{"id":"https://openalex.org/W2897227884","doi":"https://doi.org/10.1109/cec.2018.8477705","title":"Quantum-inspired Evolutionary Algorithm for Feature Selection in Motor Imagery EEG Classification","display_name":"Quantum-inspired Evolutionary Algorithm for Feature Selection in Motor Imagery EEG Classification","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897227884","doi":"https://doi.org/10.1109/cec.2018.8477705","mag":"2897227884"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","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/A5042804886","display_name":"Alimed Celecia","orcid":"https://orcid.org/0000-0001-9889-795X"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alimed Celecia Ramos","raw_affiliation_strings":["Electrical Engineering Department, PUC-Rio, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, PUC-Rio, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085598532","display_name":"Marley Vellasco","orcid":"https://orcid.org/0000-0002-9790-1328"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marley Vellasco","raw_affiliation_strings":["Electrical Engineering Department, PUC-Rio, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, PUC-Rio, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1553,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.77286166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9944000244140625,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249116897583008},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7017741203308105},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6486734747886658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5931481719017029},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5303493142127991},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.49175217747688293},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4780605137348175},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4447788596153259},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44086581468582153},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.4346421957015991},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4243320822715759},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3900725841522217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3755917549133301},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3418043255805969},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.2859826683998108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249116897583008},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7017741203308105},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6486734747886658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5931481719017029},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5303493142127991},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.49175217747688293},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4780605137348175},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4447788596153259},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44086581468582153},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.4346421957015991},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4243320822715759},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3900725841522217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3755917549133301},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3418043255805969},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.2859826683998108},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2018.8477705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322749","display_name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro","ror":"https://ror.org/03kk0s825"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1493556863","https://openalex.org/W1514116686","https://openalex.org/W1519014652","https://openalex.org/W1546000970","https://openalex.org/W1570552807","https://openalex.org/W1915431000","https://openalex.org/W1990514347","https://openalex.org/W2005791255","https://openalex.org/W2010113720","https://openalex.org/W2018229832","https://openalex.org/W2019985891","https://openalex.org/W2026979147","https://openalex.org/W2039930961","https://openalex.org/W2058979950","https://openalex.org/W2073788174","https://openalex.org/W2075647286","https://openalex.org/W2095488099","https://openalex.org/W2096189745","https://openalex.org/W2101865311","https://openalex.org/W2106231951","https://openalex.org/W2122274805","https://openalex.org/W2126427945","https://openalex.org/W2157690157","https://openalex.org/W2158573165","https://openalex.org/W2159667012","https://openalex.org/W2164734029","https://openalex.org/W2169747626","https://openalex.org/W2270498221","https://openalex.org/W2343420905","https://openalex.org/W2423195739","https://openalex.org/W2520065525","https://openalex.org/W2597999477","https://openalex.org/W2598941218","https://openalex.org/W2734670032","https://openalex.org/W2736528550","https://openalex.org/W2736583283","https://openalex.org/W2941371644","https://openalex.org/W2984633554","https://openalex.org/W4240190378","https://openalex.org/W6630547803","https://openalex.org/W6630904707","https://openalex.org/W6652883923","https://openalex.org/W6683523906","https://openalex.org/W6684986396","https://openalex.org/W6717800251","https://openalex.org/W6761373719"],"related_works":["https://openalex.org/W2547848286","https://openalex.org/W2546939201","https://openalex.org/W2542354426","https://openalex.org/W2544632397","https://openalex.org/W4285805405","https://openalex.org/W85101999","https://openalex.org/W1560122427","https://openalex.org/W2102580788","https://openalex.org/W2391924736","https://openalex.org/W2141433557"],"abstract_inverted_index":{"In":[0,158,177],"Brain-Computer":[1,92],"Interfaces,":[2],"one":[3],"of":[4,12,15,33,45,49,61,78,122,147,191],"the":[5,10,20,31,34,37,42,46,50,59,76,106,118,123,127,139,151,178,188,192],"most":[6,51],"relevant":[7],"tasks":[8],"is":[9,58,165,184,200],"selection":[11,108],"a":[13,66,79,84,145,161,195,203],"subset":[14],"features":[16],"that":[17,111],"efficiently":[18],"describes":[19],"EEG":[21],"signal,":[22],"excluding":[23],"redundant":[24],"and":[25,40,120,136,156,167,194],"irrelevant":[26],"features.":[27],"This":[28],"procedure":[29],"reduces":[30],"dimensionality":[32,38],"dataset":[35],"(avoiding":[36],"curse)":[39],"improves":[41],"classification":[43],"accuracy":[44],"system.":[47],"One":[48],"successful":[52],"models":[53,70],"applied":[54],"for":[55,87,105],"this":[56,159],"task":[57],"use":[60],"an":[62,101],"Evolutionary":[63,97,115,163],"Algorithm":[64,164],"in":[65,117],"wrapper":[67,103],"approach.":[68],"These":[69,132],"produce":[71],"excellent":[72],"results":[73],"but":[74],"present":[75],"drawback":[77],"considerable":[80],"high":[81],"processing":[82],"time,":[83],"critical":[85],"limitation":[86],"its":[88],"application":[89],"on":[90],"real":[91],"Interfaces":[93],"(BCI)":[94],"systems.":[95],"Quantum-inspired":[96,162],"Algorithms":[98,116],"can":[99],"be":[100],"alternative":[102],"approach":[104],"feature":[107],"task,":[109],"given":[110],"they":[112],"outperform":[113],"classical":[114,152],"exploration":[119],"exploitation":[121],"search":[124],"space,":[125],"obtaining":[126],"global":[128],"solution":[129],"much":[130],"faster.":[131],"algorithm":[133],"employs":[134],"concepts":[135],"principles":[137],"from":[138,173],"Quantum":[140],"Mechanics":[141],"to":[142,186],"probabilistically":[143],"describe":[144],"set":[146],"different":[148,171],"states":[149,154],"between":[150],"logic":[153],"0":[155],"1.":[157],"paper,":[160],"developed":[166],"tested":[168],"over":[169],"three":[170],"subjects":[172],"publicly":[174],"available":[175],"datasets.":[176],"proposed":[179],"model,":[180],"Wavelet":[181],"Packet":[182],"Decomposition":[183],"employed":[185,201],"analyze":[187],"time-frequency":[189],"characteristics":[190],"signals,":[193],"Multilayer":[196],"Perceptron":[197],"Neural":[198],"Network":[199],"as":[202],"classifier.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}