{"id":"https://openalex.org/W1976582790","doi":"https://doi.org/10.1109/icmlc.2014.7009090","title":"Optimization of ensemble classifier system based on multiple objectives genetic algorithm","display_name":"Optimization of ensemble classifier system based on multiple objectives genetic algorithm","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1976582790","doi":"https://doi.org/10.1109/icmlc.2014.7009090","mag":"1976582790"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2014.7009090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/66706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100696033","display_name":"Tien Thanh Nguyen","orcid":"https://orcid.org/0000-0002-7107-5611"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tien Thanh Nguyen","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Australia","School of Information and Communication Technology; Griffith University; Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology; Griffith University; Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alan Wee-Chung Liew","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Australia","School of Information and Communication Technology; Griffith University; Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology; Griffith University; Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011692548","display_name":"Xuan Cuong Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Xuan Cuong Pham","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam","[School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam]"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"[School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam]","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101602315","display_name":"Mai Phuong Nguyen","orcid":"https://orcid.org/0000-0002-0018-1513"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mai Phuong Nguyen","raw_affiliation_strings":["College of Business, Massey University, New Zealand","[College of Business, Massey University, New Zealand]"],"affiliations":[{"raw_affiliation_string":"College of Business, Massey University, New Zealand","institution_ids":["https://openalex.org/I51158804"]},{"raw_affiliation_string":"[College of Business, Massey University, New Zealand]","institution_ids":["https://openalex.org/I51158804"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100696033"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":1.5778,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87152281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9908999800682068,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9908999800682068,"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/T10320","display_name":"Neural Networks and Applications","score":0.988099992275238,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9850000143051147,"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/crossover","display_name":"Crossover","score":0.8081473708152771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904127597808838},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6315301656723022},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5661522746086121},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5389673709869385},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4971905052661896},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4938855767250061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47384339570999146},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.42740511894226074},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4261963367462158},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38464170694351196},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32816141843795776}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8081473708152771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904127597808838},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6315301656723022},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5661522746086121},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5389673709869385},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4971905052661896},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4938855767250061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47384339570999146},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.42740511894226074},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4261963367462158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38464170694351196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32816141843795776},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmlc.2014.7009090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/66706","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/66706","pdf_url":"http://hdl.handle.net/10072/66706","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/66706","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/66706","pdf_url":"http://hdl.handle.net/10072/66706","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W1976582790.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1645816215","https://openalex.org/W1655845646","https://openalex.org/W1985101653","https://openalex.org/W2016648380","https://openalex.org/W2039774423","https://openalex.org/W2053956845","https://openalex.org/W2055879680","https://openalex.org/W2075317371","https://openalex.org/W2082618012","https://openalex.org/W2089340591","https://openalex.org/W2113538602","https://openalex.org/W2133556223","https://openalex.org/W2133935274","https://openalex.org/W2135190479","https://openalex.org/W2158275940","https://openalex.org/W2160767978","https://openalex.org/W2161631032","https://openalex.org/W3100344990","https://openalex.org/W4235965783"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W2014162767","https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2052615004","https://openalex.org/W2407804800","https://openalex.org/W2388864896","https://openalex.org/W2888937984","https://openalex.org/W2031651184","https://openalex.org/W2031173026"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,17,66,72],"mechanism":[4],"to":[5,77],"learn":[6],"optimal":[7,44],"classifier":[8],"combining":[9,84,113],"algorithms":[10,114],"for":[11],"an":[12],"ensemble":[13,104,117],"system.":[14,118],"By":[15],"using":[16],"genetic":[18],"algorithm":[19],"approach":[20,99],"that":[21],"focuses":[22],"on":[23,87],"3":[24],"objectives":[25],"namely":[26],"the":[27,33,39,59,116],"number":[28,34,40],"of":[29,35,41,52,81,97],"correct":[30],"classified":[31],"observations,":[32],"selected":[36,42],"features":[37],"and":[38,54,110],"classifiers,":[43],"solution":[45],"can":[46],"be":[47],"achieved":[48],"after":[49],"several":[50],"interactions":[51],"crossover":[53],"mutation.":[55],"We":[56],"also":[57],"employ":[58],"Ordered":[60],"Weighted":[61],"Averaging":[62],"operator":[63],"in":[64,115],"which":[65],"weight":[67],"vector":[68],"is":[69],"built":[70],"by":[71],"Linear":[73],"Decreasing":[74],"(LD)":[75],"function":[76],"find":[78],"average":[79],"values":[80],"outputs":[82],"from":[83],"algorithms.":[85],"Experiments":[86],"2":[88],"well-known":[89],"UCI":[90],"Machine":[91],"Learning":[92],"Repository":[93],"datasets":[94],"demonstrate":[95],"benefits":[96],"our":[98],"compared":[100],"with":[101],"other":[102],"state-of-the-art":[103],"methods":[105],"like":[106],"Decision":[107],"Template,":[108],"SCANN":[109],"all":[111],"fixed":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}