{"id":"https://openalex.org/W2039667767","doi":"https://doi.org/10.1142/s0218213013500243","title":"MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS FOR FILTER BASED FEATURE SELECTION IN CLASSIFICATION","display_name":"MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS FOR FILTER BASED FEATURE SELECTION IN CLASSIFICATION","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2039667767","doi":"https://doi.org/10.1142/s0218213013500243","mag":"2039667767"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213013500243","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213013500243","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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/A5077569089","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-4865-8026"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN","NZ"],"is_corresponding":false,"raw_author_name":"BING XUE","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210046, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056624500","display_name":"Liam Cervante","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"LIAM CERVANTE","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063402368","display_name":"Lin Shang","orcid":"https://orcid.org/0000-0003-1356-1942"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LIN SHANG","raw_affiliation_strings":["State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210046, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065533636","display_name":"Will N. Browne","orcid":"https://orcid.org/0000-0001-8979-2224"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"WILL N. BROWNE","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":null,"display_name":"MENGJIE ZHANG","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"MENGJIE ZHANG","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7016,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.96317598,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"22","issue":"04","first_page":"1350024","last_page":"1350024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9993000030517578,"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":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7524105906486511},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7077697515487671},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6804316639900208},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5554938912391663},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5524894595146179},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5247631072998047},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4945482909679413},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48513421416282654},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4802599251270294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45940911769866943},{"id":"https://openalex.org/keywords/truncation-selection","display_name":"Truncation selection","score":0.4588097333908081},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45547226071357727},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4467954635620117},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4303719997406006},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4217841625213623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41106146574020386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38341832160949707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38132309913635254},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.22303858399391174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1581340730190277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524105906486511},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7077697515487671},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6804316639900208},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5554938912391663},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5524894595146179},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5247631072998047},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4945482909679413},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48513421416282654},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4802599251270294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45940911769866943},{"id":"https://openalex.org/C106284839","wikidata":"https://www.wikidata.org/wiki/Q7847936","display_name":"Truncation