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Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 409478, 20 pages
Research Article

An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning

1Department of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2Graduate School of the Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100039, China
3College of Management, Shenzhen University, Shenzhen 518060, China

Received 2 April 2012; Revised 9 September 2012; Accepted 10 September 2012

Academic Editor: Elmetwally Elabbasy

Copyright © 2012 Xiaohui Yan 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 [7 citations]

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

  • Ben Niu, Hong Wang, Qiqi Duan, and Li Li, “Biomimicry of quorum sensing using bacterial lifecycle model,” BMC Bioinformatics, vol. 14, no. 8, 2013. View at Publisher · View at Google Scholar
  • Lianbo Ma, Yunlong Zhu, Dingyi Zhang, and Ben Niu, “A hybrid approach to artificial bee colony algorithm,” Neural Computing and Applications, vol. 27, no. 2, pp. 387–409, 2015. View at Publisher · View at Google Scholar
  • Lianbo Ma, Kunyuan Hu, Yunlong Zhu, and Hanning Chen, “A hybrid artificial bee colony optimizer by combining with life-cycle, Powell’s search and crossover,” Applied Mathematics and Computation, vol. 252, pp. 133–154, 2015. View at Publisher · View at Google Scholar
  • Kezong Tang, Xuan Xiao, Jun Wu, Jingyu Yang, and Limin Luo, “An improved multilevel thresholding approach based modified bacterial foraging optimization,” Applied Intelligence, 2016. View at Publisher · View at Google Scholar
  • Lianbo Ma, Xingwei Wang, Ruiyun Yu, Guangming Yang, Jie Li, and Min Huang, “Biomimicry of plant root growth using bioinspired foraging model for data clustering,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
  • Hanning Chen, Lianbo Ma, Maowei He, Xingwei Wang, Xiaodan Liang, Liling Sun, and Min Huang, “Artificial Bee Colony Optimizer Based on Bee Life-Cycle for Stationary and Dynamic Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1–20, 2016. View at Publisher · View at Google Scholar
  • Ramyachitra, and Veeralakshmi, “Bacterial Foraging Optimization for protein structure prediction using FCC & HP energy model,” Gene Reports, vol. 7, pp. 43–49, 2017. View at Publisher · View at Google Scholar