IMPROVED PARTICLE SWARM OPTIMIZATION METHOD DIRECTED BY INDIRECT SURROGATE MODELING

  • Yasin Volkan Pehlivanoğlu
  • Serdar Ay
  • Faruk Gül
Keywords: PSO, Surrogate Modeling, Inverse Design

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 as a part of update equations 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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Published
2015-01-26
How to Cite
[1]
Y. Pehlivanoğlu, S. Ay, and F. Gül, “IMPROVED PARTICLE SWARM OPTIMIZATION METHOD DIRECTED BY INDIRECT SURROGATE MODELING”, JAST, vol. 8, no. 1, pp. 1-10, Jan. 2015.
Section
Articles