{"id":"https://openalex.org/W3217452736","doi":"https://doi.org/10.1080/09540091.2021.2002266","title":"A conditional opposition-based particle swarm optimisation for feature selection","display_name":"A conditional opposition-based particle swarm optimisation for feature selection","publication_year":2021,"publication_date":"2021-11-22","ids":{"openalex":"https://openalex.org/W3217452736","doi":"https://doi.org/10.1080/09540091.2021.2002266","mag":"3217452736"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2021.2002266","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2002266","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2002266?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2002266?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007160230","display_name":"Jingwei Too","orcid":"https://orcid.org/0000-0001-6908-1038"},"institutions":[{"id":"https://openalex.org/I32589535","display_name":"Technical University of Malaysia Malacca","ror":"https://ror.org/01xb6rs26","country_code":"MY","type":"education","lineage":["https://openalex.org/I32589535"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Jingwei Too","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-6908-1038","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia","institution_ids":["https://openalex.org/I32589535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003286788","display_name":"Ali Safaa Sadiq","orcid":null},"institutions":[{"id":"https://openalex.org/I119664326","display_name":"University of Wolverhampton","ror":"https://ror.org/01k2y1055","country_code":"GB","type":"education","lineage":["https://openalex.org/I119664326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Safaa Sadiq","raw_affiliation_strings":["Wolverhampton Cyber Research Institute, School of Mathematics and Computer Science, University of Wolverhampton, Wolverhampton, UK"],"raw_orcid":"https://orcid.org/0000-0002-5746-0257","affiliations":[{"raw_affiliation_string":"Wolverhampton Cyber Research Institute, School of Mathematics and Computer Science, University of Wolverhampton, Wolverhampton, UK","institution_ids":["https://openalex.org/I119664326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071437793","display_name":"Seyed Mohammad Mirjalili","orcid":"https://orcid.org/0000-0002-5364-2715"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Seyed Mohammad Mirjalili","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montr\u00e9al, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5364-2715","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007160230"],"corresponding_institution_ids":["https://openalex.org/I32589535"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":2.4567,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90880781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"34","issue":"1","first_page":"339","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9933000206947327,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9919999837875366,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8159008026123047},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.7103140354156494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860744953155518},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6317877769470215},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.6178367137908936},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5795440077781677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49534979462623596},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45854452252388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4425925016403198},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4391374886035919},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.42824459075927734},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4272300899028778},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3825700581073761},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3334190845489502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14905184507369995}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8159008026123047},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7103140354156494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860744953155518},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6317877769470215},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.6178367137908936},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5795440077781677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49534979462623596},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45854452252388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4425925016403198},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4391374886035919},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.42824459075927734},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4272300899028778},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3825700581073761},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3334190845489502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14905184507369995},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/09540091.2021.2002266","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2002266","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2002266?