A Classification Method for Ranking and Selection with Covariates-Reference-Cited by-同舟云学术

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A Classification Method for Ranking and Selection with Covariates

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 Winter Simulation Conference (WSC)
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Author:

Keslin Gregory¹,Nelson Barry L.¹,Plumlee Matthew¹,Pagnoncelli Bernardo K.²,Rahimian Hamed³

Affiliation:

1. Northwestern University,Department of Industrial Engineering & Management Sciences,Evanston,Illinois,USA,2145 Sheridan Road

2. SKEMA Business School Université Côte d'Azur, EURALILLE,Lille,FRANCE,59777

3. Clemson University,Department of Industrial Engineering,Clemson,South Carolina,USA

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015235.pdf?arnumber=10015235

Reference17 articles.

1. Data-driven Sample Average Approximation with Covariate Information;kannan;Optimization Online,2022

2. A fully sequential procedure for indifference-zone selection in simulation

3. Context-Dependent Ranking and Selection under a Bayesian Framework

4. Efficient Learning for Clustering and Optimizing Context-Dependent Designs;li;Operations Research,2022

5. DATA-DRIVEN RANKING AND SELECTION: HIGH-DIMENSIONAL COVARIATES AND GENERAL DEPENDENCE

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulation Budget Allocation for Improving Scheduling and Routing of Automated Guided Vehicles in Warehouse Management;Journal of the Operations Research Society of China;2024-07-29

2. Simulation Learning and Optimization: Methodology and Applications;Asia-Pacific Journal of Operational Research;2024-05-21

3. A Simulation Optimization Method for Scheduling Automated Guided Vehicles in a Stochastic Warehouse Management System;2023 Winter Simulation Conference (WSC);2023-12-10

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