Inverse design of airfoils based on a novel formulation of the ant colony optimization method

Georgios E. Fainekos, Kyriakos C. Giannakoglou

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

In the past, Ant Colony Optimization (ACO) methods were used to solve combinatorial optimization problems such as the well-known Traveling Salesman Problem. The present article introduces an extension of the ACO method that is capable of solving optimization problems involving free variables with continuous search spaces. To this purpose, various notions, which are implicit in the ACO techniques, have been modified in order to account for design parameters that may vary continuously between lower and upper user-defined bounds. The intention was to create a tool for a particular class of engineering problems, namely the inverse design of isolated or turbomachinery blade airfoils and to demonstrate its effectiveness. Computational Fluid Dynamics codes are used for the evaluation of candidate solutions.

Original languageEnglish (US)
Pages (from-to)21-38
Number of pages18
JournalInverse Problems in Engineering
Volume11
Issue number1
DOIs
StatePublished - Feb 1 2003
Externally publishedYes

    Fingerprint

Keywords

  • Ant colony optimization
  • Inverse design of aerodynamic shapes
  • Optimization algorithms

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Applied Mathematics

Cite this