclidean plane. The traditional strategy starts from the complete graph and finds its minimum spanning tree. However, this approach is proportional to the second power of the number of vertices, and, therefore, not very efficient. Additionally, if, instead of minimum spanning trees, minimum Steiner trees are considered, then the total length of the final network is decreased. Since the Steiner tree problem is NP-hard, in the case of large instances, heuristics must be used. Here, we propose a Delaunay triangulation-based deterministic heuristic and show that it gives very good results in short times.
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基于计算几何数据结构的网络最小化
在本文中,我们处理了一个求欧几里德平面上给定点的最短连通性的问题。传统策略从完全图出发,寻找其最小生成树。然而,这种方法与顶点数量的次幂成正比,因此效率不高。此外,如果不考虑最小生成树,而是考虑最小斯坦纳树,那么最终网络的总长度就会减小。由于斯坦纳树问题是np困难的,在大型实例的情况下,必须使用启发式。在这里,我们提出了一种基于Delaunay三角法的确定性启发式算法,并表明它在短时间内给出了非常好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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