{"id":"https://openalex.org/W2039378868","doi":"https://doi.org/10.1007/s11424-014-3295-2","title":"Forecasting time series with genetic programming based on least square method","display_name":"Forecasting time series with genetic programming based on least square method","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W2039378868","doi":"https://doi.org/10.1007/s11424-014-3295-2","mag":"2039378868"},"language":"en","primary_location":{"id":"doi:10.1007/s11424-014-3295-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11424-014-3295-2","pdf_url":null,"source":{"id":"https://openalex.org/S45848134","display_name":"Journal of Systems Science and Complexity","issn_l":"1009-6124","issn":["1009-6124","1559-7067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Systems Science and Complexity","raw_type":"journal-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/A5018574594","display_name":"Fengmei Yang","orcid":"https://orcid.org/0000-0001-7261-7219"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengmei Yang","raw_affiliation_strings":["Faculty of Science, Beijing University of Chemical Technology, Beijing, 100029, China","Beijing university of Chemical Technology"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Beijing University of Chemical Technology, Beijing, 100029, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"Beijing university of Chemical Technology","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457472","display_name":"Meng Li","orcid":"https://orcid.org/0000-0002-4725-7159"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["Faculty of Science, Beijing University of Chemical Technology, Beijing, 100029, China","Beijing university of Chemical Technology"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Beijing University of Chemical Technology, Beijing, 100029, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"Beijing university of Chemical Technology","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026183659","display_name":"Anqiang Huang","orcid":"https://orcid.org/0000-0002-1501-4013"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqiang Huang","raw_affiliation_strings":["School of Economics and Management, Beihang University, Beijing, 100083, China","Beihang Univ.#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, 100083, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang Univ.#TAB#","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710279","display_name":"Jian Li","orcid":"https://orcid.org/0000-0003-1033-842X"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["School of Economics and Management, Beijing University of Chemical Technology, Beijing, 100029, China","Beijing university of Chemical Technology"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing University of Chemical Technology, Beijing, 100029, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"Beijing university of Chemical Technology","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018574594"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.2636,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82840422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"117","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9891999959945679,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9833999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7624835968017578},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6904571652412415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724188327789307},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6303845643997192},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6283888816833496},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.626667857170105},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5875453948974609},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.570726215839386},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5634647607803345},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.42710384726524353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4030888080596924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.403016060590744},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3423681855201721},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33981800079345703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3301003575325012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2383134663105011},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2035844326019287}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7624835968017578},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6904571652412415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724188327789307},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6303845643997192},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6283888816833496},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.626667857170105},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5875453948974609},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.570726215839386},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5634647607803345},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.42710384726524353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4030888080596924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.403016060590744},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3423681855201721},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33981800079345703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3301003575325012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2383134663105011},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2035844326019287},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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:10.1007/s11424-014-3295-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11424-014-3295-2","pdf_url":null,"source":{"id":"https://openalex.org/S45848134","display_name":"Journal of Systems Science and Complexity","issn_l":"1009-6124","issn":["1009-6124","1559-7067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Systems Science and Complexity","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1533788033","https://openalex.org/W1968831178","https://openalex.org/W1973800053","https://openalex.org/W1988812725","https://openalex.org/W1993489971","https://openalex.org/W2003235873","https://openalex.org/W2010132022","https://openalex.org/W2011747882","https://openalex.org/W2021525441","https://openalex.org/W2038941982","https://openalex.org/W2054300546","https://openalex.org/W2063389953","https://openalex.org/W2069705736","https://openalex.org/W2086851361","https://openalex.org/W2093410681","https://openalex.org/W2101097412","https://openalex.org/W2102948706","https://openalex.org/W2103174824","https://openalex.org/W2117108665","https://openalex.org/W2162174678","https://openalex.org/W2313953460","https://openalex.org/W2416739038","https://openalex.org/W3145013517","https://openalex.org/W4229539396","https://openalex.org/W4250158653"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2968285896","https://openalex.org/W2102997898","https://openalex.org/W2314720829","https://openalex.org/W1662819506","https://openalex.org/W2381504162","https://openalex.org/W4367596775","https://openalex.org/W4318240128","https://openalex.org/W2381116869","https://openalex.org/W1983569565"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}
