Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty

IISE Transactions

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Main Authors: Hui Xiao, Fei Gao, Loo Hay Lee
Other Authors: INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
Format: Article
Published: Taylor & Francis 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/165529
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1655292024-11-08T18:03:13Z Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty Hui Xiao Fei Gao Loo Hay Lee INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT IISE Transactions 52 5 489-499 2020-03-17T06:18:50Z 2020-03-17T06:18:50Z 2019-10-14 Article Hui Xiao, Fei Gao, Loo Hay Lee (2019-10-14). Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty. IISE Transactions 52 (5) : 489-499. ScholarBank@NUS Repository. 2472-5854 https://scholarbank.nus.edu.sg/handle/10635/165529 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description IISE Transactions
author2 INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
author_facet INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
Hui Xiao
Fei Gao
Loo Hay Lee
format Article
author Hui Xiao
Fei Gao
Loo Hay Lee
spellingShingle Hui Xiao
Fei Gao
Loo Hay Lee
Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty
author_sort Hui Xiao
title Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty
title_short Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty
title_full Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty
title_fullStr Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty
title_full_unstemmed Optimal Computing Budget Allocation for Complete Ranking with Input Uncertainty
title_sort optimal computing budget allocation for complete ranking with input uncertainty
publisher Taylor & Francis
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/165529
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