{"id":"https://openalex.org/W4405698188","doi":"https://doi.org/10.3233/faia241428","title":"Investigating XGBoost Efficiency on Diverse Time-Series Data Through PSO Parameter Tuning","display_name":"Investigating XGBoost Efficiency on Diverse Time-Series Data Through PSO Parameter Tuning","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4405698188","doi":"https://doi.org/10.3233/faia241428"},"language":"en","primary_location":{"id":"doi:10.3233/faia241428","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia241428","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia241428","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115608608","display_name":"Khwanchai Huailuk","orcid":null},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Khwanchai Huailuk","raw_affiliation_strings":["Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-9502-334X","affiliations":[{"raw_affiliation_string":"Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115608609","display_name":"Natthapon Khetkrathok","orcid":null},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Natthapon Khetkrathok","raw_affiliation_strings":["Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0009-0003-9810-1626","affiliations":[{"raw_affiliation_string":"Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002826508","display_name":"Pirapong Inthapong","orcid":null},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pirapong Inthapong","raw_affiliation_strings":["Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0009-0006-1618-4619","affiliations":[{"raw_affiliation_string":"Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065953076","display_name":"Sayan Kaennakham","orcid":"https://orcid.org/0000-0001-9682-559X"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sayan Kaennakham","raw_affiliation_strings":["School of Mathematics and Geoinformatics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-9682-559X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Geoinformatics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074135076","display_name":"Nara Samattapapong","orcid":"https://orcid.org/0000-0002-2230-6591"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nara Samattapapong","raw_affiliation_strings":["School of Industrial Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-2230-6591","affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115608608"],"corresponding_institution_ids":["https://openalex.org/I82475049"],"apc_list":null,"apc_paid":null,"fwci":1.731,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89269425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9243000149726868,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9243000149726868,"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":0.9200999736785889,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9200999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8986799120903015},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7986564636230469},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7722771763801575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308759450912476},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5512762665748596},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5494005084037781},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5304932594299316},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.52276611328125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48680922389030457},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4861902594566345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4577312767505646},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4233858585357666},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.38049477338790894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34685492515563965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19564315676689148},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16283568739891052},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14303377270698547}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8986799120903015},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7986564636230469},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7722771763801575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308759450912476},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5512762665748596},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5494005084037781},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5304932594299316},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.52276611328125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48680922389030457},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4861902594566345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4577312767505646},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4233858585357666},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38049477338790894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34685492515563965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19564315676689148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16283568739891052},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14303377270698547},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia241428","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia241428","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia241428","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia241428","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2981792167","https://openalex.org/W3047327247","https://openalex.org/W3190469032","https://openalex.org/W3197040406","https://openalex.org/W4200589270","https://openalex.org/W4229037490","https://openalex.org/W4229440842","https://openalex.org/W4361217559","https://openalex.org/W4388694114","https://openalex.org/W4391723149","https://openalex.org/W6731657211","https://openalex.org/W6842180468"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4298369531","https://openalex.org/W3155135229"],"abstract_inverted_index":{"This":[0,144],"study":[1],"investigates":[2],"the":[3,12,15,62,74,88,104,116,147,164,174],"effectiveness":[4],"of":[5,14,22,149,176],"Particle":[6],"Swarm":[7],"Optimization":[8],"(PSO)":[9],"in":[10,70,153,169],"enhancing":[11],"performance":[13,140],"XGBoost":[16,90],"algorithm":[17],"on":[18,141],"three":[19],"distinct":[20],"types":[21],"time-series":[23,160],"datasets:":[24],"intermittent":[25,123],"(Dataset-1),":[26],"multi-seasonal":[27,111],"(Dataset-2),":[28],"and":[29,53,66,82,96,112,138,173],"non-stationary":[30,113],"(Dataset-3).":[31],"Time-series":[32],"data":[33],"often":[34],"exhibit":[35],"complex":[36,159],"patterns,":[37],"making":[38],"hyperparameter":[39],"tuning":[40],"crucial":[41],"for":[42,110,133,158,166],"improving":[43,139],"model":[44],"accuracy.":[45],"In":[46],"this":[47],"research,":[48],"two":[49],"PSO":[50,105],"variants,":[51],"PSOv1":[52,81],"PSOv2,":[54],"were":[55,107],"applied":[56],"to":[57,72,122,130],"optimize":[58],"key":[59],"hyperparameters,":[60],"specifically":[61],"learning":[63,156],"rate":[64,118],"(LR)":[65],"Max":[67],"Depth":[68],"(MxD),":[69],"order":[71],"minimize":[73],"Root":[75],"Mean":[76],"Square":[77],"Error":[78],"(RMSE).":[79],"Both":[80],"PSOv2":[83,93],"demonstrated":[84],"significant":[85],"improvements":[86],"over":[87],"baseline":[89],"model,":[91],"with":[92],"showing":[94],"faster":[95,120],"more":[97],"stable":[98],"convergence":[99,117],"across":[100],"all":[101],"datasets.":[102],"Notably,":[103],"algorithms":[106,152],"particularly":[108],"effective":[109],"time-series,":[114],"where":[115],"was":[119],"compared":[121],"data.":[124,143],"These":[125],"results":[126],"highlight":[127],"PSO\u2019s":[128],"ability":[129],"fine-tune":[131],"hyperparameters":[132],"better":[134],"generalization,":[135],"reducing":[136],"overfitting":[137],"unseen":[142],"work":[145],"underscores":[146],"importance":[148],"swarm":[150],"intelligence":[151],"optimizing":[154],"machine":[155],"models":[157],"forecasting":[161],"tasks,":[162],"paving":[163],"way":[165],"future":[167],"research":[168],"hybrid":[170],"optimization":[171],"techniques":[172],"exploration":[175],"additional":[177],"hyperparameters.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}