Evaluation of bi-PASS for parallel simulation optimization. Pei, L., Nelson, B. L., & Hunter, S. R. In Bae, K. G., Feng, B., Kim, S., Lazarova-Molnar, S., Zheng, Z., Roeder, T., & Thiesing, R., editors, Proceedings of the 2020 Winter Simulation Conference, pages 2960–2971, Piscataway, NJ, 2020. IEEE.
Evaluation of bi-PASS for parallel simulation optimization [pdf]Paper  doi  abstract   bibtex   
Cheap parallel computing has greatly extended the reach of ranking & selection (R&S) for simulation optimization. In this paper we present an evaluation of bi-PASS, a R&S procedure created specifically for parallel implementation and very large numbers of system designs. We compare bi-PASS to the state-of-the-art Good Selection Procedure and an easy-to-implement subset selection procedure. This is one of the few papers to consider both computational and statistical comparison of parallel R&S procedures.

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