{"id":"https://openalex.org/W3131798652","doi":"https://doi.org/10.1016/j.procs.2020.12.003","title":"Parameter Optimization of Support Vector Regression Using Harris Hawks Optimization","display_name":"Parameter Optimization of Support Vector Regression Using Harris Hawks Optimization","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3131798652","doi":"https://doi.org/10.1016/j.procs.2020.12.003","mag":"3131798652"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2020.12.003","doi":"https://doi.org/10.1016/j.procs.2020.12.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2020.12.003","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050920324364/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciencedirect.com/science/article/pii/S1877050920324364/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"I Nyoman Setiawan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405255550","display_name":"Politeknik Statistika STIS","ror":"https://ror.org/034k8m376","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405255550"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"I Nyoman Setiawan","raw_affiliation_strings":["Computational Statistics Department, Polytechnic of Statistics - STIS, Jakarta 13330, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Statistics Department, Polytechnic of Statistics - STIS, Jakarta 13330, Indonesia","institution_ids":["https://openalex.org/I4405255550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000323585","display_name":"Robert Kurniawan","orcid":"https://orcid.org/0000-0002-8275-4070","observed_orcids":["https://orcid.org/0000-0002-8275-4070"]},"institutions":[{"id":"https://openalex.org/I4405255550","display_name":"Politeknik Statistika STIS","ror":"https://ror.org/034k8m376","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405255550"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Robert Kurniawan","raw_affiliation_strings":["Computational Statistics Department, Polytechnic of Statistics - STIS, Jakarta 13330, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Statistics Department, Polytechnic of Statistics - STIS, Jakarta 13330, Indonesia","institution_ids":["https://openalex.org/I4405255550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080550650","display_name":"Budi Yuniarto","orcid":"https://orcid.org/0000-0001-9266-6915","observed_orcids":["https://orcid.org/0000-0001-9266-6915"]},"institutions":[{"id":"https://openalex.org/I4405255550","display_name":"Politeknik Statistika STIS","ror":"https://ror.org/034k8m376","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405255550"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Budi Yuniarto","raw_affiliation_strings":["Computational Statistics Department, Polytechnic of Statistics - STIS, Jakarta 13330, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Statistics Department, Polytechnic of Statistics - STIS, Jakarta 13330, Indonesia","institution_ids":["https://openalex.org/I4405255550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054788236","display_name":"Rezzy Eko Caraka","orcid":"https://orcid.org/0000-0002-1812-7478","observed_orcids":["https://orcid.org/0000-0002-1812-7478"]},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]},{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID","TW"],"is_corresponding":false,"raw_author_name":"Rezzy Eko Caraka","raw_affiliation_strings":["Bioinformatics and Data Science Research Center, Bina Nusantara University, Indonesia, 11530","Department of Information Management, College of Informatics, Chaoyang University of Technology, Taiwan (ROC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics and Data Science Research Center, Bina Nusantara University, Indonesia, 11530","institution_ids":["https://openalex.org/I166073570"]},{"raw_affiliation_string":"Department of Information Management, College of Informatics, Chaoyang University of Technology, Taiwan (ROC)","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052689356","display_name":"Bens Pardamean","orcid":"https://orcid.org/0000-0002-7404-9005","observed_orcids":["https://orcid.org/0000-0002-7404-9005"]},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bens Pardamean","raw_affiliation_strings":["Bioinformatics and Data Science Research Center, Bina Nusantara University, Indonesia, 11530","Computer Science Department, BINUS Graduate Program - Master of Computer Science Program, Bina Nusantara University, Jakarta, Indonesia. 11530"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics and Data Science Research Center, Bina Nusantara University, Indonesia, 11530","institution_ids":["https://openalex.org/I166073570"]},{"raw_affiliation_string":"Computer Science Department, BINUS Graduate Program - Master of Computer Science Program, Bina Nusantara University, Jakarta, Indonesia. 