{"id":"https://openalex.org/W4406611745","doi":"https://doi.org/10.1109/smc54092.2024.10832020","title":"Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization","display_name":"Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406611745","doi":"https://doi.org/10.1109/smc54092.2024.10832020"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10832020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10832020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039154531","display_name":"Rongguang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongguang Ye","raw_affiliation_strings":["Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077976437","display_name":"Longcan Chen","orcid":"https://orcid.org/0000-0002-7087-9909"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longcan Chen","raw_affiliation_strings":["Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057132797","display_name":"Weibin Kou","orcid":"https://orcid.org/0000-0002-0492-5962"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wei-Bin Kou","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677994","display_name":"Jinyuan Zhang","orcid":"https://orcid.org/0000-0001-6415-4103"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyuan Zhang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hisao Ishibuchi","raw_affiliation_strings":["Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4071,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.94107617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4730","last_page":"4736"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.7979133129119873},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.645893931388855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109402775764465},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5669061541557312},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5648653507232666},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.4923893213272095},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4894794225692749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34463512897491455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24840882420539856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21789997816085815},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1401863992214203}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7979133129119873},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.645893931388855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109402775764465},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5669061541557312},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5648653507232666},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.4923893213272095},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4894794225692749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34463512897491455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24840882420539856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21789997816085815},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1401863992214203},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10832020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10832020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G8143727662","display_name":null,"funder_award_id":"62106099,62250710163,62376115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1606015457","https://openalex.org/W1985357653","https://openalex.org/W2008499862","https://openalex.org/W2020320008","https://openalex.org/W2024008934","https://openalex.org/W2074450400","https://openalex.org/W2100830227","https://openalex.org/W2102365077","https://openalex.org/W2122392141","https://openalex.org/W2123485079","https://openalex.org/W2125899728","https://openalex.org/W2140886193","https://openalex.org/W2886177894","https://openalex.org/W2998757713","https://openalex.org/W4225916762","https://openalex.org/W4250589301","https://openalex.org/W4387967434","https://openalex.org/W4394838959","https://openalex.org/W4402352807","https://openalex.org/W4402353073","https://openalex.org/W6631190155","https://openalex.org/W6766978945","https://openalex.org/W6784247795","https://openalex.org/W6784688965","https://openalex.org/W6802358904","https://openalex.org/W6810561839","https://openalex.org/W6845327098","https://openalex.org/W6845970670","https://openalex.org/W6864368742","https://openalex.org/W7002348313"],"related_works":["https://openalex.org/W1963790170","https://openalex.org/W2073298047","https://openalex.org/W2033790662","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2073147994","https://openalex.org/W1588199609"],"abstract_inverted_index":{"Pareto":[0,12,34,53,75,85,92,98,101,114,128,144,172,177,200],"set":[1,13,86,129,145,178,201],"learning":[2,87,125,202],"(PSL)":[3],"is":[4,71,121],"an":[5,139],"emerging":[6],"approach":[7],"for":[8],"acquiring":[9],"the":[10,24,30,38,42,52,61,74,109,113,124,127,143,158,171,176,186],"complete":[11],"of":[14,26,44,51,60,68,126,160,170,189],"a":[15,65,97,131,151],"multi-objective":[16],"optimization":[17],"problem.":[18,134],"Existing":[19],"methods":[20],"primarily":[21],"rely":[22],"on":[23,193],"mapping":[25],"preference":[27,45,69],"vectors":[28,46,70],"in":[29,37,81,90],"objective":[31],"space":[32],"to":[33,56,122],"optimal":[35],"solutions":[36],"decision":[39],"space.":[40],"However,":[41],"sampling":[43,66],"theoretically":[47],"requires":[48],"prior":[49,110,181],"knowledge":[50],"front":[54,76,93,99,173],"shape":[55,77,169],"ensure":[57],"high":[58,187],"performance":[59,188],"PSL":[62],"methods.":[63],"Designing":[64],"strategy":[67],"difficult":[72],"since":[73],"cannot":[78],"be":[79],"known":[80],"advance.":[82],"To":[83],"make":[84],"work":[88],"effectively":[89],"any":[91,168],"shape,":[94],"we":[95],"propose":[96],"shape-agnostic":[100],"_Set":[102],"Learning":[103],"(GPSL)":[104],"that":[105,149],"does":[106],"not":[107],"require":[108],"information":[111],"about":[112],"front.":[115],"The":[116],"fundamental":[117],"concept":[118],"behind":[119],"GPSL":[120,136],"treat":[123],"as":[130],"distribution":[132,141,161],"transformation":[133],"Specifically,":[135],"can":[137,166],"transform":[138],"arbitrary":[140],"into":[142],"distribution.":[146],"We":[147],"demonstrate":[148],"training":[150],"neural":[152],"network":[153],"by":[154],"maximizing":[155],"hypervolume":[156],"enables":[157],"process":[159],"transformation.":[162],"Our":[163],"proposed":[164,191],"method":[165,192],"handle":[167],"and":[174],"learn":[175],"without":[179],"requiring":[180],"knowledge.":[182],"Experimental":[183],"results":[184],"show":[185],"our":[190],"diverse":[194],"test":[195],"problems":[196],"compared":[197],"with":[198],"recent":[199],"algorithms.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}