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Aerodynamic Shape Optimization Using A Real-Number-Encoded Genetic AlgorithmA new method for aerodynamic shape optimization using a genetic algorithm with real number encoding is presented. The algorithm is used to optimize three different problems, a simple hill climbing problem, a quasi-one-dimensional nozzle problem using an Euler equation solver and a three-dimensional transonic wing problem using a nonlinear potential solver. Results indicate that the genetic algorithm is easy to implement and extremely reliable, being relatively insensitive to design space noise.
Document ID
20010003442
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Holst, Terry L.
(NASA Ames Research Center Moffett Field, CA United States)
Pulliam, Thomas H.
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2001
Subject Category
Aerodynamics
Meeting Information
Meeting: Applied Aerodynamics
Location: Anaheim, CA
Country: United States
Start Date: June 11, 2001
End Date: June 14, 2001
Sponsors: American Inst. of Aeronautics and Astronautics
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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