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Transonic Wing Shape Optimization Using a Genetic AlgorithmA method for aerodynamic shape optimization based on a genetic algorithm approach is demonstrated. The algorithm is coupled with a transonic full potential flow solver and is used to optimize the flow about transonic wings including multi-objective solutions that lead to the generation of pareto fronts. The results indicate that the genetic algorithm is easy to implement, flexible in application and extremely reliable.
Document ID
20020073158
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)
Kwak, Dochan
Date Acquired
September 7, 2013
Publication Date
July 5, 2002
Subject Category
Aircraft Design, Testing And Performance
Meeting Information
Meeting: Transonicum IV
Location: Goettingen
Country: Germany
Start Date: September 2, 2002
End Date: September 6, 2002
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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