{"id":"https://openalex.org/W2144585681","doi":"https://doi.org/10.1145/1389095.1389224","title":"Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization","display_name":"Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2144585681","doi":"https://doi.org/10.1145/1389095.1389224","mag":"2144585681"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389224","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th 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/A5022961286","display_name":"Christian Horoba","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Horoba","raw_affiliation_strings":["Technische Universit\u00e4t Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089531887","display_name":"Frank Neumann","orcid":"https://orcid.org/0000-0002-2721-3618"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Neumann","raw_affiliation_strings":["Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022961286"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":null,"apc_paid":null,"fwci":7.2095,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97292938,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"641","last_page":"648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.9965000152587891,"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":0.731629490852356},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7207041382789612},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6172454357147217},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5947250127792358},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.5095722675323486},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5068402886390686},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5030500292778015},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.5028049945831299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4772198796272278},{"id":"https://openalex.org/keywords/exponential-growth","display_name":"Exponential growth","score":0.45166850090026855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.451039582490921},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4281047582626343}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.731629490852356},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7207041382789612},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6172454357147217},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5947250127792358},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.5095722675323486},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5068402886390686},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5030500292778015},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.5028049945831299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4772198796272278},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.45166850090026855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.451039582490921},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4281047582626343},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1389095.1389224","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/66762","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/66762","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1145/1389095.1389224","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W42649658","https://openalex.org/W1503614322","https://openalex.org/W1537382387","https://openalex.org/W1552383524","https://openalex.org/W1553373771","https://openalex.org/W1588375755","https://openalex.org/W1595498733","https://openalex.org/W1965681731","https://openalex.org/W1976513030","https://openalex.org/W1983804795","https://openalex.org/W2043819676","https://openalex.org/W2063375245","https://openalex.org/W2066124178","https://openalex.org/W2075674482","https://openalex.org/W2084149434","https://openalex.org/W2152688255","https://openalex.org/W2162189348","https://openalex.org/W2167159964","https://openalex.org/W2222230941","https://openalex.org/W2585305412","https://openalex.org/W2615258659","https://openalex.org/W2994964425","https://openalex.org/W4285719527","https://openalex.org/W4302557773","https://openalex.org/W6842021184"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2145877535"],"abstract_inverted_index":{"Using":[0],"diversity":[1,72],"mechanisms":[2],"in":[3,24,96],"evolutionary":[4],"algorithms":[5],"for":[6,16,28],"multi-objective":[7],"optimization":[8,120],"problems":[9,29],"is":[10,23,38,51,82],"considered":[11],"as":[12],"an":[13,91],"important":[14],"issue":[15],"the":[17,26,31,43,49,58,71,103,113,119],"design":[18],"of":[19,33,57,74,90,105,115],"successful":[20],"algorithms.":[21],"This":[22],"particular":[25],"case":[27,48],"where":[30,79,112],"number":[32],"non-dominated":[34],"feasible":[35],"objective":[36],"vectors":[37],"exponential":[39],"with":[40],"respect":[41],"to":[42,52,85],"problem":[44],"size.":[45],"In":[46],"this":[47,64,80,106],"goal":[50,65],"compute":[53],"a":[54,87],"good":[55,88],"approximation":[56,89],"Pareto":[59,94],"front.":[60],"We":[61],"investigate":[62],"how":[63],"can":[66],"be":[67],"achieved":[68],"by":[69],"using":[70],"mechanism":[73],"epsilon-dominance":[75,116],"and":[76,108],"point":[77,109],"out":[78,110],"concept":[81],"provably":[83],"helpful":[84],"obtain":[86],"exponentially":[92],"large":[93],"front":[95],"expected":[97],"polynomial":[98],"time.":[99],"Afterwards,":[100],"we":[101],"consider":[102],"drawbacks":[104],"approach":[107],"situations":[111],"use":[114],"slows":[117],"down":[118],"process":[121],"significantly.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
