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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.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Guohua Wu, Ying Yu, Haifeng Li, Dishan Qiu, Witold Pedrycz, and Manhao Ma, “Superior solution guided particle swarm optimization combined with local search techniques,” Expert Systems with Applications, vol. 41, no. 16, pp. 7536–7548, 2014. View at Publisher · View at Google Scholar
  • Guohua Wu, Witold Pedrycz, Manhao Ma, Dishan Qiu, Haifeng Li, and Jin Liu, “A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy,” Scientific World Journal, 2014. View at Publisher · View at Google Scholar
  • Guohua Wu, Witold Pedrycz, P. N. Suganthan, and Rammohan Mallipeddi, “A variable reduction strategy for evolutionary algorithms handling equality constraints,” Applied Soft Computing, vol. 37, pp. 774–786, 2015. View at Publisher · View at Google Scholar
  • Guohua Wu, “Across neighborhood search for numerical optimization,” Information Sciences, vol. 329, pp. 597–618, 2016. View at Publisher · View at Google Scholar
  • Guohua Wu, Witold Pedrycz, P.N. Suganthan, and Haifeng Li, “Using Variable Reduction Strategy to Accelerate Evolutionary Optimization,” Applied Soft Computing, 2017. View at Publisher · View at Google Scholar