{"id":"https://openalex.org/W3192588311","doi":"https://doi.org/10.1109/cec45853.2021.9504776","title":"IG-CEE: An Embedded Information Gain approach to Genetic Algorithms","display_name":"IG-CEE: An Embedded Information Gain approach to Genetic Algorithms","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3192588311","doi":"https://doi.org/10.1109/cec45853.2021.9504776","mag":"3192588311"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5103993183","display_name":"Alexandre Henrick da Silva Alves","orcid":null},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Alexandre Henrick da Silva Alves","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Patos de Minas,Minas Gerais,Brazil","Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Patos de Minas,Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051557377","display_name":"Raphael de Lima Mendes","orcid":null},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Raphael de Lima Mendes","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Uberlandia,Minas Gerais,Brazil","Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Uberlandia,Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087621082","display_name":"Matheus de Souza Gomes","orcid":"https://orcid.org/0000-0001-7352-3089"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus de Souza Gomes","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Institute of Biotechnology (IBTEC),Patos de Minas,Minas Gerais,Brazil","Institute of Biotechnology (IBTEC), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Institute of Biotechnology (IBTEC),Patos de Minas,Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Institute of Biotechnology (IBTEC), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078367813","display_name":"Pedro Luiz Lima Bertarini","orcid":"https://orcid.org/0000-0003-1816-564X"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Luiz Lima Bertarini","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Electrical Engineering (FEELT),Patos de Minas,Minas Gerais,Brazil","Faculty of Electrical Engineering (FEELT), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Electrical Engineering (FEELT),Patos de Minas,Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Electrical Engineering (FEELT), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008274219","display_name":"Laurence Rodrigues do Amaral","orcid":"https://orcid.org/0000-0003-4681-5451"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Laurence Rodrigues do Amaral","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Patos de Minas,Minas Gerais,Brazil","Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Patos de Minas,Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Patos de Minas, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103993183"],"corresponding_institution_ids":["https://openalex.org/I80850581"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10911526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1086","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9897000193595886,"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/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.7931258678436279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724871814250946},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.672662079334259},{"id":"https://openalex.org/keywords/information-gain-ratio","display_name":"Information gain ratio","score":0.6225630640983582},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5915548205375671},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5606154203414917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5483813285827637},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.526470422744751},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5088098645210266},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.47486138343811035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45504796504974365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43301916122436523},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.17557132244110107}],"concepts":[{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.7931258678436279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724871814250946},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.672662079334259},{"id":"https://openalex.org/C202185110","wikidata":"https://www.wikidata.org/wiki/Q6031086","display_name":"Information gain ratio","level":3,"score":0.6225630640983582},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5915548205375671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5606154203414917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5483813285827637},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.526470422744751},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5088098645210266},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.47486138343811035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45504796504974365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43301916122436523},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.17557132244110107},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec45853.2021.9504776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W17321162","https://openalex.org/W196925868","https://openalex.org/W281139126","https://openalex.org/W1543352466","https://openalex.org/W1565377632","https://openalex.org/W1659842140","https://openalex.org/W1897366817","https://openalex.org/W1970894001","https://openalex.org/W1974764356","https://openalex.org/W2019498273","https://openalex.org/W2050287928","https://openalex.org/W2056400929","https://openalex.org/W2103017472","https://openalex.org/W2112607197","https://openalex.org/W2143874137","https://openalex.org/W2154642793","https://openalex.org/W2161739581","https://openalex.org/W2167197436","https://openalex.org/W2405259730","https://openalex.org/W2434278797","https://openalex.org/W2896745559","https://openalex.org/W2949450461","https://openalex.org/W3023540311","https://openalex.org/W3105959310","https://openalex.org/W6607979733","https://openalex.org/W6632681245","https://openalex.org/W6633894697","https://openalex.org/W6713884917","https://openalex.org/W6755163460","https://openalex.org/W6763429543","https://openalex.org/W6786513370"],"related_works":["https://openalex.org/W4214653893","https://openalex.org/W2149097950","https://openalex.org/W2505282017","https://openalex.org/W3124731355","https://openalex.org/W3036853918","https://openalex.org/W3211372245","https://openalex.org/W3013263334","https://openalex.org/W4285406884","https://openalex.org/W2997511728","https://openalex.org/W3094470751"],"abstract_inverted_index":{"The":[0,79,96,121,183],"classification":[1,28,35,39,116,189],"task":[2],"is":[3,13],"among":[4],"the":[5,51,84,99,112,170],"most":[6],"used":[7],"in":[8,191],"Data":[9],"Mining":[10],"and":[11,32,56,89,118,127,136],"it":[12],"widely":[14],"researched":[15],"nowadays.":[16],"Some":[17],"works":[18],"have":[19],"already":[20],"been":[21],"developed":[22],"using":[23,175],"Genetic":[24],"Algorithms":[25],"(GAs)":[26],"for":[27],"tasks,":[29],"building":[30],"simple":[31],"small":[33],"IF-THEN":[34,113],"rules":[36],"with":[37,125,161,179],"good":[38],"results.":[40],"These":[41],"methods":[42,158],"produce":[43],"understandable":[44],"outputs":[45],"(IF-THEN":[46],"rules),":[47],"unlike":[48],"some":[49],"of":[50,108,181],"traditional":[52,130],"classifiers,":[53],"e.g.":[54],"SVM":[55],"Artificial":[57],"Neural":[58],"Networks,":[59],"known":[60],"as":[61],"black-box":[62],"type.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,142],"proposed":[68,80,86,184],"a":[69,105,154,176],"new":[70],"method":[71,81,185],"called":[72],"Information":[73,100],"Gain-based":[74],"Computational":[75,92],"Evolutionary":[76,93],"Environment":[77,94],"(IG-CEE).":[78],"IG-CEE":[82,97,122,186],"extends":[83],"GA":[85],"by":[87,149],"Amaral":[88],"Hruschka":[90],"named":[91],"(CEE).":[95],"uses":[98],"Gain":[101],"approach":[102],"to":[103,110],"select":[104],"better":[106,188],"subset":[107],"attributes":[109],"compose":[111],"rules,":[114],"improving":[115],"accuracy":[117],"convergence":[119],"rates.":[120],"was":[123,173],"compared":[124],"CEE":[126],"four":[128],"(4)":[129],"classifiers:":[131],"J48,":[132],"IBK,":[133],"Naive":[134],"Bayes,":[135],"SVM.":[137],"To":[138,152],"compare":[139],"all":[140,157],"methods,":[141],"built":[143],"three":[144],"(3)":[145],"synthetic":[146],"datasets,":[147],"generated":[148],"GeNIe":[150],"software.":[151],"realize":[153],"fair":[155],"comparison,":[156],"were":[159],"executed,":[160],"distinct":[162],"random":[163],"seeds,":[164],"100":[165],"times.":[166],"For":[167],"each":[168],"method,":[169],"final":[171],"result":[172],"calculated":[174],"confidence":[177],"interval":[178],"95%":[180],"confidence.":[182],"showed":[187],"rates":[190],"several":[192],"comparisons.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}