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http://dx.doi.org/10.5139/JKSAS.2013.41.7.509

A Study on Real-Coded Adaptive Range Multi-Objective Genetic Algorithm for Airfoil Shape Design  

Jung, Sung-Ki (Korea Aerospace Industries. Ltd.)
Kim, Ji-Hong (Korea Aerospace Industries. Ltd.)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.41, no.7, 2013 , pp. 509-515 More about this Journal
Abstract
In this study, the real-coded adaptive range multi-objective genetic algorithm code, which represents the global multi-objective optimization algorithm, was developed for an airfoil shape design. In order to achieve the better aerodynamic characteristics than reference airfoil at landing and cruise conditions, maximum lift coefficient and lift-to-drag ratio were chosen as object functions. Futhermore, the PARSEC method reflecting geometrical properties of airfoil was adopted to generate airfoil shapes. Finally, two airfoils, which show better aerodynamic characteristics than a reference airfoil, were chosen. As a result, maximum lift coefficient and lift-to-drag ratio were increased of 4.89% and 5.38% for first candidate airfoil and 7.13% and 4.33% for second candidate airfoil.
Keywords
Adaptive Range Multi-Objective Genetic Algorithm(ARMOGA); PARSEC; CFD;
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Times Cited By KSCI : 3  (Citation Analysis)
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