{"id":"https://openalex.org/W3187682281","doi":"https://doi.org/10.1109/tcds.2022.3179482","title":"Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation","display_name":"Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W3187682281","doi":"https://doi.org/10.1109/tcds.2022.3179482","mag":"3187682281"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2022.3179482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3179482","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","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/A5038215318","display_name":"Shangshang Yang","orcid":"https://orcid.org/0000-0003-0837-5424"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shangshang Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058755242","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-3487-5126"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Tian","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institute of Physical Science and Information Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institute of Physical Science and Information Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039480515","display_name":"Xiaoshu Xiang","orcid":"https://orcid.org/0000-0002-9107-1677"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshu Xiang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056135507","display_name":"Shichen Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichen Peng","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028634381","display_name":"Xingyi Zhang","orcid":"https://orcid.org/0000-0002-5052-000X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyi Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institute of Physical Science and Information Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institute of Physical Science and Information Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038215318"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":3.7232,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93801605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"1778","last_page":"1792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9984999895095825,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8231688141822815},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7702608108520508},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6395043730735779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5550101399421692},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5295606255531311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5057840347290039},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49444031715393066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8231688141822815},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7702608108520508},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6395043730735779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5550101399421692},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5295606255531311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5057840347290039},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49444031715393066},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2022.3179482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3179482","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1124769320","display_name":null,"funder_award_id":"61876123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1182606078","display_name":null,"funder_award_id":"U1804262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1591254444","display_name":null,"funder_award_id":"61822301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2004334719","display_name":null,"funder_award_id":"61906001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2089016108","display_name":null,"funder_award_id":"PAL-N201805","funder_id":"https://openalex.org/F4320335661","funder_display_name":"State Key Laboratory of Synthetical Automation for Process Industries"},{"id":"https://openalex.org/G2757623951","display_name":null,"funder_award_id":"U21A20512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3932071694","display_name":null,"funder_award_id":"1808085J06","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G61320532","display_name":null,"funder_award_id":"1908085QF271","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G6653374636","display_name":null,"funder_award_id":"XJ2019035","funder_id":"https://openalex.org/F4320323540","funder_display_name":"Society of Hong Kong Scholars"},{"id":"https://openalex.org/G800914696","display_name":null,"funder_award_id":"62136008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323540","display_name":"Society of Hong Kong Scholars","ror":"https://ror.org/03gffcv79"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335661","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":121,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1553373771","https://openalex.org/W1569788011","https://openalex.org/W1995562189","https://openalex.org/W2018764772","https://openalex.org/W2031232041","https://openalex.org/W2072153630","https://openalex.org/W2072584679","https://openalex.org/W2097117768","https://openalex.org/W2104492856","https://openalex.org/W2108598243","https://openalex.org/W2111174053","https://openalex.org/W2115167570","https://openalex.org/W2126105956","https://openalex.org/W2153654820","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2312205540","https://openalex.org/W2401231614","https://openalex.org/W2553303224","https://openalex.org/W2594529350","https://openalex.org/W2612445135","https://openalex.org/W2746314669","https://openalex.org/W2763090371","https://openalex.org/W2771751675","https://openalex.org/W2773706593","https://openalex.org/W2775524044","https://openalex.org/W2782417188","https