{"id":"https://openalex.org/W2770057090","doi":"https://doi.org/10.1109/tcyb.2017.2762701","title":"DECAL: Decomposition-Based Coevolutionary Algorithm for Many-Objective Optimization","display_name":"DECAL: Decomposition-Based Coevolutionary Algorithm for Many-Objective Optimization","publication_year":2017,"publication_date":"2017-11-20","ids":{"openalex":"https://openalex.org/W2770057090","doi":"https://doi.org/10.1109/tcyb.2017.2762701","mag":"2770057090","pmid":"https://pubmed.ncbi.nlm.nih.gov/29990116"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2017.2762701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2762701","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/A5100624916","display_name":"Yuhui Zhang","orcid":"https://orcid.org/0000-0002-5769-3456"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu-Hui Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5769-3456","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063438356","display_name":"Yue\u2010Jiao Gong","orcid":"https://orcid.org/0000-0002-5648-1160"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-Jiao Gong","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5648-1160","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645356","display_name":"Tianlong Gu","orcid":"https://orcid.org/0000-0002-1593-1292"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Long Gu","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101191958","display_name":"Huaqiang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua-Qiang Yuan","raw_affiliation_strings":["Dongguan University of Technology, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101899687","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-9719-554X"},"institutions":[{"id":"https://openalex.org/I50180762","display_name":"Chongqing Three Gorges University","ror":"https://ror.org/05rs3pv16","country_code":"CN","type":"education","lineage":["https://openalex.org/I50180762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Chongqing Three Gorges University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Three Gorges University, Chongqing, China","institution_ids":["https://openalex.org/I50180762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7835-9871","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100624916"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":4.266,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95169158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"49","issue":"1","first_page":"27","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9973999857902527,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9930999875068665,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7029746770858765},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6363515853881836},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5919268727302551},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5834490656852722},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5800732970237732},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5522659420967102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5330604314804077},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.525739312171936},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5173805952072144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43960943818092346},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.43522581458091736},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4178128242492676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37238508462905884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2114996612071991},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0675649344921112}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7029746770858765},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6363515853881836},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5919268727302551},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5834490656852722},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5800732970237732},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5522659420967102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5330604314804077},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.525739312171936},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5173805952072144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43960943818092346},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.43522581458091736},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4178128242492676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37238508462905884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2114996612071991},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0675649344921112},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2017.2762701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2762701","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:29990116","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29990116","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":[],"awards":[{"id":"https://openalex.org/G3191098097","display_name":null,"funder_award_id":"61332002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8535653223","display_name":null,"funder_award_id":"61502542","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W225560312","https://openalex.org/W1480428252","https://openalex.org/W1488494358","https://openalex.org/W1500125712","https://openalex.org/W1512891209","https://openalex.org/W1519778441","https://openalex.org/W1575601714","https://openalex.org/W1588375755","https://openalex.org/W1595205399","https://openalex.org/W1605170913","https://openalex.org/W1679265603","https://openalex.org/W1785837541","https://openalex.org/W1831950995","https://openalex.org/W1856614156","https://openalex.org/W1976743943","https://openalex.org/W1987958230","https://openalex.org/W1990057974","https://openalex.org/W1992212078","https://openalex.org/W2011048370","https://openalex.org/W2017299308","https://openalex.org/W2021418037","https://openalex.org/W2022485595","https://openalex.org/W2023685757","https://openalex.org/W2024008934","https://openalex.org/W2025525377","https://openalex.org/W2030347721","https://openalex.org/W2038420231","https://openalex.org/W2040622444","https://openalex.org/W2046725771","https://openalex.org/W2050914643","https://openalex.org/W2067544246","https://openalex.org/W2071694551","https://openalex.org/W2072661909","https://openalex.org/W2081939577","https://openalex.org/W2083457599","https://openalex.org/W2098907614","https://openalex.org/W2100211715","https://openalex.org/W2106334424","https://openalex.org/W2108968575","https://openalex.org/W2116858902","https://openalex.org/W2123485079","https://openalex.org/W2126105956","https://openalex.org/W2128357515","https://openalex.org/W2134152443","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2146713522","https://openalex.org/W2148615815","https://openalex.org/W2150046657","https://openalex.org/W2153125965","https://openalex.org/W2154693991","https://openalex.org/W2156262512","https://openalex.org/W2167322292","https://openalex.org/W2278034838","https://openalex.org/W2343498104","https://openalex.org/W2404080558","https://openalex.org/W2419125634","https://openalex.org/W2463564488","https://openalex.org/W2466060750","https://openalex.org/W2994964425","https://openalex.org/W3023175681","https://openalex.org/W4285719527","https://openalex.org/W6608886761","https://openalex.org/W6628770400","https://openalex.org/W6635433731","https://openalex.org/W6675537533","https://openalex.org/W6771627385"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2726551571","https://openalex.org/W2022485595"],"abstract_inverted_index":{"This":[0],"paper":[1,121],"develops":[2],"a":[3,12,32,37,52,73,144,154],"decomposition-based":[4],"coevolutionary":[5],"algorithm":[6,48,68,134,164],"for":[7,18,58,84,106],"many-objective":[8,27,140],"optimization,":[9],"which":[10,99],"evolves":[11],"number":[13,33,146],"of":[14,22,34,39,46,66,147],"subpopulations":[15,83],"in":[16,96,119],"parallel":[17],"approaching":[19],"the":[20,47,60,67,81,86,89,93,107,124,129,162],"set":[21,38],"Pareto":[23],"optimal":[24],"solutions.":[25],"The":[26,63,132],"problem":[28],"is":[29,49,56,69,135,165],"decomposed":[30],"into":[31],"subproblems":[35],"using":[36,72],"well-distributed":[40],"weight":[41,53],"vectors.":[42],"Accordingly,":[43],"each":[44,97],"subpopulation":[45],"associated":[50],"with":[51,114,137],"vector":[54],"and":[55,127],"responsible":[57],"solving":[59],"corresponding":[61],"subproblem.":[62],"exploration":[64],"ability":[65],"improved":[70],"by":[71,102],"mating":[74],"pool":[75],"that":[76,161],"collects":[77],"elite":[78],"individuals":[79,95],"from":[80],"cooperative":[82],"breeding":[85],"offspring.":[87],"In":[88],"subsequent":[90],"environmental":[91],"selection,":[92],"top-ranked":[94],"subpopulation,":[98],"are":[100,117],"appraised":[101],"aggregation":[103,112],"functions,":[104],"survive":[105],"next":[108],"iteration.":[109],"Two":[110],"new":[111],"functions":[113],"distinct":[115],"characteristics":[116],"designed":[118],"this":[120],"to":[122],"enhance":[123],"population":[125],"diversity":[126],"accelerate":[128],"convergence":[130],"speed.":[131],"proposed":[133,163],"compared":[136],"several":[138],"state-of-the-art":[139],"evolutionary":[141],"algorithms":[142],"on":[143,153],"large":[145],"benchmark":[148],"instances,":[149],"as":[150,152],"well":[151],"real-world":[155],"design":[156],"problem.":[157],"Experimental":[158],"results":[159],"show":[160],"very":[166],"competitive.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}