{"id":"https://openalex.org/W4411600148","doi":"https://doi.org/10.1109/cec65147.2025.11043002","title":"An Evolutionary Neural Architecture Search-Based Approach for Time Series Forecasting","display_name":"An Evolutionary Neural Architecture Search-Based Approach for Time Series Forecasting","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600148","doi":"https://doi.org/10.1109/cec65147.2025.11043002"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11043002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://rgu-repository.worktribe.com/file/2892654/1/VU%202025%20An%20evolutionary%20neural%20architecture%20%28AAM%29","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000859636","display_name":"Trung Hieu Vu","orcid":"https://orcid.org/0000-0002-9038-4620"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Trung Hieu Vu","raw_affiliation_strings":["Robert Gordon University,School of Computing, Engineering and Technology,Aberdeen,UK"],"affiliations":[{"raw_affiliation_string":"Robert Gordon University,School of Computing, Engineering and Technology,Aberdeen,UK","institution_ids":["https://openalex.org/I522815984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696033","display_name":"Tien Thanh Nguyen","orcid":"https://orcid.org/0000-0002-7107-5611"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tien Thanh Nguyen","raw_affiliation_strings":["Robert Gordon University,School of Computing, Engineering and Technology,Aberdeen,UK"],"affiliations":[{"raw_affiliation_string":"Robert Gordon University,School of Computing, Engineering and Technology,Aberdeen,UK","institution_ids":["https://openalex.org/I522815984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040807448","display_name":"Eyad Elyan","orcid":"https://orcid.org/0000-0002-8342-9026"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eyad Elyan","raw_affiliation_strings":["Robert Gordon University,School of Computing, Engineering and Technology,Aberdeen,UK"],"affiliations":[{"raw_affiliation_string":"Robert Gordon University,School of Computing, Engineering and Technology,Aberdeen,UK","institution_ids":["https://openalex.org/I522815984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000859636"],"corresponding_institution_ids":["https://openalex.org/I522815984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18107385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9343000054359436,"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":0.9144999980926514,"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":0.7249897122383118},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6270597577095032},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5244524478912354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5119203329086304},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49569666385650635},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4952923357486725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4352656602859497},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.42572811245918274},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06777879595756531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249897122383118},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6270597577095032},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5244524478912354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5119203329086304},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49569666385650635},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4952923357486725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4352656602859497},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.42572811245918274},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06777879595756531},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec65147.2025.11043002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:rgu-repository.worktribe.com:2892654","is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/2892654","pdf_url":"https://rgu-repository.worktribe.com/file/2892654/1/VU%202025%20An%20evolutionary%20neural%20architecture%20%28AAM%29","source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"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":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:rgu-repository.worktribe.com:2892654","is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/2892654","pdf_url":"https://rgu-repository.worktribe.com/file/2892654/1/VU%202025%20An%20evolutionary%20neural%20architecture%20%28AAM%29","source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"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":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411600148.pdf","grobid_xml":"https://content.openalex.org/works/W4411600148.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2604847698","https://openalex.org/W2963946985","https://openalex.org/W3080253043","https://openalex.org/W3097777922","https://openalex.org/W3177318507","https://openalex.org/W4255158661","https://openalex.org/W4382203079","https://openalex.org/W4385245566","https://openalex.org/W4404967454","https://openalex.org/W6734593296","https://openalex.org/W6752046673","https://openalex.org/W6763309814","https://openalex.org/W6770280828","https://openalex.org/W6780226713","https://openalex.org/W6797155008","https://openalex.org/W6810637551","https://openalex.org/W6845625448","https://openalex.org/W6846376059","https://openalex.org/W6875973100"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W4246257243","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W3146111732","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Time":[0,92],"series":[1],"forecasting":[2],"(TSF)":[3],"is":[4],"one":[5],"of":[6,67,173],"the":[7,21,65,136,165,170,195],"most":[8],"prevalent":[9],"research":[10,22],"topics":[11],"in":[12,20,32,59],"artificial":[13],"intelligence":[14],"and":[15,44,77,139,148],"has":[16],"garnered":[17],"significant":[18,27],"attention":[19,146],"community.":[23],"In":[24],"recent":[25],"years,":[26],"breakthroughs":[28],"have":[29],"been":[30],"made":[31],"TSF":[33,99],"research,":[34],"shifting":[35],"from":[36],"traditional":[37],"statistical":[38],"models":[39],"to":[40,97,113,129,134,163,191],"deep":[41],"learning":[42],"(DL),":[43],"attention-based":[45,48],"methods.":[46],"While":[47],"methods":[49],"excel":[50],"at":[51],"capturing":[52],"global":[53,108,152,175],"dependencies,":[54,132],"they":[55],"often":[56],"face":[57],"challenges":[58],"effectively":[60],"modeling":[61],"local":[62,119,137],"patterns.":[63],"Additionally,":[64],"design":[66],"these":[68,82],"networks":[69],"typically":[70],"demands":[71],"substantial":[72],"human":[73],"expertise,":[74],"experimental":[75],"work,":[76],"manual":[78],"configuration.":[79],"To":[80],"address":[81],"issues,":[83],"we":[84,103],"propose":[85,104,156],"an":[86,157],"Evolutionary":[87],"Neural":[88],"Architecture":[89],"Search":[90],"for":[91,151],"Series":[93],"Forecasting,":[94],"entitled":[95],"ENAS-TSF":[96,167,186],"automate":[98],"architecture":[100,160],"design.":[101],"Concretely,":[102],"a":[105,115],"novel":[106],"local/":[107,174],"context":[109,120,153,176],"module":[110,121],"encoding":[111,143],"strategy":[112],"define":[114],"search":[116,161],"space.":[117],"Each":[118],"includes":[122],"various":[123],"convolutions":[124],"with":[125],"different":[126],"kernel":[127],"sizes":[128],"capture":[130],"temporal":[131],"aiming":[133],"enhance":[135],"features":[138],"pattern":[140],"recognition.":[141],"Global":[142],"meanwhile":[144],"contains":[145],"mechanisms":[147],"feedforward":[149],"layers":[150],"modeling.":[154,177],"We":[155],"evolutionary":[158],"neural":[159],"approach":[162],"identify":[164],"optimal":[166],"architectures,":[168],"achieving":[169],"ideal":[171],"balance":[172],"Extensive":[178],"experiments":[179],"on":[180],"common":[181],"benchmark":[182],"datasets":[183],"show":[184],"that":[185],"achieves":[187],"competitive":[188],"performance":[189],"compared":[190],"state-of-the-art":[192],"methods,":[193],"demonstrating":[194],"proposed":[196],"framework\u2019s":[197],"effectiveness.":[198]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}