{"id":"https://openalex.org/W3141722509","doi":"https://doi.org/10.1109/wsc.2011.6148118","title":"Best-subset selection procedure","display_name":"Best-subset selection procedure","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W3141722509","doi":"https://doi.org/10.1109/wsc.2011.6148118","mag":"3141722509"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2011.6148118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6148118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"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/A5101808099","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-0683-9857"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080098514","display_name":"Louis Luangkesorn","orcid":"https://orcid.org/0000-0002-6148-0015"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Louis Luangkesorn","raw_affiliation_strings":["Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991846","display_name":"Larry J. Shuman","orcid":"https://orcid.org/0000-0001-6884-7070"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larry J. Shuman","raw_affiliation_strings":["Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101808099"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.4097,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73549639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4310","last_page":"4318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7109294533729553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264821887016296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3021075129508972}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7109294533729553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264821887016296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3021075129508972}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2011.6148118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6148118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.1182","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.1182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc11papers/384.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1530998306","https://openalex.org/W1536615069","https://openalex.org/W1660550978","https://openalex.org/W2002312817","https://openalex.org/W2037728958","https://openalex.org/W2052514130","https://openalex.org/W2054222839","https://openalex.org/W2069209488","https://openalex.org/W2085300404","https://openalex.org/W2098060950","https://openalex.org/W2100987884","https://openalex.org/W2134759675","https://openalex.org/W2146879621","https://openalex.org/W2149315151","https://openalex.org/W2160860428","https://openalex.org/W3138977666","https://openalex.org/W4239751802","https://openalex.org/W4248052283","https://openalex.org/W4255907263","https://openalex.org/W6632035911","https://openalex.org/W6679915654"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"We":[0,48],"propose":[1],"an":[2],"indifference-zone":[3],"approach":[4],"for":[5],"a":[6,20,28,50],"ranking":[7],"and":[8,61],"selection":[9,52,68],"(R&S)":[10],"problem":[11],"with":[12,41,88],"the":[13,17,34,39,42,58,67,85],"goal":[14],"of":[15,23,30],"finding":[16],"best-subset":[18,51,87],"from":[19],"finite":[21],"number":[22],"competing":[24],"simulated":[25],"systems":[26,60],"given":[27],"level":[29],"correct-selection":[31],"probability.":[32,91],"Here":[33],"\u201cbest\u201d":[35],"system":[36,40],"refers":[37],"to":[38],"largest":[43],"or":[44],"smallest":[45],"performance":[46],"measures.":[47],"present":[49],"procedure":[53,80],"that":[54,78],"can":[55],"effectively":[56],"eliminate":[57],"non-competitive":[59],"return":[62],"only":[63],"those":[64],"alternatives":[65],"as":[66],"result":[69],"where":[70],"statistically":[71],"confident":[72],"conclusions":[73],"hold.":[74],"Numerical":[75],"experiments":[76],"document":[77],"our":[79],"works":[81],"well":[82],"by":[83],"selecting":[84],"correct":[86],"very":[89],"high":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
