Within this study, it is aimed to provide an efficient algorithm for inverse design of 2-D airfoil in different flow conditions. For this purpose, as a stochastic search method, current vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for inverse design. From the results obtained, it is concluded that VGA decreased the required time for optimal airfoil solution beside its simplicity. Low population rate and short generation cycle are the main benefits ofvibrational genetic algorithm.
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Ibid, p. 3-5
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Ibid., p. 7-9
Holland J. H., p. 97-98
Wu H-Y., Yang S., Liu F., "Comparison Of Three Geometric Representations Of Airfoils For Aerodynamic Optimizations", AIAA 2003-4095, 2003, p. 2
Nemec M., "Optimal Shape Design of Aerodynamic Configurations: A Newton-Krylov Approach", Ph. D. Thesis, University Of Toronto, 2003, p. 17