{"id":"https://openalex.org/W4294811716","doi":"https://doi.org/10.1109/cec55065.2022.9870211","title":"A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training","display_name":"A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811716","doi":"https://doi.org/10.1109/cec55065.2022.9870211"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870211","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5019996443","display_name":"Seyed Jalaleddin Mousavirad","orcid":"https://orcid.org/0000-0001-8661-7578"},"institutions":[{"id":"https://openalex.org/I40734275","display_name":"Hakim Sabzevari University","ror":"https://ror.org/00zyh6d22","country_code":"IR","type":"education","lineage":["https://openalex.org/I40734275"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Seyed Jalaleddin Mousavirad","raw_affiliation_strings":["Hakim Sabzevari University,Computer Engineering Department,Sabzevar,Iran","Computer Engineering Department, Hakim Sabzevari University, Sabzevar, Iran"],"affiliations":[{"raw_affiliation_string":"Hakim Sabzevari University,Computer Engineering Department,Sabzevar,Iran","institution_ids":["https://openalex.org/I40734275"]},{"raw_affiliation_string":"Computer Engineering Department, Hakim Sabzevari University, Sabzevar, Iran","institution_ids":["https://openalex.org/I40734275"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039341855","display_name":"Amir H. Gandomi","orcid":"https://orcid.org/0000-0002-2798-0104"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amir H. Gandomi","raw_affiliation_strings":["University of Technology Sydney,Faculty of Engineering and IT,Ultimo,NSW,Australia,2007"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Faculty of Engineering and IT,Ultimo,NSW,Australia,2007","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051221811","display_name":"Hassan Homayoun","orcid":null},"institutions":[{"id":"https://openalex.org/I70640408","display_name":"Tehran University of Medical Sciences","ror":"https://ror.org/01c4pz451","country_code":"IR","type":"education","lineage":["https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hassan Homayoun","raw_affiliation_strings":["Quantitative MR Imaging and Spectroscopy Group Research Center for Cellular and Molecular Imaging Tehran University of Medical Sciences,Tehran,Iran","Quantitative MR Imaging and Spectroscopy Group Research Center for Cellular and Molecular Imaging Tehran University of Medical Sciences, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Quantitative MR Imaging and Spectroscopy Group Research Center for Cellular and Molecular Imaging Tehran University of Medical Sciences,Tehran,Iran","institution_ids":["https://openalex.org/I70640408"]},{"raw_affiliation_string":"Quantitative MR Imaging and Spectroscopy Group Research Center for Cellular and Molecular Imaging Tehran University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I70640408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019996443"],"corresponding_institution_ids":["https://openalex.org/I40734275"],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76562163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9983000159263611,"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/T10057","display_name":"Face and Expression Recognition","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7231200933456421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850278973579407},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6153386831283569},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5731990337371826},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5027797222137451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4820612072944641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4776383936405182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4553655982017517},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.41008177399635315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32540977001190186},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32500338554382324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18074294924736023}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7231200933456421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850278973579407},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6153386831283569},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5731990337371826},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5027797222137451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4820612072944641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4776383936405182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4553655982017517},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.41008177399635315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32540977001190186},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32500338554382324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18074294924736023},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec55065.2022.9870211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870211","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310002","display_name":"Universidade da Beira