{"id":"https://openalex.org/W2327828747","doi":"https://doi.org/10.1109/tase.2015.2450535","title":"Incorporation of Optimal Computing Budget Allocation for Ordinal Optimization Into Learning Automata","display_name":"Incorporation of Optimal Computing Budget Allocation for Ordinal Optimization Into Learning Automata","publication_year":2015,"publication_date":"2015-07-23","ids":{"openalex":"https://openalex.org/W2327828747","doi":"https://doi.org/10.1109/tase.2015.2450535","mag":"2327828747"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2015.2450535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2015.2450535","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Automation Science and Engineering","raw_type":"journal-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/A5100648251","display_name":"Junqi Zhang","orcid":"https://orcid.org/0000-0002-4465-5880"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junqi Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Collaborative Innovation Center of E-Commerce Transactions and Information Services, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Collaborative Innovation Center of E-Commerce Transactions and Information Services, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089338846","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0002-3440-1596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Collaborative Innovation Center of E-Commerce Transactions and Information Services, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Collaborative Innovation Center of E-Commerce Transactions and Information Services, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044516611","display_name":"Di Zang","orcid":"https://orcid.org/0000-0003-4869-2715"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Zang","raw_affiliation_strings":["Department of Computer Science and Technology, Collaborative Innovation Center of E-Commerce Transactions and Information Services, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Collaborative Innovation Center of E-Commerce Transactions and Information Services, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100648251"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6565,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97081775,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"2","first_page":"1008","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7328242063522339},{"id":"https://openalex.org/keywords/learning-automata","display_name":"Learning automata","score":0.6713100075721741},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6503452062606812},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5870077610015869},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5554543137550354},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.5318892598152161},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.5280504822731018},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.4616950750350952},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4258451461791992},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4250933527946472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2447381317615509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17850050330162048},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15422004461288452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11454299092292786},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.10611197352409363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328242063522339},{"id":"https://openalex.org/C2776807809","wikidata":"https://www.wikidata.org/wiki/Q6510160","display_name":"Learning automata","level":3,"score":0.6713100075721741},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6503452062606812},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5870077610015869},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5554543137550354},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.5318892598152161},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.5280504822731018},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.4616950750350952},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4258451461791992},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4250933527946472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2447381317615509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17850050330162048},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15422004461288452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11454299092292786},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.10611197352409363},{"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/C133425853","wikidata":"https://www.wikidata.org/wiki/Q60571","display_name":"Neoclassical