Restricted subset selection procedures for simulation
Operations Research
A fully sequential procedure for indifference-zone selection in simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Comparing systems via stochastic simulation: an enhanced two-stage selection procedure
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation Budget Allocation for Further Enhancing theEfficiency of Ordinal Optimization
Discrete Event Dynamic Systems
New Two-Stage and Sequential Procedures for Selecting the Best Simulated System
Operations Research
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Using Ordinal Optimization Approach to Improve Efficiency of Selection Procedures
Discrete Event Dynamic Systems
Enhancing evolutionary algorithms with statistical selection procedures for simulation optimization
WSC '05 Proceedings of the 37th conference on Winter simulation
Selecting a Selection Procedure
Management Science
A multi-objective selection procedure of determining a Pareto set
Computers and Operations Research
Proceedings of the 40th Conference on Winter Simulation
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Two-stage selection procedures have been widely studied and applied in determining the required sample size (i.e., the number of replications or batches) for selecting the best of k systems and for selecting a subset. The Enhanced Two-Stage Selection procedure is a heuristic two-stage selection procedure that takes into account not only the variance of samples, but also the difference of sample means when determining the sample sizes. This paper discusses the use of the same technique to select a subset of size m that contains at least c of the v best of k systems. Numerical experiments indicate that the proposed sample size allocation strategy is superior to other methods in the literature.