{"id":"https://openalex.org/W2559591803","doi":"https://doi.org/10.1109/cec.2016.7743917","title":"How to compare many-objective algorithms under different settings of population and archive sizes","display_name":"How to compare many-objective algorithms under different settings of population and archive sizes","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2559591803","doi":"https://doi.org/10.1109/cec.2016.7743917","mag":"2559591803"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7743917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","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/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hisao Ishibuchi","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072935373","display_name":"Yu Setoguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Setoguchi","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020487162","display_name":"Hiroyuki Masuda","orcid":"https://orcid.org/0000-0003-3288-0236"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Masuda","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004957967","display_name":"Yusuke Nojima","orcid":"https://orcid.org/0000-0003-4853-1305"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Nojima","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035595838"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":3.4847,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.93329227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1149","last_page":"1156"},"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":0.996399998664856,"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":0.992900013923645,"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/selection","display_name":"Selection (genetic algorithm)","score":0.7375537753105164},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6676364541053772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6455320119857788},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.641481339931488},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6294943690299988},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.573662519454956},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.556033730506897},{"id":"https://openalex.org/keywords/population-size","display_name":"Population size","score":0.4673607349395752},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4487893283367157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44261062145233154},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4420161545276642},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4393453896045685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2895132899284363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21066132187843323},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.15188559889793396}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7375537753105164},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6676364541053772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455320119857788},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.641481339931488},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6294943690299988},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.573662519454956},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.556033730506897},{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.4673607349395752},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4487893283367157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44261062145233154},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4420161545276642},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4393453896045685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2895132899284363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21066132187843323},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.15188559889793396},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2016.7743917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1480517346","https://openalex.org/W1499764069","https://openalex.org/W1503894073","https://openalex.org/W1542593816","https://openalex.org/W1543520236","https://openalex.org/W1558919105","https://openalex.org/W1564638059","https://openalex.org/W1662894842","https://openalex.org/W1965780386","https://openalex.org/W1977398789","https://openalex.org/W1985197628","https://openalex.org/W1985904652","https://openalex.org/W2022485595","https://openalex.org/W2025283589","https://openalex.org/W2025525377","https://openalex.org/W2027009057","https://openalex.org/W2038420231","https://openalex.org/W2040622444","https://openalex.org/W2049862811","https://openalex.org/W2050914643","https://openalex.org/W2063762480","https://openalex.org/W2067544246","https://openalex.org/W2102365077","https://openalex.org/W2103176750","https://openalex.org/W2108968575","https://openalex.org/W2117068724","https://openalex.org/W2127459836","https://openalex.org/W2135722125","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2151554678","https://openalex.org/W2275394662","https://openalex.org/W2326149522","https://openalex.org/W2343498104","https://openalex.org/W3037787799","https://openalex.org/W6632265037"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W85101999","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W2158299108"],"abstract_inverted_index":{"In":[0,32,92],"the":[1,12,35,45,48,54,65,100,119,125,139,143,149,164,170,176,180],"evolutionary":[2,103],"multi-objective":[3],"optimization":[4,105],"community,":[5],"algorithm":[6],"comparison":[7,160,184],"is":[8,18,26,118,135,145],"usually":[9,27],"performed":[10],"under":[11],"same":[13],"population":[14,165,178],"size.":[15,166],"However,":[16],"this":[17,93],"not":[19],"always":[20],"fair":[21],"because":[22],"its":[23],"best":[24],"specification":[25],"different":[28],"in":[29],"each":[30,128],"algorithm.":[31,129],"many-objective":[33,104],"optimization,":[34],"number":[36,85,112],"of":[37,59,86,102,113,121,127,148,172],"solutions":[38,60,88,182],"to":[39,52,69,98,107],"be":[40,62,90],"found":[41],"may":[42,61,89],"depend":[43],"on":[44,163,183],"situation.":[46],"If":[47,64],"decision":[49,66],"maker":[50,67],"wants":[51,68],"analyze":[53],"entire":[55],"Pareto":[56],"front,":[57],"thousands":[58],"needed.":[63,91],"choose":[70],"a":[71,83],"single":[72],"final":[73,140,177],"solution":[74,122,136,173],"from":[75,138,146,175],"some":[76],"candidates":[77],"after":[78,124],"their":[79],"quick":[80],"checks,":[81],"only":[82],"small":[84],"representative":[87],"paper,":[94],"we":[95,156,168],"discuss":[96],"how":[97],"evaluate":[99],"ability":[101],"algorithms":[106],"find":[108],"an":[109],"arbitrarily":[110],"specified":[111],"non-dominated":[114],"solutions.":[115,151],"Our":[116],"idea":[117],"use":[120],"selection":[123,137,174],"termination":[126],"We":[130],"examine":[131,169],"two":[132],"scenarios:":[133],"One":[134],"population,":[141],"and":[142,179],"other":[144],"all":[147],"examined":[150,181],"Through":[152],"computational":[153],"experiments,":[154],"first":[155],"demonstrate":[157],"that":[158],"performance":[159],"heavily":[161],"depends":[162],"Then":[167],"effects":[171],"results.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-02-03T00:53:05.648605","created_date":"2025-10-10T00:00:00"}
