{"id":"https://openalex.org/W4409397362","doi":"https://doi.org/10.1007/s10791-025-09531-3","title":"Multi-objective optimization in high-dimensional patent layout using deep Bayesian network and hybrid algorithm","display_name":"Multi-objective optimization in high-dimensional patent layout using deep Bayesian network and hybrid algorithm","publication_year":2025,"publication_date":"2025-04-13","ids":{"openalex":"https://openalex.org/W4409397362","doi":"https://doi.org/10.1007/s10791-025-09531-3"},"language":"en","primary_location":{"id":"doi:10.1007/s10791-025-09531-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09531-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09531-3.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09531-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045745011","display_name":"Minghua Wu","orcid":"https://orcid.org/0000-0002-0388-2032"},"institutions":[{"id":"https://openalex.org/I4210120532","display_name":"Anhui Transport Consulting & Design Institute (China)","ror":"https://ror.org/02h6hms35","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120532"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minghua Wu","raw_affiliation_strings":["Patent Technology Analysis Department Anhui, Weixian Enterprise Management Consulting Co., Ltd, Hefei, 230029, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Patent Technology Analysis Department Anhui, Weixian Enterprise Management Consulting Co., Ltd, Hefei, 230029, Anhui, China","institution_ids":["https://openalex.org/I4210120532"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035295349","display_name":"Wenwu Jiang","orcid":"https://orcid.org/0009-0009-3465-5738"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Jiang","raw_affiliation_strings":["School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, 230031, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, 230031, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045745011"],"corresponding_institution_ids":["https://openalex.org/I4210120532"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.085077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9915000200271606,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.953499972820282,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9452000260353088,"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":0.5882875323295593},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5544148683547974},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.539391279220581},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5185680985450745},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4575345814228058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3341866135597229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882875323295593},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5544148683547974},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.539391279220581},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5185680985450745},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4575345814228058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3341866135597229}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10791-025-09531-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09531-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09531-3.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10791-025-09531-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09531-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09531-3.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409397362.pdf","grobid_xml":"https://content.openalex.org/works/W4409397362.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1911731270","https://openalex.org/W1987267431","https://openalex.org/W2047797219","https://openalex.org/W2082972783","https://openalex.org/W2115167570","https://openalex.org/W2138460610","https://openalex.org/W2152195021","https://openalex.org/W2564664820","https://openalex.org/W2620965429","https://openalex.org/W2783606427","https://openalex.org/W2953049129","https://openalex.org/W2963808807","https://openalex.org/W2969601873","https://openalex.org/W2999665790","https://openalex.org/W3000587175","https://openalex.org/W3003623109","https://openalex.org/W3091015267","https://openalex.org/W3104008686","https://openalex.org/W3134865308","https://openalex.org/W3145477840","https://openalex.org/W3203693246","https://openalex.org/W4220974787","https://openalex.org/W4220989263","https://openalex.org/W4249545506","https://openalex.org/W4319342019","https://openalex.org/W4387047531","https://openalex.org/W4402201614","https://openalex.org/W4405665615","https://openalex.org/W4407173352","https://openalex.org/W6780818307","https://openalex.org/W7054880668"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2053286651","https://openalex.org/W4401858220"],"abstract_inverted_index":{"This":[0,192],"study":[1],"introduces":[2],"a":[3,15,187,221],"novel":[4,174],"multi-objective":[5,189,217],"optimization":[6,29,48,84,89,98,131,145,163,190,218],"framework":[7,32],"(DBNO)":[8],"that":[9,109],"integrates":[10],"deep":[11,177],"Bayesian":[12,88,178],"networks":[13,179],"with":[14,180],"hybrid":[16],"algorithm":[17,80],"combining":[18],"random":[19,182],"search":[20,183],"and":[21,62,86,100,125,136,159,219],"innovation":[22,151],"diffusion":[23,152],"to":[24,37,134],"address":[25],"high-dimensional":[26,144,199],"patent":[27,42,200,208,227],"layout":[28,43,201],"challenges.":[30],"The":[31,106,165,211],"was":[33],"developed":[34],"in":[35,116,129,141,172,186,226],"response":[36],"the":[38,66,130,148,157,162,173,214],"increasing":[39],"complexity":[40],"of":[41,150,161,168,176,216],"decisions,":[44],"where":[45],"traditional":[46,87],"single-objective":[47],"methods":[49],"prove":[50],"inadequate":[51],"for":[52,198,207,223],"simultaneously":[53],"addressing":[54],"multiple":[55,104],"conflicting":[56],"objectives":[57],"such":[58],"as":[59],"profit,":[60],"risk,":[61],"sustainability.":[63],"To":[64],"evaluate":[65],"framework's":[67],"effectiveness,":[68],"we":[69],"conducted":[70],"comprehensive":[71],"experiments":[72],"comparing":[73],"DBNO":[74,110,121],"against":[75],"established":[76],"algorithms":[77],"including":[78],"genetic":[79],"(GA),":[81],"particle":[82],"swarm":[83],"(PSO),":[85],"methods.":[90],"Performance":[91],"metrics":[92],"encompassed":[93],"convergence":[94],"speed,":[95],"computational":[96],"efficiency,":[97],"stability,":[99],"solution":[101,197],"quality":[102],"across":[103],"objectives.":[105,119],"results":[107],"demonstrate":[108],"consistently":[111],"outperforms":[112],"benchmark":[113],"algorithms,":[114],"particularly":[115],"optimizing":[117],"sustainability":[118],"Notably,":[120],"exhibited":[122],"superior":[123],"stability":[124],"higher":[126],"success":[127],"rates":[128],"process":[132],"compared":[133],"GA":[135],"PSO,":[137],"highlighting":[138],"its":[139],"robustness":[140],"handling":[142],"complex":[143],"problems.":[146],"Furthermore,":[147],"integration":[149],"mechanisms":[153],"significantly":[154],"enhanced":[155],"both":[156],"efficiency":[158],"accuracy":[160],"process.":[164],"primary":[166],"contribution":[167],"this":[169],"research":[170,225],"lies":[171],"combination":[175],"ensemble":[181],"techniques,":[184],"resulting":[185],"powerful":[188],"framework.":[191],"approach":[193],"provides":[194],"an":[195],"effective":[196],"problems":[202],"while":[203],"offering":[204],"new":[205],"perspectives":[206],"strategic":[209],"decision-making.":[210],"findings":[212],"advance":[213],"field":[215],"establish":[220],"foundation":[222],"future":[224],"portfolio":[228],"optimization.":[229]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
