An efficient simulation budget allocation method incorporating regression for partitioned domains
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Publication:458756
DOI10.1016/j.automatica.2014.03.011zbMath1296.93176OpenAlexW1972357824WikidataQ33749782 ScholiaQ33749782MaRDI QIDQ458756
Mark W. Brantley, Chun-Hung Chen, Jie Xu, Loo Hay Lee
Publication date: 8 October 2014
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc4055954
Related Items (6)
Optimal computing budget allocation for regression with gradient information ⋮ An efficient simulation procedure for the expected opportunity cost using metamodels ⋮ Optimal Learning in Linear Regression with Combinatorial Feature Selection ⋮ Efficient simulation budget allocation for subset selection using regression metamodels ⋮ Simulation Optimization for MRO Systems Operations ⋮ Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data
Cites Work
- On the de la Garza phenomenon
- Multivariate adaptive regression splines
- Simulation budget allocation for further enhancing the efficiency of ordinal optimization
- Selecting a Selection Procedure
- On two-stage selection procedures and related probability-inequalities
- Introduction to Stochastic Search and Optimization
- Approximate Simulation Budget Allocation for Selecting the Best Design in the Presence of Stochastic Constraints
- Spacing of Information in Polynomial Regression
- Global optimization
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