{"id":"https://openalex.org/W4416874825","doi":"https://doi.org/10.1109/qce65121.2025.10444","title":"Quantum-Inspired Optimization for Smart Aluminum Extrusion in Industry 4.0","display_name":"Quantum-Inspired Optimization for Smart Aluminum Extrusion in Industry 4.0","publication_year":2025,"publication_date":"2025-08-30","ids":{"openalex":"https://openalex.org/W4416874825","doi":"https://doi.org/10.1109/qce65121.2025.10444"},"language":null,"primary_location":{"id":"doi:10.1109/qce65121.2025.10444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.10444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Quantum Computing and Engineering (QCE)","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/A5072290707","display_name":"Yun-Ting Lai","orcid":"https://orcid.org/0000-0002-7625-9815"},"institutions":[{"id":"https://openalex.org/I193365169","display_name":"National Chi Nan University","ror":"https://ror.org/03ha6v181","country_code":"TW","type":"education","lineage":["https://openalex.org/I193365169"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yun-Ting Lai","raw_affiliation_strings":["National Chi Nan University,Department of Computer Science and Information Engineering,Puli,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chi Nan University,Department of Computer Science and Information Engineering,Puli,Taiwan","institution_ids":["https://openalex.org/I193365169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025914943","display_name":"C.-C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I193365169","display_name":"National Chi Nan University","ror":"https://ror.org/03ha6v181","country_code":"TW","type":"education","lineage":["https://openalex.org/I193365169"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Ming Chen","raw_affiliation_strings":["National Chi Nan University,Department of Computer Science and Information Engineering,Puli,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chi Nan University,Department of Computer Science and Information Engineering,Puli,Taiwan","institution_ids":["https://openalex.org/I193365169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016347657","display_name":"Shu\u2013Yu Kuo","orcid":"https://orcid.org/0000-0002-9780-0738"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu-Yu Kuo","raw_affiliation_strings":["National Taiwan University,Department of Electrical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067978605","display_name":"Yao\u2013Hsin Chou","orcid":"https://orcid.org/0000-0002-3254-5510"},"institutions":[{"id":"https://openalex.org/I193365169","display_name":"National Chi Nan University","ror":"https://ror.org/03ha6v181","country_code":"TW","type":"education","lineage":["https://openalex.org/I193365169"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Hsin Chou","raw_affiliation_strings":["National Chi Nan University,Department of Computer Science and Information Engineering,Puli,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chi Nan University,Department of Computer Science and Information Engineering,Puli,Taiwan","institution_ids":["https://openalex.org/I193365169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24682522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.2078000009059906,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.2078000009059906,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11201","display_name":"Metallurgy and Material Forming","score":0.18330000340938568,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.028699999675154686,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/extrusion","display_name":"Extrusion","score":0.7106000185012817},{"id":"https://openalex.org/keywords/isothermal-process","display_name":"Isothermal process","score":0.4634000062942505},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4596000015735626},{"id":"https://openalex.org/keywords/aluminium","display_name":"Aluminium","score":0.438400000333786},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.3937000036239624},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.3788999915122986},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.358599990606308}],"concepts":[{"id":"https://openalex.org/C2778958987","wikidata":"https://www.wikidata.org/wiki/Q139143","display_name":"Extrusion","level":2,"score":0.7106000185012817},{"id":"https://openalex.org/C133347239","wikidata":"https://www.wikidata.org/wiki/Q486921","display_name":"Isothermal process","level":2,"score":0.4634000062942505},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.45750001072883606},{"id":"https://openalex.org/C513153333","wikidata":"https://www.wikidata.org/wiki/Q663","display_name":"Aluminium","level":2,"score":0.438400000333786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3961000144481659},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3953999876976013},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C127172972","wikidata":"https://www.wikidata.org/wiki/Q128709","display_name":"Viscosity","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.32850000262260437},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C97103648","wikidata":"https://www.wikidata.org/wiki/Q2738101","display_name":"Plastics extrusion","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28600001335144043},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qce65121.2025.10444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.10444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Quantum Computing and Engineering (QCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2016863229","https://openalex.org/W2027887841","https://openalex.org/W2959478939","https://openalex.org/W3033372674","https://openalex.org/W4404411170","https://openalex.org/W4406262136"],"related_works":[],"abstract_inverted_index":{"Quantum":[0],"and":[1,68,87],"quantum-inspired":[2],"optimization":[3,11],"(QIO)":[4],"offer":[5],"strong":[6],"potential":[7],"for":[8,84],"solving":[9],"complex":[10],"problems.":[12],"This":[13],"paper":[14],"is":[15,28],"the":[16,33],"first":[17],"to":[18,30,52],"apply":[19],"QIO":[20,75,92],"in":[21,61,93],"a":[22,81],"real-world":[23,94],"industrial":[24],"setting,":[25],"where":[26],"it":[27],"used":[29],"efficiently":[31],"optimize":[32],"hyperparameters":[34],"of":[35,91],"an":[36],"AI-driven":[37],"Aluminum":[38],"Extrusion":[39],"Profile":[40],"Temperature":[41],"Prediction":[42],"Model,":[43],"based":[44],"on":[45],"eXtreme":[46],"Gradient":[47],"Boosting":[48],"(AEPTPM-X).":[49],"AEPTPM-X":[50],"aims":[51],"enable":[53],"isothermal":[54],"extrusion":[55],"by":[56],"accurately":[57],"predicting":[58],"profile":[59],"temperatures":[60],"real":[62],"time,":[63],"thereby":[64],"enhancing":[65],"product":[66],"quality":[67],"reducing":[69],"waste.":[70],"Experimental":[71],"results":[72],"show":[73],"that":[74],"significantly":[76],"improves":[77],"prediction":[78],"accuracy,":[79],"indicating":[80],"promising":[82],"direction":[83],"intelligent":[85],"manufacturing":[86],"fostering":[88],"broader":[89],"adoption":[90],"applications.":[95]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-01T00:00:00"}