On a paired-t confidence interval based ranking and selection method

Simple item page
dc.contributorInternational FAIM Conference 24th : 2014 : San Antonio, Texas
dc.contributorUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean Systems
dc.contributor.authorWu, Yifan
dc.contributor.authorLiu, Liping
dc.contributor.authorLi, Shu-Xia
dc.date.accessioned2022-07-11T17:35:44Z
dc.date.available2022-07-11T17:35:44Z
dc.date.issued2014
dc.descriptionPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
dc.descriptionIncludes bibliographical references
dc.description.abstractSimulation optimization is a widely used methodology for complex stochastic system design. Though the simulation provides a flexible tool for model building, the optimization process could be very challenging due to the cumbersome computing times. A paired-t confidence interval based ranking and selection method is developed to tackle such a problem. The survive probability of each candidate system is calculated with the lower and upper bounds of the confidence interval obtained using paired-t comparison method. The proposed method is tested with several numerical examples. The experimental results suggest that the proposed method outperforms the other classical Ranking and Selection procedures.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0889
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1029
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectSimulation methods
dc.subjectMathematical optimization
dc.subjectRanking and selection (Statistics)
dc.titleOn a paired-t confidence interval based ranking and selection method
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
0889.pdf
Size:
334.11 KB
Format:
Adobe Portable Document Format
Download

Collections

24th International Conference on Flexible Automation and Intelligent Manufacturing