{"id":"https://openalex.org/W4401414655","doi":"https://doi.org/10.1109/cec60901.2024.10611787","title":"A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering","display_name":"A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401414655","doi":"https://doi.org/10.1109/cec60901.2024.10611787"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10611787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","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/A5038222333","display_name":"Takato Kinoshita","orcid":"https://orcid.org/0000-0003-1556-8259"},"institutions":[{"id":"https://openalex.org/I4387152983","display_name":"Osaka Metropolitan University","ror":"https://ror.org/01hvx5h04","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152983"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takato Kinoshita","raw_affiliation_strings":["Graduate School of Informatics, Osaka Metropolitan University,Sakai,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Osaka Metropolitan University,Sakai,Japan","institution_ids":["https://openalex.org/I4387152983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038939201","display_name":"Naoki Masuyama","orcid":"https://orcid.org/0000-0002-2886-1588"},"institutions":[{"id":"https://openalex.org/I4387152983","display_name":"Osaka Metropolitan University","ror":"https://ror.org/01hvx5h04","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152983"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Masuyama","raw_affiliation_strings":["Graduate School of Informatics, Osaka Metropolitan University,Sakai,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Osaka Metropolitan University,Sakai,Japan","institution_ids":["https://openalex.org/I4387152983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004957967","display_name":"Yusuke Nojima","orcid":"https://orcid.org/0000-0003-4853-1305"},"institutions":[{"id":"https://openalex.org/I4387152983","display_name":"Osaka Metropolitan University","ror":"https://ror.org/01hvx5h04","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152983"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Nojima","raw_affiliation_strings":["Graduate School of Informatics, Osaka Metropolitan University,Sakai,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Osaka Metropolitan University,Sakai,Japan","institution_ids":["https://openalex.org/I4387152983"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038222333"],"corresponding_institution_ids":["https://openalex.org/I4387152983"],"apc_list":null,"apc_paid":null,"fwci":0.3804,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62872879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9940000176429749,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9911999702453613,"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":0.7358579635620117},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.723536491394043},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5545489192008972},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3918326497077942},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3678249716758728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.295717716217041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358579635620117},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.723536491394043},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5545489192008972},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3918326497077942},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3678249716758728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.295717716217041}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10611787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3454345188","display_name":null,"funder_award_id":"22H03664,JP22K12199","funder_id":"https://openalex.org/F4320320907","funder_display_name":"Japan Science and Technology Corporation"}],"funders":[{"id":"https://openalex.org/F4320320907","display_name":"Japan Science and Technology Corporation","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W224959492","https://openalex.org/W225560312","https://openalex.org/W1522538275","https://openalex.org/W1873763122","https://openalex.org/W2101234009","https://openalex.org/W2102365077","https://openalex.org/W2126105956","https://openalex.org/W2138779671","https://openalex.org/W2143185749","https://openalex.org/W2245160765","https://openalex.org/W2604738573","https://openalex.org/W2764251381","https://openalex.org/W2891186800","https://openalex.org/W2914304175","https://openalex.org/W3123459983","https://openalex.org/W3194900365","https://openalex.org/W3203930968","https://openalex.org/W4287691174","https://openalex.org/W4312714033","https://openalex.org/W4376864815","https://openalex.org/W4387448016","https://openalex.org/W4402809066","https://openalex.org/W6608886761","https://openalex.org/W6631460888","https://openalex.org/W6728757088","https://openalex.org/W6773329755","https://openalex.org/W6852281208","https://openalex.org/W6856297290"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"solution":[1],"evaluation":[2],"costs":[3],"increase,":[4],"data-driven":[5,41,83],"multiobjective":[6,42,61,104],"optimization":[7,84,105],"is":[8,37],"becoming":[9],"more":[10],"critical.":[11],"Using":[12],"multiple":[13],"computers":[14],"in":[15],"parallel":[16],"helps":[17],"manage":[18],"computation":[19],"times.":[20],"Federated":[21],"learning":[22],"offers":[23],"a":[24,51,78],"privacy-friendly,":[25],"cost-effective":[26],"way":[27],"to":[28,45,65],"handle":[29],"distributed":[30],"data.":[31],"Integration":[32],"of":[33,48,81],"these":[34],"two":[35],"approaches":[36],"known":[38],"as":[39,77],"federated":[40,66,82],"optimization.":[43],"However,":[44],"the":[46,91],"best":[47],"our":[49],"knowledge,":[50],"few":[52],"studies":[53],"tackle":[54],"this":[55],"emerging":[56],"topic.":[57],"This":[58],"paper":[59],"introduces":[60],"evolutionary":[62],"algorithms":[63],"(MOEAs)":[64],"clustering":[67,72],"via":[68],"adaptive":[69],"resonance":[70],"theory-based":[71],"(FCAC)":[73],"and":[74,99],"proposes":[75],"FCAC-MOEA":[76],"solver":[79],"system":[80],"problems.":[85,106],"The":[86],"computational":[87],"experiments":[88],"showed":[89],"that":[90],"proposed":[92],"method":[93],"achieves":[94],"both":[95],"high":[96],"search":[97],"efficiency":[98],"privacy":[100],"preservation":[101],"on":[102],"various":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}