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TECHNICAL PAPERS: Gas Turbines: Structures and Dynamics

Multiobjective Optimum Design of Rotor-Bearing Systems With Dynamic Constraints Using Immune-Genetic Algorithm

[+] Author and Article Information
B.-K. Choi

Department of Mechanical and Aerospace Engineering, Arizona State University, Tempe, AZ 85287-6106e-mail: bgchoi@imap1.asu.edu

B.-S. Yang

School of Mechanical Engineering, Pukyong National University, San 100, Yongdang-dong, Nam-Ku, Pusan 608-739, South Korea

J. Eng. Gas Turbines Power 123(1), 78-81 (Sep 28, 1999) (4 pages) doi:10.1115/1.1338952 History: Received January 01, 1999; Revised September 28, 1999
Copyright © 2001 by ASME
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References

Mori, K., Tsukiyama, M., and Fukuda, T., 1996, “Multi-Optimization By Immune Algorithm with Diversity and Learning,” ICMAS’96, Second International Conference on Multiagent Systems, Kyoto, Japan, pp. 118–123.
Isao,  T., Seiichi,  K., and Hironori,  H., 1997, “An Evolutionary Optimization based on the Immune System and its Application to the VLSI Floorplan Design Problem,” Trans. Inst. Electr. Eng. Jpn., Part C, 117, pp. 821–827.
Davis, L. ed., 1991, Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York.
Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization & Machine Leaning, Addision Wesley, New York.
Shima,  T., 1995, “Global Optimization by a Niche Method for Evolutionary Algorithm,” J. Systems Control Information,8, pp. 94–96 (in Japanese).
Ivan, M. R., Jonathan, B., and David, M., 1989, Immunology, Grower Medical Publishing, New York.
Choi,  B. G., and Yang,  B. S., 2000, “Optimum Shape Design of Rotor Shafts Using Genetic Algorithm,” J. Vibration Control, 6, pp. 207–222.
Shiau,  T. N., and Hwang,  J. L., 1990, “Optimum Weight Design of a Rotor Bearing System with Dynamic Behavior Constraints,” Trans. ASME: J. Eng. Gas Turbines Power, 112, pp. 454–462.
Shiau,  T. N., and Chang,  J. R., 1993, “Multiobjective Optimization of Rotor-Bearing System with Critical Speed Constraints,” Trans. ASME: J. Eng. Gas Turbines Power, 115, pp. 246–255.

Figures

Grahic Jump Location
The production mechanism of antibodies in the immune system
Grahic Jump Location
Schematic of the rotor-bearing system
Grahic Jump Location
Unbalance response of initial and optimum design
Grahic Jump Location
Mode shape of initial and optimum design (2nd mode)

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