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The Scientific World Journal
Volume 2015, Article ID 396189, 11 pages
Research Article

New Enhanced Artificial Bee Colony (JA-ABC5) Algorithm with Application for Reactive Power Optimization

1School of Electrical & Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia
2College of Engineering, King Saud University, Muzahmyiah Campus, Riyadh 11451, Saudi Arabia

Received 24 June 2014; Accepted 6 October 2014

Academic Editor: Ahmad T. Azar

Copyright © 2015 Noorazliza Sulaiman 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 [3 citations]

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

  • Enrico Ampellio, and Luca Vassio, “A hybrid swarm-based algorithm for single-objective optimization problems involving high-cost analyses,” Swarm Intelligence, 2016. View at Publisher · View at Google Scholar
  • Noorazliza Sulaiman, Junita Mohamad-Saleh, and Abdul Ghani Abro, “A hybrid algorithm of ABC variant and enhanced EGS local search technique for enhanced optimization performance,” Engineering Applications of Artificial Intelligence, vol. 74, pp. 10–22, 2018. View at Publisher · View at Google Scholar
  • Imran Rahman, and Junita Mohamad-Saleh, “Hybrid Bio-Inspired Computational Intelligence Techniques for Solving Power System Optimization Problems: A Comprehensive Survey,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar