{"id":"https://openalex.org/W3015176413","doi":"https://doi.org/10.1080/24725854.2020.1748771","title":"A budget allocation strategy minimizing the sample set quantile for initial experimental design","display_name":"A budget allocation strategy minimizing the sample set quantile for initial experimental design","publication_year":2020,"publication_date":"2020-03-31","ids":{"openalex":"https://openalex.org/W3015176413","doi":"https://doi.org/10.1080/24725854.2020.1748771","mag":"3015176413"},"language":"en","primary_location":{"id":"doi:10.1080/24725854.2020.1748771","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2020.1748771","pdf_url":null,"source":{"id":"https://openalex.org/S4210225672","display_name":"IISE Transactions","issn_l":"2472-5854","issn":["2472-5854","2472-5862"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IISE Transactions","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11311/1137489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043980703","display_name":"Ziwei Lin","orcid":"https://orcid.org/0000-0002-9732-6415"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["CN","IT"],"is_corresponding":false,"raw_author_name":"Ziwei Lin","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, P.R. China;","Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, P.R. China;","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044086454","display_name":"Andr\u00e9a Matta","orcid":"https://orcid.org/0000-0003-3902-2007"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Matta","raw_affiliation_strings":["Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054008223","display_name":"Shichang Du","orcid":"https://orcid.org/0000-0003-2408-722X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichang Du","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, P.R. China;"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, P.R. China;","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044086454"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.5774,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72425194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"53","issue":"1","first_page":"39","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9990000128746033,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.9980000257492065,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7605584263801575},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6697942018508911},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.649703860282898},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5888770818710327},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.570728600025177},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5529226064682007},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5334498882293701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5300455093383789},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5074202418327332},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47465234994888306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32981613278388977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2971717119216919},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15057483315467834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1060124933719635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0938144326210022}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7605584263801575},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6697942018508911},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.649703860282898},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5888770818710327},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.570728600025177},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5529226064682007},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5334498882293701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5300455093383789},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5074202418327332},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47465234994888306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32981613278388977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2971717119216919},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15057483315467834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1060124933719635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0938144326210022},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/24725854.2020.1748771","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2020.1748771","pdf_url":null,"source":{"id":"https://openalex.org/S4210225672","display_name":"IISE Transactions","issn_l":"2472-5854","issn":["2472-5854","2472-5862"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IISE Transactions","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:uiiexx:v:53:y:2021:i:1:p:39-57","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/24725854.2020.1748771","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:re.public.polimi.it:11311/1137489","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1137489","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:re.public.polimi.it:11311/1137489","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1137489","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W588098693","https://openalex.org/W630732584","https://openalex.org/W1510052597","https://openalex.org/W1536615069","https://openalex.org/W1577352482","https://openalex.org/W1826740954","https://openalex.org/W1968686444","https://openalex.org/W1970176495","https://openalex.org/W1973449924","https://openalex.org/W2009453719","https://openalex.org/W2022637272","https://openalex.org/W2032810853","https://openalex.org/W2038669746","https://openalex.org/W2039522160","https://openalex.org/W2049877722","https://openalex.org/W2053934160","https://openalex.org/W2057285547","https://openalex.org/W2068395502","https://openalex.org/W2068696225","https://openalex.org/W2082295184","https://openalex.org/W2082555634","https://openalex.org/W2082754320","https://openalex.org/W2084993914","https://openalex.org/W2095405940","https://openalex.org/W2104726122","https://openalex.org/W2121863487","https://openalex.org/W2132918165","https://openalex.org/W2146879621","https://openalex.org/W2151382649","https://openalex.org/W2152195021","https://openalex.org/W2155927283","https://openalex.org/W2162745921","https://openalex.org/W2166827312","https://openalex.org/W2168405694","https://openalex.org/W2233997862","https://openalex.org/W2299467264","https://openalex.org/W2344585715","https://openalex.org/W2397089707","https://openalex.org/W2473526392","https://openalex.org/W2573260377","https://openalex.org/W2787523326","https://openalex.org/W2801336698","https://openalex.org/W2914238450","https://openalex.org/W2963007936","https://openalex.org/W3038012859","https://openalex.org/W4206547457","https://openalex.org/W4237151101","https://openalex.org/W4240371190","https://openalex.org/W4248892062","https://openalex.org/W4249753629"],"related_works":["https://openalex.org/W1488761988","https://openalex.org/W2044551864","https://openalex.org/W2047938026","https://openalex.org/W1572557500","https://openalex.org/W4390690393","https://openalex.org/W3124946120","https://openalex.org/W2585269888","https://openalex.org/W3132003399","https://openalex.org/W2005776175","https://openalex.org/W2042102171"],"abstract_inverted_index":{"The":[0,20,92,112,144,154,181],"increased":[1],"complexity":[2],"of":[3,9,22,94,102,120,147],"manufacturing":[4],"systems":[5],"makes":[6],"the":[7,10,44,60,89,95,100,103,108,121,131,141,148,187],"acquisition":[8],"system":[11],"performance":[12,146],"estimate":[13],"a":[14,76,118],"black-box":[15,24],"procedure":[16],"(e.g.,":[17],"simulation":[18],"tools).":[19],"efficiency":[21],"most":[23,35],"optimization":[25,61],"algorithms":[26],"is":[27,97,115,133,151,168,189],"affected":[28],"significantly":[29],"by":[30],"initial":[31,90],"designs":[32],"(populations).":[33],"In":[34],"population":[36,51],"initializers,":[37],"points":[38],"are":[39,65,126,163],"spread":[40],"out":[41],"to":[42,57,79,98,135,191],"explore":[43],"entire":[45],"domain,":[46],"e.g.,":[47],"space-filling":[48],"designs.":[49],"Some":[50],"initializers":[52],"also":[53,184],"consider":[54],"exploitation":[55],"procedures":[56],"speed":[58],"up":[59],"process.":[62],"However,":[63],"they":[64],"either":[66],"application-dependent":[67],"or":[68],"require":[69],"an":[70,82,165],"additional":[71,83],"budget.":[72],"This":[73],"article":[74],"proposes":[75],"generic":[77],"method":[78,96,114,150,188],"generate,":[80],"without":[81],"budget,":[84],"several":[85],"good":[86],"solutions":[87,125,173],"in":[88,107,170],"design.":[91],"aim":[93],"optimize":[99],"quantile":[101],"objective":[104],"function":[105],"values":[106],"generated":[109,169],"sample":[110],"set.":[111],"proposed":[113,149],"based":[116,139],"on":[117,140],"clustering":[119,161,193],"solution":[122],"space;":[123],"feasible":[124],"clustered":[127],"into":[128],"groups":[129],"and":[130],"budget":[132],"allocated":[134],"each":[136],"group":[137],"dynamically":[138],"observed":[142],"information.":[143],"asymptotic":[145],"analyzed":[152],"theoretically.":[153],"numerical":[155,182],"results":[156,183],"show":[157,185],"that,":[158],"if":[159],"proper":[160],"rules":[162],"applied,":[164],"unbalanced":[166],"design":[167],"which":[171],"promising":[172],"have":[174],"higher":[175],"sampling":[176],"probabilities":[177],"than":[178],"non-promising":[179],"solutions.":[180],"that":[186],"robust":[190],"wrong":[192],"rules.":[194]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}