DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김수환 | ko |
dc.contributor.author | 권장혁 | ko |
dc.date.accessioned | 2009-07-07T10:05:52Z | - |
dc.date.available | 2009-07-07T10:05:52Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2001-09 | - |
dc.identifier.citation | 한국전산유체공학회지, v.6, no.3, pp.10 - 18 | - |
dc.identifier.issn | 1598-6071 | - |
dc.identifier.uri | http://hdl.handle.net/10203/10004 | - |
dc.description.abstract | Genetic Algorithm(GA) is applied to aerodynamic shape optimization and demonstrated its merits in global searching ability and the independency of differentiability. However, applications of GA are limited due to slow convergence rate, premature termination, and high computing costs. The present aerodynamic designs such as wing shape optimizations using GA have seldom been applied because of high computing costs. This paper has two objects; improvement of the efficiency of GA and application of GA into aerodynamic shape optimization for 2D and 3D wings. The study indicates that GA can be applied to aerodynamic design and its performance is comparable to traditional design methods. | - |
dc.description.sponsorship | 슈퍼 컴퓨팅 센터의 전략과제로 지원을 받아 수행된 연구의 결과 | en |
dc.language | Korean | - |
dc.language.iso | ko | en |
dc.publisher | 한국전산유체공학회 | - |
dc.title | 유전 알고리즘을 이용한 공력 형상 최적화 연구 | - |
dc.title.alternative | Study of Aerodynamic Design Optimization Using Genetic Algorithm | - |
dc.type | Article | - |
dc.subject.alternative | GA | en |
dc.subject.alternative | Aerodynamic Design Optimization | en |
dc.subject.alternative | Aerodynamic Optimization | en |
dc.subject.alternative | Shape Optimization | en |
dc.type.rims | ART | - |
dc.citation.volume | 6 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 10 | - |
dc.citation.endingpage | 18 | - |
dc.citation.publicationname | 한국전산유체공학회지 | - |
dc.contributor.localauthor | 권장혁 | - |
dc.contributor.nonIdAuthor | 김수환 | - |
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