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The Scientific World Journal
Volume 2013, Article ID 172193, 8 pages
http://dx.doi.org/10.1155/2013/172193
Research Article

Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy

1Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, 47 Yanzheng Street, Changsha, Hunan 410073, China
2Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB, Canada T6R 2V4
3Warsaw School of Information Technology, Newelska 6, Warsaw, Poland
4School of Civil Engineering and Architecture, Central South University, Changsha, Hunan 410004, China
5School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China

Received 13 August 2013; Accepted 8 September 2013

Academic Editors: P. Bala and P. K. Egbert

Copyright © 2013 Guohua Wu 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

Guohua Wu, Witold Pedrycz, Haifeng Li, Dishan Qiu, Manhao Ma, and Jin Liu, “Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy,” The Scientific World Journal, vol. 2013, Article ID 172193, 8 pages, 2013. https://doi.org/10.1155/2013/172193.