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

Georgios Fainekos, Kyriakos C. Giannakoglou

Research output: Contribution to journalArticle

23 Citations (Scopus)

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 2003
Externally publishedYes

Fingerprint

Ant colony optimization
Airfoil
Airfoils
Optimization Methods
Formulation
Turbomachinery
Traveling salesman problem
Combinatorial optimization
Travelling salesman problems
Combinatorial Optimization Problem
Blade
Parameter Design
Computational Fluid Dynamics
Search Space
Optimization Techniques
Turbomachine blades
Computational fluid dynamics
Vary
Optimization Problem
Engineering

Keywords

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

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Applied Mathematics

Cite this

Inverse design of airfoils based on a novel formulation of the ant colony optimization method. / Fainekos, Georgios; Giannakoglou, Kyriakos C.

In: Inverse Problems in Engineering, Vol. 11, No. 1, 02.2003, p. 21-38.

Research output: Contribution to journalArticle

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