{"id":"https://openalex.org/W4402351629","doi":"https://doi.org/10.1109/access.2024.3456081","title":"Optimizing Product Design Using Genetic Algorithms and Artificial Intelligence Techniques","display_name":"Optimizing Product Design Using Genetic Algorithms and Artificial Intelligence Techniques","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402351629","doi":"https://doi.org/10.1109/access.2024.3456081"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3456081","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3456081","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2024.3456081","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101231041","display_name":"Han Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sun Han","raw_affiliation_strings":["School of Information Engineering, Changchun University of Finance and Economics, Changchun, Jilin, China","Changchun University of Finance and Economics, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Changchun University of Finance and Economics, Changchun, Jilin, China","institution_ids":["https://openalex.org/I179324530"]},{"raw_affiliation_string":"Changchun University of Finance and Economics, Changchun, Jilin, China","institution_ids":["https://openalex.org/I179324530","https://openalex.org/I49232843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102103499","display_name":"Xuemei Sun","orcid":"https://orcid.org/0009-0002-6825-3365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuemei Sun","raw_affiliation_strings":["Changchun Humanities and Sciences College, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"Changchun Humanities and Sciences College, Changchun, Jilin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101231041"],"corresponding_institution_ids":["https://openalex.org/I179324530","https://openalex.org/I49232843"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.2835,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.9790384,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"151460","last_page":"151475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.4625000059604645,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.4625000059604645,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.7219969034194946},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5339658856391907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.479230672121048},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4281070828437805},{"id":"https://openalex.org/keywords/product-design","display_name":"Product design","score":0.41871246695518494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39932703971862793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3695254623889923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11273708939552307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219969034194946},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5339658856391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.479230672121048},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4281070828437805},{"id":"https://openalex.org/C120823896","wikidata":"https://www.wikidata.org/wiki/Q1043226","display_name":"Product design","level":3,"score":0.41871246695518494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39932703971862793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3695254623889923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11273708939552307},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3456081","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3456081","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8097252ec3744476817293b5c8052c10","is_oa":true,"landing_page_url":"https://doaj.org/article/8097252ec3744476817293b5c8052c10","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 151460-151475 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3456081","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3456081","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2010748795","https://openalex.org/W2053245980","https://openalex.org/W2108401774","https://openalex.org/W2119971563","https://openalex.org/W2148801469","https://openalex.org/W2244111557","https://openalex.org/W2558195874","https://openalex.org/W2589803800","https://openalex.org/W2786202616","https://openalex.org/W2937884929","https://openalex.org/W2991904866","https://openalex.org/W3019573777","https://openalex.org/W3023055491","https://openalex.org/W3025817359","https://openalex.org/W3043804385","https://openalex.org/W3174841404","https://openalex.org/W4280551503","https://openalex.org/W4280566374","https://openalex.org/W4327522150","https://openalex.org/W4387860600","https://openalex.org/W4389315549","https://openalex.org/W4391129647","https://openalex.org/W4391135707","https://openalex.org/W4394603741"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2158482288"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,65],"novel":[4],"approach":[5,110,146],"to":[6,45,84],"product":[7,142],"design":[8,43,95,143,158],"optimization":[9],"through":[10,149],"the":[11,88,128,157],"synergy":[12],"of":[13,36,56,90,130],"Genetic":[14],"Algorithms":[15],"(GA)":[16],"and":[17,30,52,70,103,121,160],"specific":[18],"AI":[19,32],"techniques.":[20,166],"By":[21],"iteratively":[22],"evolving":[23],"solutions":[24,48],"inspired":[25],"by":[26,97,101,106],"natural":[27],"selection":[28],"principles":[29],"utilizing":[31],"for":[33],"intelligent":[34],"analysis":[35,126],"vast":[37],"datasets,":[38],"designers":[39],"can":[40],"efficiently":[41],"navigate":[42],"spaces":[44],"identify":[46],"optimal":[47],"meeting":[49],"multiple":[50],"constraints":[51],"objectives.":[53],"The":[54,108,145],"integration":[55],"Convolutional":[57],"Neural":[58],"Networks":[59],"(CNNs)":[60],"with":[61],"GA":[62],"resulted":[63],"in":[64,93,140,156],"30%":[66],"faster":[67],"convergence":[68],"rate":[69],"improved":[71,116],"solution":[72],"quality,":[73],"facilitating":[74],"enhanced":[75],"exploration-exploitation":[76],"trade-offs.":[77],"Case":[78],"studies":[79],"ranging":[80],"from":[81],"automotive":[82],"engineering":[83],"consumer":[85],"electronics":[86],"illustrate":[87],"effectiveness":[89],"these":[91],"methods":[92],"enhancing":[94],"efficiency":[96],"25%,":[98],"reducing":[99],"costs":[100],"20%,":[102],"accelerating":[104],"time-to-market":[105],"15%.":[107],"proposed":[109],"demonstrated":[111],"superior":[112],"performance":[113],"metrics,":[114],"including":[115],"efficiency,":[117],"durability,":[118],"operational":[119],"safety,":[120],"minimized":[122],"environmental":[123],"impact.":[124],"Comparative":[125],"revealed":[127],"advantages":[129,163],"this":[131],"method":[132],"over":[133,164],"traditional":[134,165],"techniques,":[135],"validating":[136],"its":[137,162],"transformative":[138],"potential":[139],"advancing":[141],"paradigms.":[144],"is":[147],"validated":[148],"various":[150],"case":[151],"studies,":[152],"highlighting":[153],"significant":[154],"improvements":[155],"process":[159],"underscoring":[161]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}