{"id":"https://openalex.org/W3003716372","doi":"https://doi.org/10.1142/s0218126620501959","title":"An Efficient Method for Selecting the Optimal Features using Evolutionary Algorithms for Epilepsy Diagnosis","display_name":"An Efficient Method for Selecting the Optimal Features using Evolutionary Algorithms for Epilepsy Diagnosis","publication_year":2020,"publication_date":"2020-01-30","ids":{"openalex":"https://openalex.org/W3003716372","doi":"https://doi.org/10.1142/s0218126620501959","mag":"3003716372"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126620501959","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126620501959","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5047415628","display_name":"Sajjad Afrakhteh","orcid":"https://orcid.org/0000-0002-4184-9436"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"S. Afrakhteh","raw_affiliation_strings":["Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran"],"raw_orcid":"https://orcid.org/0000-0002-4184-9436","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051565697","display_name":"M. R. Mosavi","orcid":"https://orcid.org/0000-0002-2389-644X"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. R. Mosavi","raw_affiliation_strings":["Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran","institution_ids":["https://openalex.org/I67009956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047415628"],"corresponding_institution_ids":["https://openalex.org/I67009956"],"apc_list":null,"apc_paid":null,"fwci":0.9135,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71588511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":"12","first_page":"2050195","last_page":"2050195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9968000054359436,"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/T10320","display_name":"Neural Networks and Applications","score":0.991100013256073,"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/computer-science","display_name":"Computer science","score":0.7495620846748352},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6055803894996643},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.552290678024292},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5375255346298218},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5368343591690063},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5226442813873291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5202528238296509},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5177892446517944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47555893659591675},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4729428291320801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4674663841724396},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.466635525226593},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4172329902648926},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.27851200103759766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495620846748352},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6055803894996643},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.552290678024292},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5375255346298218},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5368343591690063},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5226442813873291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5202528238296509},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5177892446517944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47555893659591675},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4729428291320801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4674663841724396},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.466635525226593},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4172329902648926},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.27851200103759766},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126620501959","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126620501959","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4399999976158142,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1498584892","https://openalex.org/W1541288193","https://openalex.org/W1792486605","https://openalex.org/W1856699664","https://openalex.org/W1870481460","https://openalex.org/W1941809881","https://openalex.org/W1964835716","https://openalex.org/W1985258161","https://openalex.org/W1986810629","https://openalex.org/W2000548777","https://openalex.org/W2005292390","https://openalex.org/W2050399271","https://openalex.org/W2065004162","https://openalex.org/W2080966422","https://openalex.org/W2080968155","https://openalex.org/W2081873429","https://openalex.org/W2094408206","https://openalex.org/W2096166399","https://openalex.org/W2102831150","https://openalex.org/W2105628133","https://openalex.org/W2124258777","https://openalex.org/W2126774578","https://openalex.org/W2135458935","https://openalex.org/W2142280324","https://openalex.org/W2149454242","https://openalex.org/W2149991085","https://openalex.org/W2151699048","https://openalex.org/W2152195021","https://openalex.org/W2156732627","https://openalex.org/W2159505773","https://openalex.org/W2166306684","https://openalex.org/W2172196383","https://openalex.org/W2296662953","https://openalex.org/W2543580944","https://openalex.org/W2600746833","https://openalex.org/W2612709282","https://openalex.org/W2802292836","https://openalex.org/W2803701473","https://openalex.org/W2887184398","https://openalex.org/W2887278211","https://openalex.org/W2889538283","https://openalex.org/W2895081129","https://openalex.org/W2896433797","https://openalex.org/W2932540922","https://openalex.org/W2964278775","https://openalex.org/W4239510810","https://openalex.org/W4249247926","https://openalex.org/W4250503569","https://openalex.org/W4285719527","https://openalex.org/W4292083457"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W1616854372","https://openalex.org/W1969223073","https://openalex.org/W2106231951"],"abstract_inverted_index":{"One":[0],"of":[1,32,38,60,69,71,81,96,103,161,193,201,222],"the":[2,6,36,44,52,58,63,67,72,82,88,101,104,109,121,127,133,138,146,152,172,191,199,202,209,220,223],"important":[3],"parameters":[4],"in":[5,87],"brain\u2013computer":[7],"interface":[8],"(BCI)":[9],"system":[10,22,73,105,162,166,203],"is":[11,15,35,125,197,204,212],"speed.":[12],"Therefore,":[13,76],"it":[14,216],"always":[16],"desirable":[17],"to":[18,42,74,180,219],"design":[19],"a":[20,94,159,181],"high-speed":[21],"that":[23,84,189],"has":[24],"an":[25],"acceptable":[26],"performance,":[27],"simultaneously.":[28],"The":[29,56,186],"main":[30],"idea":[31],"this":[33,116],"paper":[34],"use":[37],"evolutionary":[39],"algorithms":[40],"(EAs)":[41],"select":[43,115],"optimal":[45,147],"features":[46,61,83,111,134,148,177],"for":[47],"epilepsy":[48],"diagnosis":[49],"by":[50,118],"processing":[51],"electroencephalogram":[53],"(EEG)":[54],"signals.":[55],"lesser":[57],"number":[59],"is,":[62],"higher":[64,206],"will":[65],"be":[66],"usefulness":[68],"accuracy":[70],"us.":[75],"here,":[77],"using":[78,137],"EAs,":[79],"some":[80],"are":[85,106,112,178],"redundant":[86],"data":[89],"and":[90,98,108,144,164,195],"do":[91],"not":[92],"contain":[93],"lot":[95,160],"information":[97],"only":[99,213],"increase":[100],"complexity":[102,163,221],"eliminated":[107],"best":[110],"chosen.":[113],"We":[114],"choice":[117],"EAs.":[119],"Running":[120],"feature":[122,128,154],"selection":[123],"step":[124],"after":[126],"extraction":[129],"step.":[130],"In":[131],"fact,":[132],"were":[135,149],"extracted":[136,153],"common":[139],"spatial":[140],"pattern":[141],"(CSP)":[142],"algorithm,":[143],"then":[145],"selected":[150,176],"from":[151],"set.":[155],"This":[156],"can":[157],"save":[158],"reduce":[165],"execution":[167],"time":[168],"considerably.":[169],"Finally,":[170],"at":[171],"diagnostic":[173],"stage,":[174],"these":[175],"given":[179],"simple":[182],"neural":[183],"network":[184],"(NN).":[185],"results":[187],"showed":[188],"when":[190,208],"combination":[192],"EA":[194],"CSP":[196,210],"used,":[198,214],"precision":[200],"much":[205],"than":[207],"method":[211],"although":[215],"contributes":[217],"significantly":[218],"system.":[224]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
