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Grid Enabled Optimization

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Advances in Grid Computing - EGC 2005 (EGC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3470))

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Abstract

In this paper, we present a scalable parallel framework, which employs grid computing technologies, for solving computationally expensive and intractable design problems. Using an aerodynamic airfoil design optimization problem as an example the application of the grid computing strategies is discussed.

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore

    Hee-Khiang Ng, Yew-Soon Ong & Bu-Sung Lee

  2. Institute of High Performance Computing, Singapore Science Park II, 117528, Singapore

    Terence Hung

Authors
  1. Hee-Khiang Ng
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  2. Yew-Soon Ong
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  3. Terence Hung
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  4. Bu-Sung Lee
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Editor information

Editors and Affiliations

  1. Faculty of Sciences, Section of Computational Science, University of Amsterdam, Kruislaan 403, 1098, Amsterdam, SJ, The Netherlands

    Peter M. A. Sloot

  2. Section Computational Science, University of Amsterdam, The Netherlands

    Alfons G. Hoekstra

  3. INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, 35042, Rennes Cedex, France

    Thierry Priol

  4. Zuse Institute Berlin,  

    Alexander Reinefeld

  5. Institute of Computer Science, AGH, Poland

    Marian Bubak

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© 2005 Springer-Verlag Berlin Heidelberg

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Ng, HK., Ong, YS., Hung, T., Lee, BS. (2005). Grid Enabled Optimization. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds) Advances in Grid Computing - EGC 2005. EGC 2005. Lecture Notes in Computer Science, vol 3470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508380_31

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  • DOI: https://doi.org/10.1007/11508380_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26918-2

  • Online ISBN: 978-3-540-32036-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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