Interior","ror":"https://ror.org/03nf36p02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W221059062","https://openalex.org/W1490180010","https://openalex.org/W1529965533","https://openalex.org/W1542136219","https://openalex.org/W1595159159","https://openalex.org/W1900101064","https://openalex.org/W1979695132","https://openalex.org/W1982779742","https://openalex.org/W1986512036","https://openalex.org/W2002302337","https://openalex.org/W2006544565","https://openalex.org/W2012231377","https://openalex.org/W2024555019","https://openalex.org/W2032576830","https://openalex.org/W2043382734","https://openalex.org/W2079143456","https://openalex.org/W2083715026","https://openalex.org/W2087070363","https://openalex.org/W2104352549","https://openalex.org/W2107093743","https://openalex.org/W2114966295","https://openalex.org/W2127218421","https://openalex.org/W2130372754","https://openalex.org/W2137699621","https://openalex.org/W2140527568","https://openalex.org/W2143908786","https://openalex.org/W2145178363","https://openalex.org/W2157833270","https://openalex.org/W2160699933","https://openalex.org/W2162745921","https://openalex.org/W2165299997","https://openalex.org/W2232317135","https://openalex.org/W2256578114","https://openalex.org/W2401135312","https://openalex.org/W2553852618","https://openalex.org/W2588031254","https://openalex.org/W2610544564","https://openalex.org/W2745955322","https://openalex.org/W2783497650","https://openalex.org/W2788871719","https://openalex.org/W2810449520","https://openalex.org/W2885191712","https://openalex.org/W2905396678","https://openalex.org/W2944315498","https://openalex.org/W2946326863","https://openalex.org/W2954434566","https://openalex.org/W2957528336","https://openalex.org/W2971142824","https://openalex.org/W2975160087","https://openalex.org/W3046866357","https://openalex.org/W3099607581","https://openalex.org/W3118961950","https://openalex.org/W3151089426","https://openalex.org/W3151521170","https://openalex.org/W3158583513","https://openalex.org/W3177372419","https://openalex.org/W3189912282","https://openalex.org/W3200331528","https://openalex.org/W3205920325","https://openalex.org/W4200565959","https://openalex.org/W4220716990","https://openalex.org/W4226198731","https://openalex.org/W6678914141","https://openalex.org/W6678966479","https://openalex.org/W6681232967","https://openalex.org/W6780999279","https://openalex.org/W6802317534"],"related_works":["https://openalex.org/W1629725936","https://openalex.org/W2139372187","https://openalex.org/W2569296122","https://openalex.org/W4243815432","https://openalex.org/W2765940486","https://openalex.org/W3173803351","https://openalex.org/W2064711242","https://openalex.org/W2070737669","https://openalex.org/W2787524754","https://openalex.org/W4319459161"],"abstract_inverted_index":{"The":[0,161],"performance":[1,204],"of":[2,80,89,112,158,205],"feed-forward":[3],"neural":[4],"networks":[5],"(FFNN)":[6],"is":[7,73,169],"directly":[8],"dependant":[9],"on":[10,63,143,188],"the":[11,78,87,92,110,113,121,140,144,156,159,173,178,202],"training":[12,15,59],"algorithm.":[13,67,160],"Conventional":[14],"algorithms":[16,42,72],"such":[17,43],"as":[18,44,172,182],"gradient-based":[19],"approaches":[20,199],"are":[21,29,48],"so":[22],"popular":[23],"for":[24,177],"FFNN":[25],"training,":[26],"but":[27],"they":[28],"susceptible":[30],"to":[31,76,86,108,120],"get":[32],"stuck":[33],"in":[34,70,131,147,192],"local":[35,184],"optimum.":[36],"To":[37],"overcome":[38],"this,":[39],"population-based":[40,198],"metaheuristic":[41],"differential":[45],"evolution":[46],"(DE)":[47],"a":[49,57,104,117,125,135,183],"reliable":[50],"alternative.":[51],"In":[52,150],"this":[53],"paper,":[54,101],"we":[55],"propose":[56],"novel":[58],"algorithm,":[60,181],"Reg-IDE,":[61],"based":[62,142],"an":[64,74],"improved":[65,167],"DE":[66,168],"Weight":[68],"regularisation":[69],"conventional":[71,196],"approach":[75],"reduce":[77],"likelihood":[79],"over-fitting":[81],"and":[82,138,191,197],"enhance":[83],"generalisation.":[84],"However,":[85],"best":[88,162],"our":[90],"knowledge,":[91],"current":[93],"DE-based":[94],"trainers":[95],"do":[96],"not":[97],"employ":[98],"regularisation.":[99],"This":[100],"first,":[102],"proposes":[103],"regularisation-based":[105],"objective":[106,122],"function":[107],"improve":[109],"generalisation":[111],"algorithm":[114,137],"by":[115,166],"adding":[116],"new":[118],"term":[119],"function.":[123],"Then,":[124],"region-based":[126],"strategy":[127],"determines":[128],"some":[129],"regions":[130],"search":[132],"space":[133],"using":[134],"clustering":[136],"updates":[139],"population":[141],"information":[145],"available":[146],"each":[148],"region.":[149],"addition,":[151],"quasi":[152],"opposition-based":[153],"learning":[154],"enhances":[155],"exploration":[157],"candidate":[163],"solution":[164],"found":[165],"then":[170],"used":[171],"initial":[174],"network":[175],"weights":[176],"Levenberg-Marquardt":[179],"(LM)":[180],"refinement.":[185],"Experimental":[186],"results":[187],"different":[189],"benchmarks":[190],"comparison":[193],"with":[194],"26":[195],"apparently":[200],"demonstrate":[201],"excellent":[203],"Reg-IDE.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
