{"id":"https://openalex.org/W2912184983","doi":"https://doi.org/10.1109/la-cci.2018.8625240","title":"Hyper-Heuristics Using Genetic Programming to Time Series Forecasting","display_name":"Hyper-Heuristics Using Genetic Programming to Time Series Forecasting","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2912184983","doi":"https://doi.org/10.1109/la-cci.2018.8625240","mag":"2912184983"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci.2018.8625240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2018.8625240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5009239429","display_name":"Mariana Macedo","orcid":"https://orcid.org/0000-0002-7071-379X"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mariana Macedo","raw_affiliation_strings":["Florida Institute of Technology, Melbourne-FL, USA"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology, Melbourne-FL, USA","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057997889","display_name":"Carlos Henrique Macedo dos Santos","orcid":"https://orcid.org/0000-0002-6219-1872"},"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":"Carlos Henrique Macedo dos Santos","raw_affiliation_strings":["University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059946518","display_name":"Eronita Maria Luizines Van Leijden","orcid":"https://orcid.org/0000-0002-8434-7954"},"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":"Eronita Maria Luizines Van Leijden","raw_affiliation_strings":["University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029164446","display_name":"Jo\u00e3o Fausto Lorenzato de Oliveira","orcid":"https://orcid.org/0000-0002-1150-4904"},"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":"Joao Fausto Lorenzato de Oliveira","raw_affiliation_strings":["University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fernando Buarque de Lima Neto","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":"Fernando Buarque de Lima Neto","raw_affiliation_strings":["University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021970061","display_name":"Hugo Valadares Siqueira","orcid":"https://orcid.org/0000-0002-1278-4602"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Hugo Siqueira","raw_affiliation_strings":["Federal University of Technology - Parana, Ponta Grossa-PR, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology - Parana, Ponta Grossa-PR, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009239429"],"corresponding_institution_ids":["https://openalex.org/I106959904"],"apc_list":null,"apc_paid":null,"fwci":0.1692,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63240801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987999796867371,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987999796867371,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9947999715805054,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9846000075340271,"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/genetic-programming","display_name":"Genetic programming","score":0.7872800827026367},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7758040428161621},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.7309929132461548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255574464797974},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6048555374145508},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5724599361419678},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46381232142448425},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4261767566204071},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.41948026418685913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41094833612442017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40902969241142273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36409586668014526},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3524966835975647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12665554881095886}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7872800827026367},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7758040428161621},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.7309929132461548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255574464797974},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6048555374145508},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5724599361419678},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46381232142448425},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4261767566204071},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.41948026418685913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41094833612442017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40902969241142273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36409586668014526},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3524966835975647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12665554881095886},{"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},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci.2018.8625240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2018.8625240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1488964931","https://openalex.org/W1512383952","https://openalex.org/W1524103685","https://openalex.org/W1549386224","https://openalex.org/W1551310758","https://openalex.org/W1576818901","https://openalex.org/W1966481439","https://openalex.org/W2024060531","https://openalex.org/W2031543108","https://openalex.org/W2048665112","https://openalex.org/W2072441740","https://openalex.org/W2084068786","https://openalex.org/W2116512828","https://openalex.org/W2129392074","https://openalex.org/W2143142072","https://openalex.org/W2154830650","https://openalex.org/W2160814528","https://openalex.org/W2215054329","https://openalex.org/W2221935446","https://openalex.org/W2227929282","https://openalex.org/W2545802126","https://openalex.org/W2564465332","https://openalex.org/W2592023122","https://openalex.org/W2795799780","https://openalex.org/W4230022635"],"related_works":["https://openalex.org/W4387220233","https://openalex.org/W2955496313","https://openalex.org/W4220924527","https://openalex.org/W3097024643","https://openalex.org/W3215481666","https://openalex.org/W4220732081","https://openalex.org/W3124446684","https://openalex.org/W3184066977","https://openalex.org/W2780303826","https://openalex.org/W2390482703"],"abstract_inverted_index":{"Time":[0],"series":[1,36,191],"forecasting":[2,80],"methods":[3],"allow":[4],"companies":[5],"and":[6,10,21,29,105,172,184],"researchers":[7],"to":[8,61,125,143,161,187],"analyze":[9],"predict":[11],"data":[12,100,192],"that":[13],"change":[14],"over":[15],"time,":[16],"such":[17],"as":[18,71,73],"stock":[19],"exchange":[20],"climate":[22],"change.":[23],"However,":[24],"because":[25],"of":[26,34,54],"their":[27],"complexity":[28],"dynamic":[30],"nature,":[31],"each":[32],"type":[33],"time":[35,190],"ideally":[37],"should":[38],"be":[39,70],"modeled":[40],"using":[41,110],"ad-hoc":[42],"algorithms.":[43],"To":[44],"create":[45],"a":[46,52,92,107,188],"more":[47],"general":[48],"methodology,":[49],"we":[50,103],"proposed":[51,106,176],"combination":[53],"meta-heuristics,":[55],"led":[56],"by":[57,149],"Genetic":[58,141],"Programming":[59,142],"(GP),":[60],"enhance":[62],"the":[63,74,83,114,121,130,140,151,154],"overall":[64],"prediction":[65],"ability.":[66],"GP":[67,111,155],"may":[68],"not":[69],"popular":[72],"Box":[75],"&":[76],"Jenkins":[77],"methodology":[78],"for":[79,95,129,138],"tasks,":[81],"but":[82],"literature":[84],"shows":[85],"appealing":[86],"outcomes.":[87],"Swarm":[88],"intelligence":[89],"is":[90,123],"also":[91,133],"powerful":[93],"mechanism":[94],"searching":[96],"patterns":[97],"in":[98,146,181],"large":[99],"spaces.":[101],"Thus,":[102],"investigated":[104],"hybrid":[108],"method":[109,177],"together":[112],"with":[113],"Fish":[115],"School":[116],"Search":[117],"(FSS)":[118],"algorithm,":[119],"where":[120],"latter":[122],"used":[124,134],"select":[126],"optimal":[127],"parameters":[128],"former.":[131],"We":[132],"local":[135,147],"search":[136],"techniques":[137],"preventing":[139],"get":[144],"stuck":[145],"minima,":[148],"refining":[150],"coefficients":[152],"on":[153],"expression.":[156],"Our":[157],"proposal":[158],"was":[159,185],"compared":[160],"standard":[162,173],"autoregressive":[163],"integrated":[164],"moving":[165],"average":[166],"(ARIMA)":[167],"model,":[168],"exponential":[169],"smoothing":[170],"(ETS)":[171],"GP.":[174],"The":[175],"achieved":[178],"promising":[179],"results":[180],"one-step-ahead":[182],"predictions":[183],"applied":[186],"well-known":[189],"library.":[193]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
