{"id":"https://openalex.org/W3179212483","doi":"https://doi.org/10.1145/3449726.3459453","title":"Dynamic adaptation of decomposition vector set size for MOEA/D","display_name":"Dynamic adaptation of decomposition vector set size for MOEA/D","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3179212483","doi":"https://doi.org/10.1145/3449726.3459453","mag":"3179212483"},"language":"en","primary_location":{"id":"doi:10.1145/3449726.3459453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449726.3459453","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5103237742","display_name":"Yuta Kobayashi","orcid":"https://orcid.org/0000-0001-5274-8932"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Kobayashi","raw_affiliation_strings":["University of Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047785995","display_name":"Claus Aranha","orcid":"https://orcid.org/0000-0003-1390-7536"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Claus Aranha","raw_affiliation_strings":["University of Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080813451","display_name":"Tetsuya Sakurai","orcid":"https://orcid.org/0000-0003-2046-8973"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Sakurai","raw_affiliation_strings":["University of Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"182"},"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":0.9957000017166138,"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":0.9945999979972839,"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/weight","display_name":"Weight","score":0.8145186901092529},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7361476421356201},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6460832357406616},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6292392015457153},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.610901951789856},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5597262978553772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4566854238510132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43422606587409973},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3854202926158905}],"concepts":[{"id":"https://openalex.org/C183877218","wikidata":"https://www.wikidata.org/wiki/Q7979858","display_name":"Weight","level":3,"score":0.8145186901092529},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7361476421356201},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6460832357406616},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6292392015457153},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.610901951789856},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5597262978553772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4566854238510132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43422606587409973},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3854202926158905},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C51568863","wikidata":"https://www.wikidata.org/wiki/Q664495","display_name":"Lie algebra","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3449726.3459453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449726.3459453","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":6,"referenced_works":["https://openalex.org/W1846834309","https://openalex.org/W2023685757","https://openalex.org/W2125899728","https://openalex.org/W2143381319","https://openalex.org/W2148465112","https://openalex.org/W2753944351"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2726551571","https://openalex.org/W2558193570","https://openalex.org/W2466060750","https://openalex.org/W3113710366","https://openalex.org/W4317107207","https://openalex.org/W17251346","https://openalex.org/W3191679877","https://openalex.org/W2887328214"],"abstract_inverted_index":{"The":[0,19,117],"Multi":[1,15],"Objective":[2,16],"Evolutionary":[3],"Algorithm":[4],"based":[5],"on":[6,55,73,125],"Decomposition":[7],"(MOEA/D)":[8],"is":[9,24,44,68,123,147],"a":[10,27,37,89],"popular":[11],"algorithm":[12,122],"for":[13,65],"solving":[14],"Problems":[17],"(MOP).":[18],"main":[20],"characteristic":[21],"of":[22,29,39,50,58,81,97,119,144],"MOEA/D":[23,51,91,150,158],"to":[25,32,70,108,113,139,149],"use":[26],"set":[28,38],"weight":[30,59,104,145],"vectors":[31,105,146,154],"break":[33],"the":[34,48,56,62,74,79,82,95,98,110,120,126,134,142],"MOP":[35],"into":[36],"single-objective":[40],"sub":[41],"problems.":[42],"It":[43],"well":[45,77],"known":[46],"that":[47,93,133],"performance":[49,118],"varies":[52],"greatly":[53],"depending":[54,72],"number":[57,143],"vectors.":[60,162],"However,":[61],"appropriate":[63],"value":[64],"this":[66,85],"hyper-parameter":[67],"likely":[69],"vary":[71],"problem,":[75],"as":[76,78,106],"stage":[80],"search.":[83],"In":[84],"study,":[86],"we":[87],"propose":[88],"robust":[90],"variant":[92],"evaluates":[94],"progress":[96],"search,":[99],"and":[100,128,155],"deletes":[101],"or":[102,112],"creates":[103],"necessary":[107],"improve":[109],"optimization":[111],"avoid":[114],"search":[115],"stagnation.":[116],"proposed":[121,135],"evaluated":[124],"DTLZ":[127],"ZDT":[129],"benchmark.":[130],"We":[131],"observed":[132],"method":[136],"without":[137],"needing":[138],"explicitly":[140],"choose":[141],"equivalent":[148],"with":[151,159],"fine":[152],"tuned":[153,161],"superior":[156],"than":[157],"poorly":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}