{"id":"https://openalex.org/W2940274084","doi":"https://doi.org/10.1145/3299904.3340304","title":"An exponential lower bound for the runtime of the compact genetic algorithm on jump functions","display_name":"An exponential lower bound for the runtime of the compact genetic algorithm on jump functions","publication_year":2019,"publication_date":"2019-08-19","ids":{"openalex":"https://openalex.org/W2940274084","doi":"https://doi.org/10.1145/3299904.3340304","mag":"2940274084"},"language":"en","primary_location":{"id":"doi:10.1145/3299904.3340304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299904.3340304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms","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/1904.08415","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Benjamin Doerr","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Benjamin Doerr","raw_affiliation_strings":["CNRS, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, France","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.8521000146865845},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.7494000196456909},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.7343999743461609},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5187000036239624},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5019999742507935},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4837000072002411},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4657999873161316}],"concepts":[{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.8521000146865845},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.7494000196456909},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.7343999743461609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6686000227928162},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5019999742507935},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4837000072002411},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.47189998626708984},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4657999873161316},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C2776825372","wikidata":"https://www.wikidata.org/wiki/Q3922411","display_name":"Jump process","level":3,"score":0.37549999356269836},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3345000147819519},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30239999294281006},{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.29089999198913574},{"id":"https://openalex.org/C49016629","wikidata":"https://www.wikidata.org/wiki/Q3075235","display_name":"Double exponential function","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C52079815","wikidata":"https://www.wikidata.org/wiki/Q7229808","display_name":"Population model","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3299904.3340304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299904.3340304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.08415","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.08415","pdf_url":"https://arxiv.org/pdf/1904.08415","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:HAL:hal-04484767v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04484767","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":"FOGA '19: Foundations of Genetic Algorithms XV, 2019, Potsdam Germany, France. pp.25-33, ⟨10.1145/3299904.3340304⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.08415","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.08415","pdf_url":"https://arxiv.org/pdf/1904.08415","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[{"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"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W372717656","https://openalex.org/W1605768620","https://openalex.org/W1970025632","https://openalex.org/W1970101133","https://openalex.org/W1976376425","https://openalex.org/W1981482533","https://openalex.org/W1990799344","https://openalex.org/W2061751517","https://openalex.org/W2084149434","https://openalex.org/W2102044362","https://openalex.org/W2148379945","https://openalex.org/W2165220807","https://openalex.org/W2464386141","https://openalex.org/W2487146608","https://openalex.org/W2492282619","https://openalex.org/W2520275545","https://openalex.org/W2527291902","https://openalex.org/W2604934189","https://openalex.org/W2605136245","https://openalex.org/W2724311120","https://openalex.org/W2725382342","https://openalex.org/W2727744916","https://openalex.org/W2745272116","https://openalex.org/W2783263582","https://openalex.org/W2804953719","https://openalex.org/W2875338278","https://openalex.org/W2885751302","https://openalex.org/W2885992409","https://openalex.org/W2887735318","https://openalex.org/W2904757015","https://openalex.org/W2941999899","https://openalex.org/W4288282776"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2378103478","https://openalex.org/W2371447506","https://openalex.org/W2386767533","https://openalex.org/W2057623054","https://openalex.org/W1905886041","https://openalex.org/W2464386141","https://openalex.org/W2387271259","https://openalex.org/W2115794623","https://openalex.org/W3022945645"],"abstract_inverted_index":{"In":[0],"the":[1,11,23,26,45,48,56,64,68,89],"first":[2],"runtime":[3,24,75],"analysis":[4],"of":[5,25],"an":[6],"estimation-of-distribution":[7],"algorithm":[8,29],"(EDA)":[9],"on":[10,34],"multimodal":[12],"jump":[13,35,49,65,69,90],"function":[14],"class,":[15],"Hasen\u00f6hrl":[16],"and":[17,58],"Sutton":[18],"(GECCO":[19],"2018)":[20],"proved":[21],"that":[22,84],"compact":[27],"genetic":[28],"with":[30,37,79],"suitable":[31],"parameter":[32],"choice":[33],"functions":[36],"high":[38],"probability":[39],"is":[40,51,59,71,85],"at":[41,52,60],"most":[42,53,61],"polynomial":[43],"(in":[44,55],"dimension)":[46],"if":[47,67],"size":[50,66,70,83],"logarithmic":[54],"dimension),":[57],"exponential":[62,74,87],"in":[63,88],"super-logarithmic.":[72],"The":[73],"guarantee":[76],"was":[77],"achieved":[78],"a":[80,98],"hypothetical":[81],"population":[82],"also":[86],"size.":[91],"Consequently,":[92],"this":[93],"setting":[94],"cannot":[95],"lead":[96],"to":[97],"better":[99],"runtime.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-04-25T00:00:00"}