selection","level":3,"score":0.4588097333908081},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45547226071357727},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4467954635620117},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4303719997406006},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4217841625213623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41106146574020386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38341832160949707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38132309913635254},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.22303858399391174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1581340730190277},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213013500243","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213013500243","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.550000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1515665938","https://openalex.org/W1526455201","https://openalex.org/W1553244859","https://openalex.org/W1570448133","https://openalex.org/W1583700199","https://openalex.org/W1585939719","https://openalex.org/W1586939424","https://openalex.org/W1595498733","https://openalex.org/W1607660464","https://openalex.org/W1963626514","https://openalex.org/W1975586526","https://openalex.org/W2000825106","https://openalex.org/W2004735350","https://openalex.org/W2010345901","https://openalex.org/W2014915963","https://openalex.org/W2017337590","https://openalex.org/W2020355555","https://openalex.org/W2039537889","https://openalex.org/W2041905826","https://openalex.org/W2050399271","https://openalex.org/W2059115408","https://openalex.org/W2072026441","https://openalex.org/W2099424509","https://openalex.org/W2115884121","https://openalex.org/W2120216197","https://openalex.org/W2124258777","https://openalex.org/W2126105956","https://openalex.org/W2133462743","https://openalex.org/W2138175984","https://openalex.org/W2148949939","https://openalex.org/W2153004548","https://openalex.org/W2158868693","https://openalex.org/W2162409230","https://openalex.org/W2165395862","https://openalex.org/W2165885026","https://openalex.org/W2166917905","https://openalex.org/W2966207845","https://openalex.org/W2993383518","https://openalex.org/W3103913776","https://openalex.org/W3120740533","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3035117390","https://openalex.org/W2737738213","https://openalex.org/W2147463381","https://openalex.org/W2346752270","https://openalex.org/W2682627309","https://openalex.org/W2088622475","https://openalex.org/W1991985286","https://openalex.org/W2380755212","https://openalex.org/W2762061873","https://openalex.org/W1480428252"],"abstract_inverted_index":{"Feature":[0],"selection":[1,27,48,140,145,312],"is":[2,198,297],"a":[3,42,77,91,178,216,223,283],"multi-objective":[4,46,72,99,104,143,171,211],"problem":[5],"with":[6,177,316],"the":[7,14,20,37,95,165,202,209,241,245,252,260,265,278,293,302],"two":[8,96,135,157,166,246],"main":[9],"conflicting":[10],"objectives":[11],"of":[12,16,45,79,164,218,226,258,262,282,286,295],"minimising":[13],"number":[15,44,225,261,285,294],"features":[17,227,263,287,296],"and":[18,32,54,59,82,109,131,154,175,182,188,228,238,250,264,288,307],"maximising":[19],"classification":[21,203,231,266,314,321],"performance.":[22,204,322],"However,":[23,94],"most":[24,269],"existing":[25],"feature":[26,47,123,139,144,311],"algorithms":[28,172,212,249],"are":[29,41,51,56,68,83,147,173],"single":[30,92,179,242],"objective":[31,180,243],"do":[33],"not":[34,117],"appropriately":[35],"reflect":[36],"actual":[38],"need.":[39],"There":[40],"small":[43,284],"algorithms,":[49,100],"which":[50],"wrapper":[52,254],"based":[53,103,122,128,138],"accordingly":[55],"computationally":[57],"expensive":[58],"less":[60],"general":[61],"than":[62,233],"filter":[63,121,137,159,248,310],"algorithms.":[64],"Evolutionary":[65],"computation":[66],"techniques":[67],"particularly":[69],"suitable":[70],"for":[71,277,309],"optimisation":[73],"because":[74],"they":[75],"use":[76],"population":[78],"candidate":[80],"solutions":[81,89,220],"able":[84],"to":[85,120,200,275],"find":[86],"multiple":[87],"non-dominated":[88,101,219],"in":[90,162,256,268,313],"run.":[93],"well-known":[97],"evolutionary":[98,112],"sorting":[102],"genetic":[105],"algorithm":[106,113,255],"II":[107],"(NSGAII)":[108],"strength":[110],"Pareto":[111],"2":[114],"(SPEA2)":[115],"have":[116],"been":[118],"applied":[119],"selection.":[124],"In":[125],"this":[126],"work,":[127],"on":[129,191,305],"NSGAII":[130,237,271,306],"SPEA2,":[132],"we":[133],"develop":[134],"multi-objective,":[136],"frameworks.":[141,168],"Four":[142],"methods":[146,185],"then":[148],"developed":[149],"by":[150],"applying":[151],"mutual":[152],"information":[153],"entropy":[155],"as":[156],"different":[158],"evaluation":[160],"criteria":[161],"each":[163],"proposed":[167,170,210],"The":[169],"examined":[174],"compared":[176],"method":[181],"three":[183],"traditional":[184,247,253],"(two":[186],"filters":[187],"one":[189],"wrapper)":[190],"eight":[192],"benchmark":[193],"datasets.":[194],"A":[195],"decision":[196],"tree":[197],"employed":[199],"test":[201],"Experimental":[205],"results":[206,291],"show":[207],"that":[208,221,280],"can":[213],"automatically":[214],"evolve":[215],"set":[217],"include":[222],"smaller":[224],"achieve":[229],"better":[230,290],"performance":[232,267,274],"using":[234],"all":[235],"features.":[236],"SPEA2":[239,276,308],"outperform":[240],"algorithm,":[244],"even":[251],"terms":[257],"both":[259,317],"cases.":[270],"achieves":[272],"similar":[273],"datasets":[279],"consist":[281],"slightly":[289],"when":[292],"large.":[298],"This":[299],"work":[300],"represents":[301],"first":[303],"study":[304],"problems":[315],"providing":[318],"field":[319],"leading":[320]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
