{"id":"https://openalex.org/W2923002339","doi":"https://doi.org/10.1155/2019/2952304","title":"Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning","display_name":"Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2923002339","doi":"https://doi.org/10.1155/2019/2952304","mag":"2923002339"},"language":"en","primary_location":{"id":"doi:10.1155/2019/2952304","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/2952304","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/2952304.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2019/2952304.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069993099","display_name":"Alejandro Baldominos","orcid":"https://orcid.org/0000-0002-8906-7572"},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES","FR"],"is_corresponding":true,"raw_author_name":"Alejandro Baldominos","raw_affiliation_strings":["Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid, Spain","Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid"],"raw_orcid":"https://orcid.org/0000-0002-8906-7572","affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid","institution_ids":["https://openalex.org/I50357001","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027117264","display_name":"Yago S\u00e1ez","orcid":"https://orcid.org/0000-0002-0998-2907"},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES","FR"],"is_corresponding":false,"raw_author_name":"Yago Saez","raw_affiliation_strings":["Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid, Spain","Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid"],"raw_orcid":"https://orcid.org/0000-0002-0998-2907","affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid","institution_ids":["https://openalex.org/I50357001","https://openalex.org/I4210156583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047189142","display_name":"Pedro Isasi","orcid":"https://orcid.org/0000-0002-5121-4821"},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES","FR"],"is_corresponding":false,"raw_author_name":"Pedro Isasi","raw_affiliation_strings":["Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid, Spain","Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Computer Science Department, Universidad Carlos III de Madrid. Avenida de la Universidad, 30. 28911 Leganes, Madrid","institution_ids":["https://openalex.org/I50357001","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069993099"],"corresponding_institution_ids":["https://openalex.org/I4210156583","https://openalex.org/I50357001"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":4.4983,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95613443,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9976000189781189,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9976000189781189,"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":0.996399998664856,"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/T11309","display_name":"Music and Audio Processing","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/neuroevolution","display_name":"Neuroevolution","score":0.9189999103546143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7701448202133179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7059746980667114},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6340236663818359},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.598106324672699},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5976544618606567},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5813311338424683},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5622621774673462},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5588109493255615},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.554997444152832},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5186604261398315},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5061702132225037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4779343903064728},{"id":"https://openalex.org/keywords/evolutionary-acquisition-of-neural-topologies","display_name":"Evolutionary acquisition of neural topologies","score":0.466943621635437},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4543241560459137},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4529000520706177},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.44043847918510437},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.33030980825424194},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.22278830409049988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08903729915618896}],"concepts":[{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.9189999103546143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701448202133179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7059746980667114},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6340236663818359},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.598106324672699},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5976544618606567},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5813311338424683},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5622621774673462},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5588109493255615},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.554997444152832},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5186604261398315},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5061702132225037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4779343903064728},{"id":"https://openalex.org/C41445625","wikidata":"https://www.wikidata.org/wiki/Q5418685","display_name":"Evolutionary acquisition of neural topologies","level":4,"score":0.466943621635437},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4543241560459137},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4529000520706177},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.44043847918510437},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33030980825424194},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.22278830409049988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08903729915618896},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2019/2952304","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/2952304","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/2952304.