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A Better Heuristic Algorithm for Finding the Closest Trio of 3-colored Points from a Given Set of 3-colored Points on a Plane

机译:一种从平面上给定的三色点集中找到最接近的三色点三重奏的启发式算法

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摘要

We consider the following problem: Given n red points, m green points and p blue points on a plane, find a trio of red-green-blue points such that the distance between them is smallest. This problem could be solved by an exhaustive search algorithm: test all trios of 3 different colored points and find the closest trio. However, this algorithm has the complexity of O(N~3), N = max(n,p, q). In our previous research, we already showed a heuristic algorithm with a good complexity to solve this problem based on 2D Voronoi diagram. In this paper, we introduce a better heuristic algorithm for solving this problem. This new heuristic algorithm has the same complexity but it performs much better than the old one.
机译:我们考虑以下问题:在平面上给定n个红色点,m个绿色点和p个蓝色点的情况下,找到三组红绿蓝点,使它们之间的距离最小。这个问题可以通过穷举搜索算法解决:测试3个不同色点的所有三重奏并找到最接近的三重奏。但是,该算法的复杂度为O(N〜3),N = max(n,p,q)。在我们之前的研究中,我们已经展示了一种基于二维Voronoi图的具有良好复杂度的启发式算法来解决该问题。在本文中,我们引入了一种更好的启发式算法来解决该问题。这种新的启发式算法具有相同的复杂度,但其性能要比旧算法好得多。

著录项

  • 来源
    《Fundamenta Informaticae》 |2014年第2期|219-229|共11页
  • 作者单位

    The University of Pedagogy, Ho Chi Minh City, Vietnam;

    Multimedia Lab, The University of Information Technology (UIT) Vietnam National University, Ho Chi Minh City (VNU-HCM), Vietnam;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    colored points; Voronoi diagram; min-max problem;

    机译:彩色点Voronoi图;最小-最大问题;

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