{"id":"https://openalex.org/W4372215570","doi":"https://doi.org/10.1145/3584748.3584786","title":"Improved Binary Particle Swarm Optimization Based on Multi-Exemplar and Forgetting Ability Applied to Feature Selection","display_name":"Improved Binary Particle Swarm Optimization Based on Multi-Exemplar and Forgetting Ability Applied to Feature Selection","publication_year":2022,"publication_date":"2022-12-29","ids":{"openalex":"https://openalex.org/W4372215570","doi":"https://doi.org/10.1145/3584748.3584786"},"language":"en","primary_location":{"id":"doi:10.1145/3584748.3584786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584748.3584786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","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/A5042969749","display_name":"Huixian Qiu","orcid":"https://orcid.org/0000-0002-9318-814X"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Zhangzhou Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huixian Qiu","raw_affiliation_strings":["Minnan Normal University, China"],"affiliations":[{"raw_affiliation_string":"Minnan Normal University, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064740701","display_name":"Lei Tong","orcid":"https://orcid.org/0000-0002-5289-585X"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tong","raw_affiliation_strings":["Wuhan Business University, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Business University, China","institution_ids":["https://openalex.org/I4210111616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052969887","display_name":"Chengjin Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113530","display_name":"Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute","ror":"https://ror.org/01hf8qc75","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210113530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjin Yan","raw_affiliation_strings":["Hubei Institute of Spatial Planning, China"],"affiliations":[{"raw_affiliation_string":"Hubei Institute of Spatial Planning, China","institution_ids":["https://openalex.org/I4210113530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006869135","display_name":"Xuewen Xia","orcid":"https://orcid.org/0000-0002-4938-1479"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Zhangzhou Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Xia","raw_affiliation_strings":["Minnan Normal University, China"],"affiliations":[{"raw_affiliation_string":"Minnan Normal University, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009464910","display_name":"Jian Ding","orcid":"https://orcid.org/0000-0002-5823-1069"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Jian Ding","raw_affiliation_strings":["University of Malaya, Malaysia"],"affiliations":[{"raw_affiliation_string":"University of Malaya, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042969749"],"corresponding_institution_ids":["https://openalex.org/I9356336"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19091829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9934999942779541,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.98580002784729,"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/feature-selection","display_name":"Feature selection","score":0.7477070093154907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7006382346153259},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6939136981964111},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6274611353874207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5845834016799927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5271375179290771},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.503396213054657},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4988858699798584},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4496392607688904},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.43274497985839844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.355377197265625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3293291926383972},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3218470513820648},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.30236515402793884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13320034742355347}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7477070093154907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7006382346153259},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6939136981964111},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6274611353874207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5845834016799927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5271375179290771},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.503396213054657},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4988858699798584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4496392607688904},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.43274497985839844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.355377197265625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3293291926383972},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3218470513820648},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.30236515402793884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13320034742355347},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584748.3584786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584748.3584786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2083945868","https://openalex.org/W2132545397","https://openalex.org/W2528103328","https://openalex.org/W2813026946","https://openalex.org/W2897301007","https://openalex.org/W2907382309","https://openalex.org/W2970404044","https://openalex.org/W3000675402","https://openalex.org/W3004565805","https://openalex.org/W3086548118","https://openalex.org/W3087055935","https://openalex.org/W3128751695","https://openalex.org/W3134930606","https://openalex.org/W4205590002","https://openalex.org/W4206692153","https://openalex.org/W4248062477"],"related_works":["https://openalex.org/W2114356839","https://openalex.org/W3134384462","https://openalex.org/W2125094050","https://openalex.org/W2540137049","https://openalex.org/W2106492215","https://openalex.org/W2326694407","https://openalex.org/W2082859007","https://openalex.org/W2378719652","https://openalex.org/W2115729582","https://openalex.org/W2164831575"],"abstract_inverted_index":{"Feature":[0],"selection":[1,56,144],"can":[2],"eliminate":[3],"irrelevant,":[4],"redundant,":[5],"and":[6,13,102,164],"misleading":[7],"features":[8],"in":[9,45,130,159],"the":[10,15,54,78,92,99,106,110,113,127,137,154],"data":[11],"set,":[12],"improve":[14,91],"classification":[16,162],"performance":[17,44],"of":[18,58,95,105,112,118,146,161],"machine":[19,139],"learning":[20,140],"algorithms":[21],"while":[22],"reducing":[23],"their":[24],"computational":[25,165],"consumption,":[26],"effectively":[27],"avoiding":[28],"\"dimensional":[29],"disasters\".":[30],"The":[31,82,149],"multi-exemplar":[32],"particle":[33],"swarm":[34],"optimization":[35],"algorithm":[36,83,155],"with":[37,121],"forgetting":[38,93],"capability":[39],"(XPSO)":[40],"has":[41,49,156],"achieved":[42],"good":[43],"function":[46],"optimization,":[47],"but":[48],"not":[50],"been":[51],"applied":[52],"to":[53,76,90],"feature":[55,80,143],"problem":[57],"binary":[59,68],"variables.":[60],"In":[61],"this":[62,131],"paper,":[63],"an":[64],"XPSO":[65,72],"based":[66],"on":[67,126],"encoding,":[69],"named":[70],"Binary":[71],"(BXPSO)":[73],"is":[74],"proposed":[75,114,128],"solve":[77],"optimal":[79],"subset.":[81],"also":[84],"proposes":[85],"a":[86],"local":[87,100],"search":[88],"strategy":[89],"ability":[94],"different":[96,122,147],"particles,":[97],"balancing":[98],"exploitation":[101],"global":[103],"exploration":[104],"algorithm.":[107],"To":[108],"verify":[109],"effectiveness":[111],"algorithm,":[115],"multiple":[116],"sets":[117],"simulation":[119],"experiments":[120],"perspectives":[123],"are":[124],"conducted":[125],"method":[129],"paper":[132],"using":[133],"classical":[134],"datasets":[135],"from":[136],"UCI":[138],"repository":[141],"constituting":[142],"problems":[145],"dimensions.":[148],"experimental":[150],"results":[151],"show":[152],"that":[153],"competitive":[157],"advantages":[158],"terms":[160],"accuracy":[163],"performance.":[166]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}