://openalex.org/W2788853733","https://openalex.org/W2796265726","https://openalex.org/W2808938483","https://openalex.org/W2810075754","https://openalex.org/W2884001105","https://openalex.org/W2885311373","https://openalex.org/W2886834106","https://openalex.org/W2887063112","https://openalex.org/W2888429796","https://openalex.org/W2891627818","https://openalex.org/W2894237557","https://openalex.org/W2912521296","https://openalex.org/W2922904612","https://openalex.org/W2924220803","https://openalex.org/W2925665976","https://openalex.org/W2940149919","https://openalex.org/W2943530662","https://openalex.org/W2943913745","https://openalex.org/W2946739419","https://openalex.org/W2949264490","https://openalex.org/W2951104886","https://openalex.org/W2951886768","https://openalex.org/W2953308748","https://openalex.org/W2954234207","https://openalex.org/W2954826798","https://openalex.org/W2955051405","https://openalex.org/W2962700793","https://openalex.org/W2962746461","https://openalex.org/W2962750597","https://openalex.org/W2962847160","https://openalex.org/W2963125010","https://openalex.org/W2963137684","https://openalex.org/W2963446712","https://openalex.org/W2963536136","https://openalex.org/W2963778169","https://openalex.org/W2963946985","https://openalex.org/W2964024268","https://openalex.org/W2964081807","https://openalex.org/W2964137095","https://openalex.org/W2964145825","https://openalex.org/W2964212578","https://openalex.org/W2964294659","https://openalex.org/W2964331719","https://openalex.org/W2965658867","https://openalex.org/W2977501088","https://openalex.org/W2998289593","https://openalex.org/W3005735678","https://openalex.org/W3007887207","https://openalex.org/W3011800498","https://openalex.org/W3013135749","https://openalex.org/W3034357629","https://openalex.org/W3041360407","https://openalex.org/W3080443832","https://openalex.org/W3088798822","https://openalex.org/W3095248970","https://openalex.org/W3104506006","https://openalex.org/W3106250896","https://openalex.org/W3107599876","https://openalex.org/W3118608800","https://openalex.org/W3122504120","https://openalex.org/W3157561225","https://openalex.org/W3192682950","https://openalex.org/W3196840905","https://openalex.org/W4255158661","https://openalex.org/W4295185264","https://openalex.org/W4297775537","https://openalex.org/W4297778814","https://openalex.org/W4298052809","https://openalex.org/W4300687870","https://openalex.org/W6634168845","https://openalex.org/W6713582119","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6734593296","https://openalex.org/W6737664043","https://openalex.org/W6745614327","https://openalex.org/W6745728296","https://openalex.org/W6746200188","https://openalex.org/W6748587240","https://openalex.org/W6752515464","https://openalex.org/W6753278433","https://openalex.org/W6753303928","https://openalex.org/W6753701838","https://openalex.org/W6754719676","https://openalex.org/W6758657797","https://openalex.org/W6762376514","https://openalex.org/W6766225098","https://openalex.org/W6775119849","https://openalex.org/W6776046817","https://openalex.org/W6782095439","https://openalex.org/W6785652829","https://openalex.org/W6787972765","https://openalex.org/W6800515965"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W3095877357","https://openalex.org/W183202219","https://openalex.org/W2072565696","https://openalex.org/W10861731","https://openalex.org/W2050451745"],"abstract_inverted_index":{"Evolutionary":[0],"neural":[1,14,150,188],"architecture":[2,25,90,175,189],"search":[3,190],"(ENAS)":[4],"has":[5],"recently":[6],"received":[7],"increasing":[8],"attention":[9],"by":[10,22,27,87,92,113,130,161],"effectively":[11],"finding":[12],"high-quality":[13],"architectures,":[15],"which":[16,118,182],"however":[17],"consumes":[18],"high":[19,59],"computational":[20],"cost":[21,83,106],"training":[23,88,138],"the":[24,44,80,89,120,163,173,193],"encoded":[26,91],"each":[28,93],"individual":[29,34,81,94],"for":[30,52,95],"complete":[31],"epochs":[32],"in":[33,66],"evaluation.":[35],"Numerous":[36],"ENAS":[37,73],"approaches":[38,56],"have":[39],"been":[40],"developed":[41],"to":[42,57,147,156,171,185,196],"reduce":[43],"evaluation":[45,60,76,82,105,108],"cost,":[46],"but":[47],"it":[48],"is":[49,84,110,145,183],"often":[50],"difficult":[51],"most":[53,186],"of":[54,100,137],"these":[55],"achieve":[58],"accuracy.":[61],"To":[62],"address":[63],"this":[64,67],"issue,":[65],"article,":[68],"we":[69],"propose":[70],"an":[71],"accelerated":[72],"via":[74],"multifidelity":[75,116],"termed":[77],"MFENAS,":[78],"where":[79],"significantly":[85],"reduced":[86],"only":[96,167],"a":[97,115,141,177],"small":[98],"number":[99],"epochs.":[101,139],"The":[102],"balance":[103],"between":[104],"and":[107,198],"accuracy":[109],"well":[111],"maintained":[112],"suggesting":[114],"evaluation,":[117],"identifies":[119],"potentially":[121],"good":[122],"individuals":[123],"that":[124],"cannot":[125],"survive":[126],"from":[127,153],"previous":[128],"generations":[129],"integrating":[131],"multiple":[132],"evaluations":[133],"under":[134],"different":[135],"numbers":[136],"Besides,":[140],"population":[142],"initialization":[143],"strategy":[144],"devised":[146],"produce":[148],"diverse":[149],"architectures":[151,155,194],"varying":[152],"ResNet-like":[154],"Inception-like":[157],"ones.":[158],"As":[159],"shown":[160],"experiments,":[162],"proposed":[164],"MFENAS":[165],"takes":[166],"0.6":[168],"GPU":[169],"days":[170],"find":[172],"best":[174],"holding":[176],"2.39%":[178],"test":[179],"error":[180],"rate,":[181],"superior":[184],"state-of-the-art":[187],"approaches.":[191],"And":[192],"transferred":[195],"CIFAR-100":[197],"ImageNet":[199],"also":[200],"exhibit":[201],"competitive":[202],"performance.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
