TY - JOUR
T1 - The potential of genetic algorithms for conceptual design of rotor systems
AU - Crossley, William A.
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
Y1 - 1995/7/1
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.
KW - genetic algorithm application
KW - helicopter rotor design
KW - helicopter rotor optimization
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U2 - 10.1080/03052159508941191
DO - 10.1080/03052159508941191
M3 - Article
AN - SCOPUS:3042792296
SN - 0305-215X
VL - 24
SP - 221
EP - 238
JO - Engineering Optimization
JF - Engineering Optimization
IS - 3
ER -