{"id":"https://openalex.org/W4403674895","doi":"https://doi.org/10.1109/tim.2024.3485438","title":"Fuzzy Broad Neuroevolution Networks via Multiobjective Evolutionary Algorithms: Balancing Structural Simplification and Performance","display_name":"Fuzzy Broad Neuroevolution Networks via Multiobjective Evolutionary Algorithms: Balancing Structural Simplification and Performance","publication_year":2024,"publication_date":"2024-10-23","ids":{"openalex":"https://openalex.org/W4403674895","doi":"https://doi.org/10.1109/tim.2024.3485438"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3485438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3485438","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5007345492","display_name":"Huimin Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huimin Zhao","raw_affiliation_strings":["College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080736367","display_name":"Yandong Wu","orcid":"https://orcid.org/0009-0002-2582-6653"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Wu","raw_affiliation_strings":["College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694571","display_name":"Wu Deng","orcid":"https://orcid.org/0000-0002-4538-2001"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Deng","raw_affiliation_strings":["College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007345492"],"corresponding_institution_ids":["https://openalex.org/I28813325"],"apc_list":null,"apc_paid":null,"fwci":4.098,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94709915,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9948999881744385,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9948999881744385,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9884999990463257,"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":0.9824000000953674,"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/neuroevolution","display_name":"Neuroevolution","score":0.7446961998939514},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.626681923866272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168226599693298},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5577415823936462},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.47231313586235046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4533989429473877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42508450150489807},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.41034477949142456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3651694655418396},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32700854539871216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22595056891441345}],"concepts":[{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.7446961998939514},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.626681923866272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168226599693298},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5577415823936462},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.47231313586235046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4533989429473877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42508450150489807},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.41034477949142456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3651694655418396},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32700854539871216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22595056891441345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3485438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3485438","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1610157109","display_name":null,"funder_award_id":"U2133205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4746695921","display_name":null,"funder_award_id":"TPL2203","funder_id":"https://openalex.org/F4320330181","funder_display_name":"State Key Laboratory of Food Science and Technology, Nanchang University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330181","display_name":"State Key Laboratory of Food Science and Technology, Nanchang University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1977904727","https://openalex.org/W2019207321","https://openalex.org/W2079325629","https://openalex.org/W2093620744","https://openalex.org/W2142090314","https://openalex.org/W2738226240","https://openalex.org/W2887576641","https://openalex.org/W3004862322","https://openalex.org/W3005416549","https://openalex.org/W3021613070","https://openalex.org/W3034357629","https://openalex.org/W3043748664","https://openalex.org/W3088798822","https://openalex.org/W3183976931","https://openalex.org/W3201204403","https://openalex.org/W4210812462","https://openalex.org/W4296079244","https://openalex.org/W4303457454","https://openalex.org/W4321504597","https://openalex.org/W4362013210","https://openalex.org/W4366396441","https://openalex.org/W4386701099","https://openalex.org/W4386825433","https://openalex.org/W4396982323","https://openalex.org/W4399060885","https://openalex.org/W4399286136","https://openalex.org/W4399527005","https://openalex.org/W4400508583","https://openalex.org/W4400953536","https://openalex.org/W4402289187","https://openalex.org/W4402629274","https://openalex.org/W6734593296"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928"],"abstract_inverted_index":{"Dynamic":[0],"fuzzy":[1,8,15,72,218,228],"broad":[2,18,73,229],"learning":[3,19],"system":[4,16],"(DFBLS)":[5],"is":[6,130,158,198],"a":[7,51,71,125,151,222],"neural":[9,170],"network":[10,42,45,69,75,102,112,141,224,230],"based":[11],"on":[12,192,203],"the":[13,33,39,54,57,61,96,109,115,121,133,144,164,169,178,193],"TSK":[14],"and":[17,26,38,47,68,101,108,139,143,166,195,221],"(BL).":[20],"DFBLS":[21],"possesses":[22],"excellent":[23],"model":[24,65,129],"interpretability":[25],"efficient":[27],"predictive":[28,66],"performance.":[29],"However,":[30],"due":[31],"to":[32,94,162,201],"phenomenon":[34],"of":[35,41,56,136,168,186],"rule":[36],"explosion":[37],"redundancy":[40],"nodes,":[43],"balancing":[44],"structure":[46,117,167,225],"performance":[48,67,138,191],"has":[49],"become":[50],"challenge":[52],"in":[53,83,114,183],"construction":[55],"DFBLS.":[58],"Therefore,":[59],"for":[60,160],"best":[62,179],"balance":[63],"between":[64],"simplicity,":[70],"neuroevolutionary":[74],"via":[76],"multiobjective":[77,126],"evolutionary":[78,122],"algorithms":[79],"(EAs)":[80],"was":[81,92],"developed":[82],"this":[84],"article.":[85],"First,":[86],"an":[87],"effective":[88],"genetic":[89],"encoding":[90],"strategy":[91,154],"designed":[93],"represent":[95],"feature":[97],"node":[98],"building":[99],"blocks":[100],"connectivity":[103],"relationships.":[104],"The":[105,172],"incremental":[106],"mechanism":[107],"randomly":[110],"connected":[111],"relationships":[113],"ILFR":[116],"are":[118,148],"replaced":[119],"by":[120],"framework.":[123],"Second,":[124],"optimization":[127,134],"problem":[128],"constructed":[131],"with":[132,155,205,216],"objectives":[135],"prediction":[137],"minimal":[140],"structure,":[142],"corresponding":[145],"objective":[146],"functions":[147],"proposed.":[149],"Finally,":[150],"self-adaptive":[152],"mutation":[153],"scaling":[156],"genes":[157],"proposed":[159,208],"NSGA-II":[161],"optimize":[163],"accuracy":[165,215],"networks.":[171],"experiments":[173],"demonstrate":[174],"that":[175],"SGNSGA-DFBLS":[176,210],"achieves":[177],"hypervolume":[180],"(HV)":[181],"values":[182],"7":[184],"out":[185],"9":[187],"public":[188],"datasets.":[189],"Its":[190],"Air":[194],"pm2.5":[196],"datasets":[197],"either":[199],"superior":[200],"or":[202],"par":[204],"other":[206],"recently":[207],"models.":[209,231],"can":[211],"achieve":[212],"high":[213],"test":[214],"fewer":[217],"rules":[219],"(FRs)":[220],"compact":[223],"when":[226],"constructing":[227]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}