Araştırma Makalesi
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GENETIC ALGORITHMS IN ENGINEERING DESIGN OPTIMIZATION

Yıl 2003, Sayı: 004, 151 - 162, 15.09.2003

Öz

Kaynakça

  • I. Anti-Friction Bearing Manufacturers Association. ANSI-AFBMA Standard 9- 1978. New York: American National Standards Institute, 1978.
  • 2. Back, T., 1993, "Optimal Mutation Rates in Genetic Search," Proceedings of the 5th International Conference on Genetic Algorithms, Morgan Kaufmann, Los Angeles, 2-8.
  • 3. Beasly, D., Bull, D.R, and Martin, RR, 1993, "An Overview of Genetic Algorithms: Part2, Research Topics," University Computing, 15 (4),170-181.
  • 4. Dejong K., 1975, "The Analysis and Behavior of Class of Genetic Adaptive Systems," Ph.D. Thesis, University of Michigan.
  • 5. Dracopoulos, D.C, 1997, "Evolutionary Learning Algorithms for Neural Adaptive Control," Springer-Verlag, London.
  • 6. Goldberg, D.E., 1985, "Optimal Initial Population Size for Binary Coded Genetic Algorithms," The Clearinghouse for Genetic Algorithms, University of Alabama, TCGA Rept. 8500 I, Tuscaloosa.
  • 7. Goldberg, D. E., 1989, "Genetic Algorithms in Search, Optimization, and Machine Learning," Addison-Wesley, Reading.
  • 8. Goldberg, D.E., 1998, "The Design of Innovation: Lessons from Genetic Algorithms, Lessons for the Real World," University of Illinois at Urbana- Champaign, IlliGAL Report: 98004, Urbana, IL
  • 9. Lin, CY. and Hajela, P., 1992, "Genetic Algorithms in Optimization Problems with Discrete and Integer Design Variables," Engineering Optimization, 19, 309-327.
  • 10. Louis, S.J., Zhoo, F., and Zeng, X., 1997, "Flaw Detection and Configuration with Genetic Algorithms," Evolutionary Algorithms in Engineering Applications, Springer- Verlag.
  • 11. Mitchell, M., 1997, "An Introduction to Genetic Algorithms," The MIT Press, Massachusetts. .
  • 12. Saruhan, H., Rouch, K.E., and Roso, CA., 2001, "Design Optimization of Fixed Pad Journal Bearing for Rotor System Using a Genetic Algorithm Approach," The I st International Symposium on Stability Control of Rotating Machinery, ISCORMA-I, Lake Tahoe, Nevada.
  • 13. Saruhan, H., Rouch, K.E., and Roso, CA., 2002, "Design Optimization of Tilting-Pad Journal Bearing Using a Genetic Algorithm Approach," The 9th of International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, ISROMAC-9, Honolulu, Hawaii.
  • 14. Spears, W.M., and De Jong, K.A., 1991, "On the Virtues of Parameterized Uniform Crossover," Proceedings of the 4th International Conference on Genetic Algorithms, Morgan Kaufman, 230-236.
  • 15. Syswerda, G., 1989, "Uniform Crossover in Genetic Algorithms," Proceedings of the 3rd International Conference on Genetic Algorithms, Morgan Kaufman, 2- 9.
  • 16. Wilson, C.E., 1997, "Computer Integrated Machine Design," Prentice Hall, New Jersey.
  • 17. Wu, SJ. and Chow, P.T., 1995, "Genetic Algorithms for Nonlinear Mixed Discrete-Integer Optimization Problems via Meta-Genetic Parameter Optimization," Engineering Optimization, 24,137-159.

Miihendislik Tasarim Optimizasyonunda Genetik Algoritmalar

Yıl 2003, Sayı: 004, 151 - 162, 15.09.2003

Öz

Bu makale miihendislik tasartmtnda uygun bir optimum tasarim

methodu olarak genetik algoritmalartn kisa bir tantttmtnt ve

uygulamastni verir. Bu' caltsmantn asil amaci, genetik algoritmalartn

bir optimizasyon teknigi olarak potansiyelini ve uygulanabilme

kabiliyetlerini bilyalt rulmanlara uyarlamakla gostermektir. Bilyali

rulmanlar icin elde edilen sonuclarla bu tekniklerin kabiliyeti

gosterilmistir. Genetik algoritmalar tabii seleksiyon (secim) teknigini

kullanarak tantmlanan stntrlar icinde tarama yapan ve genetikjikrine

dayalt uygun arasurma teknikleridirler. Gun gectikce genetik

algoritmalar daha iyi taninmakta ve bir 90k alanda

uygulanmaktadtrlar.

