{"id":"https://openalex.org/W4387006068","doi":"https://doi.org/10.1109/cec53210.2023.10254101","title":"cudaBRKGA-CNN: An Approach for Optimizing Convolutional Neural Network Architectures","display_name":"cudaBRKGA-CNN: An Approach for Optimizing Convolutional Neural Network Architectures","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4387006068","doi":"https://doi.org/10.1109/cec53210.2023.10254101"},"language":"en","primary_location":{"id":"doi:10.1109/cec53210.2023.10254101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec53210.2023.10254101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Congress on Evolutionary Computation (CEC)","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/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":true,"raw_author_name":"Andersson A. Da Silva","raw_affiliation_strings":["Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","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":["Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104173421","display_name":"Amanda S. Xavier","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":"Amanda S. Xavier","raw_affiliation_strings":["Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009574728","display_name":"Thiago Dias Bispo","orcid":"https://orcid.org/0000-0002-8588-0080"},"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":"Thiago D. Bispo","raw_affiliation_strings":["Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pernambuco,Centro de Informática,Recife,PE,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045643526","display_name":"Geraldo Robson Mateus","orcid":"https://orcid.org/0000-0002-7238-0714"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Geraldo R. Mateus","raw_affiliation_strings":["Federal University of Minas Gerais,Department of Computer Science,Belo Horizonte,MG,Brazil","Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais,Department of Computer Science,Belo Horizonte,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029261812","display_name":"Maur\u00edcio G. C. Resende","orcid":"https://orcid.org/0000-0001-7462-6207"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mauricio G. C. Resende","raw_affiliation_strings":["University of Washington,Industrial and Systems Engineering,Seattle,WA,USA","Industrial and Systems Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,Industrial and Systems Engineering,Seattle,WA,USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Industrial and Systems Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035146427"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11681667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","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":1.0,"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":1.0,"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/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/T12676","display_name":"Machine Learning and ELM","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.882968544960022},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8373751640319824},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7673166394233704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792149305343628},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.503680408000946},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49428224563598633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47824469208717346},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4641944169998169},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4569760262966156},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.43801388144493103},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.22075754404067993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.882968544960022},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8373751640319824},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7673166394233704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792149305343628},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.503680408000946},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49428224563598633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47824469208717346},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4641944169998169},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4569760262966156},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.43801388144493103},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.22075754404067993},{"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/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec53210.2023.10254101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec53210.2023.10254101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2092985495","https://openalex.org/W2112796928","https://openalex.org/W2147800946","https://openalex.org/W2153386665","https://openalex.org/W2543158573","https://openalex.org/W2606006859","https://openalex.org/W2618530766","https://openalex.org/W2750384547","https://openalex.org/W2897188827","https://openalex.org/W2947137917","https://openalex.org/W2962734882","https://openalex.org/W2962949934","https://openalex.org/W2963946985","https://openalex.org/W2964016673","https://openalex.org/W2983575492","https://openalex.org/W3012330071","https://openalex.org/W3118485316","https://openalex.org/W3168997536","https://openalex.org/W3212202572","https://openalex.org/W4287591554","https://openalex.org/W6638667902","https://openalex.org/W6688386640"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4387850423"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"approach":[4],"based":[5],"on":[6],"the":[7,72,89,116],"Biased":[8],"Random-Key":[9],"Genetic":[10],"Algorithm":[11],"(BRKGA)":[12],"metaheuristic":[13],"to":[14,34],"optimize":[15],"hyperparameters":[16,65],"of":[17,74,98],"Convolutional":[18],"Neural":[19],"Network":[20],"(CNN)":[21],"architectures.":[22],"We":[23,70],"developed":[24,58],"a":[25,40,59],"Default":[26],"version":[27,41],"for":[28,42,63],"computers":[29],"that":[30,61],"only":[31],"have":[32],"access":[33],"Central":[35],"Processing":[36,44],"Units":[37,45],"(CPUs)":[38],"and":[39,66,101,111],"Graphics":[43],"(GPUs)":[46],"called":[47],"cudaBRKGA-CNN,":[48],"guaranteeing":[49],"better":[50,112],"computational":[51,113],"performance":[52,73,95],"during":[53],"CNN":[54,64],"training.":[55],"Additionally,":[56],"we":[57],"decoder":[60],"searches":[62],"returns":[67],"competitive":[68,109],"solutions.":[69],"compared":[71],"our":[75,105],"two":[76,86],"proposed":[77],"approaches":[78,92],"with":[79],"other":[80,117],"state-of-the-art":[81],"deep":[82],"learning":[83],"models":[84],"using":[85],"datasets":[87],"from":[88],"literature.":[90],"Our":[91],"demonstrated":[93],"high":[94],"in":[96],"terms":[97],"solution":[99],"quality":[100],"convergence":[102],"speed.":[103],"Furthermore,":[104],"cudaBRKGA-CNN":[106],"proposal":[107],"presented":[108],"results":[110],"time":[114],"than":[115],"evaluated":[118],"models.":[119]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}