Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0020-0255(02)00296-7
Title: Constraint ordinal optimization
Authors: Li, D.
Lee, L.H. 
Ho, Y.C.
Keywords: Constraint optimization
Optimization
Ordinal optimization
Simulation
Issue Date: Dec-2002
Citation: Li, D., Lee, L.H., Ho, Y.C. (2002-12). Constraint ordinal optimization. Information Sciences 148 (1-4) : 201-220. ScholarBank@NUS Repository. https://doi.org/10.1016/S0020-0255(02)00296-7
Abstract: Ordinal optimization has been developed as the solution to single performance measurement problem. However, in reality, multiple performance measures are required to solve optimization problems. Constraint optimization was developed so that single measure could be optimized while the remaining performance measures were used as constraints. In this paper, we will build a new framework and quantification methods for dealing with the constraint optimization problem. We call the framework constraint ordinal optimization. © 2002 Elsevier Science Inc. All rights reserved.
Source Title: Information Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/63066
ISSN: 00200255
DOI: 10.1016/S0020-0255(02)00296-7
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

29
checked on Nov 19, 2018

WEB OF SCIENCETM
Citations

22
checked on Oct 23, 2018

Page view(s)

37
checked on Nov 17, 2018

Google ScholarTM

Check

Altmetric


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