Improved particle swarm optimization method in inverse design problems

  • Authors:
  • Y. Volkan Pehlivanoglu

  • Affiliations:
  • Turkish Air Force Academy, Istanbul, Turkey

  • Venue:
  • IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
  • Year:
  • 2013

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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.