Transonic wing shape optimization based on evolutionary algorithms

Shigeru Obayashi; Akira Oyama; Takashi Nakamura

doi:10.1007/3-540-39999-2_15

Transonic wing shape optimization based on evolutionary algorithms

Shigeru Obayashi, Akira Oyama, Takashi Nakamura

Creative Flow Research Division

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

4 Citations (Scopus)

Abstract

A practical three-dimensional shape optimization for aerodynamic design of a transonic wing has been performed using Evolutionary Algorithms (EAs). Because EAs coupled with aerodynamic function evaluations require enormous computational time, Numerical Wind Tunnel (NWT) located at National Aerospace Laboratory in Japan has been utilized based on the simple master-slave concept. Parallel processing makes EAs a very promising approach for practical aerodynamic design.

Original language	English
Title of host publication	High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings
Editors	Mateo Valero, Kazuki Joe, Masaru Kitsuregawa, Hidehiko Tanaka
Publisher	Springer Verlag
Pages	172-181
Number of pages	10
ISBN (Print)	9783540411284
DOIs	https://doi.org/10.1007/3-540-39999-2_15
Publication status	Published - 2000
Event	3rd International Symposium on High Performance Computing, ISHPC 2000 - Tokyo, Japan Duration: 2000 Oct 16 → 2000 Oct 18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1940
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Symposium on High Performance Computing, ISHPC 2000
Country/Territory	Japan
City	Tokyo
Period	00/10/16 → 00/10/18

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-39999-2_15

Cite this

Obayashi, S., Oyama, A., & Nakamura, T. (2000). Transonic wing shape optimization based on evolutionary algorithms. In M. Valero, K. Joe, M. Kitsuregawa, & H. Tanaka (Eds.), High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings (pp. 172-181). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1940). Springer Verlag. https://doi.org/10.1007/3-540-39999-2_15

Transonic wing shape optimization based on evolutionary algorithms. / Obayashi, Shigeru; Oyama, Akira; Nakamura, Takashi.
High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings. ed. / Mateo Valero; Kazuki Joe; Masaru Kitsuregawa; Hidehiko Tanaka. Springer Verlag, 2000. p. 172-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1940).

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

Obayashi, S, Oyama, A & Nakamura, T 2000, Transonic wing shape optimization based on evolutionary algorithms. in M Valero, K Joe, M Kitsuregawa & H Tanaka (eds), High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1940, Springer Verlag, pp. 172-181, 3rd International Symposium on High Performance Computing, ISHPC 2000, Tokyo, Japan, 00/10/16. https://doi.org/10.1007/3-540-39999-2_15

Obayashi S, Oyama A, Nakamura T. Transonic wing shape optimization based on evolutionary algorithms. In Valero M, Joe K, Kitsuregawa M, Tanaka H, editors, High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings. Springer Verlag. 2000. p. 172-181. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-39999-2_15

Obayashi, Shigeru ; Oyama, Akira ; Nakamura, Takashi. / Transonic wing shape optimization based on evolutionary algorithms. High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings. editor / Mateo Valero ; Kazuki Joe ; Masaru Kitsuregawa ; Hidehiko Tanaka. Springer Verlag, 2000. pp. 172-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0e0fc8f0c9164cfcba5c1a10db33ecdc,

title = "Transonic wing shape optimization based on evolutionary algorithms",

abstract = "A practical three-dimensional shape optimization for aerodynamic design of a transonic wing has been performed using Evolutionary Algorithms (EAs). Because EAs coupled with aerodynamic function evaluations require enormous computational time, Numerical Wind Tunnel (NWT) located at National Aerospace Laboratory in Japan has been utilized based on the simple master-slave concept. Parallel processing makes EAs a very promising approach for practical aerodynamic design.",

author = "Shigeru Obayashi and Akira Oyama and Takashi Nakamura",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 3rd International Symposium on High Performance Computing, ISHPC 2000 ; Conference date: 16-10-2000 Through 18-10-2000",

year = "2000",

doi = "10.1007/3-540-39999-2_15",

language = "English",

isbn = "9783540411284",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "172--181",

editor = "Mateo Valero and Kazuki Joe and Masaru Kitsuregawa and Hidehiko Tanaka",

booktitle = "High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings",

}

TY - GEN

T1 - Transonic wing shape optimization based on evolutionary algorithms

AU - Obayashi, Shigeru

AU - Oyama, Akira

AU - Nakamura, Takashi

PY - 2000

Y1 - 2000

N2 - A practical three-dimensional shape optimization for aerodynamic design of a transonic wing has been performed using Evolutionary Algorithms (EAs). Because EAs coupled with aerodynamic function evaluations require enormous computational time, Numerical Wind Tunnel (NWT) located at National Aerospace Laboratory in Japan has been utilized based on the simple master-slave concept. Parallel processing makes EAs a very promising approach for practical aerodynamic design.

AB - A practical three-dimensional shape optimization for aerodynamic design of a transonic wing has been performed using Evolutionary Algorithms (EAs). Because EAs coupled with aerodynamic function evaluations require enormous computational time, Numerical Wind Tunnel (NWT) located at National Aerospace Laboratory in Japan has been utilized based on the simple master-slave concept. Parallel processing makes EAs a very promising approach for practical aerodynamic design.

UR - http://www.scopus.com/inward/record.url?scp=80053230804&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80053230804&partnerID=8YFLogxK

U2 - 10.1007/3-540-39999-2_15

DO - 10.1007/3-540-39999-2_15

M3 - Conference contribution

AN - SCOPUS:80053230804

SN - 9783540411284

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 172

EP - 181

BT - High Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings

A2 - Valero, Mateo

A2 - Joe, Kazuki

A2 - Kitsuregawa, Masaru

A2 - Tanaka, Hidehiko

PB - Springer Verlag

T2 - 3rd International Symposium on High Performance Computing, ISHPC 2000

Y2 - 16 October 2000 through 18 October 2000

ER -

Transonic wing shape optimization based on evolutionary algorithms

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this