The potential of genetic algorithms for conceptual design of rotor systems

William A. Crossley; Valana Wells; David H. Laananen

doi:10.1080/03052159508941191

The potential of genetic algorithms for conceptual design of rotor systems

William A. Crossley
, Valana Wells
, David H. Laananen

Mechanical and Aerospace Engineering

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

11 Scopus citations

Abstract

The capabilities of the genetic algorithm as a non-calculus based, global search method makes it potentially useful in the conceptual design of rotor systems. Coupling reasonably simple analysis tools to the genetic algorithm was accomplished, and the resulting program was used to generate designs for rotor systems to match requirements similar to those of both an existing helicopter and a proposed helicopter design. This provides a comparison with the existing design and also provides insight into the potential of genetic algorithms in design of new rotors.

Original language	English (US)
Pages (from-to)	221-238
Number of pages	18
Journal	Engineering Optimization
Volume	24
Issue number	3
DOIs	https://doi.org/10.1080/03052159508941191
State	Published - Jul 1 1995

Keywords

genetic algorithm application
helicopter rotor design
helicopter rotor optimization

ASJC Scopus subject areas

Computer Science Applications
Control and Optimization
Management Science and Operations Research
Industrial and Manufacturing Engineering
Applied Mathematics

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10.1080/03052159508941191

Cite this

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title = "The potential of genetic algorithms for conceptual design of rotor systems",

abstract = "The capabilities of the genetic algorithm as a non-calculus based, global search method makes it potentially useful in the conceptual design of rotor systems. Coupling reasonably simple analysis tools to the genetic algorithm was accomplished, and the resulting program was used to generate designs for rotor systems to match requirements similar to those of both an existing helicopter and a proposed helicopter design. This provides a comparison with the existing design and also provides insight into the potential of genetic algorithms in design of new rotors.",

keywords = "genetic algorithm application, helicopter rotor design, helicopter rotor optimization",

author = "Crossley, \{William A.\} and Valana Wells and Laananen, \{David H.\}",

note = "Funding Information: Mr. Crossley would,like to thank McDonnell Douglas Helicopter Systems for the support of this work through a graduate education fellowship with Arizone State University. The authors would also like to acknowledge Mr. Tony Glinka for his contributions to the code. This work was partially sponsored by NASA Ames Research Center Grant GR NAG 2882.",

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AU - Wells, Valana

AU - Laananen, David H.

N1 - Funding Information: Mr. Crossley would,like to thank McDonnell Douglas Helicopter Systems for the support of this work through a graduate education fellowship with Arizone State University. The authors would also like to acknowledge Mr. Tony Glinka for his contributions to the code. This work was partially sponsored by NASA Ames Research Center Grant GR NAG 2882.

PY - 1995/7/1

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N2 - The capabilities of the genetic algorithm as a non-calculus based, global search method makes it potentially useful in the conceptual design of rotor systems. Coupling reasonably simple analysis tools to the genetic algorithm was accomplished, and the resulting program was used to generate designs for rotor systems to match requirements similar to those of both an existing helicopter and a proposed helicopter design. This provides a comparison with the existing design and also provides insight into the potential of genetic algorithms in design of new rotors.

AB - The capabilities of the genetic algorithm as a non-calculus based, global search method makes it potentially useful in the conceptual design of rotor systems. Coupling reasonably simple analysis tools to the genetic algorithm was accomplished, and the resulting program was used to generate designs for rotor systems to match requirements similar to those of both an existing helicopter and a proposed helicopter design. This provides a comparison with the existing design and also provides insight into the potential of genetic algorithms in design of new rotors.

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KW - helicopter rotor design

KW - helicopter rotor optimization

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ER -

The potential of genetic algorithms for conceptual design of rotor systems

Abstract

Keywords

ASJC Scopus subject areas

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