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《Science Technology and Engineering》 2007-10
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Optimization Design of Airfoil Based on Hybrid Genetic Algorithm and Compound Form Method

YU Gang, LI Dong(Northwestern Polytechnical University ,Xi'an 710072 ,P.R.China)  
Genetic algorithm has a primary disadvantage that computational cost increases greatly for over much evaluation of objective functions and their fitness.To improve efficiency of optimization by means of genetic algorithm, a hybrid genetic algorithm and compound form method in aerodynamic optimization design is constructed by combining compound form method with genetic algorithm. The hybrid method is used to carry out single objective and multiple objectives aerodynamic optimization design of supercritical airfoil. The flow field is solved by Renolds-averaged N-S equations. The examples indicate that the hybrid method is stable and high efficient and the designed airfoil has a high quality. It is proved that the hybrid method is valuable on project application.
【CateGory Index】: V224
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