@inproceedings{2020peinelhunWSC,
	Year = {2020},
	Author = {L. Pei and B. L. Nelson and S. R. Hunter},
	Title = {Evaluation of {bi-PASS} for parallel simulation optimization},
	Booktitle = {Proceedings of the 2020 Winter Simulation Conference},
	Editor = {{K.-H.} G. Bae and B. Feng and S. Kim and S. {Lazarova-Molnar} and Z. Zheng and T. Roeder and R. Thiesing},
	Publisher = {IEEE},
         Address = {Piscataway, NJ},
	doi = {10.1109/WSC48552.2020.9384116},
	pages = {2960--2971},
	url_Paper = {https://informs-sim.org/wsc20papers/301.pdf},
	abstract = {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.},
	keywords = {simulation optimization > single-objective > ranking and selection > parallel}}

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