A Simulation Budget Allocation Procedure for Enhancing the Efficiency of Optimal Subset Selection

DOI10.1109/TAC.2015.2423832zbMath1359.90085OpenAlexW2046282120MaRDI QIDQ2980700

Loo Hay Lee, Chun-Hung Chen, Ek Peng Chew, Si Zhang, Jie Xu

Publication date: 3 May 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2015.2423832

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15)

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Stochastic Simulation Optimization for Route Selection Strategy Based on Flight Delay Cost ⋮ Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination ⋮ Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization ⋮ Simulation budget allocation for simultaneously selecting the best and worst subsets ⋮ An efficient simulation procedure for the expected opportunity cost using metamodels ⋮ Ranking and selection for pairwise comparison ⋮ An efficient simulation procedure for ranking the top simulated designs in the presence of stochastic constraints ⋮ Efficient simulation budget allocation for subset selection using regression metamodels ⋮ Ordinal Optimization with Computing Budget Allocation for Selecting an Optimal Subset ⋮ The Local Time Method for Targeting and Selection ⋮ Simulation Optimization for MRO Systems Operations

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