{"id":"https://openalex.org/W2023442959","doi":"https://doi.org/10.1109/cec.2014.6900657","title":"Filter based backward elimination in wrapper based PSO for feature selection in classification","display_name":"Filter based backward elimination in wrapper based PSO for feature selection in classification","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2023442959","doi":"https://doi.org/10.1109/cec.2014.6900657","mag":"2023442959"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5018658143","display_name":"Bach Hoai Nguyen","orcid":"https://orcid.org/0000-0002-6930-6863"},"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":true,"raw_author_name":"Hoai Bach Nguyen","raw_affiliation_strings":["School of Engineering and Computer Science, University of Wellington, Wellington, New Zealand","School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, University of Wellington, Wellington, 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/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"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["School of Engineering and Computer Science, University of Wellington, Wellington, New Zealand","School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, University of Wellington, Wellington, 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/A5083310167","display_name":"Ivy Liu","orcid":"https://orcid.org/0000-0002-3152-2632"},"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":"Ivy Liu","raw_affiliation_strings":["Statistics and Operations Research, University of Wellington, Wellington, New Zealand","School of Mathematics, Statistics and Operations Research; Victoria University of Wellington; PO BOX 600; Wellington; 6140; New Zealand"],"affiliations":[{"raw_affiliation_string":"Statistics and Operations Research, University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"School of Mathematics, Statistics and Operations Research; 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, University of Wellington, Wellington, New Zealand","School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, University of Wellington, Wellington, 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":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018658143"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":5.4972,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.95778156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3111","last_page":"3118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9918000102043152,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7601944208145142},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.716150164604187},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6530877947807312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6438328623771667},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5539641380310059},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5332500338554382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5302438735961914},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5258886218070984},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5146988034248352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4668750464916229},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.44442325830459595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44093823432922363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3201639950275421},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.14843732118606567}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7601944208145142},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.716150164604187},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6530877947807312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6438328623771667},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5539641380310059},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5332500338554382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5302438735961914},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5258886218070984},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5146988034248352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4668750464916229},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.44442325830459595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44093823432922363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3201639950275421},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.14843732118606567},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","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":35,"referenced_works":["https://openalex.org/W208071624","https://openalex.org/W1515665938","https://openalex.org/W1543715688","https://openalex.org/W1967657094","https://openalex.org/W2003723996","https://openalex.org/W2006027806","https://openalex.org/W2013885787","https://openalex.org/W2014732030","https://openalex.org/W2014915963","https://openalex.org/W2017337590","https://openalex.org/W2030363461","https://openalex.org/W2039667767","https://openalex.org/W2058118608","https://openalex.org/W2059115408","https://openalex.org/W2072026441","https://openalex.org/W2077487563","https://openalex.org/W2081534407","https://openalex.org/W2091375218","https://openalex.org/W2096081771","https://openalex.org/W2111799174","https://openalex.org/W2120216197","https://openalex.org/W2125213524","https://openalex.org/W2133462743","https://openalex.org/W2133990480","https://openalex.org/W2152195021","https://openalex.org/W2153004548","https://openalex.org/W2154053567","https://openalex.org/W2165299997","https://openalex.org/W2165885026","https://openalex.org/W2798741797","https://openalex.org/W2993383518","https://openalex.org/W3120740533","https://openalex.org/W6632522147","https://openalex.org/W6669921165","https://openalex.org/W6670826125"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2114356839","https://openalex.org/W3134384462","https://openalex.org/W2125094050","https://openalex.org/W2540137049"],"abstract_inverted_index":{"The":[0,57,71,99,153],"advances":[1],"in":[2,17],"data":[3,10],"collection":[4],"increase":[5],"the":[6,9,12,50,67,78,91,128,146,157,163],"dimensionality":[7],"of":[8,15,93,141],"(i.e.":[11],"total":[13],"number":[14,140],"features)":[16],"many":[18,25],"fields,":[19],"which":[20,87],"arises":[21],"a":[22,33,45,61,83,137],"challenge":[23],"to":[24,89,135],"existing":[26],"feature":[27,35,54,111,118],"selection":[28,36,55,112,119],"approaches.":[29,98],"This":[30],"paper":[31],"develops":[32],"new":[34],"approach":[37,101,155],"based":[38,63,85,110,160],"on":[39,77,122],"particle":[40],"swarm":[41],"optimisation":[42],"(PSO)":[43],"and":[44,81,96,104,114,143,162],"local":[46,72],"search":[47,73],"that":[48,127],"mimics":[49],"typical":[51,116],"backward":[52],"elimination":[53],"method.":[56],"proposed":[58,100,129,154],"algorithm":[59,130],"uses":[60,82],"wrapper":[62,97],"fitness":[64],"function,":[65],"i.e.":[66],"classification":[68,147],"error":[69],"rate.":[70],"is":[74,102],"performed":[75],"only":[76],"global":[79],"best":[80],"filter":[84,95],"measure,":[86],"aims":[88],"take":[90],"advantages":[92],"both":[94],"tested":[103],"compared":[105],"with":[106],"three":[107,158],"recent":[108],"PSO":[109,159],"algorithms":[113,161],"two":[115,164],"traditional":[117,165],"methods.":[120,166],"Experiments":[121],"eight":[123],"benchmark":[124],"datasets":[125],"show":[126],"can":[131],"be":[132],"successfully":[133],"used":[134],"select":[136],"significantly":[138],"smaller":[139],"features":[142],"simultaneously":[144],"improve":[145],"performance":[148],"over":[149],"using":[150],"all":[151],"features.":[152],"outperforms":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
