Aerodynamic shape optimization of supersonic wings by adaptive range multiobjective genetic algorithms

Daisuke Sasaki, Masashi Morikawa, Shigeru Obayashi, Kazuhiro Nakahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Citations (Scopus)

Abstract

This paper describes an application of Adaptive Range Multiobjective Genetic Algorithms (ARMOGAs) to aerodynamic wing optimization. The objectives are to minimize transonic and supersonic drag coefficients, as well as the bending and twisting moments of the wings for the supersonic airplane. A total of 72 design variables are categorized to describe the wing’s planform, thickness distribution, and warp shape. ARMOGAs are an extension of MOGAs with the range adaptation. Four-objective optimization was successfully performed. Pareto solutions are compared with Pareto optimal wings obtained by the previous three-objective optimization and a wing designed by National Aerospace Laboratory (NAL).

Original languageEnglish
Title of host publicationEvolutionary Multi-Criterion Optimization - 1st International Conference, EMO 2001, Proceedings
EditorsEckart Zitzler, Lothar Thiele, Kalyanmoy Deb, Carlos A. Coello Coello, David Corne
PublisherSpringer Verlag
Pages639-652
Number of pages14
ISBN (Electronic)9783540417453
DOIs
Publication statusPublished - 2001
Event1st International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001 - Zurich, Switzerland
Duration: 2001 Mar 72001 Mar 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1993
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001
CountrySwitzerland
CityZurich
Period01/3/701/3/9

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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