Stochastic Constraints: How Feasible Is Feasible?-Reference-Cited by-同舟云学术

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Stochastic Constraints: How Feasible Is Feasible?

Published:2023-12-10 Issue: Volume: Page:3589-3600
ISSN:
Container-title:2023 Winter Simulation Conference (WSC)
language:
Short-container-title:

Author:

Eckman David J.¹,Henderson Shane G.²,Shashaani Sara³

Affiliation:

1. Texas A&M University,Industrial and Systems Engineering,College Station,TX,USA,77843

2. Cornell University,Operations Research and Information Engineering,Ithaca,NY,USA,14853

3. North Carolina State University,Industrial and Systems Engineering,Raleigh,NC,USA,27695

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406299/10407113/10408734.pdf?arnumber=10408734

Reference30 articles.

1. The Scenario Approach to Robust Control Design

2. Chance-Constrained Programming

3. Cost Horizons and Certainty Equivalents: An Approach to Stochastic Programming of Heating Oil

4. Optimizing resource allocation in service systems via simulation: A Bayesian formulation

5. PyMOSO: Software for Multiobjective Simulation Optimization with R-PERLE and R-MinRLE

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