About this Journal Submit a Manuscript Table of Contents
Applied Computational Intelligence and Soft Computing
Volume 2013 (2013), Article ID 756719, 7 pages
http://dx.doi.org/10.1155/2013/756719
Research Article

Parallel Swarms Oriented Particle Swarm Optimization

Department of Information and Communication Sciences, Faculty of Science & Technology, Sophia University, 7-1 Kioicho, Chiyoda-ku, Tokyo 102-8554, Japan

Received 29 August 2013; Accepted 9 September 2013

Academic Editor: Baoding Liu

Copyright © 2013 Tad Gonsalves and Akira Egashira. 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.

Linked References

  1. J. Holland, Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, Mass, USA, 1992.
  2. R. Eberhart and J. Kennedy, “New optimizer using particle swarm theory,” in Proceedings of the 6th International Symposium on Micro Machine and Human Science, pp. 39–43, October 1995. View at Scopus
  3. R. C. Eberhart and Y. Shi, “Comparing inertia weights and constriction factors in particle swarm optimization,” in Proceedings of the Congress on Evolutionary Computation (CEC '00), pp. 84–88, July 2000. View at Scopus
  4. R. C. Eberhart and Y. Shi, “Tracking and optimizing dynamic systems with particle swarms,” in Proceedings of the Congress on Evolutionary Computation (CEC '01), pp. 94–100, San Francisco, Cailf, USA, May 2001. View at Scopus
  5. R. C. Eberhart and Y. Shi, “Particle swarm optimization: developments, applications and resources,” in Proceedings of the Congress on Evolutionary Computation (CEC '01), pp. 81–86, May 2001. View at Scopus
  6. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks, vol. 1–6, pp. 1942–1948, December 1995. View at Scopus
  7. J. Kennedy and R. Eberhart, “New optimizer using particle swarm theory,” in Proceedings of the 6th International Symposium on Micro Machine and Human Science, pp. 39–43, October 1995. View at Scopus
  8. J. Kennedy and R. C. Eberhart, “Discrete binary version of the particle swarm algorithm,” in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pp. 4104–4108, October 1997. View at Scopus
  9. J. Kennedy, R. C. Eberhart, and Y. Shi, Swarm Intelligence, Morgan Kaufmann, 2001.
  10. M. R. Alrashidi and M. E. El-Hawary, “A survey of particle swarm optimization applications in power system operations,” Electric Power Components and Systems, vol. 34, no. 12, pp. 1349–1357, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. R. V. Kulkarni and G. K. Venayagamoorthy, “Particle swarm optimization in wireless-sensor networks: a brief survey,” IEEE Transactions on Systems, Man and Cybernetics Part C, vol. 41, no. 2, pp. 262–267, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. L. Wang, J. Shen, and J. Yong, “A survey on bio-inspired algorithms for web service composition,” in Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD '12), pp. 569–574, 2012.
  13. F. van den Bergh and A. P. Engelbrecht, “A cooperative approach to participle swam optimization,” IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 225–239, 2004. View at Publisher · View at Google Scholar · View at Scopus
  14. J. J. Liang, A. K. Qin, P. N. Suganthan, and S. Baskar, “Comprehensive learning particle swarm optimizer for global optimization of multimodal functions,” IEEE Transactions on Evolutionary Computation, vol. 10, no. 3, pp. 281–295, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. G. M. Chen, J. Y. Jia, and Q. Han, “Study on the strategy of decreasing inertia weight in particle swarm optimization algorithm,” Journal of Xi'an Jiaotong University, vol. 40, pp. 1039–1042, 2006.
  16. Z.-S. Lu and Z.-R. Hou, “Particle swarm optimization with adaptive mutation,” Acta Electronica Sinica, vol. 32, no. 3, pp. 416–420, 2004. View at Scopus
  17. F. Pan, X. Tu, J. Chen, and J. Fu, “A harmonious particle swarm optimizer—HPSO,” Computer Engineering, vol. 31, no. 1, pp. 169–171, 2005. View at Scopus
