{"id":"https://openalex.org/W4241906590","doi":"https://doi.org/10.1109/wsc.2005.1574328","title":"Performance of Variance Updating Ranking and Selection Procedures","display_name":"Performance of Variance Updating Ranking and Selection Procedures","publication_year":2006,"publication_date":"2006-01-25","ids":{"openalex":"https://openalex.org/W4241906590","doi":"https://doi.org/10.1109/wsc.2005.1574328"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2005.1574328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2005.1574328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference, 2005.","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068605928","display_name":"G.J. Malone","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G.J. Malone","raw_affiliation_strings":["DRS Technologies, Palm Bay, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DRS Technologies, Palm Bay, FL, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063960763","display_name":"Seong\u2010Hee Kim","orcid":"https://orcid.org/0000-0001-9536-5755"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seong-Hee Kim","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061959956","display_name":"D. Goldsman","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Goldsman","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073430964","display_name":"D. Batur","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Batur","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3917,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67532089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"825","last_page":"832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13286","display_name":"Modeling and Simulation Systems","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.765995979309082},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.7641565799713135},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.7366974353790283},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6400021910667419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6050219535827637},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5855377316474915},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5163754224777222},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.49179723858833313},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.4870891571044922},{"id":"https://openalex.org/keywords/bernoulli-trial","display_name":"Bernoulli trial","score":0.4630591571331024},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.45772868394851685},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.4447990953922272},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4247530996799469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4070231020450592},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38920915126800537},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3803940713405609},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3625331521034241},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2581285238265991},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12521976232528687},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.11176830530166626}],"concepts":[{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.765995979309082},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.7641565799713135},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7366974353790283},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6400021910667419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050219535827637},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5855377316474915},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5163754224777222},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.49179723858833313},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.4870891571044922},{"id":"https://openalex.org/C46802686","wikidata":"https://www.wikidata.org/wiki/Q1077800","display_name":"Bernoulli trial","level":2,"score":0.4630591571331024},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.45772868394851685},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.4447990953922272},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4247530996799469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4070231020450592},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38920915126800537},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3803940713405609},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3625331521034241},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2581285238265991},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12521976232528687},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.11176830530166626},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2005.1574328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2005.1574328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W615239862","https://openalex.org/W1487332316","https://openalex.org/W1999541338","https://openalex.org/W2032736605","https://openalex.org/W2037728958","https://openalex.org/W2082718571","https://openalex.org/W2085300404","https://openalex.org/W2091512600","https://openalex.org/W2098060950","https://openalex.org/W2135243999","https://openalex.org/W2138011412","https://openalex.org/W2523722340","https://openalex.org/W3027327446","https://openalex.org/W6650560501","https://openalex.org/W6675028118"],"related_works":["https://openalex.org/W2050627475","https://openalex.org/W4366387587","https://openalex.org/W2151706800","https://openalex.org/W2151924611","https://openalex.org/W4324123865","https://openalex.org/W1993705380","https://openalex.org/W4301279896","https://openalex.org/W972852616","https://openalex.org/W2119820600","https://openalex.org/W2519992849"],"abstract_inverted_index":{"Kim":[0],"and":[1,43,116,139],"Nelson":[2],"(2005)":[3],"developed":[4],"two":[5],"indifference-zone":[6],"procedures":[7,75],"for":[8,76],"steady-state":[9,25,79],"simulation":[10],"where":[11],"the":[12,17,20,30,96,130,135,141],"goal":[13],"is":[14,44,52,60,92],"to":[15,46],"find":[16],"system":[18,113],"with":[19,95],"largest":[21],"or":[22],"smallest":[23],"expected":[24],"performance":[26],"measure.":[27],"One":[28],"of":[29,63,89,98],"procedures,":[31],"called":[32],"KN++,":[33],"updates":[34],"a":[35,87,112],"variance":[36],"estimate":[37],"as":[38],"more":[39],"observations":[40],"become":[41],"available":[42],"proven":[45],"be":[47,124],"asymptotically":[48,93],"valid":[49,94],"when":[50,109,133],"there":[51,59],"no":[53,61],"dependence":[54],"across":[55],"systems":[56,122],"(for":[57],"example,":[58],"use":[62,77,97],"common":[64,99],"random":[65,100],"numbers).":[66],"Their":[67],"procedure":[68],"exhibits":[69],"significant":[70],"improvement":[71],"over":[72],"other":[73],"existing":[74],"in":[78],"simulation.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84,103],"first":[85],"present":[86],"modification":[88],"KN++":[90,107],"that":[91],"numbers.":[101],"Then,":[102],"study":[104],"how":[105],"well":[106],"works":[108],"data":[110,120,136,142],"within":[111],"are":[114,137,143],"independent":[115],"identically":[117],"distributed,":[118],"but":[119],"between":[121],"may":[123],"positively":[125],"correlated.":[126],"Specific":[127],"applications":[128],"include":[129],"finding-the-best":[131],"problem":[132],"(i)":[134],"normal,":[138],"(ii)":[140],"Bernoulli.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