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dccd2fed9acc40fdbf35bf2b3263a816","is_oa":false,"landing_page_url":"https://doaj.org/article/dccd2fed9acc40fdbf35bf2b3263a816","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 34, Iss 1, Pp 339-361 (2022)","raw_type":"article"},{"id":"pmh:oai:wlv.openrepository.com:2436/624432","is_oa":true,"landing_page_url":"http://hdl.handle.net/2436/624432","pdf_url":null,"source":{"id":"https://openalex.org/S4306401000","display_name":"Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119664326","host_organization_name":"University of Wolverhampton","host_organization_lineage":["https://openalex.org/I119664326"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"34","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2021.2002266","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2002266","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2002266?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3217452736.pdf","grobid_xml":"https://content.openalex.org/works/W3217452736.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W883434633","https://openalex.org/W902105996","https://openalex.org/W1444952417","https://openalex.org/W1543715688","https://openalex.org/W1564285798","https://openalex.org/W1995972800","https://openalex.org/W2004338242","https://openalex.org/W2018700453","https://openalex.org/W2020355555","https://openalex.org/W2020634673","https://openalex.org/W2030363461","https://openalex.org/W2031183907","https://openalex.org/W2061438946","https://openalex.org/W2068431618","https://openalex.org/W2072955302","https://openalex.org/W2086208228","https://openalex.org/W2093799708","https://openalex.org/W2105990447","https://openalex.org/W2125213524","https://openalex.org/W2131077880","https://openalex.org/W2140491475","https://openalex.org/W2143560894","https://openalex.org/W2282226143","https://openalex.org/W2290671409","https://openalex.org/W2364240738","https://openalex.org/W2552750372","https://openalex.org/W2607099977","https://openalex.org/W2612473079","https://openalex.org/W2613166207","https://openalex.org/W2738900493","https://openalex.org/W2745838971","https://openalex.org/W2789583979","https://openalex.org/W2794247594","https://openalex.org/W2800384987","https://openalex.org/W2808223626","https://openalex.org/W2809104979","https://openalex.org/W2890971189","https://openalex.org/W2899901712","https://openalex.org/W2915745584","https://openalex.org/W2921893399","https://openalex.org/W2941951094","https://openalex.org/W2961164327","https://openalex.org/W2969323609","https://openalex.org/W2981874965","https://openalex.org/W2992674204","https://openalex.org/W2997786303","https://openalex.org/W3004565805","https://openalex.org/W3011552424","https://openalex.org/W3017680587","https://openalex.org/W3023149700","https://openalex.org/W3025569572","https://openalex.org/W3033768870","https://openalex.org/W3039653985","https://openalex.org/W3083171042","https://openalex.org/W3127432888","https://openalex.org/W3158867638","https://openalex.org/W4234539979","https://openalex.org/W4250503569","https://openalex.org/W4254426560","https://openalex.org/W4300106150"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2950423922","https://openalex.org/W2116074880","https://openalex.org/W2161494499","https://openalex.org/W2121780490","https://openalex.org/W2070977815","https://openalex.org/W2137136732","https://openalex.org/W2132113279"],"abstract_inverted_index":{"Because":[0],"of":[1,4,15,40,91,128,142,159],"the":[2,13,31,38,75,89,126,129,140,143,157,160],"existence":[3],"irrelevant,":[5],"redundant,":[6],"and":[7,70,79,106,119],"noisy":[8],"attributes":[9],"in":[10,165,172],"large":[11],"datasets,":[12],"accuracy":[14,169],"a":[16,25,45,98,110],"classification":[17,42],"model":[18],"has":[19,52],"degraded.":[20],"Hence,":[21],"feature":[22,57,112,174],"selection":[23,58],"is":[24,81,104],"necessary":[26],"pre-processing":[27],"stage":[28],"to":[29,55,65,108,124,138],"select":[30],"important":[32],"features":[33],"that":[34,85],"may":[35],"considerably":[36],"increase":[37],"efficiency":[39],"underlying":[41],"algorithms.":[43],"As":[44],"popular":[46],"metaheuristic":[47],"algorithm,":[48],"particle":[49,61,92,101,130],"swarm":[50,62,93,102,131],"optimisation":[51,63,103],"successfully":[53],"applied":[54],"various":[56],"approaches.":[59],"Nevertheless,":[60],"tends":[64],"suffer":[66],"from":[67],"immature":[68],"convergence":[69,72],"low":[71],"rate.":[73],"Besides,":[74],"imbalance":[76],"between":[77],"exploration":[78],"exploitation":[80],"another":[82],"key":[83],"issue":[84],"can":[86],"significantly":[87],"affect":[88],"performance":[90,127,141,152],"optimisation.":[94,132],"In":[95],"this":[96],"paper,":[97],"conditional":[99,120],"opposition-based":[100,117],"proposed":[105,144,161],"used":[107,137],"develop":[109],"wrapper":[111],"selection.":[113],"Two":[114],"schemes,":[115],"namely":[116],"learning":[118],"strategy":[121],"are":[122,136,149],"introduced":[123],"enhance":[125],"Twenty-four":[133],"benchmark":[134],"datasets":[135],"validate":[139],"approach.":[145],"Furthermore,":[146],"nine":[147],"metaheuristics":[148],"chosen":[150],"for":[151],"verification.":[153],"The":[154],"findings":[155],"show":[156],"supremacy":[158],"approach":[162],"not":[163],"only":[164],"obtaining":[166],"high":[167],"prediction":[168],"but":[170],"also":[171],"small":[173],"sizes.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
