{"id":"https://openalex.org/W2171351693","doi":"https://doi.org/10.1109/ijcnn.2010.5596287","title":"Topology optimization for artificial neural networks using differential evolution","display_name":"Topology optimization for artificial neural networks using differential evolution","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2171351693","doi":"https://doi.org/10.1109/ijcnn.2010.5596287","mag":"2171351693"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 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/A5019548155","display_name":"Nicole L. Mineu","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":true,"raw_author_name":"Nicole L. Mineu","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025550530","display_name":"Teresa B. Ludermir","orcid":"https://orcid.org/0000-0002-8980-6742"},"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":"Teresa B. Ludermir","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107299070","display_name":"Leandro M. Almeida","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":"Leandro M. Almeida","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019548155"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81698766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4234","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T11115","display_name":"Topology Optimization in Engineering","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/backpropagation","display_name":"Backpropagation","score":0.7119954228401184},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6549156308174133},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5907139778137207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5587949156761169},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5354850888252258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5235604643821716},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4933547079563141},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.48220694065093994},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45237550139427185},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.43340808153152466},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4134329855442047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3971339762210846},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.351520836353302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2764861583709717}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7119954228401184},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6549156308174133},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5907139778137207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587949156761169},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5354850888252258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5235604643821716},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4933547079563141},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.48220694065093994},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45237550139427185},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.43340808153152466},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4134329855442047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3971339762210846},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.351520836353302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2764861583709717},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1490180010","https://openalex.org/W1595159159","https://openalex.org/W1879678483","https://openalex.org/W1998674867","https://openalex.org/W2015450381","https://openalex.org/W2028765696","https://openalex.org/W2034249271","https://openalex.org/W2058947616","https://openalex.org/W2081060554","https://openalex.org/W2081981459","https://openalex.org/W2096737765","https://openalex.org/W2102804561","https://openalex.org/W2119799008","https://openalex.org/W2124290836","https://openalex.org/W2125332715","https://openalex.org/W2139626017","https://openalex.org/W2151151917","https://openalex.org/W2151596679","https://openalex.org/W2168294619","https://openalex.org/W3137715965","https://openalex.org/W6682418493"],"related_works":["https://openalex.org/W2079483465","https://openalex.org/W2107894985","https://openalex.org/W2911471039","https://openalex.org/W2902454235","https://openalex.org/W2021957875","https://openalex.org/W2015132550","https://openalex.org/W2163202954","https://openalex.org/W2770121110","https://openalex.org/W2017609523","https://openalex.org/W2080207695"],"abstract_inverted_index":{"Backpropagation":[0],"(BP)":[1],"training":[2,9,102],"algorithm":[3,7],"is":[4,16,51,76,105,122],"the":[5,29,32,36,56,100,127,130,135,140],"main":[6],"for":[8,42,85,143],"feedforward":[10],"artificial":[11],"neural":[12],"networks":[13],"(ANNs).":[14],"BP":[15,57],"based":[17],"on":[18],"gradient":[19],"descent,":[20],"thus":[21],"it":[22,121],"converges":[23],"to":[24,83,112],"a":[25,62,77,86,90,106,124],"local":[26,49,72,114],"optimum":[27],"in":[28],"region":[30],"of":[31,48,79,93,110,126,129],"initial":[33,94,118],"solution.":[34],"Meanwhile,":[35],"evolutionary":[37],"algorithms":[38],"(EAs)":[39],"always":[40],"look":[41],"global":[43,70],"optimum,":[44],"however":[45],"their":[46],"ability":[47],"search":[50,84,115],"not":[52],"as":[53,55],"good":[54],"algorithm.":[58],"This":[59],"paper":[60],"presents":[61],"hybrid":[63,131,136],"system":[64,132,137],"that":[65],"uses":[66],"differential":[67,80],"evolution":[68,81],"with":[69,134],"and":[71,89,97,139],"neighborhoods":[73],"(DEGL),":[74],"which":[75,104],"variant":[78],"(DE),":[82],"suitable":[87],"architecture":[88],"near-optimal":[91],"set":[92],"connection":[95],"weights,":[96],"then":[98],"performs":[99],"Levenberg-Marquadt":[101],"algorithm,":[103],"more":[107],"robust":[108],"variation":[109],"BP,":[111],"perform":[113],"from":[116],"these":[117],"weights.":[119],"Finally,":[120],"performed":[123],"comparison":[125],"performance":[128],"DEGL+ANN":[133],"DE+ANN":[138],"raw":[141],"RNA,":[142],"classification":[144],"problems":[145],"using":[146],"machine":[147],"learning":[148],"benchmarks.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
