{"id":"https://openalex.org/W1996228877","doi":"https://doi.org/10.1145/2576768.2598342","title":"An improved NSGA-III procedure for evolutionary many-objective optimization","display_name":"An improved NSGA-III procedure for evolutionary many-objective optimization","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W1996228877","doi":"https://doi.org/10.1145/2576768.2598342","mag":"1996228877"},"language":"en","primary_location":{"id":"doi:10.1145/2576768.2598342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","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/A5100334807","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0003-4233-4407"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086201515","display_name":"Hua Xu","orcid":"https://orcid.org/0000-0002-7401-307X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Xu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408076","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-2918-1912"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100334807"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":14.257,"has_fulltext":false,"cited_by_count":178,"citation_normalized_percentile":{"value":0.99213483,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"661","last_page":"668"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983000159263611,"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":0.9914000034332275,"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":0.7503702640533447},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7417386770248413},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.7323758006095886},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6304260492324829},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6225481033325195},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5898146629333496},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5647221803665161},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5165008902549744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4940855801105499},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.46532174944877625},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43872392177581787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3498654365539551},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17209818959236145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16123121976852417},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08535125851631165}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7503702640533447},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7417386770248413},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7323758006095886},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6304260492324829},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6225481033325195},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5898146629333496},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5647221803665161},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5165008902549744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4940855801105499},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.46532174944877625},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43872392177581787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3498654365539551},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17209818959236145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16123121976852417},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08535125851631165},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2576768.2598342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W121448509","https://openalex.org/W225560312","https://openalex.org/W1484287363","https://openalex.org/W1490528537","https://openalex.org/W1512891209","https://openalex.org/W1533748389","https://openalex.org/W1561610472","https://openalex.org/W1585939719","https://openalex.org/W1588375755","https://openalex.org/W1607104331","https://openalex.org/W2000825106","https://openalex.org/W2022485595","https://openalex.org/W2024008934","https://openalex.org/W2038420231","https://openalex.org/W2055025427","https://openalex.org/W2063375245","https://openalex.org/W2104456211","https://openalex.org/W2108968575","https://openalex.org/W2113058275","https://openalex.org/W2116555342","https://openalex.org/W2126105956","https://openalex.org/W2137583606","https://openalex.org/W2143381319","https://openalex.org/W2148933727","https://openalex.org/W2150046657","https://openalex.org/W2163648239","https://openalex.org/W2167145078","https://openalex.org/W2997546679","https://openalex.org/W3023175681","https://openalex.org/W3023540311","https://openalex.org/W4236788560"],"related_works":["https://openalex.org/W49841733","https://openalex.org/W2090178682","https://openalex.org/W3040982696","https://openalex.org/W2235689181","https://openalex.org/W1994686097","https://openalex.org/W2906115061","https://openalex.org/W2073147994","https://openalex.org/W2977596624","https://openalex.org/W2001591765","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Many-objective":[0],"(four":[1],"or":[2],"more":[3],"objectives)":[4],"optimization":[5],"problems":[6],"pose":[7],"a":[8,49,78],"great":[9],"challenge":[10],"to":[11,29,58,90,119,142],"the":[12,30,33,42,64,92,101,122,131,137,146,166],"classical":[13],"Pareto-dominance":[14,38,89],"based":[15,36,51,135],"multi-objective":[16],"evolutionary":[17],"algorithms":[18],"(MOEAs),":[19],"such":[20],"as":[21,54],"NSGA-II":[22],"and":[23,75,124,154,169,178],"SPEA2.":[24],"This":[25],"is":[26,56,71,116,140,162],"mainly":[27],"due":[28],"fact":[31],"that":[32,160],"selection":[34,148],"pressure":[35],"on":[37,88,136,171],"degrades":[39],"severely":[40],"with":[41,60],"number":[43,79],"of":[44,66,80,103],"objectives":[45],"increasing.":[46],"Very":[47],"recently,":[48],"reference-point":[50],"NSGA-II,":[52],"referred":[53],"NSGA-III,":[55],"suggested":[57],"deal":[59],"many-objective":[61,127],"problems,":[62],"where":[63],"maintenance":[65],"diversity":[67,125],"among":[68],"population":[69,93],"members":[70],"aided":[72],"by":[73],"supplying":[74],"adaptively":[76],"updating":[77],"well-spread":[81],"reference":[82],"points.":[83],"However,":[84],"NSGA-III":[85,112,168],"still":[86],"relies":[87],"push":[91],"towards":[94],"Pareto":[95],"front":[96],"(PF),":[97],"leaving":[98],"room":[99],"for":[100],"improvement":[102],"its":[104],"convergence":[105,123,153,177],"ability.":[106],"In":[107,129],"this":[108],"paper,":[109],"an":[110],"improved":[111],"procedure,":[113],"called":[114],"\u03b8-NSGA-III,":[115,130],"proposed,":[117],"aiming":[118],"better":[120,164],"tradeoff":[121],"in":[126,145,176],"optimization.":[128],"non-dominated":[132],"sorting":[133],"scheme":[134],"proposed":[138],"\u03b8-dominance":[139],"employed":[141],"rank":[143],"solutions":[144],"environmental":[147],"phase,":[149],"which":[150],"ensures":[151],"both":[152],"diversity.":[155],"Computational":[156],"experiments":[157],"have":[158],"shown":[159],"\u03b8-NSGA-III":[161],"significantly":[163],"than":[165],"original":[167],"MOEA/D":[170],"most":[172],"instances":[173],"no":[174],"matter":[175],"overall":[179],"performance.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":11}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}