Aerodynamic inverse optimization with genetic algorithms

研究成果: Paper査読

7 被引用数 (Scopus)

抄録

A multiobjective Genetic Algorithm based on Fonseca-Fleming's Pareto ranking method has been applied to optimize the three-dimensional target pressures for the aerodynamic inverse design of wing shape. The optimization problem was formulated to minimize the induced drag for wings as well as to minimize the viscous drag for airfoil sections. Performances of both the simple Genetic Algorithm and Vector Evaluated Genetic Algorithm were found unsatisfactory to the present optimization problem. The present design procedure was successfully applied to transonic wing design.

本文言語English
ページ421-425
ページ数5
出版ステータスPublished - 1996 12 1
イベントProceedings of the IEEE International Conference on Industrial Technology - Shanghai, China
継続期間: 1994 12 51994 12 9

Other

OtherProceedings of the IEEE International Conference on Industrial Technology
CityShanghai, China
Period94/12/594/12/9

ASJC Scopus subject areas

  • ソフトウェア
  • 産業および生産工学
  • 電子材料、光学材料、および磁性材料

フィンガープリント

「Aerodynamic inverse optimization with genetic algorithms」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル