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BioMed Research International
Volume 2016, Article ID 9721713, 12 pages
http://dx.doi.org/10.1155/2016/9721713
Research Article

Hybrid Binary Imperialist Competition Algorithm and Tabu Search Approach for Feature Selection Using Gene Expression Data

1Information Engineering College, Shanghai Maritime University, Shanghai 201306, China
2Faculty of Engineering, University of Toyama, Toyama-shi 930-8555, Japan

Received 15 April 2016; Accepted 22 June 2016

Academic Editor: Jialiang Yang

Copyright © 2016 Shuaiqun Wang et al. 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

Shuaiqun Wang, Aorigele, Wei Kong, Weiming Zeng, and Xiaomin Hong, “Hybrid Binary Imperialist Competition Algorithm and Tabu Search Approach for Feature Selection Using Gene Expression Data,” BioMed Research International, vol. 2016, Article ID 9721713, 12 pages, 2016. https://doi.org/10.1155/2016/9721713.