Statistical screening, selection, and multiple comparison procedures in computer simulation
Proceedings of the 30th conference on Winter simulation
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)
Selecting the best stochastic system for large scale problems in DEDS
Mathematics and Computers in Simulation
Selecting the best system: selecting the best system: theory and methods
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
A new perspective on feasibility determination
Proceedings of the 40th Conference on Winter Simulation
Guessing preferences: a new approach to multi-attribute ranking and selection
Proceedings of the Winter Simulation Conference
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In this study, we mainly explore how to optimally allocate the computing budget for a multi-objective ranking and selection (MORS) problem when the measure of selection quality is the expected opportunity cost (OC). We define OC incurred to both the observed Pareto and non-Pareto set, and present a sequential procedure to allocate the replications among the designs according to some asymptotic allocation rules. Numerical analysis shows that the proposed solution framework works well when compared with other algorithms in terms of its capability of identifying the true Pareto set.