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|Title:||A multi-objective selection procedure of determining a Pareto set||Authors:||Chen, E.J.
Ranking and selection
|Issue Date:||Jun-2009||Citation:||Chen, E.J., Lee, L.H. (2009-06). A multi-objective selection procedure of determining a Pareto set. Computers and Operations Research 36 (6) : 1872-1879. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cor.2008.06.003||Abstract:||Ranking and selection (R&S) procedures have been widely studied and applied in determining the required sample size (i.e., the number of replications or batches) for selecting the best system or a subset containing the best system from a set of k alternatives. Most of the studies in the R&S have focused on a single measure of system performance. In many practical situations, however, we need to select systems based on multiple criteria. A solution is called Pareto optimal if there exists no other solution which is better in all criteria. This paper discusses extending a R&S procedure to select a Pareto set containing non-dominated systems. Computational results show that the proposed procedures are effective in obtaining non-dominated systems. © 2008 Elsevier Ltd. All rights reserved.||Source Title:||Computers and Operations Research||URI:||http://scholarbank.nus.edu.sg/handle/10635/54460||ISSN:||03050548||DOI:||10.1016/j.cor.2008.06.003|
|Appears in Collections:||Staff Publications|
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