NDLI: A Dynamic Alignment Hybrid Ant-Clustering Algorithm for Aerial Attack Directions Judgment Problem

Content Provider	IEEE Xplore Digital Library
Author	Tiaoping Fu Yushu Liu Jianhua Chen
Copyright Year	2006
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol. (Tiaoping Fu; Yushu Liu)
Abstract	An improved ant-clustering algorithm is designed and realized. In relation to aerial attack directions judgment problem, the deficiencies of traditional clustering algorithms which can be used to deal with the problem are analyzed. A dynamic alignment hybrid ant-clustering algorithm for solving the problem is designed based on the ant-clustering characters of needn't inputting the initial parameter of clustering number, good robustness, visualization etc. The improved ant-clustering algorithm can make full use of aerial target information and dynamically align parameters to gain the reasonable clustering number and accelerate convergence. Furthermore, the algorithm has good robustness when dealing with the isolated data. The experiment results demonstrate that the new algorithm improves the precision and reasonableness in solving aerial attack directions judgment problem
Starting Page	4137
Ending Page	4141
File Size	281522
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Algorithm design and analysis Robustness Computer science Arm Data visualization Acceleration Convergence Intelligent control Automation ant-clustering algorithm dynamic alignment aerial attack directions judgment
Content Type	Text
Resource Type	Article

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