Comparison of evolutionary (genetic) algorithm and adjoint methods for multi-objective viscous airfoil optimizations

41st Aerospace Sciences Meeting and Exhibit

Volumn , Issue , 2003, Pages

  Pulliam, T H ^a   Nemec, M ^b   Holst, T ^b   Zingg, D W ^a,b  

^a NASA AMES RESEARCH CENTER   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSPACE ENGINEERING; AIRFOILS; CODES (SYMBOLS); DRAG; NAVIER STOKES EQUATIONS;

ADJOINT METHODS; AIRFOIL OPTIMIZATION; AIRFOIL SURFACES; DESIGN CONSISTENCY; DRAG MINIMIZATION; MULTI-OBJECTIVE DESIGN; NAVIER-STOKES CODE; TRANSONIC AIRFOILS;

EVOLUTIONARY ALGORITHMS;

EID: 85087595372     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2003-298     Document Type: Conference Paper

References (9)

1. Holst, T. L. and Pulliam, T. H., Aerodynamic Shape Optimization Using A Real-Number-Encoded Genetic Algorithm, AIAA 2001-2473, June, 2001.
2. Nemec, M. and Zingg, D.W., Towards Efficient Aerodynamic Shape Optimization Based on the Navier-Stokes Equations, AIAA 2001-2532, June, 2001.
3. Nemec, M. Optimal Shape Design of Aerodynamic Configurations: A Newton-Krylov Approach, University of Toronto, PhD Thesis, 2002.
4. Pueyo, A., An Efficient Newton-Krylov Method for the Euler and Navier-Stokes Equations, PhD Thesis, University of Toronto, 1998.
5. Bentley, P. J. and Wakefield, J. P., An Analysis of Multiobjective Optimization Within Genetic Algorithms, Technical Report ENGPJB96, University of Huddersfield, UK, 1996.
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7. Coello Coello, C. A. Evolutionary Multi-Objective Optimization: A Critical Review, Evolutionary Optimization, pp. 117-146, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4.
8. Pulliam, T.H., Efficient Solution Methods for The Navier-Stokes Equations, Lecture Notes for the von Kármán Institute For Fluid Dynamics Lecture Series: Numerical Techniques for Viscous Flow Computation In Turbomachinery Bladings, von Kármán Institute, Rhode-St-Genese, Belgium, 1985
9. Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publication Company, Reading Mass., 1989.