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

Trung Nguyen, D. Duong
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引用次数: 1

Abstract

The problem considering in this paper is as follows: Given n red points, m green points and p blue points on plane, how to 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 one. However, this algorithm has a big complexity: O(nmp). In this paper, we will present a heuristic algorithm with a better complexity to solve this problem. The heuristic algorithm is based on 2D Voronoi diagram.
平面上给定的三色点集合中最接近的三色点三组的启发式算法
本文考虑的问题是:平面上给定n个红点,m个绿点,p个蓝点,如何找到一个红绿蓝三者之间距离最小的点。这个问题可以通过穷举搜索算法来解决:测试所有3个不同颜色的点,找到最接近的一个。然而,该算法的复杂度很高:0 (nmp)。在本文中,我们将提出一个具有更好复杂度的启发式算法来解决这个问题。启发式算法基于二维Voronoi图。
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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