{"id":"https://openalex.org/W2897658245","doi":"https://doi.org/10.1109/ijcnn.2018.8489334","title":"Using Multi-objective Algorithms for Optimizing Support Vector Regression Parameters","display_name":"Using Multi-objective Algorithms for Optimizing Support Vector Regression Parameters","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897658245","doi":"https://doi.org/10.1109/ijcnn.2018.8489334","mag":"2897658245"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5027676474","display_name":"Manoel Alves de Almeida Neto","orcid":"https://orcid.org/0000-0003-4941-6376"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Manoel Alves de Almeida Neto","raw_affiliation_strings":["Polytechnic University of Pernambuco, University of Pernambuco (UPE), Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of Pernambuco, University of Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050261543","display_name":"Roberta Andrade A. de de Fagundes","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Roberta Andrade A. de de Fagundes","raw_affiliation_strings":["Polytechnic University of Pernambuco, University of Pernambuco (UPE), Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of Pernambuco, University of Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028876161","display_name":"Carmelo J. A. Bastos-Filho","orcid":"https://orcid.org/0000-0002-0924-5341"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carmelo J. A. Bastos-Filho","raw_affiliation_strings":["Polytechnic University of Pernambuco, University of Pernambuco (UPE), Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of Pernambuco, University of Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027676474"],"corresponding_institution_ids":["https://openalex.org/I71437568"],"apc_list":null,"apc_paid":null,"fwci":0.2019,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55255411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5252","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":0.9997000098228455,"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":0.9997000098228455,"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":0.9916999936103821,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7072159051895142},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.608720600605011},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5776710510253906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5676597356796265},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5500195026397705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5317681431770325},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5188811421394348},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47383007407188416},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.47044649720191956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38619905710220337},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37963035702705383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34703904390335083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3431435525417328},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30908969044685364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08659246563911438}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7072159051895142},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.608720600605011},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5776710510253906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5676597356796265},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5500195026397705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5317681431770325},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5188811421394348},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47383007407188416},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.47044649720191956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38619905710220337},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37963035702705383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34703904390335083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3431435525417328},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30908969044685364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08659246563911438},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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.2018.8489334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W199024138","https://openalex.org/W1204590985","https://openalex.org/W1585939719","https://openalex.org/W1939945982","https://openalex.org/W1988725147","https://openalex.org/W2014268383","https://openalex.org/W2038476006","https://openalex.org/W2039935421","https://openalex.org/W2044449183","https://openalex.org/W2081436397","https://openalex.org/W2092531642","https://openalex.org/W2102625537","https://openalex.org/W2104017154","https://openalex.org/W2113238782","https://openalex.org/W2122450421","https://openalex.org/W2123162799","https://openalex.org/W2126105956","https://openalex.org/W2157202423","https://openalex.org/W2174610466","https://openalex.org/W2291445757","https://openalex.org/W2343337519","https://openalex.org/W2498119267","https://openalex.org/W2587962470","https://openalex.org/W2606395562","https://openalex.org/W2735032783","https://openalex.org/W2750498356","https://openalex.org/W2756442164","https://openalex.org/W2782413309","https://openalex.org/W2784125831","https://openalex.org/W2984960739","https://openalex.org/W4252684946","https://openalex.org/W4394670975","https://openalex.org/W6635097213","https://openalex.org/W7034729974"],"related_works":["https://openalex.org/W2575795810","https://openalex.org/W2610868774","https://openalex.org/W4400591661","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W31220157","https://openalex.org/W1915333409","https://openalex.org/W2393341384"],"abstract_inverted_index":{"Finding":[0],"the":[1,75,78,82,104,116,121],"perfect":[2],"combination":[3],"of":[4,17,77],"Support":[5],"Vector":[6],"Regression":[7],"(SVR)":[8],"parameters":[9,106],"to":[10,33,119],"minimize":[11],"two":[12],"well-know":[13],"regression":[14,48,83],"metrics,":[15],"Coefficient":[16],"Correlation":[18],"(R":[19],"<sup":[20],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[21],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[22],")":[23],"and":[24,62,65,81,91,107],"Root":[25],"Mean":[26],"Squared":[27],"Error":[28],"(RMSE),":[29],"which":[30],"are":[31,100],"conflicting":[32],"each":[34,70],"other,":[35],"is":[36],"a":[37,112],"difficult":[38],"task.":[39],"To":[40],"solve":[41],"this":[42],"problem,":[43],"we":[44,73],"propose":[45],"four":[46],"new":[47],"models":[49],"hybridized":[50],"with":[51,61],"multi-objective":[52,79,98],"algorithms.":[53],"We":[54],"validated":[55],"our":[56],"algorithms":[57,80,99],"using":[58],"simulation":[59],"data":[60,67],"without":[63],"noise,":[64],"real-world":[66],"sets.":[68],"For":[69],"algorithm":[71],"proposed,":[72],"analyzed":[74],"performance":[76],"results":[84,95],"through":[85],"convergence":[86],"tests,":[87],"descriptive":[88],"statistics":[89],"analyzes":[90],"hypothesis":[92],"test.":[93],"The":[94],"show":[96],"that":[97],"recommended":[101],"for":[102,111],"tunning":[103],"SVR":[105],"finding":[108],"feasible":[109],"solutions":[110],"given":[113],"problem":[114],"helping":[115],"decision":[117],"maker":[118],"choose":[120],"best":[122],"trade-off":[123],"among":[124],"these":[125],"solutions.":[126]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
