{"id":"https://openalex.org/W4400411885","doi":"https://doi.org/10.1145/3638529.3654196","title":"Already Moderate Population Sizes Provably Yield Strong Robustness to Noise","display_name":"Already Moderate Population Sizes Provably Yield Strong Robustness to Noise","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400411885","doi":"https://doi.org/10.1145/3638529.3654196"},"language":"en","primary_location":{"id":"doi:10.1145/3638529.3654196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638529.3654196","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04649104v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082239479","display_name":"Denis Antipov","orcid":"https://orcid.org/0000-0001-7906-096X"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Denis Antipov","raw_affiliation_strings":["Optimisation and Logistics, School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7906-096X","affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102961331","display_name":"Benjamin Doerr","orcid":"https://orcid.org/0000-0002-9786-220X"},"institutions":[{"id":"https://openalex.org/I4210139461","display_name":"Laboratoire d'Informatique de l'\u00c9cole Polytechnique","ror":"https://ror.org/04afed728","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I142476485","https://openalex.org/I4210139461","https://openalex.org/I4210145102","https://openalex.org/I4210159245"]},{"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":["Laboratoire d'Informatique (LIX), \u00c9cole Polytechnique, Palaiseau, France","IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)"],"raw_orcid":"https://orcid.org/0000-0002-9786-220X","affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique (LIX), \u00c9cole Polytechnique, Palaiseau, France","institution_ids":["https://openalex.org/I4210139461"]},{"raw_affiliation_string":"IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027806093","display_name":"Alexandra Ivanova","orcid":"https://orcid.org/0009-0002-6722-7499"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]},{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexandra Ivanova","raw_affiliation_strings":["HSE University, Moscow, Russia","Skoltech, Moscow, Russia"],"raw_orcid":"https://orcid.org/0009-0002-6722-7499","affiliations":[{"raw_affiliation_string":"HSE University, Moscow, Russia","institution_ids":["https://openalex.org/I118501908"]},{"raw_affiliation_string":"Skoltech, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1524","last_page":"1532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.942300021648407,"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/robustness","display_name":"Robustness (evolution)","score":0.7817484140396118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605202853679657}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7817484140396118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605202853679657},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3638529.3654196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638529.3654196","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:HAL:hal-04649104v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04649104v1/file/Antipov_Doerr_Ivanova__Already_Moderate_Populations_Sizes_Yield_Robustness_to_Noise__GECCO__2024.pdf","pdf_url":"https://hal.science/hal-04649104v1/document","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 '24: Genetic and Evolutionary Computation Conference, 2024, Melbourne VIC, Australia. pp.1524-1532, ⟨10.1145/3638529.3654196⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04649104v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04649104v1/file/Antipov_Doerr_Ivanova__Already_Moderate_Populations_Sizes_Yield_Robustness_to_Noise__GECCO__2024.pdf","pdf_url":"https://hal.science/hal-04649104v1/document","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 '24: Genetic and Evolutionary Computation Conference, 2024, Melbourne VIC, Australia. pp.1524-1532, ⟨10.1145/3638529.3654196⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1057128212","display_name":"Evolutionary diversity optimisation","funder_award_id":"DP190103894","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320324478","display_name":"Fondation Math\u00e9matique Jacques Hadamard","ror":"https://ror.org/0153me927"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400411885.pdf","grobid_xml":"https://content.openalex.org/works/W4400411885.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1569002781","https://openalex.org/W1605768620","https://openalex.org/W1843453084","https://openalex.org/W1970101133","https://openalex.org/W1971237725","https://openalex.org/W1981303977","https://openalex.org/W1984555915","https://openalex.org/W2003289346","https://openalex.org/W2011904305","https://openalex.org/W2015766439","https://openalex.org/W2035300004","https://openalex.org/W2050441104","https://openalex.org/W2057398816","https://openalex.org/W2100137329","https://openalex.org/W2109000177","https://openalex.org/W2129679961","https://openalex.org/W2139539173","https://openalex.org/W2159653361","https://openalex.org/W2161238506","https://openalex.org/W2165220807","https://openalex.org/W2167576594","https://openalex.org/W2288341886","https://openalex.org/W2290719151","https://openalex.org/W2527291902","https://openalex.org/W2567212392","https://openalex.org/W2883770650","https://openalex.org/W2886398927","https://openalex.org/W2945042120","https://openalex.org/W2955805227","https://openalex.org/W2955835291","https://openalex.org/W2967587352","https://openalex.org/W3001401812","https://openalex.org/W3002251818","https://openalex.org/W3034476226","https://openalex.org/W3038003360","https://openalex.org/W3186866792","https://openalex.org/W4240139199","https://openalex.org/W4283365871","https://openalex.org/W4300002842","https://openalex.org/W4377111799","https://openalex.org/W4384024760","https://openalex.org/W4384024789","https://openalex.org/W4385437244","https://openalex.org/W4400411885"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Experience":[0],"shows":[1],"that":[2,42,66,125,147],"typical":[3],"evolutionary":[4,31,165],"algorithms":[5,32,44],"can":[6,45,129],"cope":[7],"well":[8],"with":[9],"stochastic":[10],"disturbances":[11],"such":[12],"as":[13,132],"noisy":[14,142],"function":[15],"evaluations.":[16],"In":[17],"this":[18,81,153],"first":[19],"mathematical":[20,161],"runtime":[21,54,102,109,162],"analysis":[22],"of":[23,36,164],"the":[24,34,52,56,72,84,96,107,111,121,126,138,141,148],"(1":[25],"+":[26],"\u03bb)":[27,30],"and":[28,99,140],"(1,":[29],"in":[33,71,80,95,106,159],"presence":[35],"prior":[37],"bit-wise":[38],"noise,":[39],"we":[40],"show":[41],"both":[43],"tolerate":[46],"constant":[47],"noise":[48,88],"probabilities":[49],"without":[50],"increasing":[51],"asymptotic":[53],"on":[55,120],"OneMax":[57,112],"benchmark.":[58,113],"For":[59],"this,":[60],"a":[61,91,101,133],"population":[62,92],"size":[63,74,93],"\u03bb":[64],"suffices":[65],"is":[67],"at":[68],"least":[69],"logarithmic":[70],"problem":[73,97],"n.":[75],"The":[76],"only":[77],"previous":[78],"result":[79],"direction":[82],"regarded":[83],"less":[85],"realistic":[86],"one-bit":[87],"model,":[89],"required":[90],"super-linear":[94],"size,":[98],"proved":[100],"guarantee":[103],"roughly":[104],"cubic":[105],"noiseless":[108,127],"for":[110],"Our":[114],"significantly":[115],"stronger":[116],"results":[117],"are":[118,145],"based":[119],"novel":[122],"proof":[123],"argument":[124],"offspring":[128],"be":[130],"seen":[131],"biased":[134],"uniform":[135],"crossover":[136],"between":[137],"parent":[139],"offspring.":[143],"We":[144],"optimistic":[146],"technical":[149],"lemmas":[150],"resulting":[151],"from":[152],"insight":[154],"will":[155],"find":[156],"applications":[157],"also":[158],"future":[160],"analyses":[163],"algorithms.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2024-07-09T00:00:00"}