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. Paper doi abstract bibtex 7 downloads 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.
@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}}
Downloads: 7
{"_id":"cYgRK6HpZMzoo5pip","bibbaseid":"pei-nelson-hunter-evaluationofbipassforparallelsimulationoptimization-2020","authorIDs":["kYiaRyZRtgDmgu88o"],"author_short":["Pei, L.","Nelson, B. L.","Hunter, S. R."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","year":"2020","author":[{"firstnames":["L."],"propositions":[],"lastnames":["Pei"],"suffixes":[]},{"firstnames":["B.","L."],"propositions":[],"lastnames":["Nelson"],"suffixes":[]},{"firstnames":["S.","R."],"propositions":[],"lastnames":["Hunter"],"suffixes":[]}],"title":"Evaluation of bi-PASS for parallel simulation optimization","booktitle":"Proceedings of the 2020 Winter Simulation Conference","editor":[{"firstnames":["K.-H.","G."],"propositions":[],"lastnames":["Bae"],"suffixes":[]},{"firstnames":["B."],"propositions":[],"lastnames":["Feng"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Kim"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Lazarova-Molnar"],"suffixes":[]},{"firstnames":["Z."],"propositions":[],"lastnames":["Zheng"],"suffixes":[]},{"firstnames":["T."],"propositions":[],"lastnames":["Roeder"],"suffixes":[]},{"firstnames":["R."],"propositions":[],"lastnames":["Thiesing"],"suffixes":[]}],"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","bibtex":"@inproceedings{2020peinelhunWSC,\n\tYear = {2020},\n\tAuthor = {L. Pei and B. L. Nelson and S. R. Hunter},\n\tTitle = {Evaluation of {bi-PASS} for parallel simulation optimization},\n\tBooktitle = {Proceedings of the 2020 Winter Simulation Conference},\n\tEditor = {{K.-H.} G. Bae and B. Feng and S. Kim and S. {Lazarova-Molnar} and Z. Zheng and T. Roeder and R. Thiesing},\n\tPublisher = {IEEE},\n Address = {Piscataway, NJ},\n\tdoi = {10.1109/WSC48552.2020.9384116},\n\tpages = {2960--2971},\n\turl_Paper = {https://informs-sim.org/wsc20papers/301.pdf},\n\tabstract = {Cheap parallel computing has greatly extended the reach of ranking \\& selection (R\\&S) for simulation optimization. In this paper we present\nan 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.},\n\tkeywords = {simulation optimization > single-objective > ranking and selection > parallel}}\n\n","author_short":["Pei, L.","Nelson, B. L.","Hunter, S. R."],"editor_short":["Bae, K. G.","Feng, B.","Kim, S.","Lazarova-Molnar, S.","Zheng, Z.","Roeder, T.","Thiesing, R."],"key":"2020peinelhunWSC","id":"2020peinelhunWSC","bibbaseid":"pei-nelson-hunter-evaluationofbipassforparallelsimulationoptimization-2020","role":"author","urls":{" paper":"https://informs-sim.org/wsc20papers/301.pdf"},"keyword":["simulation optimization > single-objective > ranking and selection > parallel"],"metadata":{"authorlinks":{"hunter, s":"https://web.ics.purdue.edu/~hunter63/"}},"downloads":7},"bibtype":"inproceedings","biburl":"http://web.ics.purdue.edu/~hunter63/PAPERS/srhunterweb.bib","creationDate":"2020-09-20T20:45:45.401Z","downloads":7,"keywords":["simulation optimization > single-objective > ranking and selection > parallel"],"search_terms":["evaluation","pass","parallel","simulation","optimization","pei","nelson","hunter"],"title":"Evaluation of bi-PASS for parallel simulation optimization","year":2020,"dataSources":["ZEwmdExPMCtzAbo22","PkcXzWbdqPvM6bmCx"]}