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Computational Intelligence and Neuroscience
Volume 2016 (2016), Article ID 4835932, 14 pages
http://dx.doi.org/10.1155/2016/4835932
Research Article

Improved Ant Colony Clustering Algorithm and Its Performance Study

Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China

Received 25 May 2015; Revised 18 August 2015; Accepted 16 September 2015

Academic Editor: Jussi Tohka

Copyright © 2016 Wei Gao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Wei Gao, “Improved Ant Colony Clustering Algorithm and Its Performance Study,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 4835932, 14 pages, 2016. doi:10.1155/2016/4835932