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Computational Intelligence and Neuroscience
Volume 2014, Article ID 857254, 17 pages
http://dx.doi.org/10.1155/2014/857254
Research Article

An Effective Hybrid Cuckoo Search Algorithm with Improved Shuffled Frog Leaping Algorithm for 0-1 Knapsack Problems

1School of Information Engineering, Shijiazhuang University of Economics, Shijiazhuang 050031, China
2School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China
3School of Mathematical Science, Kaili University, Kaili, Guizhou 556011, China

Received 4 June 2014; Revised 13 September 2014; Accepted 14 September 2014; Published 22 October 2014

Academic Editor: Saeid Sanei

Copyright © 2014 Yanhong Feng 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

Yanhong Feng, Gai-Ge Wang, Qingjiang Feng, and Xiang-Jun Zhao, “An Effective Hybrid Cuckoo Search Algorithm with Improved Shuffled Frog Leaping Algorithm for 0-1 Knapsack Problems,” Computational Intelligence and Neuroscience, vol. 2014, Article ID 857254, 17 pages, 2014. https://doi.org/10.1155/2014/857254.