  18. S. Pasupuleti and R. Battiti, “The gregarious particle swarm optimizer—G-PSO,” in Proceedings of the 8th Annual Genetic and Evolutionary Computation Conference (CEC '06), pp. 67–74, July 2006. View at Scopus
  19. A. Ratnaweera, S. K. Halgamuge, and H. C. Watson, “Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients,” IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 240–255, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. J. F. Schutte and A. A. Groenwold, “A study of global optimization using particle swarms,” Journal of Global Optimization, vol. 31, no. 1, pp. 93–108, 2005. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. Shi and R. C. Eberhart, “Fuzzy adaptive particle swarm optimization,” in Proceedings of the Congress on Evolutionary Computation, pp. 101–106, Seoul, Republic of Korea, May 2001. View at Scopus
  22. K. Tatsumi, T. Yukami, and T. Tanino, “Restarting multi-type particle swarm optimization using an adaptive selection of particle type,” in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC '09), pp. 923–928, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. Y.-L. Zheng, L.-H. Ma, L.-Y. Zhang, and J.-X. Qian, “On the convergence analysis and parameter selection in particle swarm optimization,” in Proceedings of the International Conference on Machine Learning and Cybernetics, pp. 1802–1807, Zhejiang University, Hangzhou, China, November 2003. View at Scopus
  24. L. P. Zhang, H. J. Yu, D. Z. Chen, and S. X. Hu, “Analysis and improvement of particle swarm optimization algorithm,” Information and Control, vol. 33, pp. 513–517, 2004.
  25. X. Zhang, Y. Du, G. Qin, and Z. Qin, “Adaptive particle swarm algorithm with dynamically changing inertia weight,” Journal of Xi'an Jiaotong University, vol. 39, no. 10, pp. 1039–1042, 2005. View at Scopus
  26. T. M. Blackwell and J. Branke, “Multi-Swarm optimization in dynamic environment,” in Lecture Notes in Computer Science, vol. 3005, pp. 489–500, Springer, Berlin, Germany, 2004.
  27. T. Blackwell and J. Branke, “Multiswarms, exclusion, and anti-convergence in dynamic environments,” IEEE Transactions on Evolutionary Computation, vol. 10, no. 4, pp. 459–472, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. K. Chen, T. Li, and T. Cao, “Tribe-PSO: a novel global optimization algorithm and its application in molecular docking,” Chemometrics and Intelligent Laboratory Systems, vol. 82, no. 1-2, pp. 248–259, 2006. View at Publisher · View at Google Scholar · View at Scopus
  29. B. Niu, Y. Zhu, X. He, and H. Wu, “MCPSO: a multi-swarm cooperative particle swarm optimizer,” Applied Mathematics and Computation, vol. 185, no. 2, pp. 1050–1062, 2007. View at Publisher · View at Google Scholar · View at Scopus
  30. L.-Y. Wu, H. Sun, and M. Bai, “Particle swarm optimization algorithm of two sub-swarms exchange based on different evolvement model,” Journal of Nanchang Institute of Technology, vol. 4, pp. 1–4, 2008.
  31. Y. Shi and R. C. Eberhart, “Empirical study of particle swarm optimization,” in Proceedings of the Congress on Evolutionary Computation (CEC '99), pp. 1945–1950, IEEE Service Center, Piscataway, NJ, USA, 1999.
  32. J. Jie, W. Wang, C. Liu, and B. Hou, “Multi-swarm particle swarm optimization based on mixed search behavior,” in Proceedings of the 5th IEEE Conference on Industrial Electronics and Applications (ICIEA '10), pp. 605–610, June 2010. View at Publisher · View at Google Scholar · View at Scopus
  33. X. Yang, J. Yuan, J. Yuan, and H. Mao, “A modified particle swarm optimizer with dynamic adaptation,” Applied Mathematics and Computation, vol. 189, no. 2, pp. 1205–1213, 2007. View at Publisher · View at Google Scholar · View at Scopus
  34. M. Clerc, Particle Swarm Optimization, ISTE Publishing Company, London, UK, 2006.