{"id":"https://openalex.org/W2167940608","doi":"https://doi.org/10.1109/icassp.2011.5946916","title":"Feature selection through gravitational search algorithm","display_name":"Feature selection through gravitational search algorithm","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2167940608","doi":"https://doi.org/10.1109/icassp.2011.5946916","mag":"2167940608"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5003275797","display_name":"Jo\u00e3o Paulo Papa","orcid":"https://orcid.org/0000-0002-6494-7514"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"J. P. Papa","raw_affiliation_strings":["Department of Computing, UNESP-Universidade Estadual Paulista, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, UNESP-Universidade Estadual Paulista, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079127539","display_name":"Andre F. Pagnin","orcid":null},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A. Pagnin","raw_affiliation_strings":["Department of Computing, UNESP-Universidade Estadual Paulista, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, UNESP-Universidade Estadual Paulista, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021136830","display_name":"Silvana Artioli Schellini","orcid":"https://orcid.org/0000-0002-6938-1230"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"S. A. Schellini","raw_affiliation_strings":["Department of Computing, UNESP-Universidade Estadual Paulista, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, UNESP-Universidade Estadual Paulista, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016534134","display_name":"Andr\u00e9 Augusto Spadotto","orcid":"https://orcid.org/0000-0002-8366-8940"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A. Spadotto","raw_affiliation_strings":["Institute of Mathematics and Computer Science s, University of S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science s, University of S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056328000","display_name":"Rodrigo Capobianco Guido","orcid":"https://orcid.org/0000-0002-0924-8024"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. C. Guido","raw_affiliation_strings":["Institute of Mathematics and Computer Science s, University of S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science s, University of S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029845097","display_name":"Moacir Antonelli Ponti","orcid":"https://orcid.org/0000-0003-2059-9463"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M. Ponti","raw_affiliation_strings":["Institute of Mathematics and Computer Science s, University of S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science s, University of S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019589690","display_name":"Giovani Chiachia","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"G. Chiachia","raw_affiliation_strings":["Institute of Computing, State University of Campinas-UNICAMP, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, State University of Campinas-UNICAMP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015267493","display_name":"Alexandre X. Falc\u00e3o","orcid":"https://orcid.org/0000-0002-2914-5380"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A. X. Falcao","raw_affiliation_strings":["Institute of Computing, State University of Campinas-UNICAMP, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, State University of Campinas-UNICAMP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5003275797"],"corresponding_institution_ids":["https://openalex.org/I879563668"],"apc_list":null,"apc_paid":null,"fwci":4.5044,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.95035943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2052","last_page":"2055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9911999702453613,"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/T11220","display_name":"Water Systems and Optimization","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/feature-selection","display_name":"Feature selection","score":0.717797040939331},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6748756766319275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6464364528656006},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6263643503189087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6217261552810669},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6041918396949768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5441840291023254},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5364160537719727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5201907157897949},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4971607029438019},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4870951175689697},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43107494711875916}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.717797040939331},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6748756766319275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6464364528656006},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6263643503189087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6217261552810669},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6041918396949768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5441840291023254},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5364160537719727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5201907157897949},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4971607029438019},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4870951175689697},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43107494711875916},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:acervodigital.unesp.br:11449/12545","is_oa":false,"landing_page_url":"http://hdl.handle.net/11449/12545","pdf_url":null,"source":{"id":"https://openalex.org/S4306400256","display_name":"Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210115194","host_organization_name":"Funda\u00e7\u00e3o para o Desenvolvimento da UNESP","host_organization_lineage":["https://openalex.org/I4210115194"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"outro"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2047822984","https://openalex.org/W2055631528","https://openalex.org/W2072955302","https://openalex.org/W2087327261","https://openalex.org/W2135106139","https://openalex.org/W2140057631","https://openalex.org/W2143153057","https://openalex.org/W2151103935","https://openalex.org/W2543743110","https://openalex.org/W3120740533","https://openalex.org/W4248916828","https://openalex.org/W6680272842"],"related_works":["https://openalex.org/W2052589448","https://openalex.org/W2765337000","https://openalex.org/W3104072235","https://openalex.org/W2391447249","https://openalex.org/W2312955079","https://openalex.org/W2350996391","https://openalex.org/W2066119650","https://openalex.org/W2059615944","https://openalex.org/W4224057882","https://openalex.org/W2998259334"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"deal":[4],"with":[5,32],"the":[6,26,33,81,84],"problem":[7],"of":[8,29,35,60,83],"feature":[9,50,104],"selection":[10],"by":[11],"introducing":[12],"a":[13,44,57,97],"new":[14],"approach":[15],"based":[16],"on":[17,53],"Gravitational":[18],"Search":[19],"Algorithm":[20],"(GSA).":[21],"The":[22],"proposed":[23,85],"algorithm":[24,102],"combines":[25],"optimization":[27],"behavior":[28],"GSA":[30],"together":[31],"speed":[34],"Optimum-Path":[36],"Forest":[37],"(OPF)":[38],"classifier":[39],"in":[40,71,77],"order":[41,78],"to":[42,79],"provide":[43],"fast":[45],"and":[46,68,96],"accurate":[47],"framework":[48],"for":[49,103],"selection.":[51,105],"Experiments":[52],"datasets":[54],"obtained":[55],"from":[56],"wide":[58],"range":[59],"applications,":[61],"such":[62],"as":[63],"vowel":[64],"recognition,":[65],"image":[66],"classification":[67],"fraud":[69],"detection":[70],"power":[72],"distribution":[73],"systems":[74],"are":[75],"conducted":[76],"asses":[80],"robustness":[82],"technique":[86],"against":[87],"Principal":[88],"Component":[89],"Analysis":[90,94],"(PCA),":[91],"Linear":[92],"Discriminant":[93],"(LDA)":[95],"Particle":[98],"Swarm":[99],"Optimization":[100],"(PSO)-based":[101]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}