Robust optimal-parameter design approach for tolerance design problems

Engineering Optimization

Volumn 42, Issue 12, 2010, Pages 1079-1093

  Tsai, Jinn Tsong ^a  

^a NATIONAL PINGTUNG UNIVERSITY   (Taiwan)

Author keywords

orthogonal array; Robust optimal parameter design; Taguchi method; tolerance design; variation of component specifications

Indexed keywords

COMPONENT SPECIFICATION; ORTHOGONAL ARRAY; PARAMETER DESIGNS; TAGUCHI; TOLERANCE DESIGN;

COMPUTATIONAL EFFICIENCY; FITS AND TOLERANCES; GENETIC ALGORITHMS; OPTIMIZATION; SPECIFICATIONS; TAGUCHI METHODS;

DESIGN;

EID: 78649242676     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052151003650084     Document Type: Article

References (23)

1. Bazaraa, M., Jarvis, J. and Sherali, H., 1990. Linear programming and network flows. New York: John Wiley and Sons.
2. ∞ optimal control design for practical applications: a genetic approach. IEEE Transactions on Control Systems Technology, 6, 707-718.
3. ∞ optimal PID control. IEEE Control Systems Magazine, 15, 51-60.
4. Davis, L., 1989. Adapting operator probabilities in genetic algorithms. Proceedings of the 1989 international conference on genetic algorithms, 4-7 June, San Mateo, CA. San Franciso, CA: Morgan Kaufman Inc., 61-69.
5. Femia, N. and Spagnuolo, G., 2000. True worst-case circuit tolerance analysis using genetic algorithms and affine arithmetic. IEEE Transactions on Circuits and Systems, 47, 1285-1296.
6. Femia, N. and Spagnuolo, G., 2002. Tolerance design of closed-loop controllers for DC-DC voltage regulators: genetic algorithms and vertex analysis based optimization. Proceedings of 2002 IEEE ISIE, 8-11 July, L'Aquila. New Jersey: IEEE Industrial Electronics Society, 94-99.
7. Forouraghi, B., 2002. Worst-case tolerance design and quality assurance via genetic algorithms. Journal of Optimization Theory and Applications, 113, 251-268.
8. Gen, M. and Cheng, R., 1997. Genetic algorithms and engineering design. New York: John Wiley and Sons.
9. Goldberg, D. E., 1989. Genetic algorithms in search, optimization and machine learning. Massachusetts:Addison-Wesley.
10. Grefenstette, J. J., 1986. Optimization of control parameters for genetic algorithms. IEEE Transactions on System, Man, and Cybernetics, 16, 122-128.
11. Michalewicz, Z., 1996. Genetic algorithms + Data structures = Evolution programs. Berlin: Springer-Verlag.
12. Montgomery, D. C., 1991. Design and analysis of experiments. New York: Wiley.
13. Park, S. H., 1996. Robust design and analysis for quality engineering. London: Chapman & Hall.
14. Phadke, M. S., 1989. Quality engineering using robust design. New Jersey: Prentice-Hall.
15. Ross, P. J., 1989. Taguchi techniques for quality engineering. Singapore: McGraw-Hill.
16. Spagnuolo, G. and Vitelli, M., 2002. Worst-case tolerance design by genetic algorithms. Proceedings of 2002 IEEE ISIE, 8-11 July, L'Aquila. New Jersey: IEEE Industrial Electronics Society, 1178-1183.
17. ∞ control problem: A state-space approach. New Jersey: Prentice-Hall.
18. Taguchi, G., Chowdhury, S. and Taguchi, S., 2000. Robust engineering. New York: McGraw-Hill.
19. Tsai, J. T., Chou, J. H. and Liu, T. K., 2006. Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm. IEEE Transactions on Neural Networks, 17, 69-80.
20. Tsai, J. T., Liu, T. K. and Chou, J. H., 2004. Hybrid Taguchi-genetic algorithm for global numerical optimization. IEEE Transactions on Evolutionary Computation, 8, 365-377.
21. Vitelli, M., Spagnuolo, G. and Femia, N., 2002. Tolerance design of DC-DC switching regulators. Proceedings of the 2002 IEEE International Symposium on Circuits and Systems, 26-29 May, Scottsdale, AZ. New Jersey: IEEE Circuits and Systems Society, 4, 751-754.
22. Wang, L., 2001. Intelligent optimization algorithms with applications. Beijing: Tsinghua University Press.
23. Wu, Y., 2000. Taguchi methods for robust design. New York: The American Society of Mechanical Engineers.