Please use this identifier to cite or link to this item: https://doi.org/10.1109/WSC.2007.4419642
Title: Finding the pareto set for multi-objective simulation models by minimization of expected opportunity cost
Authors: Lee, L.H. 
Chew, E.P. 
Teng, S. 
Issue Date: 2007
Source: Lee, L.H.,Chew, E.P.,Teng, S. (2007). Finding the pareto set for multi-objective simulation models by minimization of expected opportunity cost. Proceedings - Winter Simulation Conference : 513-521. ScholarBank@NUS Repository. https://doi.org/10.1109/WSC.2007.4419642
Abstract: In this study, we mainly explore how to optimally allocate the computing budget for a multi-objective ranking and selection (MORS) problem when the measure of selection quality is the expected opportunity cost (OC). We define OC incurred to both the observed Pareto and non-Pareto set, and present a sequential procedure to allocate the replications among the designs according to some asymptotic allocation rules. Numerical analysis shows that the proposed solution framework works well when compared with other algorithms in terms of its capability of identifying the true Pareto set. © 2007 IEEE.
Source Title: Proceedings - Winter Simulation Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/72330
ISBN: 1424413060
ISSN: 08917736
DOI: 10.1109/WSC.2007.4419642
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