{"id":"https://openalex.org/W4312688523","doi":"https://doi.org/10.1109/tevc.2022.3222297","title":"Region Purity-Based Local Feature Selection: A Multiobjective Perspective","display_name":"Region Purity-Based Local Feature Selection: A Multiobjective Perspective","publication_year":2022,"publication_date":"2022-11-16","ids":{"openalex":"https://openalex.org/W4312688523","doi":"https://doi.org/10.1109/tevc.2022.3222297"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2022.3222297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3222297","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","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/A5048421704","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-3224-0063"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3224-0063","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567946","display_name":"Qiu Yan","orcid":"https://orcid.org/0009-0002-7907-8988"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Qiu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.674,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9393905,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"27","issue":"4","first_page":"787","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T10057","display_name":"Face and Expression Recognition","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.949999988079071,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7096443772315979},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6579978466033936},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6040458679199219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5400432348251343},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.531895637512207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5174963474273682},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5127876400947571},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5097188353538513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5038914084434509},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4629693031311035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3613603711128235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3397572636604309},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2761070728302002}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7096443772315979},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6579978466033936},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6040458679199219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5400432348251343},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.531895637512207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174963474273682},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5127876400947571},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5097188353538513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5038914084434509},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4629693031311035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3613603711128235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3397572636604309},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2761070728302002},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2022.3222297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3222297","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G3138428343","display_name":null,"funder_award_id":"JCYJ2020010911041013","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G8744723245","display_name":null,"funder_award_id":"61702336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1418108976","https://openalex.org/W1496714509","https://openalex.org/W1552277208","https://openalex.org/W1607660464","https://openalex.org/W1619226191","https://openalex.org/W1680392829","https://openalex.org/W1808644423","https://openalex.org/W1977405350","https://openalex.org/W1996228877","https://openalex.org/W1997614304","https://openalex.org/W2013885787","https://openalex.org/W2015932775","https://openalex.org/W2022485595","https://openalex.org/W2055025427","https://openalex.org/W2063910191","https://openalex.org/W2072026441","https://openalex.org/W2093010752","https://openalex.org/W2096166399","https://openalex.org/W2126105956","https://openalex.org/W2126726281","https://openalex.org/W2132795055","https://openalex.org/W2143043751","https://openalex.org/W2143381319","https://openalex.org/W2153654820","https://openalex.org/W2154053567","https://openalex.org/W2386210108","https://openalex.org/W2409949322","https://openalex.org/W2553769569","https://openalex.org/W2586902980","https://openalex.org/W2587641221","https://openalex.org/W2603242634","https://openalex.org/W2639370877","https://openalex.org/W2754840697","https://openalex.org/W2808993793","https://openalex.org/W2890843359","https://openalex.org/W2922000005","https://openalex.org/W2943480356","https://openalex.org/W2944258394","https://openalex.org/W2947240313","https://openalex.org/W2995632431","https://openalex.org/W3006921505","https://openalex.org/W3014064419","https://openalex.org/W3082583002","https://openalex.org/W3117528838","https://openalex.org/W3137665052","https://openalex.org/W3143219376","https://openalex.org/W4200120532","https://openalex.org/W4205713982","https://openalex.org/W4236137412","https://openalex.org/W6637386731","https://openalex.org/W6684759661","https://openalex.org/W6714502250","https://openalex.org/W6804583586"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W1943663474","https://openalex.org/W4322772558","https://openalex.org/W2014162767","https://openalex.org/W3006936859","https://openalex.org/W1987040457","https://openalex.org/W2378502887","https://openalex.org/W2184492720","https://openalex.org/W2731989356","https://openalex.org/W4285295674"],"abstract_inverted_index":{"In":[0,48,170],"contrast":[1],"to":[2,131],"the":[3,12,18,39,75,78,93,103,129,164],"traditional":[4],"feature":[5,19,138,190],"selection":[6],"(FS),":[7],"local":[8,23,97,143],"FS":[9,175],"(LFS)":[10],"partitions":[11],"whole":[13],"sample":[14],"space":[15],"and":[16,35,81,119,159,176],"obtains":[17],"subset":[20,191],"for":[21,133],"each":[22],"region.":[24],"However,":[25],"most":[26],"existing":[27],"LFS":[28,53,71,177],"algorithms":[29],"lack":[30],"a":[31,51,57,67,87,115,120,188],"problem-specific":[32],"objective":[33,41,89],"function":[34],"instead":[36],"simply":[37],"apply":[38],"distance-like":[40],"function,":[42,90],"which":[43,126,147],"limits":[44],"their":[45],"classification":[46,184],"performance.":[47],"addition,":[49],"obtaining":[50,187],"good":[52],"model":[54],"is":[55,112,145],"essentially":[56],"multiobjective":[58],"optimization":[59],"problem.":[60],"Therefore,":[61],"in":[62],"this":[63],"article,":[64],"we":[65,85],"propose":[66],"region":[68],"purity":[69],"(RP)-based":[70],"(RP-LFS)":[72],"where,":[73],"besides":[74],"proportion":[76],"of":[77,95,166],"selected":[79],"features":[80,98],"region-based":[82],"distance":[83],"metric,":[84],"design":[86],"novel":[88],"RP,":[91],"from":[92],"perspective":[94],"combining":[96],"with":[99,172],"classifiers.":[100],"To":[101],"solve":[102],"RP-LFS,":[104],"an":[105],"improved":[106],"nondominated":[107],"sorting":[108],"genetic":[109],"algorithm":[110],"III":[111],"proposed.":[113],"Specifically,":[114],"network-inspired":[116],"crossover":[117],"operator":[118],"quick":[121],"bit":[122],"mutation":[123],"are":[124],"applied,":[125],"can":[127,148,180],"improve":[128],"ability":[130],"search":[132],"better":[134],"solutions.":[135],"A":[136],"regional":[137],"sharing":[139],"strategy":[140],"between":[141],"different":[142],"models":[144],"developed,":[146],"preserve":[149],"more":[150],"effective":[151],"features.":[152],"Experimental":[153],"studies":[154],"on":[155],"11":[156],"UCI":[157],"datasets":[158,162],"nine":[160],"high-dimensional":[161],"validate":[163],"effectiveness":[165],"our":[167],"proposed":[168],"RP.":[169],"comparison":[171],"various":[173],"state-of-the-art":[174],"algorithms,":[178],"RP-LFS":[179],"achieve":[181],"very":[182],"competitive":[183],"accuracy":[185],"while":[186],"reduced":[189],"size.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
