{"title":"A Heuristic Algorithm for Finding the Closest Trio of 3-Colored Points from a Given Set of 3-Colored Points on Plane","authors":"Trung Nguyen, D. Duong","doi":"10.1109/rivf.2012.6169857","DOIUrl":null,"url":null,"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.","PeriodicalId":115212,"journal":{"name":"2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/rivf.2012.6169857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.