{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T13:17:36Z","timestamp":1725455856441},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1109\/wsc.2014.7020206","type":"proceedings-article","created":{"date-parts":[[2015,1,27]],"date-time":"2015-01-27T15:30:56Z","timestamp":1422372656000},"page":"3785-3796","source":"Crossref","is-referenced-by-count":1,"title":["Asynchronous knowledge gradient policy for ranking and selection"],"prefix":"10.1109","author":[{"given":"Bogumil","family":"Kaminski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Przemyslaw","family":"Szufel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Simulation Modeling and Analysis","year":"2007","author":"law","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/0037549705058073"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2011.6148094"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/272991.272995"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/6462.6485"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2013.6721475"},{"key":"ref16","first-page":"553","article-title":"Modern generators of multiple streams of pseudo-random numbers","author":"pawlikowski","year":"2006","journal-title":"Proceedings of the International Mediterranean Modelling Multiconference"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1002\/9781118309858","author":"powell","year":"2012","journal-title":"Optimal Learning"},{"key":"ref18","article-title":"Useful bounds on the expected maximum of correlated normal random variables","author":"ross","year":"2003","journal-title":"Working paper 03W-004 Industrial and Systems Engineering"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-005-9010-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29737-3_51"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1287\/opre.49.5.732.10615"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ADPRL.2007.368181"},{"journal-title":"Knowledge-gradient Methods for Statistical Learning","year":"2009","author":"frazier","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF02136830"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1287\/deca.1100.0190"},{"journal-title":"Stochastic Simulation Optimization An Optimal Computing Budget Allocation","year":"2011","author":"chen","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2012.6426626"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.900656"}],"event":{"name":"2014 Winter Simulation Conference - (WSC 2014)","start":{"date-parts":[[2014,12,7]]},"location":"Savanah, GA, USA","end":{"date-parts":[[2014,12,10]]}},"container-title":["Proceedings of the Winter Simulation Conference 2014"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7002492\/7019868\/07020206.pdf?arnumber=7020206","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T04:25:45Z","timestamp":1498191945000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7020206\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/wsc.2014.7020206","relation":{},"subject":[],"published":{"date-parts":[[2014,12]]}}}