{"id":"https://openalex.org/W1996236895","doi":"https://doi.org/10.1109/cec.2013.6557662","title":"Feature selection by Differential Evolution algorithm - A case study in personnel identification","display_name":"Feature selection by Differential Evolution algorithm - A case study in personnel identification","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1996236895","doi":"https://doi.org/10.1109/cec.2013.6557662","mag":"1996236895"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2013.6557662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","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/A5022905490","display_name":"Kingshuk Chakravarty","orcid":"https://orcid.org/0000-0001-5375-7953"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kingshuk Chakravarty","raw_affiliation_strings":["Innovation Lab, Tata Consultancy Services Limited, India","Innovation Labs, Tata Consultancy Services Ltd, India"],"affiliations":[{"raw_affiliation_string":"Innovation Lab, Tata Consultancy Services Limited, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Innovation Labs, Tata Consultancy Services Ltd, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459320","display_name":"Diptesh Das","orcid":"https://orcid.org/0000-0002-6736-9596"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Diptesh Das","raw_affiliation_strings":["Innovation Lab, Tata Consultancy Services Limited, India","Innovation Labs, Tata Consultancy Services Ltd, India"],"affiliations":[{"raw_affiliation_string":"Innovation Lab, Tata Consultancy Services Limited, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Innovation Labs, Tata Consultancy Services Ltd, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034140949","display_name":"Aniruddha Sinha","orcid":"https://orcid.org/0000-0002-4679-3806"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aniruddha Sinha","raw_affiliation_strings":["Innovation Lab, Tata Consultancy Services Limited, India","Innovation Labs, Tata Consultancy Services Ltd, India"],"affiliations":[{"raw_affiliation_string":"Innovation Lab, Tata Consultancy Services Limited, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Innovation Labs, Tata Consultancy Services Ltd, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011939964","display_name":"Amit Konar","orcid":"https://orcid.org/0000-0002-9474-5956"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Konar","raw_affiliation_strings":["Electronics & Telecommunication Engineering Department, Jadavpur University, India","[Electronics and Telecommunication Engineering Department, Jadavpur University, India]"],"affiliations":[{"raw_affiliation_string":"Electronics & Telecommunication Engineering Department, Jadavpur University, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"[Electronics and Telecommunication Engineering Department, Jadavpur University, India]","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022905490"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":1.3843,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83338524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"892","last_page":"899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9947999715805054,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9947999715805054,"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/T10860","display_name":"Speech and Audio Processing","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9692999720573425,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.67181396484375},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6331770420074463},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6051821708679199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6017160415649414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5977035164833069},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5599415302276611},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4528454542160034},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4368545413017273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4303390383720398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2869694232940674},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11194068193435669}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67181396484375},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6331770420074463},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6051821708679199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017160415649414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5977035164833069},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5599415302276611},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4528454542160034},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4368545413017273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4303390383720398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2869694232940674},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11194068193435669},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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.2013.6557662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W90353859","https://openalex.org/W155003979","https://openalex.org/W1502251266","https://openalex.org/W1595159159","https://openalex.org/W1701067754","https://openalex.org/W1995450389","https://openalex.org/W1996747841","https://openalex.org/W2021943136","https://openalex.org/W2105458732","https://openalex.org/W2113076747","https://openalex.org/W2123636872","https://openalex.org/W3215991109","https://openalex.org/W4285719527","https://openalex.org/W4292023222","https://openalex.org/W4313169793","https://openalex.org/W6603697666","https://openalex.org/W6606282912","https://openalex.org/W6804746983"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W4252337044","https://openalex.org/W148178222","https://openalex.org/W118630527","https://openalex.org/W38289631","https://openalex.org/W4298130764","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Feature":[0],"selection":[1],"is":[2,53,75,86,133],"an":[3,27],"important":[4],"area":[5],"of":[6,19,58,61,64,102,106,114,128,139],"research":[7],"as":[8],"it":[9],"has":[10],"a":[11,46,111],"tremendous":[12],"effect":[13],"on":[14,154,169],"the":[15,35,56,62,83,94,103,107,115,119,137,140,147,183],"accuracy":[16,127],"and":[17,40,66,161],"performance":[18,138],"classification":[20,126],"algorithms.":[21],"In":[22],"this":[23],"paper":[24],"we":[25],"propose":[26],"objective":[28,73],"function":[29,74],"for":[30,69],"feature":[31,38,43],"selection,":[32],"which":[33],"combines":[34],"intra":[36],"class":[37,42,51],"variation":[39],"inter":[41,50],"distance":[44,52],"using":[45,55,77,88,174],"Lagrangian":[47,108],"multiplier.":[48],"The":[49,72,125,143,164],"measured":[54],"sum":[57],"absolute":[59],"difference":[60],"ratio":[63],"mean":[65],"standard":[67],"deviation":[68],"respective":[70],"classes.":[71],"minimized":[76],"Differential":[78],"Evolutionary":[79],"(DE)":[80],"Algorithm":[81],"where":[82],"population":[84],"vector":[85],"encoded":[87],"Binary":[89],"Encoded":[90],"Decimal":[91],"to":[92,135],"avoid":[93],"float":[95],"number":[96],"optimization":[97,123],"problem.":[98],"An":[99],"automatic":[100],"clustering":[101],"possible":[104],"values":[105],"multiplier":[109],"provides":[110],"detailed":[112],"insight":[113],"selected":[116,141],"features":[117],"during":[118],"proposed":[120,144],"DE":[121,149],"based":[122,150,171],"process.":[124],"Support":[129],"Vector":[130],"Machine":[131],"(SVM)":[132],"used":[134],"measure":[136],"features.":[142],"algorithm":[145,166],"outperforms":[146],"existing":[148],"approaches":[151],"when":[152,167],"tested":[153],"IRIS,":[155],"Wine,":[156],"Wisconsin":[157],"Breast":[158],"Cancer,":[159],"Sonar":[160],"Ionosphere":[162],"datasets.":[163],"same":[165],"applied":[168],"gait":[170],"people":[172],"identification,":[173],"skeleton":[175],"datapoints":[176],"obtained":[177],"from":[178],"Microsoft":[179],"Kinect":[180],"sensor,":[181],"exceeds":[182],"previously":[184],"reported":[185],"accuracies.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}