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The Scientific World Journal
Volume 2014, Article ID 672983, 9 pages
http://dx.doi.org/10.1155/2014/672983
Research Article

Hybrid Biogeography-Based Optimization for Integer Programming

College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China

Received 15 January 2014; Accepted 17 March 2014; Published 3 June 2014

Academic Editors: S. Balochian and Y. Zhang

Copyright © 2014 Zhi-Cheng Wang and Xiao-Bei Wu. 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.

  • S. Salcedo-Sanz, J. Del Ser, I. Landa-Torres, S. Gil-López, and J. A. Portilla-Figueras, “The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems,” The Scientific World Journal, vol. 2014, pp. 1–15, 2014. View at Publisher · View at Google Scholar
  • Zhicong Li, and Xingsheng Gu, “Improved biogeography-based optimization algorithm used in solving hybrid flow shop scheduling problem,” Huagong Xuebao/CIESC Journal, vol. 67, no. 3, pp. 751–757, 2016. View at Publisher · View at Google Scholar
  • Haiping Ma, Dan Simon, Patrick Siarry, Zhile Yang, and Minrui Fei, “Biogeography-Based Optimization: A 10-Year Review,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 5, pp. 391–407, 2017. View at Publisher · View at Google Scholar
  • Yujun Zheng, Xueqin Lu, Minxia Zhang, Shengyong Chen, Yujun Zheng, Xueqin Lu, Minxia Zhang, and Shengyong Chen, “Application of Biogeography-Based Optimization in Image Processing,” Biogeography-Based Optimization: Algorithms and Applications, pp. 177–198, 2018. View at Publisher · View at Google Scholar
  • Mohammed Alweshah, “Construction biogeography-based optimization algorithm for solving classification problems,” Neural Computing and Applications, 2018. View at Publisher · View at Google Scholar