Multiobjective genetic algorithm applied to aerodynamic design ofcascade airfoils
Obayashi, S.
Tsukahara, T.
Nakamura, T.
Dept. of Aeronomy & Space Eng., Tohoku Univ., Sendai;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Feb 2000
Volume: 47,
Issue: 1
On page(s): 211-216
ISSN: 0278-0046
References Cited: 15
CODEN: ITIED6
INSPEC Accession Number: 6507850
Digital Object Identifier: 10.1109/41.824144
Current Version Published: 2002-08-06
Abstract
A multiobjective genetic algorithm (GA) based on Fonseca-Fleming's
Pareto-based ranking and fitness-sharing techniques has been applied to
aerodynamic shape optimization of cascade airfoil design. Airfoil
performance is evaluated by a Navier-Stokes code. Evaluation of GA
population is parallelized on the Numerical Wind Tunnel, a parallel
vector machine. The present multiobjective design seeks high pressure
rise, high flow turning angle, and low total pressure loss at a low Mach
number. Pareto solutions that perform better than existing control
diffusion airfoils were obtained
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