Multiobjective evolutionary computation for supersonic wing-shape optimization

Shigeru Obayashi, Daisuke Sasaki, Yukihiro Takeguchi, Naoki Hirose

Research output: Contribution to journalArticlepeer-review

87 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)182-187
Number of pages6
JournalIEEE Transactions on Evolutionary Computation
Volume4
Issue number2
DOIs
Publication statusPublished - 2000 Jul

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics

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