{"id":"https://openalex.org/W2171798680","doi":"https://doi.org/10.1109/ijcnn.2012.6252378","title":"Multi-objective optimization and Meta-learning for SVM parameter selection","display_name":"Multi-objective optimization and Meta-learning for SVM parameter selection","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2171798680","doi":"https://doi.org/10.1109/ijcnn.2012.6252378","mag":"2171798680"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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/A5078294323","display_name":"P\u00e9ricles Miranda","orcid":"https://orcid.org/0000-0002-5767-7544"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Pericles B. C. Miranda","raw_affiliation_strings":["Federal University of Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083998049","display_name":"Ricardo B. C. Prud\u00eancio","orcid":"https://orcid.org/0000-0001-7084-1233"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo B. C. Prudencio","raw_affiliation_strings":["Federal University of Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079499583","display_name":"Andr\u00e9 C. P. L. F. de Carvalho","orcid":"https://orcid.org/0000-0002-4765-6459"},"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":"Andre Carlos P. L. F. de Carvalho","raw_affiliation_strings":["University of S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058183984","display_name":"Carlos Soares","orcid":"https://orcid.org/0000-0003-4549-8917"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Carlos Soares","raw_affiliation_strings":["University of Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"University of Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078294323"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":1.6848,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85267341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.979200005531311,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9376999735832214,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7394742369651794},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7383073568344116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6221815943717957},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5708739161491394},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.566038191318512},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5554964542388916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5227794051170349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510129988193512},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48367175459861755},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4401378929615021},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.43716520071029663},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4190119206905365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2569909691810608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24127283692359924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10482025146484375}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7394742369651794},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7383073568344116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6221815943717957},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5708739161491394},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.566038191318512},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5554964542388916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5227794051170349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510129988193512},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48367175459861755},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4401378929615021},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.43716520071029663},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4190119206905365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2569909691810608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24127283692359924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10482025146484375},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320323678","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Ci\u00eancia e Tecnologia do Estado de Pernambuco","ror":"https://ror.org/02te5rf52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W176885764","https://openalex.org/W1489517264","https://openalex.org/W1518689121","https://openalex.org/W1558919105","https://openalex.org/W1563088657","https://openalex.org/W1575661061","https://openalex.org/W1595498733","https://openalex.org/W1718583055","https://openalex.org/W1969163824","https://openalex.org/W1986490585","https://openalex.org/W1989048657","https://openalex.org/W2018449938","https://openalex.org/W2066496894","https://openalex.org/W2089213632","https://openalex.org/W2101578906","https://openalex.org/W2112299196","https://openalex.org/W2118286367","https://openalex.org/W2125899728","https://openalex.org/W2143628522","https://openalex.org/W2152353853","https://openalex.org/W2152382740","https://openalex.org/W2157083019","https://openalex.org/W2158001550","https://openalex.org/W2159214028","https://openalex.org/W2165171393","https://openalex.org/W2168031673","https://openalex.org/W2403719849","https://openalex.org/W2626984672","https://openalex.org/W3120740533","https://openalex.org/W4231214146","https://openalex.org/W4241304312","https://openalex.org/W6630815403","https://openalex.org/W6637436003","https://openalex.org/W6654876464","https://openalex.org/W6675505492","https://openalex.org/W6683180201","https://openalex.org/W6684802269","https://openalex.org/W6713672578","https://openalex.org/W6740135727"],"related_works":["https://openalex.org/W2789681586","https://openalex.org/W2794361564","https://openalex.org/W4243392960","https://openalex.org/W3156820950","https://openalex.org/W4232791346","https://openalex.org/W2971069100","https://openalex.org/W2504553392","https://openalex.org/W2331509522","https://openalex.org/W2937748796","https://openalex.org/W4375949242"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machines":[2],"(SVMs)":[3],"have":[4],"become":[5],"a":[6,36,88,92,135,168,222,256,267],"well":[7],"succeed":[8],"technique":[9],"due":[10],"to":[11,38,52,73,98,123,130,134,178,229,255],"the":[12,22,66,75,81,100,105,111,116,124,163,175,190,201,206,231,241,244],"good":[13,160],"performance":[14,23],"it":[15],"achieves":[16],"on":[17,25,27,140,266],"different":[18],"learning":[19,61,84],"problems.":[20,147,239,272],"However,":[21],"depends":[24],"adjustments":[26],"its":[28],"model.":[29,112],"The":[30],"automatic":[31],"SVM":[32,76,132,235],"parameter":[33,77],"selection":[34,78],"is":[35,44,51,86,128],"way":[37],"deal":[39],"with":[40,121,195,258,263],"this.":[41],"This":[42,63],"approach":[43],"considered":[45],"an":[46,180],"optimization":[47,90],"problem":[48],"whose":[49],"goal":[50],"find":[53,179],"suitable":[54],"configuration":[55],"of":[56,68,83,107,110,118,171,192,208,233,269],"parameters":[57,142,236],"which":[58,225],"attends":[59],"some":[60],"problem.":[62,79,126],"work":[64],"proposes":[65],"use":[67,207],"Particle":[69],"Swarm":[70],"Optimization":[71],"(PSO)":[72],"treat":[74],"As":[80],"design":[82],"systems":[85],"inherently":[87],"multi-objective":[89,93],"problem,":[91,138],"PSO":[94],"(MOPSO)":[95],"was":[96,197,227,253],"used":[97,129,228],"maximize":[99],"success":[101],"rate":[102],"and":[103,205],"minimize":[104],"number":[106,170],"support":[108],"vectors":[109],"Moreover,":[113],"we":[114,220],"propose":[115],"combination":[117,191],"Meta-Learning":[119],"(ML)":[120],"MOPSO":[122,209,226,257],"cited":[125],"ML":[127,155,196,249],"recommend":[131],"parameters,":[133],"given":[136],"input":[137],"based":[139],"well-succeeded":[141],"adopted":[143],"in":[144,159,162,200,210,224],"previous":[145],"similar":[146],"In":[148,217,240],"this":[149,211],"combination,":[150],"initial":[151],"solutions":[152],"provided":[153],"by":[154],"are":[156],"possibly":[157],"located":[158],"regions":[161],"search":[164,173,176,193],"space.":[165],"Hence,":[166],"using":[167,248],"reduced":[169],"candidate":[172],"points,":[174],"process,":[177],"adequate":[181],"solution,":[182],"would":[183],"be":[184],"less":[185],"expensive.":[186],"We":[187],"highlight":[188],"that,":[189],"algorithms":[194],"just":[198],"studied":[199],"single":[202],"objective":[203],"field":[204],"context":[212],"has":[213],"not":[214],"been":[215],"investigated.":[216],"our":[218],"work,":[219],"implemented":[221],"prototype":[223],"select":[230],"values":[232],"two":[234],"for":[237],"classification":[238,271],"performed":[242],"experiments,":[243],"proposed":[245],"solution":[246],"(MOPSO":[247],"or":[250],"Hybrid":[251],"MOPSO)":[252],"compared":[254],"random":[259],"initialization,":[260],"obtaining":[261],"paretos":[262],"higher":[264],"quality":[265],"set":[268],"40":[270]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
