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Computational Intelligence and Neuroscience
Volume 2015 (2015), Article ID 326431, 12 pages
http://dx.doi.org/10.1155/2015/326431
Research Article

An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization

1School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
2School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou 511483, China
3Department of Electronic Engineering, City University of Hong Kong, Tat Chee Ave, Hong Kong

Received 12 December 2014; Accepted 15 April 2015

Academic Editor: Thomas DeMarse

Copyright © 2015 Zhen-Lun Yang 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

Zhen-Lun Yang, Angus Wu, and Hua-Qing Min, “An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization,” Computational Intelligence and Neuroscience, vol. 2015, Article ID 326431, 12 pages, 2015. doi:10.1155/2015/326431