{"id":"https://openalex.org/W3200961992","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533986","title":"Neural Architecture Search Based on Evolutionary Algorithms with Fitness Approximation","display_name":"Neural Architecture Search Based on Evolutionary Algorithms with Fitness Approximation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200961992","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533986","mag":"3200961992"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5043074622","display_name":"Chao Pan","orcid":"https://orcid.org/0000-0002-9275-7072"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Pan","raw_affiliation_strings":["Guangdong Key Laboratory of Brain-inspired Intelligent Computation, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Brain-inspired Intelligent Computation, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["Guangdong Key Laboratory of Brain-inspired Intelligent Computation, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Brain-inspired Intelligent Computation, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043074622"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":1.2582,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8388854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9988999962806702,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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":0.7621884942054749},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6946877241134644},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6177376508712769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5149989128112793},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.5147368907928467},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5145441889762878},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49911022186279297},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.49492377042770386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46265703439712524},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4598537087440491},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38483041524887085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12866920232772827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621884942054749},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6946877241134644},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6177376508712769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5149989128112793},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.5147368907928467},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5145441889762878},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49911022186279297},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.49492377042770386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46265703439712524},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4598537087440491},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38483041524887085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12866920232772827},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G3065577720","display_name":null,"funder_award_id":"2017ZT07X386","funder_id":"https://openalex.org/F4320333334","funder_display_name":"Guangdong Province Introduction of Innovative R&D Team"},{"id":"https://openalex.org/G5251748003","display_name":null,"funder_award_id":"2017KSYS008","funder_id":"https://openalex.org/F4320316333","funder_display_name":"Program for University Key Laboratory of Guangdong Province"},{"id":"https://openalex.org/G5814401916","display_name":null,"funder_award_id":"KQTD2016112514355531","funder_id":"https://openalex.org/F4320317337","funder_display_name":"Science and Technology Foundation of Shenzhen City"},{"id":"https://openalex.org/G8784863122","display_name":null,"funder_award_id":"2020B121201001","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320316333","display_name":"Program for University Key Laboratory of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320317337","display_name":"Science and Technology Foundation of Shenzhen City","ror":null},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320333334","display_name":"Guangdong Province Introduction of Innovative R&D Team","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1559956479","https://openalex.org/W1845402413","https://openalex.org/W1997600725","https://openalex.org/W2012451526","https://openalex.org/W2124290836","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2553303224","https://openalex.org/W2594529350","https://openalex.org/W2606006859","https://openalex.org/W2782417188","https://openalex.org/W2786699503","https://openalex.org/W2804452021","https://openalex.org/W2810075754","https://openalex.org/W2818275232","https://openalex.org/W2885311373","https://openalex.org/W2887063112","https://openalex.org/W2888429796","https://openalex.org/W2898514961","https://openalex.org/W2914071834","https://openalex.org/W2949264490","https://openalex.org/W2951104886","https://openalex.org/W2951245151","https://openalex.org/W2951886768","https://openalex.org/W2963446712","https://openalex.org/W2963778169","https://openalex.org/W2964212578","https://openalex.org/W2964294659","https://openalex.org/W2964515685","https://openalex.org/W2965658867","https://openalex.org/W2998931355","https://openalex.org/W2999270366","https://openalex.org/W3041574813","https://openalex.org/W3080443832","https://openalex.org/W3094801149","https://openalex.org/W3103697708","https://openalex.org/W3192682950","https://openalex.org/W4255158661","https://openalex.org/W4287725527","https://openalex.org/W4295185264","https://openalex.org/W4297778814","https://openalex.org/W4399647672","https://openalex.org/W6638701278","https://openalex.org/W6678191276","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6734593296","https://openalex.org/W6736497209","https://openalex.org/W6745614327","https://openalex.org/W6745728296","https://openalex.org/W6752515464","https://openalex.org/W6753278433","https://openalex.org/W6753701838","https://openalex.org/W6758527158","https://openalex.org/W6759402996","https://openalex.org/W6759828284","https://openalex.org/W6771859737","https://openalex.org/W6780197768","https://openalex.org/W6780658294","https://openalex.org/W6782095439","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W85101999","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W2802808995","https://openalex.org/W2593449396","https://openalex.org/W2780789525","https://openalex.org/W2787833928"],"abstract_inverted_index":{"Designing":[0],"advanced":[1],"neural":[2,25,44,69,90,109,133,142],"architectures":[3,110],"to":[4,37,40,89,96,111],"tackle":[5],"specific":[6],"tasks":[7],"involves":[8],"weeks":[9],"or":[10],"even":[11],"months":[12],"of":[13,33,66,108],"intensive":[14],"investigation":[15],"by":[16],"experts":[17],"with":[18],"rich":[19],"domain":[20],"knowledge.":[21],"In":[22,76],"recent":[23],"years,":[24],"architecture":[26,70,91,134],"search":[27,48,71,92,99,135],"(NAS)":[28],"has":[29],"attracted":[30],"the":[31,61,67,98,113,150,159],"interest":[32],"many":[34],"researchers":[35],"due":[36],"its":[38,74],"ability":[39],"automatically":[41],"design":[42],"efficient":[43],"architectures.":[45],"Among":[46],"different":[47],"strategies,":[49],"evolutionary":[50,68,84],"algorithms":[51,85,136],"have":[52],"achieved":[53],"significant":[54],"successes":[55],"as":[56],"derivative-free":[57],"optimization":[58],"algorithms.":[59],"However,":[60],"tremendous":[62],"computational":[63],"resource":[64],"consumption":[65],"dramatically":[72],"restricts":[73],"application.":[75],"this":[77,163],"paper,":[78],"we":[79],"explore":[80],"how":[81],"fitness":[82],"approximation-based":[83],"can":[86],"be":[87],"applied":[88],"and":[93,106,115,140,146,153],"propose":[94],"NAS-EA-FA":[95,117,122],"accelerate":[97],"process.":[100],"We":[101],"further":[102],"exploit":[103],"data":[104],"augmentation":[105],"diversity":[107],"enhance":[112],"algorithm,":[114],"present":[116],"V2.":[118],"Experiments":[119],"show":[120],"that":[121],"V2":[123],"is":[124,148,165],"at":[125,167],"least":[126],"five":[127],"times":[128],"faster":[129],"than":[130],"other":[131],"state-of-the-art":[132],"like":[137],"regularized":[138],"evolution":[139],"iterative":[141],"predictor":[143],"on":[144,156],"NASBench-101,":[145],"it":[147],"also":[149],"most":[151],"effective":[152],"stable":[154],"algorithm":[155],"NASBench-201.":[157],"All":[158],"code":[160],"used":[161],"in":[162],"paper":[164],"available":[166],"https://github.com/fzjcdt/NAS-EA-FA.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}