11530","institution_ids":["https://openalex.org/I166073570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000323585"],"corresponding_institution_ids":["https://openalex.org/I4405255550"],"apc_list":null,"apc_paid":null,"fwci":2.1444,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.8987481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"179","issue":null,"first_page":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9833999872207642,"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":0.9833999872207642,"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/T12676","display_name":"Machine Learning and ELM","score":0.005100000184029341,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.003700000001117587,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/support-vector-regression","display_name":"support vector regression","score":0.9990000128746033},{"id":"https://openalex.org/keywords/harris-hawks-optimization","display_name":"Harris Hawks Optimization","score":0.8479999899864197},{"id":"https://openalex.org/keywords/parameter-optimization","display_name":"parameter optimization","score":0.8220000267028809},{"id":"https://openalex.org/keywords/metaheuristic-algorithms","display_name":"metaheuristic algorithms","score":0.8109999895095825},{"id":"https://openalex.org/keywords/kernel-selection","display_name":"kernel selection","score":0.675000011920929},{"id":"https://openalex.org/keywords/forecasting","display_name":"forecasting","score":0.8939999938011169},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.6809999942779541}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8426295518875122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624890565872192},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6131134629249573},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5719484686851501},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5355797410011292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4947068393230438},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4374707341194153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4261970520019531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34286800026893616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32188451290130615},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2597431540489197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2559688687324524},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2020.12.003","doi":"https://doi.org/10.1016/j.procs.2020.12.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2020.12.003","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050920324364/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2020.12.003","doi":"https://doi.org/10.1016/j.procs.2020.12.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2020.12.003","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050920324364/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3131798652.pdf","grobid_xml":"https://content.openalex.org/works/W3131798652.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W133007711","https://openalex.org/W637484538","https://openalex.org/W1649865121","https://openalex.org/W1663792126","https://openalex.org/W1964357740","https://openalex.org/W1988518729","https://openalex.org/W2075811533","https://openalex.org/W2086524068","https://openalex.org/W2112204321","https://openalex.org/W2133469585","https://openalex.org/W2136927491","https://openalex.org/W2137226992","https://openalex.org/W2139039804","https://openalex.org/W2160664614","https://openalex.org/W2172064003","https://openalex.org/W2753264540","https://openalex.org/W2771485560","https://openalex.org/W2889957900","https://openalex.org/W2891452005","https://openalex.org/W2911293880","https://openalex.org/W2919979744","https://openalex.org/W2945306488","https://openalex.org/W2950731991","https://openalex.org/W2955849703","https://openalex.org/W2991555241","https://openalex.org/W2992177290","https://openalex.org/W3011865677","https://openalex.org/W3027820740","https://openalex.org/W4206686222","https://openalex.org/W6922593435"],"related_works":["https://openalex.org/W7220117279","https://openalex.org/W3094892454","https://openalex.org/W3160173182","https://openalex.org/W3022789660","https://openalex.org/W4400166336","https://openalex.org/W2374255055","https://openalex.org/W2946851939","https://openalex.org/W4391713854","https://openalex.org/W2043829975","https://openalex.org/W4415709677"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Regression":[2],"(SVR)":[3],"is":[4,29,59,87],"often":[5],"used":[6],"in":[7,12,90],"forecasting.":[8,19],"Adjustment":[9],"of":[10,18,53,66,92,98],"parameters":[11],"the":[13,16,25,51,64,76,80,96,102],"SVR":[14,26],"affects":[15,101],"results":[17,73],"This":[20],"study":[21],"aims":[22],"to":[23,38,49],"analyze":[24],"method":[27],"that":[28,75],"optimized":[30],"using":[31,45],"Harris":[32],"Hawks":[33],"Optimization":[34],"(HHO),":[35],"hereinafter":[36],"referred":[37],"as":[39,83],"HHO-SVR.":[40],"The":[41,56,72],"HHO-SVR":[42,77],"was":[43],"evaluated":[44],"five":[46],"benchmark":[47],"datasets":[48],"determine":[50],"performance":[52,82],"this":[54],"method.":[55],"HHO":[57],"process":[58,103],"also":[60,100],"compared":[61],"based":[62],"on":[63],"type":[65,97],"kernel":[67,99],"and":[68,104],"other":[69,84],"metaheuristic":[70],"algorithms.":[71],"showed":[74],"has":[78],"almost":[79],"same":[81],"methods":[85],"but":[86],"less":[88],"efficient":[89],"terms":[91],"time.":[93],"In":[94],"addition,":[95],"results.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-03-01T00:00:00"}