economics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2015.2450535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2015.2450535","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W81439963","https://openalex.org/W140232297","https://openalex.org/W161320033","https://openalex.org/W208019965","https://openalex.org/W1495607354","https://openalex.org/W1516020365","https://openalex.org/W1536615069","https://openalex.org/W1538558539","https://openalex.org/W1543158313","https://openalex.org/W1575017126","https://openalex.org/W1698608285","https://openalex.org/W1964390230","https://openalex.org/W1976701173","https://openalex.org/W1979406754","https://openalex.org/W1987084576","https://openalex.org/W1996494912","https://openalex.org/W2001012564","https://openalex.org/W2001771035","https://openalex.org/W2006445851","https://openalex.org/W2009035664","https://openalex.org/W2015555077","https://openalex.org/W2017334681","https://openalex.org/W2023472430","https://openalex.org/W2028744244","https://openalex.org/W2032587104","https://openalex.org/W2055940878","https://openalex.org/W2064018461","https://openalex.org/W2070441373","https://openalex.org/W2073262880","https://openalex.org/W2081996925","https://openalex.org/W2089046812","https://openalex.org/W2098631417","https://openalex.org/W2104433301","https://openalex.org/W2108008261","https://openalex.org/W2108540055","https://openalex.org/W2109906979","https://openalex.org/W2115663543","https://openalex.org/W2122132759","https://openalex.org/W2122410182","https://openalex.org/W2124370278","https://openalex.org/W2129968541","https://openalex.org/W2136345626","https://openalex.org/W2138041254","https://openalex.org/W2138914910","https://openalex.org/W2152324445","https://openalex.org/W2158832545","https://openalex.org/W2160575156","https://openalex.org/W2164823136","https://openalex.org/W2169378929","https://openalex.org/W2247053420","https://openalex.org/W2407658930","https://openalex.org/W2623293810","https://openalex.org/W3106282232","https://openalex.org/W4237029372","https://openalex.org/W4251961937","https://openalex.org/W4285719527","https://openalex.org/W6603307390","https://openalex.org/W6629590321","https://openalex.org/W6634506789"],"related_works":["https://openalex.org/W1598235864","https://openalex.org/W2352317221","https://openalex.org/W2489338148","https://openalex.org/W2124961391","https://openalex.org/W576785828","https://openalex.org/W2613833673","https://openalex.org/W4388511637","https://openalex.org/W2074131991","https://openalex.org/W2733919410","https://openalex.org/W2327828747"],"abstract_inverted_index":{"A":[0,150],"learning":[1,151,274],"automaton":[2,152],"(LA)":[3,153],"is":[4,141],"a":[5,48,84,128,198],"powerful":[6],"tool":[7],"for":[8,98,224],"reinforcement":[9],"learning.":[10],"Its":[11],"action":[12,60,65,95,174,216,240],"probability":[13,66,96,133,175,217,241,252],"vector":[14,97,106,176,242],"plays":[15],"two":[16,43],"roles:":[17],"1)":[18],"deciding":[19],"when":[20],"it":[21,27,111],"converges,":[22],"i.e.,":[23],"total":[24],"computing":[25,33,51,99,117,125,230,246],"budget":[26,34,52,70,100,118,126,231,247],"has":[28],"used,":[29],"and":[30,113,169,219,227,243],"2)":[31],"allocating":[32],"among":[35],"actions":[36],"to":[37,47,55,62,108,120,186,213,249,279],"identify":[38,74],"the":[39,50,56,75,91,122,132,136,180,184,222,229,239,251,255,261,268,273],"optimal":[40,59,77,116,138,245,257],"one.":[41],"These":[42],"intertwined":[44],"roles":[45],"lead":[46],"problem:":[49],"mostly":[53],"goes":[54],"currently":[57],"estimated":[58],"due":[61],"its":[63,94,145,173,188],"high":[64],"regardless":[67],"whether":[68],"such":[69,105],"allocation":[71,119,123,248],"can":[72],"help":[73],"true":[76,137,256],"one":[78],"or":[79],"not.":[80],"This":[81,233],"work":[82,234],"proposes":[83],"new":[85],"class":[86],"of":[87,93,124,134,253],"LA":[88,270],"that":[89,130],"avoids":[90],"use":[92,104,221],"allocation.":[101],"Instead":[102],"we":[103],"only":[107],"determine":[109],"if":[110],"converges":[112],"then":[114,220],"employ":[115,211],"accomplish":[121],"in":[127,161,177,196,264],"way":[129],"maximizes":[131],"identifying":[135],"actions.":[139],"\u03b5-optimality":[140],"proven.":[142],"Simulations":[143],"verify":[144],"advantages":[146],"over":[147],"existing":[148,208],"algorithms.":[149],"represents":[154],"an":[155,193],"important":[156],"leaning":[157],"mechanism":[158],"with":[159,179,260],"applications":[160],"automated":[162],"system":[163],"design,":[164],"biological":[165],"systems,":[166],"computer":[167],"vision,":[168],"transportation.":[170],"It":[171,190],"updates":[172],"accordance":[178],"inputs":[181],"received":[182],"from":[183,238,277],"environment":[185],"improve":[187],"performance.":[189],"acts":[191],"as":[192,200,202],"adaptive":[194],"controller":[195],"modeling":[197],"process":[199],"well":[201],"generating":[203],"appropriate":[204],"control":[205],"signals.":[206],"The":[207],"LAs":[209],"simply":[210],"heuristics":[212],"update":[214],"their":[215],"vectors":[218,223],"ordinal":[225,236],"optimization":[226,237],"determining":[228],"size.":[232],"separates":[235],"introduces":[244],"maximize":[250],"selecting":[254],"action.":[258],"Compared":[259],"state-of-the-art":[262],"methods":[263],"five":[265],"popular":[266],"environments,":[267],"proposed":[269],"speeds":[271],"up":[272],"efficiency":[275],"ranging":[276],"10.93%":[278],"65.94%.":[280]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