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:e-archivo.uc3m.es:10016/38123","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/38123","pdf_url":"https://e-archivo.uc3m.es/bitstreams/78f83428-0eb9-4350-947f-00cae33dd3db/download","source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"},{"id":"pmh:oai:doaj.org/article:bde389c794fa4346949323f67724c106","is_oa":true,"landing_page_url":"https://doaj.org/article/bde389c794fa4346949323f67724c106","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2019 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2019/2952304","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/2952304","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/2952304.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2246393218","display_name":null,"funder_award_id":"FPU13/03917","funder_id":"https://openalex.org/F4320321764","funder_display_name":"Ministerio de Educaci\u00f3n, Cultura y Deporte"}],"funders":[{"id":"https://openalex.org/F4320321764","display_name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","ror":"https://ror.org/03nc27g21"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2923002339.pdf","grobid_xml":"https://content.openalex.org/works/W2923002339.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1903029394","https://openalex.org/W1976981886","https://openalex.org/W1987778624","https://openalex.org/W2076698365","https://openalex.org/W2090526764","https://openalex.org/W2105023627","https://openalex.org/W2112796928","https://openalex.org/W2119814172","https://openalex.org/W2130573243","https://openalex.org/W2152175008","https://openalex.org/W2155893237","https://openalex.org/W2165698076","https://openalex.org/W2165776394","https://openalex.org/W2194775991","https://openalex.org/W2250904038","https://openalex.org/W2253535400","https://openalex.org/W2559785631","https://openalex.org/W2565565355","https://openalex.org/W2604228884","https://openalex.org/W2618904690","https://openalex.org/W2734358244","https://openalex.org/W2755860313","https://openalex.org/W2761692805","https://openalex.org/W2767077319","https://openalex.org/W2767084466","https://openalex.org/W2776601846","https://openalex.org/W2781688883","https://openalex.org/W2782162974","https://openalex.org/W2906697496","https://openalex.org/W2963176196","https://openalex.org/W2963588848","https://openalex.org/W2963759595","https://openalex.org/W2964122514","https://openalex.org/W3099343340","https://openalex.org/W3102591977","https://openalex.org/W6691951137"],"related_works":["https://openalex.org/W4206657577","https://openalex.org/W3193064952","https://openalex.org/W100361683","https://openalex.org/W4385188439","https://openalex.org/W1822215690","https://openalex.org/W2796541468","https://openalex.org/W2547836621","https://openalex.org/W4879471","https://openalex.org/W4251916515","https://openalex.org/W4256595690"],"abstract_inverted_index":{"Neuroevolution":[0],"is":[1,128,155],"the":[2,17,33,38,41,49,75,87,98,114,136,139,149,153,169,176,197,218,232,238,300],"field":[3,29,42],"of":[4,16,19,51,77,89,97,106,113,122,138,148,151,160,171,200,220,234,240,247,290,302],"study":[5],"that":[6,81,100,230,298],"uses":[7],"evolutionary":[8,101],"computation":[9],"in":[10,32,37,71,119,142,158],"order":[11,72],"to":[12,47,68,73,85,134,190,205,253,259],"optimize":[13,74,103],"certain":[14,184],"aspect":[15],"design":[18,219],"neural":[20,58,79,124,221,249],"networks,":[21],"most":[22],"often":[23],"its":[24],"topology":[25,76,172,178,241],"and":[26,237,262,275,293],"hyperparameters.":[27],"The":[28],"was":[30],"introduced":[31],"late\u20101980s,":[34],"but":[35],"only":[36],"latest":[39],"years":[40],"has":[43],"become":[44],"mature":[45],"enough":[46],"enable":[48],"optimization":[50],"deep":[52,78],"learning":[53,243],"models,":[54,261],"such":[55],"as":[56],"convolutional":[57,123,248],"networks.":[59,125],"In":[60],"this":[61,143,165,294],"paper,":[62,144],"we":[63,94,145,167],"rely":[64],"on":[65],"previous":[66],"work":[67],"apply":[69],"neuroevolution":[70,181,201],"networks":[80,222,250],"can":[82,186,202,268,284],"be":[83,187,203,269,285],"used":[84],"solve":[86],"problem":[88,267,274],"handwritten":[90],"character":[91],"recognition.":[92],"Moreover,":[93],"take":[95],"advantage":[96],"fact":[99],"algorithms":[102],"a":[104,111,120,183,191,212,272,278],"population":[105],"candidate":[107],"solutions,":[108],"by":[109,130,287],"combining":[110],"set":[112],"best":[115,177,301],"evolved":[116],"models":[117],"resulting":[118],"committee":[121],"This":[126],"process":[127,154,199],"enhanced":[129],"using":[131,180],"specific":[132],"mechanisms":[133],"preserve":[135],"diversity":[137],"population.":[140],"Additionally,":[141,281],"address":[146],"one":[147,266],"disadvantages":[150],"neuroevolution:":[152],"very":[156],"expensive":[157,198],"terms":[159],"computational":[161],"time.":[162],"To":[163],"lessen":[164],"issue,":[166],"explore":[168],"performance":[170],"transfer":[173,242],"learning:":[174],"whether":[175],"obtained":[179],"for":[182,216,265,271],"domain":[185],"successfully":[188],"applied":[189],"different":[192,207,273],"domain.":[193],"By":[194],"doing":[195],"so,":[196],"reused":[204,270],"tackle":[206],"problems,":[208],"turning":[209],"it":[210],"into":[211],"more":[213],"appealing":[214],"approach":[215],"optimizing":[217],"topologies.":[223],"After":[224],"evaluating":[225],"our":[226],"proposal,":[227],"results":[228,256,297],"show":[229],"both":[231,282,303],"use":[233],"neuroevolved":[235],"committees":[236,246,289],"application":[239],"are":[244,251],"successful:":[245],"able":[252],"improve":[254],"classification":[255],"when":[257],"compared":[258],"single":[260],"topologies":[263],"learned":[264],"data":[276],"with":[277],"good":[279],"performance.":[280],"approaches":[283],"combined":[286],"building":[288],"transferred":[291],"topologies,":[292],"combination":[295],"attains":[296],"combine":[299],"approaches.":[304]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}
