{"id":"https://openalex.org/W4402353387","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650949","title":"An Approach Using BRKGA for Optimizing Convolutional Neural Network Architectures","display_name":"An Approach Using BRKGA for Optimizing Convolutional Neural Network Architectures","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353387","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650949"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650949","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035146427","display_name":"Andersson Alves da Silva","orcid":"https://orcid.org/0000-0003-4475-1191"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andersson A. Silva","raw_affiliation_strings":["Universidade Federal de Pernambuco (UFPE),Centro de Informática,Recife,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco (UFPE),Centro de Informática,Recife,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084400136","display_name":"Ricardo M. A. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo M. A. Silva","raw_affiliation_strings":["Universidade Federal de Pernambuco (UFPE),Centro de Informática,Recife,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco (UFPE),Centro de Informática,Recife,Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53636293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9983999729156494,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9941999912261963,"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":0.8013225793838501},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6637587547302246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42588362097740173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8013225793838501},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6637587547302246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42588362097740173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650949","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1994197834","https://openalex.org/W2055911634","https://openalex.org/W2060604129","https://openalex.org/W2112796928","https://openalex.org/W2153386665","https://openalex.org/W2345483369","https://openalex.org/W2543158573","https://openalex.org/W2811368807","https://openalex.org/W2947137917","https://openalex.org/W2962734882","https://openalex.org/W2963823251","https://openalex.org/W2963946985","https://openalex.org/W2964016673","https://openalex.org/W2983575492","https://openalex.org/W2999561309","https://openalex.org/W3133988528","https://openalex.org/W3168997536","https://openalex.org/W4287591554","https://openalex.org/W4377009415","https://openalex.org/W6638667902","https://openalex.org/W6764732640","https://openalex.org/W6768862568","https://openalex.org/W6786898723"],"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/W4293226380","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"This":[0,88],"study":[1],"addresses":[2],"the":[3,28,53,66,107],"intricate":[4],"challenge":[5],"of":[6,109],"optimizing":[7],"hyperparameters":[8],"for":[9,17,98],"Convolutional":[10],"Neural":[11],"Networks":[12],"(CNNs),":[13],"which":[14],"is":[15,43],"crucial":[16],"maximizing":[18],"their":[19],"performance":[20],"in":[21,50,65,84],"image":[22,72],"classification":[23,73],"tasks.":[24],"Amid":[25],"various":[26],"approaches,":[27],"Biased":[29],"Random-Key":[30],"Genetic":[31],"Algorithm":[32],"(BRKGA)":[33],"emerges":[34],"as":[35,92],"a":[36,93,103],"promising":[37],"alternative.":[38],"The":[39,75],"proposed":[40,76],"BRKGA-CNN":[41,57,77,91],"methodology":[42],"introduced":[44],"and":[45,68,95],"evaluated,":[46],"showcasing":[47],"its":[48,82],"efficacy":[49],"efficiently":[51],"navigating":[52],"complex":[54],"hyperparameter":[55,86,100],"space.":[56],"was":[58],"compared":[59],"with":[60],"three":[61],"competition":[62],"models":[63],"found":[64],"literature":[67],"tested":[69],"across":[70],"eight":[71],"datasets.":[74],"yielded":[78],"cutting-edge":[79],"results,":[80],"establishing":[81],"prominence":[83],"CNN":[85,99],"optimization.":[87],"research":[89],"positions":[90],"robust":[94],"efficient":[96],"tool":[97],"optimization,":[101],"offering":[102],"valuable":[104],"contribution":[105],"to":[106],"field":[108],"machine":[110],"learning.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}