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Multi-objective optimization design of airfoil and wing

Zhu, Ziqiang; Fu, Hongyan; Yu, Rixin LU and Liu, Jie (2004) In Science in China, Series E: Technological Sciences 47(1). p.15-25
Abstract

To extend available monoobjective optimization methods to multiobjective and multidisciplinary optimization, the construction of a suitable resultant objective function(in deterministic method-DM) or a fitness function(in genetic algorithm-GA) is important. An objective function combination method (OFCM) of constructing such a function for constrained optimization problems is suggested. How to use both deterministic and genetic algorithms to biobjective and bidisciplinary optimal design of high performance airfoils and wings is discussed. Numerical results in both 2D (airfoil) and 3D (wing) cases show that the present method can be used to optimaize different kinds of initial airfoils and wings. The performance of optimized shape is... (More)

To extend available monoobjective optimization methods to multiobjective and multidisciplinary optimization, the construction of a suitable resultant objective function(in deterministic method-DM) or a fitness function(in genetic algorithm-GA) is important. An objective function combination method (OFCM) of constructing such a function for constrained optimization problems is suggested. How to use both deterministic and genetic algorithms to biobjective and bidisciplinary optimal design of high performance airfoils and wings is discussed. Numerical results in both 2D (airfoil) and 3D (wing) cases show that the present method can be used to optimaize different kinds of initial airfoils and wings. The performance of optimized shape is improved significantly. The method is successful and effective. Copyright by Science in China Press 2004.

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Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Deterministic optimization method, Genetic algorithm, Multiobjective optimization
in
Science in China, Series E: Technological Sciences
volume
47
issue
1
pages
11 pages
publisher
Science in China Press
external identifiers
  • scopus:33746226158
ISSN
1006-9321
DOI
10.1360/02ye0350
language
English
LU publication?
no
id
b9ef7fc5-71c8-4a9d-b170-50e7b2ec7dc6
date added to LUP
2019-09-13 13:05:20
date last changed
2019-11-05 05:25:57
@article{b9ef7fc5-71c8-4a9d-b170-50e7b2ec7dc6,
  abstract     = {<p>To extend available monoobjective optimization methods to multiobjective and multidisciplinary optimization, the construction of a suitable resultant objective function(in deterministic method-DM) or a fitness function(in genetic algorithm-GA) is important. An objective function combination method (OFCM) of constructing such a function for constrained optimization problems is suggested. How to use both deterministic and genetic algorithms to biobjective and bidisciplinary optimal design of high performance airfoils and wings is discussed. Numerical results in both 2D (airfoil) and 3D (wing) cases show that the present method can be used to optimaize different kinds of initial airfoils and wings. The performance of optimized shape is improved significantly. The method is successful and effective. Copyright by Science in China Press 2004.</p>},
  author       = {Zhu, Ziqiang and Fu, Hongyan and Yu, Rixin and Liu, Jie},
  issn         = {1006-9321},
  keyword      = {Deterministic optimization method,Genetic algorithm,Multiobjective optimization},
  language     = {eng},
  month        = {02},
  number       = {1},
  pages        = {15--25},
  publisher    = {Science in China Press},
  series       = {Science in China, Series E: Technological Sciences},
  title        = {Multi-objective optimization design of airfoil and wing},
  url          = {http://dx.doi.org/10.1360/02ye0350},
  volume       = {47},
  year         = {2004},
}