Skip to main content
SpringerLink
Log in

Particle Swarm Optimization with SIMD-Oriented Fast Mersenne Twister on the Cell Broadband Engine

  • Conference paper
Advances in Neuro-Information Processing (ICONIP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5507))

Included in the following conference series:

Abstract

We introduce a processing performance of Particle Swarm Optimization with SIDM-oriented Fast Mersenne Twister on the Cell Broadband Engine. Extreme-high processing performance is demanded for solving very complex optimization problem in a small amount of time. In this research, we verified the effectiveness of employing SIMD-oriented Fast Mersenne Twister on the Cell Broadband Engine for the processing of Particle Swarm Optimization by numerical simulations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: IEEE the International Conference on Neural Networks, pp. 1942–1948 (1995)

    Google Scholar 

  2. Clerc, M.: Particle Swarm Optimization. ISTE USA, USA (2006)

    Google Scholar 

  3. Cai, X., Zhang, N., Venayagamoorthy, G.K., Wunsch, D.C.: Time series prediction with recurrent neural networks trained by a hybrid PSO–EA algorithm. Neurocomputing 70, 2342–2353 (2007)

    Article  Google Scholar 

  4. DeJong, K.A.: An analysis of the behavior of a class of genetic adaptive systems. PhD thesis, University of Michigan (1975)

    Google Scholar 

  5. Saito, M., Matsumoto, M.: SIMD-oriented Fast Mersenne Twister: a128-bit Pseudorandom Number Generator. In: Keller, A., Heinrich, S., Niederreiter, H. (eds.) Monte Carlo and Quasi-Monte Carl Methods 2006, pp. 607–622. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. SIMD-oriented Fast Mersenne Twister (SFMT), http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/SFMT/index-jp.html

  7. Johns, C.R., Brokenshire, D.A.: Introduction to the Cell Broadband Engine Architecture. IBM Journal of Research and Development 51, 503–520 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu-ku, Kitakyushu, 808-0196, Japan

    Jun Igarashi & Satoshi Sonoh

  2. Graduate School of Science and Engineering, Yamaguchi University, 1677-1 Yoshida, Yamaguchi-shi Yamaguchi, 753-8511, Japan

    Takanori Koga

Authors
  1. Jun Igarashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Satoshi Sonoh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Takanori Koga
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Network Design and Research Center, Kyushu Institute of Technology,, 680-4, Kawazu, Iizuka,, 820-8502, Fukuoka, Japan

    Mario Köppen

  2. Knowledge Engineering and Discovery Research Institute (KEDRI), School of Computing and Mathematical Sciences, Auckland University of Technology, 350 Queen Street, 10110, Auckland, New Zealand

    Nikola Kasabov

  3. Department of Electrical and Computer Engineering, Robotics Laboratory, Auckland University of Technology, 38 Princes Street,, 1142, Auckland, New Zealand

    George Coghill

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Igarashi, J., Sonoh, S., Koga, T. (2009). Particle Swarm Optimization with SIMD-Oriented Fast Mersenne Twister on the Cell Broadband Engine. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03040-6_129

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03040-6_129

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03039-0

  • Online ISBN: 978-3-642-03040-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation