{"id":"https://openalex.org/W3083667980","doi":"https://doi.org/10.1109/access.2020.3021527","title":"Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer","display_name":"Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3083667980","doi":"https://doi.org/10.1109/access.2020.3021527","mag":"3083667980"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3021527","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3021527","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186058.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186058.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071395330","display_name":"Hailun Xie","orcid":"https://orcid.org/0000-0001-6356-002X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hailun Xie","raw_affiliation_strings":["Department of Computer and Information Sciences, Faculty of Engineering and Environment, Computational Intelligence Research Group, Northumbria University, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Faculty of Engineering and Environment, Computational Intelligence Research Group, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418950","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-6674-692X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Department of Computer and Information Sciences, Faculty of Engineering and Environment, Computational Intelligence Research Group, Northumbria University, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Faculty of Engineering and Environment, Computational Intelligence Research Group, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072923302","display_name":"Chee Peng Lim","orcid":"https://orcid.org/0000-0003-4191-9083"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chee Peng Lim","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Melbourne, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071395330"],"corresponding_institution_ids":["https://openalex.org/I32394136"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.0975,"has_fulltext":true,"cited_by_count":164,"citation_normalized_percentile":{"value":0.98889927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"161519","last_page":"161541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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":0.9977999925613403,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7328743934631348},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6722465753555298},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6532195806503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135251522064209},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.55538409948349},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.535689115524292},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.530876636505127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4771943986415863},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4607888162136078},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4168212413787842},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40776240825653076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328743934631348},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6722465753555298},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6532195806503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135251522064209},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.55538409948349},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.535689115524292},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.530876636505127},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4771943986415863},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4607888162136078},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4168212413787842},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40776240825653076},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2020.3021527","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3021527","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186058.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:nrl.northumbria.ac.uk:44474","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:4142268bfb1e41d2bc3d32d1181cdc64","is_oa":true,"landing_page_url":"https://doaj.org/article/4142268bfb1e41d2bc3d32d1181cdc64","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 161519-161541 (2020)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/20689279","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Evolving_CNN-LSTM_models_for_time_series_prediction_using_enhanced_Grey_Wolf_Optimizer/20689279","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3021527","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3021527","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186058.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311737","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3083667980.pdf","grobid_xml":"https://content.openalex.org/works/W3083667980.grobid-xml"},"referenced_works_count":105,"referenced_works":["https://openalex.org/W47754046","https://openalex.org/W134960717","https://openalex.org/W883434633","https://openalex.org/W1179686678","https://openalex.org/W1444952417","https://openalex.org/W1495476169","https://openalex.org/W1503705371","https://openalex.org/W1532044016","https://openalex.org/W1595159159","https://openalex.org/W1606402766","https://openalex.org/W1689711448","https://openalex.org/W1708394971","https://openalex.org/W1720804347","https://openalex.org/W1948566616","https://openalex.org/W1995972800","https://openalex.org/W2002302337","https://openalex.org/W2016287239","https://openalex.org/W2030397499","https://openalex.org/W2061438946","https://openalex.org/W2064675550","https://openalex.org/W2065186919","https://openalex.org/W2072955302","https://openalex.org/W2084792706","https://openalex.org/W2084812512","https://openalex.org/W2090464137","https://openalex.org/W2092767520","https://openalex.org/W2110242546","https://openalex.org/W2123513648","https://openalex.org/W2131534673","https://openalex.org/W2137226992","https://openalex.org/W2152195021","https://openalex.org/W2161565164","https://openalex.org/W2177188361","https://openalex.org/W2185533914","https://openalex.org/W2192688624","https://openalex.org/W2232317135","https://openalex.org/W2279496533","https://openalex.org/W2320438893","https://openalex.org/W2339140217","https://openalex.org/W2345827752","https://openalex.org/W2408790422","https://openalex.org/W2552839021","https://openalex.org/W2559793483","https://openalex.org/W2606234828","https://openalex.org/W2606704276","https://openalex.org/W2732796807","https://openalex.org/W2735305611","https://openalex.org/W2754880706","https://openalex.org/W2770010986","https://openalex.org/W2770073247","https://openalex.org/W2778726590","https://openalex.org/W2782513934","https://openalex.org/W2792858698","https://openalex.org/W2802713807","https://openalex.org/W2882037495","https://openalex.org/W2887063112","https://openalex.org/W2890014048","https://openalex.org/W2900191532","https://openalex.org/W2901708793","https://openalex.org/W2906331811","https://openalex.org/W2906697496","https://openalex.org/W2912036663","https://openalex.org/W2914466649","https://openalex.org/W2914951209","https://openalex.org/W2919979744","https://openalex.org/W2920663942","https://openalex.org/W2925092820","https://openalex.org/W2944170161","https://openalex.org/W2944431795","https://openalex.org/W2947159088","https://openalex.org/W2949161208","https://openalex.org/W2953308748","https://openalex.org/W2954693883","https://openalex.org/W2954826798","https://openalex.org/W2955935028","https://openalex.org/W2963122061","https://openalex.org/W2963946985","https://openalex.org/W2966350350","https://openalex.org/W2966560442","https://openalex.org/W2966982635","https://openalex.org/W2968809506","https://openalex.org/W2972155310","https://openalex.org/W2972851785","https://openalex.org/W2996600395","https://openalex.org/W3001281149","https://openalex.org/W3003048870","https://openalex.org/W3004983395","https://openalex.org/W3013599931","https://openalex.org/W3014451614","https://openalex.org/W3014974411","https://openalex.org/W3015379812","https://openalex.org/W3022309749","https://openalex.org/W3023540311","https://openalex.org/W3032634577","https://openalex.org/W3038102268","https://openalex.org/W3043211958","https://openalex.org/W3100933494","https://openalex.org/W3122638632","https://openalex.org/W4302793682","https://openalex.org/W6605479355","https://openalex.org/W6630094177","https://openalex.org/W6680532697","https://openalex.org/W6730218677","https://openalex.org/W6762145435","https://openalex.org/W6846256908"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4318719684","https://openalex.org/W4389724018","https://openalex.org/W4318559728","https://openalex.org/W3183136280","https://openalex.org/W2775233965","https://openalex.org/W3114716045","https://openalex.org/W1934426788"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"we":[3],"propose":[4],"an":[5],"enhanced":[6],"Grey":[7],"Wolf":[8],"Optimizer":[9],"(GWO)":[10],"for":[11,22,60,108,182],"designing":[12],"the":[13,28,41,45,71,95,100,122,148,151,156,168,175],"evolving":[14,88],"Convolutional":[15],"Neural":[16],"Network-Long":[17],"Short-Term":[18],"Memory":[19],"(CNN-LSTM)":[20],"networks":[21,153],"time":[23,109],"series":[24,110],"analysis.":[25],"To":[26],"overcome":[27],"probability":[29,83],"of":[30,40,119],"stagnation":[31],"at":[32],"local":[33,77],"optima":[34],"and":[35,103,112,138,141],"a":[36,56,65,74,117],"slow":[37],"convergence":[38],"rate":[39],"classical":[42,135],"GWO":[43,97,140,158],"algorithm,":[44],"newly":[46],"proposed":[47,96,123,157],"variant":[48,159],"incorporates":[49],"four":[50],"distinctive":[51],"search":[52,62,136],"mechanisms.":[53],"They":[54],"comprise":[55],"nonlinear":[57],"exploration":[58],"scheme":[59],"dynamic":[61],"territory":[63],"adjustment,":[64],"chaotic":[66],"leadership":[67],"dispatching":[68],"strategy":[69],"among":[70],"dominant":[72],"wolves,":[73],"rectified":[75],"spiral":[76],"exploitation":[78],"action,":[79],"as":[80,82],"well":[81],"distribution-based":[84],"leader":[85],"enhancement.":[86],"The":[87],"CNN-LSTM":[89,125,152],"models":[90,126],"are":[91,106],"subsequently":[92],"devised":[93,154],"using":[94,116],"variant,":[98],"where":[99],"network":[101],"topology":[102],"learning":[104],"hyperparameters":[105],"optimized":[107],"prediction":[111],"classification":[113],"tasks.":[114,185],"Evaluated":[115],"number":[118],"benchmark":[120],"problems,":[121],"GWO-optimized":[124],"produce":[127],"statistically":[128],"significant":[129],"results":[130],"over":[131],"those":[132],"from":[133],"several":[134],"methods":[137],"advanced":[139],"Particle":[142],"Swarm":[143],"Optimization":[144],"variants.":[145],"Comparing":[146],"with":[147],"baseline":[149],"methods,":[150],"by":[155],"offer":[160],"better":[161],"representational":[162],"capacities":[163],"to":[164],"not":[165],"only":[166],"capture":[167],"vital":[169],"feature":[170],"interactions,":[171],"but":[172],"also":[173],"encapsulate":[174],"sophisticated":[176],"dependencies":[177],"in":[178],"complex":[179],"temporal":[180],"contexts":[181],"undertaking":[183],"time-series":[184]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
