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Computational Intelligence and Neuroscience
Volume 2016, Article ID 5803893, 12 pages
http://dx.doi.org/10.1155/2016/5803893
Research Article

A Biogeography-Based Optimization Algorithm Hybridized with Tabu Search for the Quadratic Assignment Problem

1Faculty of Computing, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia
2School of Quantitative Sciences, UUM College of Arts and Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
3Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Received 13 August 2015; Accepted 25 October 2015

Academic Editor: Ezequiel López-Rubio

Copyright © 2016 Wee Loon Lim 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

Wee Loon Lim, Antoni Wibowo, Mohammad Ishak Desa, and Habibollah Haron, “A Biogeography-Based Optimization Algorithm Hybridized with Tabu Search for the Quadratic Assignment Problem,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 5803893, 12 pages, 2016. https://doi.org/10.1155/2016/5803893.