{"id":"https://openalex.org/W2479558876","doi":"https://doi.org/10.1145/2908961.2931652","title":"Maintaining Diversity in The Bounded Pareto-Set","display_name":"Maintaining Diversity in The Bounded Pareto-Set","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2479558876","doi":"https://doi.org/10.1145/2908961.2931652","mag":"2479558876"},"language":"en","primary_location":{"id":"doi:10.1145/2908961.2931652","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2931652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on 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/A5073320770","display_name":"Akm Khaled Ahsan Talukder","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"AKM Khaled Ahsan Talukder","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088394271","display_name":"Kalyanmoy Deb","orcid":"https://orcid.org/0000-0001-7402-9939"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyanmoy Deb","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077727968","display_name":"Shahryar Rahnamayan","orcid":"https://orcid.org/0000-0002-6990-787X"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shahryar Rahnamayan","raw_affiliation_strings":["University of Ontario Institute of Technology, Ontario, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ontario Institute of Technology, Ontario, ON, Canada","institution_ids":["https://openalex.org/I39470171"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"945","last_page":"951"},"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":0.9991000294685364,"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":0.9937000274658203,"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":0.7263685464859009},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6566430330276489},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.587158739566803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5846002697944641},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5226495265960693},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49381646513938904},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41211119294166565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2757134437561035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25914466381073},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07711422443389893}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7263685464859009},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6566430330276489},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.587158739566803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5846002697944641},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5226495265960693},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49381646513938904},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41211119294166565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2757134437561035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25914466381073},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07711422443389893},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908961.2931652","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2931652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4699999988079071,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1601556876","https://openalex.org/W1887884901","https://openalex.org/W1969487935","https://openalex.org/W1997555206","https://openalex.org/W2007005198","https://openalex.org/W2014337138","https://openalex.org/W2019198709","https://openalex.org/W2022485595","https://openalex.org/W2038636021","https://openalex.org/W2050914643","https://openalex.org/W2103839413","https://openalex.org/W2107195522","https://openalex.org/W2123682012","https://openalex.org/W2125899728","https://openalex.org/W2162745921","https://openalex.org/W2994964425","https://openalex.org/W4285719527","https://openalex.org/W6639342558"],"related_works":["https://openalex.org/W2996366161","https://openalex.org/W4318426920","https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W2080708212","https://openalex.org/W2055791821","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W1994436307"],"abstract_inverted_index":{"For":[0],"more":[1],"than":[2,150],"two":[3,47,136],"decades,":[4],"stand-alone":[5],"evolutionary":[6],"multi-objective":[7,26],"optimization":[8,27,173],"(EMO)":[9],"methods":[10],"have":[11,44],"been":[12],"adequately":[13],"demonstrated":[14],"to":[15,146,169],"find":[16],"a":[17,30,39,50,74,101,104,132],"set":[18],"of":[19,33,60,65,127,135,157],"trade-off":[20],"solutions":[21,71,94,116],"near":[22],"Pareto-front":[23],"for":[24,49,182],"various":[25],"problems.":[28,142],"Despite":[29],"long-standing":[31],"existence":[32],"classical":[34],"generative":[35],"single-objective":[36,75,171],"based":[37,86],"methods,":[38],"very":[40],"few":[41],"EMO":[42,67,153,167,180],"studies":[43],"combined":[45],"the":[46,58,62,96,110,114,118,151],"approaches":[48],"better":[51,149,185],"gain.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"investigate":[57],"effect":[59],"seeding":[61],"initial":[63],"population":[64,120],"an":[66,84,124,175,183],"algorithm":[68],"with":[69,83,178],"extreme":[70,115],"obtained":[72],"using":[73],"method.":[76],"Our":[77],"proposed":[78,129],"approach":[79,130,154],"is":[80],"further":[81],"aided":[82],"opposition":[85],"offspring":[87],"creation":[88],"mechanism":[89],"which":[90],"strategically":[91],"places":[92],"new":[93],"on":[95,131],"current":[97,119],"Pareto":[98],"frontier":[99],"by":[100],"simple,":[102],"yet":[103],"novel":[105],"arbitration":[106],"policy":[107],"that":[108],"utilizes":[109],"relative":[111],"distances":[112],"from":[113],"in":[117,155],"members.":[121],"We":[122],"conduct":[123],"extensive":[125],"simulation":[126],"our":[128],"wide":[133],"variety":[134],"and":[137,164,174],"three-objective":[138],"benchmark":[139],"MOP":[140],"test":[141],"Results":[143],"are":[144,162],"shown":[145],"be":[147],"remarkably":[148],"original":[152],"terms":[156],"hyper-volume":[158],"metric.":[159],"The":[160],"results":[161],"interesting":[163],"should":[165],"motivate":[166],"researchers":[168],"integrate":[170],"focused":[172],"opposition-based":[176],"concept":[177],"diversity-preserving":[179],"procedures":[181],"overall":[184],"performance.":[186]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
