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

Akira Oyama; Shigeru Obayashi; Takashi Nakamura

doi:10.1016/S1568-4946(01)00017-5

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

Akira Oyama, Shigeru Obayashi, Takashi Nakamura

Creative Flow Research Division

Research output: Contribution to journal › Article › peer-review

68 Citations (Scopus)

Abstract

Real-coded adaptive range genetic algorithm (ARGA) has been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGA possesses both advantages of the binary-coded ARGA 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 ARGA consistently finds better solutions than the conventional real-coded genetic algorithms do.

Original language	English
Pages (from-to)	179-187
Number of pages	9
Journal	Applied Soft Computing
Volume	1
Issue number	3
DOIs	https://doi.org/10.1016/S1568-4946(01)00017-5
Publication status	Published - 2001

Keywords

Computational fluid dynamics
Dynamic coding
Floating-point representation
Genetic algorithm
Parallelization
Real-world application
Wing design

ASJC Scopus subject areas

Software

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10.1016/S1568-4946(01)00017-5

Cite this

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AB - Real-coded adaptive range genetic algorithm (ARGA) has been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGA possesses both advantages of the binary-coded ARGA 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 ARGA consistently finds better solutions than the conventional real-coded genetic algorithms do.

KW - Computational fluid dynamics

KW - Dynamic coding

KW - Floating-point representation

KW - Genetic algorithm

KW - Parallelization

KW - Real-world application

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

Abstract

Keywords

ASJC Scopus subject areas

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