{"id":"https://openalex.org/W1974898730","doi":"https://doi.org/10.1109/tsmc.2014.2383997","title":"Optimal Budget Allocation Rule for Simulation Optimization Using Quadratic Regression in Partitioned Domains","display_name":"Optimal Budget Allocation Rule for Simulation Optimization Using Quadratic Regression in Partitioned Domains","publication_year":2015,"publication_date":"2015-01-06","ids":{"openalex":"https://openalex.org/W1974898730","doi":"https://doi.org/10.1109/tsmc.2014.2383997","mag":"1974898730"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2014.2383997","doi":"https://doi.org/10.1109/tsmc.2014.2383997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2014.2383997","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-b","fnege-2","jufo-2","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},"volume":null,"type":"article","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/A5066361885","display_name":"Hui Xiao","orcid":"https://orcid.org/0000-0003-0666-3633","observed_orcids":["https://orcid.org/0000-0003-0666-3633"]},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xiao","raw_affiliation_strings":["School of Statistics, Southwestern University of Finance and Economics, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007751109","display_name":"Loo Hay Lee","orcid":"https://orcid.org/0000-0001-9359-0027","observed_orcids":["https://orcid.org/0000-0001-9359-0027"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Loo Hay Lee","raw_affiliation_strings":["Department of Industrial and Systems Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017945484","display_name":"Chun\u2010Hung Chen","orcid":"https://orcid.org/0000-0001-7824-1814","observed_orcids":["https://orcid.org/0000-0001-7824-1814","https://orcid.org/0000-0003-1525-6634"]},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Hung Chen","raw_affiliation_strings":["Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.1581,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93386237,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"45","issue":"7","first_page":"1047","last_page":"1062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9984999895095825,"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":0.9984999895095825,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.00019999999494757503,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/simulation-budget-allocation","display_name":"simulation budget allocation","score":0.9340000152587891},{"id":"https://openalex.org/keywords/ranking-and-selection","display_name":"ranking and selection","score":0.8949999809265137},{"id":"https://openalex.org/keywords/quadratic-regression","display_name":"quadratic regression","score":0.7639999985694885},{"id":"https://openalex.org/keywords/large-deviations","display_name":"large deviations","score":0.8949999809265137},{"id":"https://openalex.org/keywords/response-surface","display_name":"response surface","score":0.5410000085830688},{"id":"https://openalex.org/keywords/simulation-optimization","display_name":"simulation-based optimization","score":0.8230000138282776}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6978741884231567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248069405555725},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5610746145248413},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5365630984306335},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4974069893360138},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.4874146282672882},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4725477397441864},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4610743522644043},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.43338045477867126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26964402198791504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09122097492218018},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2014.2383997","doi":"https://doi.org/10.1109/tsmc.2014.2383997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2014.2383997","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-b","fnege-2","jufo-2","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G196352833","display_name":null,"funder_award_id":"NSC-100-2218-E-002-027-MY3","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"},{"id":"https://openalex.org/G4810259741","display_name":"TAS::89 0227::TAS RECOVERY ACT - NEW APPROACHES FOR RARE-EVENT SIMULATION AND DECISION MAKING.","funder_award_id":"DESC0002223","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7862842458","display_name":"Stochastic Simulation Optimization: An Optimized Approach","funder_award_id":"1233376","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8255797795","display_name":"Using GIS and Simulation for Analyzing Optimal Geographical Boundaries and Organ","funder_award_id":"1r21dk088368-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W647000994","https://openalex.org/W1501203061","https://openalex.org/W1536615069","https://openalex.org/W1558516341","https://openalex.org/W1866842065","https://openalex.org/W1965952982","https://openalex.org/W1968491383","https://openalex.org/W1972357824","https://openalex.org/W1979927021","https://openalex.org/W1993843642","https://openalex.org/W2006258746","https://openalex.org/W2009057953","https://openalex.org/W2021093449","https://openalex.org/W2024417542","https://openalex.org/W2029376565","https://openalex.org/W2037728958","https://openalex.org/W2040174083","https://openalex.org/W2042332971","https://openalex.org/W2050760828","https://openalex.org/W2052514130","https://openalex.org/W2055486310","https://openalex.org/W2059120410","https://openalex.org/W2065842544","https://openalex.org/W2066933614","https://openalex.org/W2075637591","https://openalex.org/W2080811499","https://openalex.org/W2085300404","https://openalex.org/W2095542589","https://openalex.org/W2098060950","https://openalex.org/W2100851059","https://openalex.org/W2102201073","https://openalex.org/W2107563734","https://openalex.org/W2117674213","https://openalex.org/W2122470810","https://openalex.org/W2124370278","https://openalex.org/W2137884778","https://openalex.org/W2138082802","https://openalex.org/W2142238123","https://openalex.org/W2142858180","https://openalex.org/W2146879621","https://openalex.org/W2160341651","https://openalex.org/W2163286960","https://openalex.org/W2325211568","https://openalex.org/W2610216665","https://openalex.org/W2797328151","https://openalex.org/W2963401353","https://openalex.org/W3132114415","https://openalex.org/W3142383263","https://openalex.org/W3148687029","https://openalex.org/W3159255707","https://openalex.org/W4212920552","https://openalex.org/W4229516553","https://openalex.org/W4230925129","https://openalex.org/W4237029372","https://openalex.org/W4254772338","https://openalex.org/W4254845134","https://openalex.org/W4301258660"],"related_works":["https://openalex.org/W1972357824","https://openalex.org/W2941322302","https://openalex.org/W7110614930","https://openalex.org/W1985880417","https://openalex.org/W4386903039","https://openalex.org/W2794717456","https://openalex.org/W6884880244","https://openalex.org/W2040174083","https://openalex.org/W2925753439","https://openalex.org/W4230476912"],"abstract_inverted_index":{"Ranking":[0],"and":[1,50,107],"selection":[2],"procedures":[3],"have":[4],"been":[5],"successfully":[6],"applied":[7],"to":[8,25],"enhance":[9],"the":[10,20,27,32,41,58,61,68,80,84,89,117,120],"efficiency":[11],"of":[12,43,60,82,86,119],"simulation":[13,28,95,122],"in":[14,64,101],"recent":[15],"years.":[16],"To":[17],"further":[18],"improve":[19],"efficiency,":[21],"one":[22],"approach":[23],"is":[24,45,55,77,99],"incorporate":[26],"output":[29],"from":[30],"across":[31],"domain":[33,42],"into":[34,47],"some":[35,110],"response":[36],"surfaces.":[37],"In":[38],"this":[39],"paper,":[40],"interest":[44],"divided":[46],"adjacent":[48],"partitions":[49],"a":[51,102],"quadratic":[52],"regression":[53],"function":[54,63],"assumed":[56],"for":[57],"mean":[59],"underlying":[62],"each":[65],"partition.":[66],"Using":[67],"large":[69],"deviation":[70],"theory,":[71],"an":[72],"asymptotically":[73],"optimal":[74],"allocation":[75,97,105,112,124],"rule":[76,98],"proposed":[78,94,121],"with":[79,109],"objective":[81],"maximizing":[83],"probability":[85],"correctly":[87],"selecting":[88],"best":[90],"design":[91],"point.":[92],"The":[93],"budget":[96,123],"implemented":[100],"heuristic":[103],"sequential":[104],"algorithm":[106],"compared":[108],"existing":[111],"rules.":[113],"Numerical":[114],"results":[115],"illustrate":[116],"effectiveness":[118],"rule.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
