{"id":"https://openalex.org/W2035868174","doi":"https://doi.org/10.1145/2330163.2330259","title":"A genetic algorithm for designing neural network ensembles","display_name":"A genetic algorithm for designing neural network ensembles","publication_year":2012,"publication_date":"2012-07-07","ids":{"openalex":"https://openalex.org/W2035868174","doi":"https://doi.org/10.1145/2330163.2330259","mag":"2035868174"},"language":"en","primary_location":{"id":"doi:10.1145/2330163.2330259","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330163.2330259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference on Genetic and evolutionary computation","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/A5077066190","display_name":"Symone Gomes Soares Alcal\u00e1","orcid":"https://orcid.org/0000-0001-9783-6506"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Symone Soares","raw_affiliation_strings":["University of Coimbra, Coimbra, Portugal","university of coimbra, coimbra, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"university of coimbra, coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036445711","display_name":"Carlos Henggeler Antunes","orcid":"https://orcid.org/0000-0003-4754-2168"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Carlos Antunes","raw_affiliation_strings":["University of Coimbra, Coimbra, Portugal","university of coimbra, coimbra, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"university of coimbra, coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023127369","display_name":"Rui Ara\u00fajo","orcid":"https://orcid.org/0000-0002-1007-8675"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Ara\u00fajo","raw_affiliation_strings":["University of Coimbra, Coimbra, Portugal","university of coimbra, coimbra, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"university of coimbra, coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76903346"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"681","last_page":"688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9847999811172485,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9800999760627747,"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":0.7139323949813843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.684532642364502},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6278932690620422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5038794875144958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38795119524002075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3305412530899048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139323949813843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.684532642364502},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6278932690620422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5038794875144958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38795119524002075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3305412530899048}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2330163.2330259","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330163.2330259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.718.3637","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.718.3637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://home.isr.uc.pt/%7Erui/publications/gecco2012_681_web.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.890.2386","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.890.2386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Symone_Soares/publication/254462287_A_genetic_algorithm_for_designing_neural_network_ensembles/links/0c96052519922b4324000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.899.6070","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.899.6070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Symone_Soares/publication/254462287_A_genetic_algorithm_for_designing_neural_network_ensembles/links/0c96052519922b4324000000.pdf?origin%3Dpublication_detail","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W191494004","https://openalex.org/W1490718590","https://openalex.org/W1517969659","https://openalex.org/W1534477342","https://openalex.org/W1544329015","https://openalex.org/W1556182636","https://openalex.org/W1597190145","https://openalex.org/W1761681184","https://openalex.org/W1825077972","https://openalex.org/W1973065659","https://openalex.org/W1977238661","https://openalex.org/W1995945562","https://openalex.org/W2002096058","https://openalex.org/W2048997388","https://openalex.org/W2061119986","https://openalex.org/W2100128988","https://openalex.org/W2102201073","https://openalex.org/W2144097240","https://openalex.org/W2145073242","https://openalex.org/W2145833756","https://openalex.org/W2149578777","https://openalex.org/W2157296879","https://openalex.org/W2167055186","https://openalex.org/W2167571914","https://openalex.org/W2339647961","https://openalex.org/W2463352380","https://openalex.org/W2481897712","https://openalex.org/W2789215041","https://openalex.org/W2912934387","https://openalex.org/W3106889297","https://openalex.org/W3140399460","https://openalex.org/W4206495155","https://openalex.org/W4285719527","https://openalex.org/W6632075054","https://openalex.org/W6632553363","https://openalex.org/W6638473186","https://openalex.org/W6681651645"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Ensemble":[0],"Methods":[1],"(EMs)":[2],"are":[3,24,40,187],"sets":[4,186],"of":[5,27,50,64,66,76,109,114,136,145,152,165,179,193],"models":[6,51],"that":[7,52],"combine":[8],"their":[9,12,69],"decisions,":[10],"or":[11,15],"learning":[13],"algorithms,":[14],"different":[16,124],"data":[17,126,185],"to":[18,72,85,95,121,159,189],"obtain":[19],"good":[20],"predictions.":[21],"The":[22,118,134],"motivations":[23],"the":[25,29,33,48,59,62,74,77,137,143,162,168,174,177,180,191,194],"possibility":[26],"improving":[28],"generalization":[30],"capability":[31],"and":[32,68,150,167,176],"overall":[34],"system":[35],"performance.":[36],"However,":[37],"several":[38],"issues":[39],"at":[41],"stake":[42],"in":[43],"EM":[44],"development,":[45],"such":[46],"as":[47,54,56],"design":[49,96],"disagree":[53],"much":[55],"possible":[57],"on":[58,183],"same":[60],"data,":[61],"selection":[63],"some":[65],"them":[67],"optimal":[70,169],"combination":[71,170],"enhance":[73],"robustness":[75,178],"ensemble.":[78,181],"Since":[79],"there":[80],"is":[81,116,120,139,157],"no":[82],"unified":[83],"procedure":[84],"implement":[86],"these":[87],"steps,":[88],"this":[89],"paper":[90],"proposes":[91],"a":[92,102,107,123,155],"new":[93],"methodology":[94],"Neural":[97],"Network":[98],"(NN)":[99],"ensembles":[100],"using":[101],"Genetic":[103],"Algorithm":[104],"(GA).":[105],"Firstly,":[106],"set":[108,127],"NNs":[110,166],"with":[111],"high":[112],"degree":[113],"diversity":[115],"produced.":[117],"aim":[119],"draw":[122],"training":[125],"for":[128,172],"each":[129],"NN":[130,138],"by":[131,141],"applying":[132],"bootstrap.":[133],"architecture":[135],"selected":[140],"varying":[142],"number":[144],"hidden":[146],"neurons,":[147],"activation":[148],"functions":[149],"initialization":[151],"weights.":[153],"Secondly,":[154],"GA":[156],"employed":[158],"select":[160],"both":[161],"best":[163],"subset":[164],"strategy":[171],"ensuring":[173],"accuracy":[175],"Experiments":[182],"well-known":[184],"reported":[188],"evaluate":[190],"effectiveness":[192],"proposed":[195],"methodology.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
