Buradasınız

Anasayfa » Content

Titresimli Genetik Algoritma ile Hizlandirilmis Kanat Profili Optimizasyonu

Accelerated Airfoil Optimization via Vibrational Genetic Algorithm

Journal Name:

  • Havacılık ve Uzay Teknolojileri Dergisi

Publication Year:

  • 2003

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
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.
Bookmark/Search this post with
Abstract (Original Language): 
Transonik kanat profili optimizasyonu, kanat profili üzerinde olusan sok dalgasi yok edilerek, sürüklemenin azaltilmasi amaciyla yapilir. Bu çalismada, yeni bir genetik algoritma (GA) yaklasimi olan Titresimli Genetik Algoritma (TGA) yönteminin, transonik kanat profili optimizasyonuna uygulamasi yapilmistir. Reel kodlu genetik algoritmalar için önerilen titresim kavraminin arkasinda yatan temel fikir, genetik algoritmanin arama/bulma etkinliginin arttirilmasi için, popülasyonun periyodik olarak çözüm uzayina yayilmasidir. Böylece GA’nin daha az islem yaparak hedefe ulasmasi amaçlanmaktadir. Bu çalismadaki TGA’da, titresim kavraminin mutasyon islemi için uygulanmasiyla elde edilen, Titresimli Mutasyon teknigi kullanilmistir. Yöntemin, vizkoz, transonik akis sartlarinda kanat profili optimizasyonunda etkinligi ve Hesaplamali Akiskanlar Dinamigi hesabi sayisini önemli ölçüde azalttigi gösterilmistir.
FULL TEXT (PDF): 
PDF icon arastirmax-titresimli-genetik-algoritma-ile-hizlandirilmis-kanat-profili-optimizasyonu.pdf
  • 1
1
10
  • Turkish

REFERENCES

References: 

[1] Falco, I. D., Cioppa, A. D., Balio R. D. and
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.

Thank you for copying data from http://www.arastirmax.com