ACCELERATED AIRFOIL OPTIMIZATION VIA VIBRATIONAL GENETIC ALGORITHM
Keywords:
Vibrational Genetic Algorithm, Transonic Airfoil OptimizationAbstract
Transonic airfoil optimization is made for drag minimisation through shock wave reduction. In this study, a new
approach to genetic algorithms, called Vibrational Genetic Algorithm (VGA), is used for transonic airfoil optimization.
Vibration concept, proposed for real coded genetic algorithm, is based on the idea that the population is spread out
over the design space periodically to make exploration/exploitation of the genetic algorithm more effective. Therefore,
GA makes less function evaluation to get the target solution. Vibrational Mutation technique resulting from Vibration
concept, and the method of Vibrational Genetic Algorithm, which uses this technique, are detailed. The method is
shown to be effective in airfoil optimization for transonic viscous flow conditions and considerably decreased the CFD
calculations.
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References
Tarantino, E., “Breeder Genetic Algorithms for Airfoil
Design Optimisation”, IEEE Int. Conf. On
Evolutionary Computing, Nagoya, Japan, 1996.
[2] Mühlenbein, H. and Schlierkamp -Voosen, D.,
“Predictive Models for the Breeder Genetic Algorithm
I. Continuous Parameter Optimization”, Evolutionary
Computation 1, pp. 25-49, 1993.
[3] Falco, I. D., Cioppa, A. D., Lazzetta A. and
Tarantino, E., “Mijn Mutation Operator for Airfoil
Design Optimisation”, Soft Computing in Engineering
Design and Manufacturing, Springer Verlag, pp. 211-
220, 1998.
[4] Vicini, A. and Quagliarella, D., “Airfoil and Wing
Design Through Hybrid Optimization Strategies”, AIAA
Journal, Vol. 37, No. 5, 1999.
[5] Tse, D.C.M., and Chan, L.Y.Y., “Application of Micro
Genetic Algorithms and Neural Networks for Airfoil
Design Optimization”, RTO MP-035 RTO-MP-035
Aerodynamic Design and Optimisation of Flight Vehicles
in a Concurrent Multi-Disciplinary Environment, 1999.
[6] Hacioglu, A. and Özkol, I., “Vibrational Genetic
Algorithm as a New Concept in Aerodynamic Design”,
Aircraft Engineering and Aerospace Technology, Vol. 74,
No. 3, pp. 228-236, 2002.
[7] Hacioglu, A. and Özkol, I., “Modified BLX-? : Double
Directional Alpha Method”, Proceedings of the Sixteenth
International Symposium On Computer And
Information Sciences (ISCIS XVI), 5-7 November,
2001.
[8] Obayashi, S., Takanashi, S. and Takeguchi, Y.,
“Niching and Elitist Model for MOGAs”, Paralel
Problem Solving from Nature-PPSN V, Lecture Notes
in Computer Science, Springer, pp. 260-269, 1999.
[9] Eshelman, L.J. and Schaffer, J. D., “Real Coded
Genetic Algorithms and Interval Schemata”,
Foundations of Genetic Algorithms 2, Morgan
Kaufmann Publishers, pp. 187-202, 1993.
[10] Baker, J. E., “Reducing Bias and Inefficiency in
the Selection Algorithm”, Proceedings of the Second
International Conference on Genetic Algorithms,
Morgan Kaufmann Publishers, pp.14-21, 1987.
[11] Hacioglu, A., “Interactive Solution Procedure for
Full Potential and Boundary Layer Equations”,
Havacilik Mühendisligi Yüksek Lisans Tezi, ODTÜ,
1997.
[12] Cebeci, T.and Bradshaw, P., “Physical and
Computational Aspect of Convective Heat Transfer”,
Springer-Verlag, New York, 1994.
[13] Ermis, M., Ülengin, F. and Hacioglu, A.,
“Vibrational Genetic Algorithm (VGA) For Solving
Continuous Covering Location Problems”, Lecture
Notes in Computer Science, Volume 2457, pp 293-302,
2002.
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The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.
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