{"id":"https://openalex.org/W2991091478","doi":"https://doi.org/10.1109/smc.2019.8914473","title":"Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory","display_name":"Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991091478","doi":"https://doi.org/10.1109/smc.2019.8914473","mag":"2991091478"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","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/A5081520679","display_name":"Hadjer Ykhlef","orcid":"https://orcid.org/0000-0002-7791-3321"},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hadjer Ykhlef","raw_affiliation_strings":["Department of Computer Science, University of Blida 1, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Blida 1, Algeria","institution_ids":["https://openalex.org/I83332908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012408243","display_name":"Djamel Bouchaffra","orcid":"https://orcid.org/0000-0002-9850-907X"},"institutions":[{"id":"https://openalex.org/I4210159412","display_name":"Intelligent Machines (Sweden)","ror":"https://ror.org/05nzk9q32","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210159412"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Djamel Bouchaffra","raw_affiliation_strings":["CDTA, Design of Intelligent Machines Group, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CDTA, Design of Intelligent Machines Group, Algeria","institution_ids":["https://openalex.org/I4210159412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035513139","display_name":"Farid Ykhlef","orcid":null},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Farid Ykhlef","raw_affiliation_strings":["Department of Electronics, University of Blida 1, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Blida 1, Algeria","institution_ids":["https://openalex.org/I83332908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1446,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60150848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"2267","last_page":"2272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9768999814987183,"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/pruning","display_name":"Pruning","score":0.7403087615966797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730377197265625},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6340134739875793},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6209902167320251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6192545294761658},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5899800658226013},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5758985280990601},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5422213673591614},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5213438272476196},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47758936882019043},{"id":"https://openalex.org/keywords/replicator-equation","display_name":"Replicator equation","score":0.43652212619781494},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4258246421813965},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17384663224220276}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7403087615966797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730377197265625},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6340134739875793},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6209902167320251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6192545294761658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5899800658226013},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5758985280990601},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5422213673591614},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5213438272476196},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47758936882019043},{"id":"https://openalex.org/C50318809","wikidata":"https://www.wikidata.org/wiki/Q2145081","display_name":"Replicator equation","level":3,"score":0.43652212619781494},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4258246421813965},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17384663224220276},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8914473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W71517243","https://openalex.org/W87564900","https://openalex.org/W1562197959","https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1995276998","https://openalex.org/W2025328644","https://openalex.org/W2062227078","https://openalex.org/W2085728653","https://openalex.org/W2097554207","https://openalex.org/W2103346566","https://openalex.org/W2127082287","https://openalex.org/W2144781678","https://openalex.org/W2170375089","https://openalex.org/W2259408100","https://openalex.org/W3120740533","https://openalex.org/W3122924345","https://openalex.org/W4375906334","https://openalex.org/W6633883679","https://openalex.org/W6674406337","https://openalex.org/W6679322618","https://openalex.org/W6692287220"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W2052615004","https://openalex.org/W2091246427","https://openalex.org/W2046975922","https://openalex.org/W4361733484","https://openalex.org/W4287902169","https://openalex.org/W2029013302","https://openalex.org/W4256395896","https://openalex.org/W2559572301","https://openalex.org/W1589480767"],"abstract_inverted_index":{"Ensemble":[0,39],"methodology":[1],"combines":[2],"multiple":[3],"learning":[4],"schemes":[5],"in":[6,25,35,168],"order":[7,131],"to":[8,49,103,132],"improve":[9],"the":[10,26,36,63,66,73,79,97,104,123,127,134,163],"classification":[11],"performance.":[12,38],"An":[13],"ensemble":[14,88,101],"made":[15],"of":[16,20,55,65,69,75,99,122,165,170],"a":[17,33,57,91],"large":[18],"number":[19,74],"classifiers":[21,70],"entails":[22],"an":[23,43,100],"increase":[24],"computational":[27,176],"cost,":[28],"memory":[29],"storage,":[30],"and":[31,151,175],"even":[32],"reduction":[34],"predictive":[37],"pruning":[40,89,173],"has":[41],"become":[42],"important":[44],"task":[45],"that":[46,59,77,116],"lives":[47],"up":[48],"these":[50],"challenges.":[51],"The":[52,107,120,160],"thrust":[53],"consists":[54],"constructing":[56],"subset":[58],"maintains":[60],"or":[61],"improves":[62],"accuracy":[64,171],"original":[67],"set":[68],"while":[71],"reducing":[72],"members":[76],"constitute":[78],"ensemble.":[80,129],"Inspired":[81],"by":[82],"evolutionary":[83,124],"game":[84],"theory,":[85],"we":[86,137],"formulate":[87],"as":[90,146],"dynamical":[92],"system.":[93],"Our":[94],"approach":[95,167],"simulates":[96],"evolution":[98],"according":[102],"replicator":[105],"dynamics.":[106],"selection":[108],"mechanism":[109],"is":[110],"defined":[111],"based":[112,154],"on":[113,155],"strategic":[114],"interactions":[115],"favor":[117],"complementary":[118],"members.":[119],"survivors":[121],"process":[125],"compose":[126],"final":[128],"In":[130],"evaluate":[133],"proposed":[135],"technique,":[136],"performed":[138],"comparisons":[139],"with":[140],"some":[141],"major":[142],"state-of-the-art":[143],"methods":[144],"such":[145],"semi-definite":[147],"programming,":[148],"genetic":[149],"algorithm,":[150],"orientation":[152],"ordering,":[153],"30":[156],"UCI":[157],"benchmark":[158],"datasets.":[159],"results":[161],"demonstrate":[162],"effectiveness":[164],"our":[166],"terms":[169],"performance,":[172],"ratio,":[174],"cost.":[177]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}