{"id":"https://openalex.org/W2724311120","doi":"https://doi.org/10.1145/3071178.3071317","title":"Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentration","display_name":"Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentration","publication_year":2017,"publication_date":"2017-06-30","ids":{"openalex":"https://openalex.org/W2724311120","doi":"https://doi.org/10.1145/3071178.3071317","mag":"2724311120"},"language":"en","primary_location":{"id":"doi:10.1145/3071178.3071317","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3071178.3071317","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1802.00721","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026427521","display_name":"Per Kristian Lehre","orcid":"https://orcid.org/0000-0002-9521-1251"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Per Kristian Lehre","raw_affiliation_strings":["University of Birmingham, Birmingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Birmingham, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012413932","display_name":"Phan Trung Hai Nguyen","orcid":"https://orcid.org/0000-0003-0783-2224"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Phan Trung Hai Nguyen","raw_affiliation_strings":["University of Birmingham, Birmingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Birmingham, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":3.7478,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9545416,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1383","last_page":"1390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9937999844551086,"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/edas","display_name":"EDAS","score":0.8603129386901855},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.7199183106422424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6205353736877441},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5581045150756836},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5352462530136108},{"id":"https://openalex.org/keywords/lambda","display_name":"Lambda","score":0.4433499872684479},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4241464138031006},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.38620129227638245},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33141952753067017},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.29242950677871704}],"concepts":[{"id":"https://openalex.org/C49284225","wikidata":"https://www.wikidata.org/wiki/Q5322829","display_name":"EDAS","level":3,"score":0.8603129386901855},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.7199183106422424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6205353736877441},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5581045150756836},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5352462530136108},{"id":"https://openalex.org/C2778113609","wikidata":"https://www.wikidata.org/wiki/Q10897","display_name":"Lambda","level":2,"score":0.4433499872684479},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4241464138031006},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.38620129227638245},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33141952753067017},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29242950677871704},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3071178.3071317","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3071178.3071317","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1802.00721","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.00721","pdf_url":"https://arxiv.org/pdf/1802.00721","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:Publications/3c724198-5654-4804-9da4-9e133a0a37db","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/3c724198-5654-4804-9da4-9e133a0a37db","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/3c724198-5654-4804-9da4-9e133a0a37db","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"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":"Lehre, P K & Nguyen, P T H 2017, Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentration. in GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery , pp. 1383-1390, GECCO 2017:, Berlin, Germany, 15/07/17. https://doi.org/10.1145/3071178.3071317","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1802.00721","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.00721","pdf_url":"https://arxiv.org/pdf/1802.00721","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1570731788","https://openalex.org/W1692958259","https://openalex.org/W1990799344","https://openalex.org/W1999340906","https://openalex.org/W2003289346","https://openalex.org/W2035885798","https://openalex.org/W2050215344","https://openalex.org/W2053360669","https://openalex.org/W2059245204","https://openalex.org/W2110667749","https://openalex.org/W2116902835","https://openalex.org/W2121707217","https://openalex.org/W2148379945","https://openalex.org/W2170674160","https://openalex.org/W2499149626","https://openalex.org/W2561675875","https://openalex.org/W2605136245","https://openalex.org/W2727744916","https://openalex.org/W2752885492","https://openalex.org/W2897929222","https://openalex.org/W3102042098"],"related_works":["https://openalex.org/W1982259447","https://openalex.org/W2496664933","https://openalex.org/W1503012231","https://openalex.org/W1058439126","https://openalex.org/W2360241151","https://openalex.org/W2547072840","https://openalex.org/W1522658100","https://openalex.org/W2124261928","https://openalex.org/W2047098179","https://openalex.org/W2053360669"],"abstract_inverted_index":{"Unlike":[0],"traditional":[1],"evolutionary":[2],"algorithms":[3],"which":[4,20],"produce":[5],"offspring":[6],"via":[7],"genetic":[8],"operators,":[9],"Estimation":[10],"of":[11],"Distribution":[12],"Algorithms":[13],"(EDAs)":[14],"sample":[15],"solutions":[16],"from":[17,23],"probabilistic":[18],"models":[19],"are":[21],"learned":[22],"selected":[24],"individuals.":[25],"It":[26],"is":[27],"hoped":[28],"that":[29],"ED":[30],"As":[31],"may":[32],"improve":[33],"optimisation":[34],"performance":[35],"on":[36],"epistatic":[37],"fitness":[38],"landscapes":[39],"by":[40],"learning":[41],"variable":[42],"interactions.":[43]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":2}],"updated_date":"2026-08-31T07:19:18.363097","created_date":"2017-07-14T00:00:00"}