{"id":"https://openalex.org/W1970343680","doi":"https://doi.org/10.1109/eurocon.2013.6625103","title":"Harmony search applied for support vector machines training optimization","display_name":"Harmony search applied for support vector machines training optimization","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1970343680","doi":"https://doi.org/10.1109/eurocon.2013.6625103","mag":"1970343680"},"language":"en","primary_location":{"id":"doi:10.1109/eurocon.2013.6625103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eurocon.2013.6625103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eurocon 2013","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6625103","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102013214","display_name":"Lu\u00eds A. M. Pereira","orcid":"https://orcid.org/0000-0002-0628-4847"},"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":"Luis A. M. Pereira","raw_affiliation_strings":["Department of Computing, University Estadual Paulista, Bauru, Sao Paulo, Brazil","Dept. of Comput., UNESP - Univ. Estadual Paulista, Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University Estadual Paulista, Bauru, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I879563668"]},{"raw_affiliation_string":"Dept. of Comput., UNESP - Univ. Estadual Paulista, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","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":false,"raw_author_name":"Joao Paulo Papa","raw_affiliation_strings":["Department of Computing, University Estadual Paulista, Bauru, Sao Paulo, Brazil","Dept. of Comput., UNESP - Univ. Estadual Paulista, Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University Estadual Paulista, Bauru, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I879563668"]},{"raw_affiliation_string":"Dept. of Comput., UNESP - Univ. Estadual Paulista, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102406041","display_name":"Andr\u00e9 Nunes de Souza","orcid":"https://orcid.org/0009-0005-8759-1441"},"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":"Andre N. de Souza","raw_affiliation_strings":["Department of Electrical Engineering, S\u00e3o Paulo State University, Sao Paulo, Sao Paulo, Brazil","Dept. of Electr. Eng., Sao Paulo State Univ., Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, S\u00e3o Paulo State University, Sao Paulo, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I879563668"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Sao Paulo State Univ., Sao Paulo, Brazil","institution_ids":["https://openalex.org/I879563668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102013214"],"corresponding_institution_ids":["https://openalex.org/I879563668"],"apc_list":null,"apc_paid":null,"fwci":2.9654,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91318582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"998","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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/harmony-search","display_name":"Harmony search","score":0.7858800888061523},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7857638597488403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7157252430915833},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6700044870376587},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6578512191772461},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6163889169692993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6152985095977783},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5899927616119385},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5739487409591675},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5330193042755127},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5118040442466736},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4108264744281769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3699377179145813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3209759294986725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11651462316513062}],"concepts":[{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.7858800888061523},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7857638597488403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157252430915833},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6700044870376587},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6578512191772461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6163889169692993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152985095977783},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5899927616119385},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5739487409591675},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5330193042755127},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5118040442466736},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4108264744281769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3699377179145813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3209759294986725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11651462316513062},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/eurocon.2013.6625103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eurocon.2013.6625103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eurocon 2013","raw_type":"proceedings-article"},{"id":"pmh:oai:acervodigital.unesp.br:11449/117647","is_oa":false,"landing_page_url":"http://acervodigital.unesp.br/handle/11449/117647","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"},{"id":"pmh:oai:repositorio.unesp.br:11449/117647","is_oa":true,"landing_page_url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6625103","pdf_url":null,"source":{"id":"https://openalex.org/S4377196277","display_name":"UNESP Institutional Repository (S\u00e3o Paulo State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I879563668","host_organization_name":"Universidade Estadual Paulista (Unesp)","host_organization_lineage":["https://openalex.org/I879563668"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:repositorio.unesp.br:11449/117647","is_oa":true,"landing_page_url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6625103","pdf_url":null,"source":{"id":"https://openalex.org/S4377196277","display_name":"UNESP Institutional Repository (S\u00e3o Paulo State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I879563668","host_organization_name":"Universidade Estadual Paulista (Unesp)","host_organization_lineage":["https://openalex.org/I879563668"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1576818901","https://openalex.org/W2002011878","https://openalex.org/W2009587009","https://openalex.org/W2047822984","https://openalex.org/W2059115408","https://openalex.org/W2061935875","https://openalex.org/W2087347434","https://openalex.org/W2096411924","https://openalex.org/W2099239187","https://openalex.org/W2118650183","https://openalex.org/W2119821739","https://openalex.org/W2130343325","https://openalex.org/W2131843147","https://openalex.org/W2149298154","https://openalex.org/W2154771646","https://openalex.org/W2155777479","https://openalex.org/W2385241496","https://openalex.org/W2492058730","https://openalex.org/W2496857733","https://openalex.org/W3120421331","https://openalex.org/W4230946174","https://openalex.org/W4239510810","https://openalex.org/W4248916828"],"related_works":["https://openalex.org/W2372590961","https://openalex.org/W4214893532","https://openalex.org/W4200117979","https://openalex.org/W4294306415","https://openalex.org/W2027176979","https://openalex.org/W883652255","https://openalex.org/W2028503915","https://openalex.org/W1496413023","https://openalex.org/W4307526247","https://openalex.org/W4200518988"],"abstract_inverted_index":{"Since":[0],"the":[1,9,19,65,73,101],"beginning,":[2],"some":[3,92],"pattern":[4],"recognition":[5],"techniques":[6],"have":[7,32,99],"faced":[8],"problem":[10,74],"of":[11,75,93,103],"high":[12],"computational":[13],"burden":[14],"for":[15,37,106],"dataset":[16],"learning.":[17],"Among":[18],"most":[20],"widely":[21],"used":[22],"techniques,":[23],"we":[24,71],"may":[25],"highlight":[26],"Support":[27],"Vector":[28],"Machines":[29],"(SVM),":[30],"which":[31,48,84],"obtained":[33],"very":[34],"promising":[35],"results":[36,98],"data":[38],"classification.":[39],"However,":[40],"this":[41,69],"classifier":[42],"requires":[43],"an":[44,113],"expensive":[45],"training":[46,66],"phase,":[47],"is":[49,85],"dominated":[50],"by":[51],"a":[52,80,119],"parameter":[53],"optimization":[54,82],"that":[55],"aims":[56],"to":[57,62],"make":[58],"SVM":[59],"less":[60],"prone":[61],"errors":[63],"over":[64],"set.":[67],"In":[68],"paper,":[70],"model":[72],"finding":[76],"such":[77,107],"parameters":[78],"as":[79],"metaheuristic-based":[81],"task,":[83],"performed":[86],"through":[87],"Harmony":[88],"Search":[89],"(HS)":[90],"and":[91,117],"its":[94],"variants.":[95],"The":[96],"experimental":[97],"showen":[100],"robustness":[102],"HS-based":[104],"approaches":[105],"task":[108],"in":[109],"comparison":[110],"against":[111],"with":[112],"exhaustive":[114],"(grid)":[115],"search,":[116],"also":[118],"Particle":[120],"Swarm":[121],"Optimization-based":[122],"implementation.":[123]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}