Kaynakça

  • I. Anti-Friction Bearing Manufacturers Association. ANSI-AFBMA Standard 9- 1978. New York: American National Standards Institute, 1978.
  • 2. Back, T., 1993, "Optimal Mutation Rates in Genetic Search," Proceedings of the 5th International Conference on Genetic Algorithms, Morgan Kaufmann, Los Angeles, 2-8.
  • 3. Beasly, D., Bull, D.R, and Martin, RR, 1993, "An Overview of Genetic Algorithms: Part2, Research Topics," University Computing, 15 (4),170-181.
  • 4. Dejong K., 1975, "The Analysis and Behavior of Class of Genetic Adaptive Systems," Ph.D. Thesis, University of Michigan.
  • 5. Dracopoulos, D.C, 1997, "Evolutionary Learning Algorithms for Neural Adaptive Control," Springer-Verlag, London.
  • 6. Goldberg, D.E., 1985, "Optimal Initial Population Size for Binary Coded Genetic Algorithms," The Clearinghouse for Genetic Algorithms, University of Alabama, TCGA Rept. 8500 I, Tuscaloosa.
  • 7. Goldberg, D. E., 1989, "Genetic Algorithms in Search, Optimization, and Machine Learning," Addison-Wesley, Reading.
  • 8. Goldberg, D.E., 1998, "The Design of Innovation: Lessons from Genetic Algorithms, Lessons for the Real World," University of Illinois at Urbana- Champaign, IlliGAL Report: 98004, Urbana, IL
  • 9. Lin, CY. and Hajela, P., 1992, "Genetic Algorithms in Optimization Problems with Discrete and Integer Design Variables," Engineering Optimization, 19, 309-327.
  • 10. Louis, S.J., Zhoo, F., and Zeng, X., 1997, "Flaw Detection and Configuration with Genetic Algorithms," Evolutionary Algorithms in Engineering Applications, Springer- Verlag.
  • 11. Mitchell, M., 1997, "An Introduction to Genetic Algorithms," The MIT Press, Massachusetts. .
  • 12. Saruhan, H., Rouch, K.E., and Roso, CA., 2001, "Design Optimization of Fixed Pad Journal Bearing for Rotor System Using a Genetic Algorithm Approach," The I st International Symposium on Stability Control of Rotating Machinery, ISCORMA-I, Lake Tahoe, Nevada.
  • 13. Saruhan, H., Rouch, K.E., and Roso, CA., 2002, "Design Optimization of Tilting-Pad Journal Bearing Using a Genetic Algorithm Approach," The 9th of International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, ISROMAC-9, Honolulu, Hawaii.
  • 14. Spears, W.M., and De Jong, K.A., 1991, "On the Virtues of Parameterized Uniform Crossover," Proceedings of the 4th International Conference on Genetic Algorithms, Morgan Kaufman, 230-236.
  • 15. Syswerda, G., 1989, "Uniform Crossover in Genetic Algorithms," Proceedings of the 3rd International Conference on Genetic Algorithms, Morgan Kaufman, 2- 9.
  • 16. Wilson, C.E., 1997, "Computer Integrated Machine Design," Prentice Hall, New Jersey.
  • 17. Wu, SJ. and Chow, P.T., 1995, "Genetic Algorithms for Nonlinear Mixed Discrete-Integer Optimization Problems via Meta-Genetic Parameter Optimization," Engineering Optimization, 24,137-159.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Hamit Saruhan Bu kişi benim

Yayımlanma Tarihi 15 Eylül 2003
Yayımlandığı Sayı Yıl 2003 Sayı: 004

Kaynak Göster

APA Saruhan, H. (2003). GENETIC ALGORITHMS IN ENGINEERING DESIGN OPTIMIZATION. Journal of Science and Technology of Dumlupınar University(004), 151-162.

HAZİRAN 2020'den itibaren Journal of Scientific Reports-A adı altında ingilizce olarak yayın hayatına devam edecektir.