Improving Genetic Algorithm Efficiency with an Artificial Neural Network for Optimization of Low Reynolds Number Airfoils-Reference-Cited by-同舟云学术

Improving Genetic Algorithm Efficiency with an Artificial Neural Network for Optimization of Low Reynolds Number Airfoils

Published:2009-01-05 Issue: Volume: Page:
ISSN:
Container-title:47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition
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Author:

Bellman Miles¹,Straccia Joseph¹,Morgan Brandon¹,Maschmeyer Katherine¹,Agarwal Ramesh¹

Affiliation:

1. Washington University in St. Louis

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.2009-1096

Reference13 articles.

1. Aerodynamic design via control theory

2. Fixed and Flapping Wing Aerodynamics for Micro Air Vehicle Applications

3. Häggmark, C. "Investigations of Disturbances Developing in a Laminar Separation Bubble Flow," Technical Report, Swedish Royal Institute of Technology, Dept. of Mechanics, StockholmSweden,March2000.

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