Please use this identifier to cite or link to this item: https://doi.org/10.1109/WSC.2006.323109
Title: The impact of ordinal on response surface methodology
Authors: Oon, S.J.
Lee, L.H. 
Issue Date: 2006
Source: Oon, S.J., Lee, L.H. (2006). The impact of ordinal on response surface methodology. Proceedings - Winter Simulation Conference : 406-413. ScholarBank@NUS Repository. https://doi.org/10.1109/WSC.2006.323109
Abstract: Traditionally, Response Surface Methodology (RSM) is cardinal in nature. Ordinal optimization was only introduced recently. Since ordinal optimization has been proven to be successful in certain applications, this paper aims to investigate whether ordinal optimization improves RSM by developing ordinal RSM and comparing it with cardinal RSM in terms of efficiency, accuracy and consistency. Assuming that the performances of systems can be expressed as functions of their parameters, both ordinal and cardinal RSM are simulated for several simple multivariable mathematical functions and the effectiveness of ordinal RSM evaluated. It was found that ordinal does not always improve RSM, especially in functions which exhibit a large gradient change over a small region. © 2006 IEEE.
Source Title: Proceedings - Winter Simulation Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/72419
ISBN: 1424405017
ISSN: 08917736
DOI: 10.1109/WSC.2006.323109
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

2
checked on Nov 21, 2017

Page view(s)

26
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.