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The Scientific World Journal
Volume 2014, Article ID 123019, 17 pages
Research Article

A Synchronous-Asynchronous Particle Swarm Optimisation Algorithm

1Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
2Multimedia University, Jalan Ayer Keroh Lama, 75450 Bukit Beruang, Melaka, Malaysia
3Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

Received 23 April 2014; Accepted 20 June 2014; Published 10 July 2014

Academic Editor: T. O. Ting

Copyright © 2014 Nor Azlina Ab Aziz 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 [6 citations]

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

  • Kenneth Holladay, Keith Pickens, and Gregory Miller, “The effect of evaluation time variance on asynchronous Particle Swarm Optimization,” 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 161–168, . View at Publisher · View at Google Scholar
  • Yanxia Sun, and Zenghui Wang, “Asynchronous and stochastic dimension updating PSO and its application to parameter estimation for frequency modulated (FM) sound waves,” 2015 IEEE International Conference on Progress in Informatics and Computing (PIC), pp. 583–587, . View at Publisher · View at Google Scholar
  • Nor Azlina Ab. Aziz, Marizan Mubin, Zuwairie Ibrahim, and Sophan Wahyudi Nawawi, “Statistical Analysis for Swarm Intelligence — Simplified,” International Journal of Future Computer and Communication, vol. 4, no. 3, pp. 193–197, 2015. View at Publisher · View at Google Scholar
  • Fernandes, Merelo, and Rosa, “An asynchronous and steady state update strategy for the particle swarm optimization algorithm,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9921, pp. 167–177, 2016. View at Publisher · View at Google Scholar
  • Sani Abba, and Jeong-A Lee, “Bio-inspired self-aware fault-tolerant routing protocol for network-on-chip architectures using Particle Swarm Optimization,” Microprocessors and Microsystems, vol. 51, pp. 1339–1351, 2017. View at Publisher · View at Google Scholar
  • Daniel Zaldívar, Bernardo Morales, Alma Rodríguez, Arturo Valdivia-G, Erik Cuevas, and Marco Pérez-Cisneros, “A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior,” Biosystems, 2018. View at Publisher · View at Google Scholar