{"id":"https://openalex.org/W7131298844","doi":"https://doi.org/10.1109/tcyb.2026.3663430","title":"A Coevolutionary Algorithm Based on Dominance and Decomposition for Constrained Multiobjective Optimization","display_name":"A Coevolutionary Algorithm Based on Dominance and Decomposition for Constrained Multiobjective Optimization","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131298844","doi":"https://doi.org/10.1109/tcyb.2026.3663430","pmid":"https://pubmed.ncbi.nlm.nih.gov/41734122"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2026.3663430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2026.3663430","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5110822152","display_name":"Zhengpeng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengpeng Hu","raw_affiliation_strings":["School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-9271-5762","affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126720312","display_name":"Xiaobing Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Yu","raw_affiliation_strings":["School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5917-760X","affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113355433","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Measurement and Control Systems, Silesian University of Technology (SUT), Gliwice, Poland"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Measurement and Control Systems, Silesian University of Technology (SUT), Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126724723","display_name":"Yu Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xue","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.24495344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"7","first_page":"4054","last_page":"4067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.7373999953269958,"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":0.7373999953269958,"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":0.05299999937415123,"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":0.012299999594688416,"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/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6593999862670898},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6036999821662903},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5838000178337097},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5666000247001648},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5497000217437744},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.45649999380111694},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4417000114917755},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.39329999685287476}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6972000002861023},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6593999862670898},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6036999821662903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597599983215332},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5838000178337097},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5497000217437744},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.45649999380111694},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26499998569488525},{"id":"https://openalex.org/C2989514635","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization problem","level":3,"score":0.2615000009536743},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2026.3663430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2026.3663430","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:41734122","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41734122","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6665772199630737}],"awards":[{"id":"https://openalex.org/G4403794029","display_name":null,"funder_award_id":"R2023Q08","funder_id":"https://openalex.org/F4320327794","funder_display_name":"Qinglan Project of Jiangsu Province of China"},{"id":"https://openalex.org/G4531804245","display_name":null,"funder_award_id":"72574105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G581012943","display_name":null,"funder_award_id":"72274099","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"},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Solving":[0],"constrained":[1,7,128],"multiobjective":[2,8],"optimization":[3],"problems":[4],"(CMOPs)":[5],"by":[6],"evolutionary":[9],"algorithms":[10],"(CMOEAs)":[11],"has":[12],"been":[13,26],"a":[14,72,95,108],"timely":[15],"research":[16],"topic":[17],"in":[18,28,49,67,122,131],"recent":[19],"years.":[20],"While":[21],"various":[22],"improvement":[23],"strategies":[24],"have":[25],"proposed":[27,206],"existing":[29,179],"studies,":[30],"the":[31,91,100,113,118,123,127,132,147,201,205],"dominance-based":[32,77,92],"and":[33,78,103,126,140,166,171,196],"decomposition-based":[34,79,114],"frameworks":[35,80,158],"are":[36,159],"usually":[37],"used":[38],"independently,":[39],"despite":[40],"their":[41,87],"complementary":[42],"characteristics":[43],"on":[44,117,192],"different":[45,157],"problem":[46,97,102],"types-dominance":[47],"excels":[48],"feasibility":[50],"handling":[51],"while":[52,112],"decomposition":[53],"offers":[54],"directional":[55],"guidance-which":[56],"could":[57],"jointly":[58],"enhance":[59],"search":[60],"performance":[61,202],"when":[62],"properly":[63],"integrated.":[64],"With":[65],"this":[66,69],"mind,":[68],"article":[70],"proposes":[71],"coevolutionary":[73],"algorithm":[74],"using":[75],"both":[76],"to":[81],"coevolve":[82],"two":[83],"populations,":[84],"thereby":[85,144],"leveraging":[86],"respective":[88],"advantages.":[89],"Specifically,":[90],"population":[93,115],"optimizes":[94],"dynamic":[96],"derived":[98],"from":[99],"original":[101],"achieves":[104],"diversity":[105],"preservation":[106],"through":[107,135],"tolerance-based":[109],"selection":[110,142],"strategy,":[111,143],"focuses":[116],"unconstrained":[119],"Pareto":[120,129],"front":[121,130],"early":[124],"stage":[125,134,136],"later":[133],"identification,":[137],"objective":[138],"switching,":[139],"relevance-based":[141],"directly":[145],"addressing":[146],"limitation":[148],"of":[149,161,204],"isolated":[150],"framework":[151],"usage.":[152],"In":[153],"addition,":[154],"populations":[155],"with":[156,188],"capable":[160],"sharing":[162],"information":[163],"between":[164],"parents":[165],"offspring":[167,169],"during":[168],"generation":[170],"environmental":[172],"selection,":[173],"respectively,":[174],"enabling":[175],"mutual":[176],"reinforcement":[177],"that":[178],"single-framework":[180],"or":[181],"loosely":[182],"coupled":[183],"approaches":[184],"lack.":[185],"Experimental":[186],"results":[187],"11":[189],"state-of-the-art":[190],"CMOEAs":[191],"four":[193],"benchmark":[194],"suites":[195],"five":[197],"real-world":[198],"CMOPs":[199],"demonstrate":[200],"advantages":[203],"algorithm.":[207]},"counts_by_year":[],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2026-02-25T00:00:00"}
