Multi-objective optimization design of airfoil and wing
(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.
(Less)
- author
- Zhu, Ziqiang ; Fu, Hongyan ; Yu, Rixin LU and Liu, Jie
- publishing date
- 2004-02-01
- 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
- 2022-02-01 00:36:01
@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}},
keywords = {{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}},
doi = {{10.1360/02ye0350}},
volume = {{47}},
year = {{2004}},
}