Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2010.08.004
Title: Computing budget allocation rules for multi-objective simulation models based on different measures of selection quality
Authors: Lee, L.H. 
Chew, E.P. 
Teng, S.
Keywords: Allocation rules
Computing budget allocation
Lagrange relaxation
Measure of selection quality
Multi-objective
Issue Date: 2010
Source: Lee, L.H., Chew, E.P., Teng, S. (2010). Computing budget allocation rules for multi-objective simulation models based on different measures of selection quality. Automatica 46 (12) : 1935-1950. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2010.08.004
Abstract: In an optimal computing budget allocation problem, different measures of selection quality determine how the best set of designs can be identified and how the simulation budget should be allocated among the designs. In this paper, we look at several measures of selection quality and derive respective allocation rules for the multi-objective computing budget allocation problem. Some computational experiments are carried out to compare the performance of the allocation rules and to identify the suitable ones in certain scenarios. © 2010 Elsevier Ltd. All rights reserved.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/63062
ISSN: 00051098
DOI: 10.1016/j.automatica.2010.08.004
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

8
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

8
checked on Nov 23, 2017

Page view(s)

15
checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric


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