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References (32)
-
10.1108/00022660410536050
-
I. De Falco, A.D. Cioppa, A. Lazzetta, E. Tarantino
M ijn mutation operator for airfoil design optimisation -
R. Löhner (1987)
Finite elements in CFD: What lies aheadInternational Journal for Numerical Methods in Engineering, 24
-
E. Vatandaş, İ. Özkol, M.O. Kaya
Implementation of the dynamic mesh methods on genetically obtained mesh structures for 3‐D geometries -
D. Goldberg (1988)
Genetic Algorithms in Search Optimization and Machine Learning -
J. Batina (1991)
UNSTEADY EULER ALGORITHM WITH UNSTRUCTURED DYNAMIC MESH FOR COMPLEX – AIRCRAFT AERODYNAMIC ANALYSISAIAA Journal, 29
-
D. Quagliarella, A. Vicini
Designing high‐lift airfoils using genetic algorithms -
J. Edwards, James Thomas (1987)
Computational methods for unsteady transonic flows -
10.2514/6.1994-1896
-
M. Klein, E. Sobieczky
Sensivity of aerodynamic optimization to parametrized target functions -
A. Vicini, D. Quagliarella (1998)
Airfoil and wing design through hybrid optimization strategies, 37
-
H. Kim, O. Rho (1998)
Aerodynamic Design of Transonic Wings Using the Target Pressure Optimization ApproachJournal of Aircraft, 35
-
N. Foster, G. Dulikravich (1997)
Three-Dimensional Aerodynamic Shape Optimization Using Genetic and Gradient Search AlgorithmsJournal of Spacecraft and Rockets, 34
-
10.2514/6.1995-1649
-
R. Löhner, K. Morgan (1987)
An unstructured multigrid method for elliptic problemsInternational Journal for Numerical Methods in Engineering, 24
-
S. Obayashi, Y. Yamaguchi, Takashi Nakamura (1997)
Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing PlanformJournal of Aircraft, 34
-
10.1016/B978-008043951-8/50043-6
-
Brian Jones, William Crossleyf, A. Lyrintzis (1998)
AERODYNAMIC AND AERO ACOUSTIC OPTIMIZATION OF AIRFOILS VIA A PARALLEL GENETIC ALGORITHM -
I. Falco, R. Balio, A. Cioppa, E. Tarantino (1996)
Breeder genetic algorithms for airfoil design optimisationProceedings of IEEE International Conference on Evolutionary Computation
-
Brian Jones, W. Crossley, A. Lyrintzis (2000)
Aerodynamic and Aeroacoustic Optimization of Rotorcraft Airfoils via a Parallel Genetic AlgorithmJournal of Aircraft, 37
-
D. Quagliarella, A. Cioppa (1994)
Genetic algorithms applied to the aerodynamic design of transonic airfoilsJournal of Aircraft, 32
-
E. Yılmaz
A three dimensional parallel and adaptive Euler flow solver for unstructured grids”, -
10.2514/2.764
-
K. Morgan, J. Peraire, R. Thareja, J. Stewart (1987)
An adaptive finite element scheme for the Euler and Navier-Stokes equations -
10.1007/978-1-4471-0427-8_23
-
A. Hacıoğlu, İ. Özkol
Modified BLX‐ α : double directional alpha method -
K. Morgan, J. Peraire (1987)
Finite element methods for compressible flows -
J. Peraire, Joaquin Peiro, L. Formaggia, K. Morgan, O. Zienkiewicz (1988)
Finite element Euler computations in three dimensionsInternational Journal for Numerical Methods in Engineering, 26
-
J. Batina (1989)
Unsteady Euler airfoil solutions using unstructured dynamic meshesAIAA Journal, 28
-
S. Obayashi, K. Nakahashi, A. Oyama, Nobuhisa Yoshino (1998)
Design Optimization of Supersonic Wings Using Evolutionary Algorithms -
S. Obayashi, S. Takanashi (1995)
Genetic optimization of target pressure distributions for inverse design methodsAIAA Journal, 34
-
A. Oyama, S. Obayashi, K. Nakahashi, N. Hirose
Coding by Taguchi method for evolutionary algorithms applied to aerodynamic optimization
- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
- ISSN
- 0002-2667
- DOI
- 10.1108/00022660410536050
- Publisher site
- See Article on Publisher Site
Abstract
In this study, dynamic mesh method is implemented on a real coded genetic algorithm to demonstrate gain in computational time as well as in higher performance for optimized parameters. Since the differences developed at each step in geometries of new members are not significant, therefore, it is possible to use dynamic mesh methods for new members. In this work, because the population members are obtained by modifying the pervious ones, each member is considered as one step of geometry‐change of a deforming body, for examples, a wing inflating, deflating or cambering.
Journal
Aircraft Engineering and Aerospace Technology – Emerald Publishing
Published: Jun 1, 2004
Keywords: Programming and algorithm theory; Flight dynamics; Meshes; Optimization techniques