Table of Contents Author Guidelines Submit a Manuscript
Modelling and Simulation in Engineering
Volume 2011, Article ID 239743, 6 pages
Research Article

Chaotic-Search-Based Cultural Algorithm for Solving Unconstrained Optimization Problem

Jianjia He1,2 and Fuyuan Xu1,2

1Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
2Center for Supernetworks Research (China), Shanghai 200093, China

Received 16 March 2011; Revised 25 May 2011; Accepted 29 June 2011

Academic Editor: Farouk Yalaoui

Copyright © 2011 Jianjia He and Fuyuan Xu. 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 [6 citations]

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

  • Panth Parikh, and Ziad Kobti, “Comparative strategies for knowledge migration in Multi Objective Optimization Problems,” 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1–5, . View at Publisher · View at Google Scholar
  • Arash Zaeim, Mahdi Hassani Goodarzi, and Mahdi Masoumzadeh, “A new implementation of cultural algorithms based on inter-personal interaction influence,” 2015 International Conference on Information & Communication Technology and Systems (ICTS), pp. 41–48, . View at Publisher · View at Google Scholar
  • Noor H. Awad, Mostafa Z. Ali, and Rehab M. Duwairi, “Cultural Algorithm with improved local search for optimization problems,” 2013 IEEE Congress on Evolutionary Computation, CEC 2013, pp. 284–291, 2013. View at Publisher · View at Google Scholar
  • Mostafa Z. Ali, and Noor H. Awad, “A novel class of niche hybrid Cultural Algorithms for continuous engineering optimization,” Information Sciences, 2014. View at Publisher · View at Google Scholar
  • Fuli Zhang, Olga Brezhneva, and Amit Shukla, “Optimal sensor placement using chaotic monkey search algorithm,” Proceedings of the ASME Design Engineering Technical Conference, vol. 8, 2015. View at Publisher · View at Google Scholar
  • Robert G. Reynolds, Noor H. Awad, Mostafa Z. Ali, and Ponnuthurai N. Suganthan, “CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization,” Information Sciences, vol. 378, pp. 215–241, 2017. View at Publisher · View at Google Scholar