Knockout-tournament procedures for large-scale ranking and selection in parallel computing environments
Year of publication: |
2022
|
---|---|
Authors: | Zhong, Ying ; Hong, L. Jeff |
Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 70.2022, 1, p. 432-453
|
Subject: | Simulation | optimal in rate | parallel computing | ranking and selection | Ranking-Verfahren | Ranking method | Theorie | Theory |
-
Chance constrained selection of the best
Hong, L. Jeff, (2015)
-
Finding feasible systems for subjective constraints using recycled observations
Zhou, Yuwei, (2022)
-
Efficient learning for clustering and optimizing context-dependent designs
Li, Haidong, (2024)
- More ...
-
Earning and Learning with Varying Cost
Zhong, Ying, (2021)
-
Solving large-scale fixed-budget ranking and selection problems
Hong, L. Jeff, (2022)
-
Speeding up Paulson's procedure for large-scale problems using parallel computing
Zhong, Ying, (2022)
- More ...