Multiobjective evolutionary computation for supersonic wing-shape optimization

Shigeru Obayashi, Daisuke Sasaki, Yukihiro Takeguchi, Naoki Hirose

研究成果: Article査読

92 被引用数 (Scopus)

抄録

This paper discusses the design optimization of a wing for supersonic transport (SST) using a multiple-objective genetic algorithm (MOGA). Three objective functions are used to minimize the drag for supersonic cruise, the drag for transonic cruise, and the bending moment at the wing root for supersonic cruise. The wing shape is defined by 66 design variables. A Euler flow code is used to evaluate supersonic performance, and a potential flow code is used to evaluate transonic performance. To reduce the total computational time, flow calculations are parallelized on an NEC SX-4 computer using 32 processing elements. The detailed analysis of the resulting Pareto front suggests a renewed interest in the arrow wing planform for the supersonic wing.

本文言語English
ページ(範囲)182-187
ページ数6
ジャーナルIEEE Transactions on Evolutionary Computation
4
2
DOI
出版ステータスPublished - 2000 7月

ASJC Scopus subject areas

  • ソフトウェア
  • 理論的コンピュータサイエンス
  • 計算理論と計算数学

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