GENETIC ALGORITHMS IN ENGINEERING DESIGN OPTIMIZATION
Abstract
Keywords
References
- 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
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Hamit Saruhan
*
This is me
Publication Date
September 15, 2003
Submission Date
June 15, 2003
Acceptance Date
August 15, 2003
Published in Issue
Year 2003 Number: 004