{"id":"https://openalex.org/W3038551273","doi":"https://doi.org/10.1145/3377930.3390177","title":"Bivariate estimation-of-distribution algorithms can find an exponential number of optima","display_name":"Bivariate estimation-of-distribution algorithms can find an exponential number of optima","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3038551273","doi":"https://doi.org/10.1145/3377930.3390177","mag":"3038551273"},"language":"en","primary_location":{"id":"doi:10.1145/3377930.3390177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04132943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102961331","display_name":"Benjamin Doerr","orcid":"https://orcid.org/0000-0002-9786-220X"},"institutions":[{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benjamin Doerr","raw_affiliation_strings":["Institut Polytechnique de Paris, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056585957","display_name":"Martin S. Krejca","orcid":"https://orcid.org/0000-0002-1765-1219"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin S. Krejca","raw_affiliation_strings":["Hasso Plattner Institute, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]}]}],"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":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"796","last_page":"804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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":0.9887999892234802,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9624000191688538,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.6620186567306519},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.6128230094909668},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6032666563987732},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6001226902008057},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5983206629753113},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5245540142059326},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.508183479309082},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5017492771148682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4905247092247009},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4766574501991272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4298046827316284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3844315707683563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17139098048210144}],"concepts":[{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.6620186567306519},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.6128230094909668},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6032666563987732},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6001226902008057},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5983206629753113},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5245540142059326},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.508183479309082},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5017492771148682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4905247092247009},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4766574501991272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4298046827316284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3844315707683563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17139098048210144},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3377930.3390177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04132943v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04132943","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Canc\u00fan (on line), Mexico. pp.796-804, &#x27E8;10.1145/3377930.3390177&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04132943v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04132943","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Canc\u00fan (on line), Mexico. pp.796-804, &#x27E8;10.1145/3377930.3390177&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2249808486","display_name":null,"funder_award_id":"ANR-11-LABX-0056-LMH","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4895254678","display_name":"LabEx Math\u00e9matique Hadamard","funder_award_id":"ANR-11-LABX-0056","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5755857060","display_name":null,"funder_award_id":"ANR-11-LABX-0056-LMH, LabEx LMH","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6395863086","display_name":null,"funder_award_id":"11-LABX-0056-LMH","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G803393729","display_name":null,"funder_award_id":"CA15140","funder_id":"https://openalex.org/F4320320366","funder_display_name":"European Cooperation in Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320366","display_name":"European Cooperation in Science and Technology","ror":"https://ror.org/01bstzn19"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1058439126","https://openalex.org/W1509028783","https://openalex.org/W1511986666","https://openalex.org/W1529520349","https://openalex.org/W1535597929","https://openalex.org/W1552022483","https://openalex.org/W1585335425","https://openalex.org/W1601564256","https://openalex.org/W1692958259","https://openalex.org/W2000642804","https://openalex.org/W2053138404","https://openalex.org/W2088348547","https://openalex.org/W2096590200","https://openalex.org/W2102559904","https://openalex.org/W2113046796","https://openalex.org/W2148379945","https://openalex.org/W2166603077","https://openalex.org/W2171312531","https://openalex.org/W2499149626","https://openalex.org/W2965584143","https://openalex.org/W2982373721","https://openalex.org/W3106081651","https://openalex.org/W3127499867","https://openalex.org/W4240139199"],"related_works":["https://openalex.org/W1721599012","https://openalex.org/W2901858382","https://openalex.org/W4384273653","https://openalex.org/W4372063917","https://openalex.org/W2392913753","https://openalex.org/W2177739813","https://openalex.org/W2387767111","https://openalex.org/W2369632919","https://openalex.org/W2048487010","https://openalex.org/W1984081282"],"abstract_inverted_index":{"Finding":[0],"a":[1,7,12,24],"large":[2],"set":[3],"of":[4,38],"optima":[5,39],"in":[6],"multimodal":[8],"optimization":[9],"landscape":[10],"is":[11,40],"challenging":[13],"task.":[14],"Classical":[15],"population-based":[16],"evolutionary":[17],"algorithms":[18],"(EAs)":[19],"typically":[20],"converge":[21],"only":[22],"to":[23],"single":[25],"solution.":[26],"While":[27],"this":[28],"can":[29],"be":[30],"counteracted":[31],"by":[32,44],"applying":[33],"niching":[34],"strategies,":[35],"the":[36,45],"number":[37],"nonetheless":[41],"trivially":[42],"bounded":[43],"population":[46],"size.":[47]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
