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Improved Particle Swarm Optimization Method in Inverse Design Problems

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Advances in Computational Intelligence (IWANN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7902))

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Abstract

An improved particle swarm optimization algorithm is proposed and tested for two different test cases: surface fitting of a wing shape and an inverse design of an airfoil in subsonic flow. The new algorithm emphasizes the use of an indirect design prediction based on a local surrogate modeling in particle swarm optimization algorithm structure. For all the demonstration problems considered herein, remarkable reductions in the computational times have been accomplished.

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Author information

Authors and Affiliations

  1. Turkish Air Force Academy, Istanbul, Turkey

    Y. Volkan Pehlivanoglu

Authors
  1. Y. Volkan Pehlivanoglu
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Editor information

Editors and Affiliations

  1. Department of Computer Architecture and Computer Technology, University of Granada,, Periodista Daniel Saucedo Aranda s/n,, 18071, Granada, Spain

    Ignacio Rojas

  2. Department of Electronics Technology, University of Malaga, 29071, Malaga, Spain

    Gonzalo Joya

  3. Department of Electronics Engineering, Universitat Politecnica de Catalunya, 08034, Barcelona, Spain

    Joan Gabestany

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Pehlivanoglu, Y.V. (2013). Improved Particle Swarm Optimization Method in Inverse Design Problems. In: Rojas, I., Joya, G., Gabestany, J. (eds) Advances in Computational Intelligence. IWANN 2013. Lecture Notes in Computer Science, vol 7902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38679-4_21

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