Real-coded adaptive range genetic algorithm applied to transonic wing optimization

Akira Oyama; Shigeru Obayashi; Takashi Nakamura

doi:10.1007/3-540-45356-3_70

Real-coded adaptive range genetic algorithm applied to transonic wing optimization

Akira Oyama, Shigeru Obayashi, Takashi Nakamura

Creative Flow Research Division

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

4 Citations (Scopus)

Abstract

Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGAs possess both advantages of the binary-coded ARGAs and the floating-point representation to overcome the problems of having a large search space that requires continuous sampling. The results confirm that the real-coded ARGAs consistently find better solutions than the conventional real-coded Genetic Algorithms do.

Original language	English
Title of host publication	Parallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings
Editors	Marc Schoenauer, Kalyanmoy Deb, Gunther Rudolph, Hans-Paul Schwefel, Xin Yao, Evelyne Lutton, Juan Julian Merelo
Publisher	Springer Verlag
Pages	712-721
Number of pages	10
ISBN (Print)	9783540410560
DOIs	https://doi.org/10.1007/3-540-45356-3_70
Publication status	Published - 2000
Event	6th International Conference on Parallel Problem Solving from Nature, PPSN 2000 - Paris, France Duration: 2000 Sept 18 → 2000 Sept 20

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1917
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th International Conference on Parallel Problem Solving from Nature, PPSN 2000
Country/Territory	France
City	Paris
Period	00/9/18 → 00/9/20

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45356-3_70

Cite this

Oyama, A., Obayashi, S., & Nakamura, T. (2000). Real-coded adaptive range genetic algorithm applied to transonic wing optimization. In M. Schoenauer, K. Deb, G. Rudolph, H-P. Schwefel, X. Yao, E. Lutton, & J. J. Merelo (Eds.), Parallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings (pp. 712-721). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1917). Springer Verlag. https://doi.org/10.1007/3-540-45356-3_70

Real-coded adaptive range genetic algorithm applied to transonic wing optimization. / Oyama, Akira; Obayashi, Shigeru; Nakamura, Takashi.
Parallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings. ed. / Marc Schoenauer; Kalyanmoy Deb; Gunther Rudolph; Hans-Paul Schwefel; Xin Yao; Evelyne Lutton; Juan Julian Merelo. Springer Verlag, 2000. p. 712-721 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1917).

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

Oyama, A, Obayashi, S & Nakamura, T 2000, Real-coded adaptive range genetic algorithm applied to transonic wing optimization. in M Schoenauer, K Deb, G Rudolph, H-P Schwefel, X Yao, E Lutton & JJ Merelo (eds), Parallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1917, Springer Verlag, pp. 712-721, 6th International Conference on Parallel Problem Solving from Nature, PPSN 2000, Paris, France, 00/9/18. https://doi.org/10.1007/3-540-45356-3_70

Oyama A, Obayashi S, Nakamura T. Real-coded adaptive range genetic algorithm applied to transonic wing optimization. In Schoenauer M, Deb K, Rudolph G, Schwefel H-P, Yao X, Lutton E, Merelo JJ, editors, Parallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings. Springer Verlag. 2000. p. 712-721. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45356-3_70

Oyama, Akira ; Obayashi, Shigeru ; Nakamura, Takashi. / Real-coded adaptive range genetic algorithm applied to transonic wing optimization. Parallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings. editor / Marc Schoenauer ; Kalyanmoy Deb ; Gunther Rudolph ; Hans-Paul Schwefel ; Xin Yao ; Evelyne Lutton ; Juan Julian Merelo. Springer Verlag, 2000. pp. 712-721 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Real-coded adaptive range genetic algorithm applied to transonic wing optimization

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