30.06.2013 Views

ดาวน์โหลด All Proceeding - AS Nida

ดาวน์โหลด All Proceeding - AS Nida

ดาวน์โหลด All Proceeding - AS Nida

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

the method to generate the offspring LHD. Hence other methods could<br />

be further investigated to improve the performance of GA type 2.<br />

Furthermore, the larger dimension of problem and other parameter<br />

settings should be further examined.<br />

6. Acknowledgement<br />

This research was fully supported by Naresuan University.<br />

7. References<br />

[1] R. Jin, W. Chen, and A. Sudjianto, "An efficient algorithm for<br />

constructing optimal design of computer experiments", Journal of<br />

Statistical Planning and Inference, Vol. 134, pp.268-287, 2005.<br />

[2] S. Leary, A. Bhaskar, and A. Keane, “Optimal orthogonal-arraybased<br />

latin hypercubes”, Journal of Applied Statistics, Vol. 30,<br />

No.5, pp.585-598, 2003.<br />

[3] M. Liefvendahl and R. Stocki, “Study on algorithms for<br />

optimization of Latin hypercubes”, Journal of Statistical Planning<br />

and Inference, Vol. 136, pp. 3231-3247, 2006.<br />

80<br />

[4] M. D. Mckay, R. J. Beckman, and W. J. Conover, “A comparison<br />

of three methods for selecting values of input variables in the<br />

analysis of output from a computer code”, Technometrics, Vol. 21,<br />

pp.239-246, 1979.<br />

[5] M. D. Morris and T. J. Mitchell, “Exploratory design for computer<br />

experiments”, Journal of Statistical Planning and Inference, Vol.<br />

43, pp.381-402, 1995.<br />

[6] J. Rungrattanaubol and A. Na-udom, “Comparison of<br />

Evolutionary Search Algorithms in Computer Simulated<br />

Experiments”, In proceeding of National Computer Science and<br />

Engineering Conference (NCSEC2007), pp. 102-106.<br />

[7] J. Sacks, W. J. Welch , T. J. Mitchell, and H. P. Wynn, “Design<br />

and analysis of computer experiments”, Statistical Science, Vol.<br />

4(4), pp. 409-425, 1989.<br />

[8] R Development Core Team, “R: A language and environment for<br />

statistical computing”, R Foundation for Statistical Computing,<br />

Vienna, Austria, 2010. ISBN 3-900051-07

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!