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

Daisuke Sasaki; Masashi Morikawa; Shigeru Obayashi; Kazuhiro Nakahashi

doi:10.1007/3-540-44719-9_45

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

Daisuke Sasaki, Masashi Morikawa, Shigeru Obayashi, Kazuhiro Nakahashi

Creative Flow Research Division

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Evolutionary Multi-Criterion Optimization - 1st International Conference, EMO 2001, Proceedings
Editors	Eckart Zitzler, Lothar Thiele, Kalyanmoy Deb, Carlos A. Coello Coello, David Corne
Publisher	Springer Verlag
Pages	639-652
Number of pages	14
ISBN (Electronic)	9783540417453
DOIs	https://doi.org/10.1007/3-540-44719-9_45
Publication status	Published - 2001
Event	1st International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001 - Zurich, Switzerland Duration: 2001 Mar 7 → 2001 Mar 9

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1993
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001
Country	Switzerland
City	Zurich
Period	01/3/7 → 01/3/9

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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Sasaki, D., Morikawa, M., Obayashi, S., & Nakahashi, K. (2001). Aerodynamic shape optimization of supersonic wings by adaptive range multiobjective genetic algorithms. In E. Zitzler, L. Thiele, K. Deb, C. A. C. Coello, & D. Corne (Eds.), Evolutionary Multi-Criterion Optimization - 1st International Conference, EMO 2001, Proceedings (pp. 639-652). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1993). Springer Verlag. https://doi.org/10.1007/3-540-44719-9_45

Aerodynamic shape optimization of supersonic wings by adaptive range multiobjective genetic algorithms. / Sasaki, Daisuke; Morikawa, Masashi; Obayashi, Shigeru; Nakahashi, Kazuhiro.

Evolutionary Multi-Criterion Optimization - 1st International Conference, EMO 2001, Proceedings. ed. / Eckart Zitzler; Lothar Thiele; Kalyanmoy Deb; Carlos A. Coello Coello; David Corne. Springer Verlag, 2001. p. 639-652 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1993).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sasaki, D, Morikawa, M, Obayashi, S & Nakahashi, K 2001, Aerodynamic shape optimization of supersonic wings by adaptive range multiobjective genetic algorithms. in E Zitzler, L Thiele, K Deb, CAC Coello & D Corne (eds), Evolutionary Multi-Criterion Optimization - 1st International Conference, EMO 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1993, Springer Verlag, pp. 639-652, 1st International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001, Zurich, Switzerland, 01/3/7. https://doi.org/10.1007/3-540-44719-9_45

Sasaki D, Morikawa M, Obayashi S, Nakahashi K. Aerodynamic shape optimization of supersonic wings by adaptive range multiobjective genetic algorithms. In Zitzler E, Thiele L, Deb K, Coello CAC, Corne D, editors, Evolutionary Multi-Criterion Optimization - 1st International Conference, EMO 2001, Proceedings. Springer Verlag. 2001. p. 639-652. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-44719-9_45

Sasaki, Daisuke ; Morikawa, Masashi ; Obayashi, Shigeru ; Nakahashi, Kazuhiro. / Aerodynamic shape optimization of supersonic wings by adaptive range multiobjective genetic algorithms. Evolutionary Multi-Criterion Optimization - 1st International Conference, EMO 2001, Proceedings. editor / Eckart Zitzler ; Lothar Thiele ; Kalyanmoy Deb ; Carlos A. Coello Coello ; David Corne. Springer Verlag, 2001. pp. 639-652 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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{\textquoteright}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).",

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

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