{"id":"https://openalex.org/W3193338811","doi":"https://doi.org/10.1145/3450218.3477306","title":"Self-adjusting offspring population sizes outperform fixed parameters on the cliff function","display_name":"Self-adjusting offspring population sizes outperform fixed parameters on the cliff function","publication_year":2021,"publication_date":"2021-08-20","ids":{"openalex":"https://openalex.org/W3193338811","doi":"https://doi.org/10.1145/3450218.3477306","mag":"3193338811"},"language":"en","primary_location":{"id":"doi:10.1145/3450218.3477306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450218.3477306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032231163","display_name":"Mario Alejandro Hevia Fajardo","orcid":null},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mario Alejandro Hevia Fajardo","raw_affiliation_strings":["University of Sheffield, Sheffield, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018789989","display_name":"Dirk Sudholt","orcid":"https://orcid.org/0000-0001-6020-1646"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Sudholt","raw_affiliation_strings":["University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.784,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92566177,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/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":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.6025440096855164},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5317671895027161},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.509501039981842},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4762803912162781},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.46483421325683594},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4537421464920044},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4530175030231476},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4372844099998474},{"id":"https://openalex.org/keywords/cliff","display_name":"Cliff","score":0.43239808082580566},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35278841853141785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33865147829055786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31270134449005127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2383212447166443},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07793158292770386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6025440096855164},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5317671895027161},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.509501039981842},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4762803912162781},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.46483421325683594},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4537421464920044},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4530175030231476},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4372844099998474},{"id":"https://openalex.org/C164139821","wikidata":"https://www.wikidata.org/wiki/Q107679","display_name":"Cliff","level":2,"score":0.43239808082580566},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35278841853141785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33865147829055786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31270134449005127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2383212447166443},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07793158292770386},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3450218.3477306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450218.3477306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/ac97419c-35f3-4fba-8b32-116c8354633f","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/ac97419c-35f3-4fba-8b32-116c8354633f","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":"Fajardo, M A H & Sudholt, D 2021, Self-adjusting offspring population sizes outperform fixed parameters on the cliff function. in FOGA '21 : Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms., 5, FOGA: Foundations of Genetic Algorithms, Association for Computing Machinery (ACM), New York, FOGA '21: Foundations of Genetic Algorithms XVI, 6/09/21. https://doi.org/10.1145/3450218.3477306","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2428941756","display_name":null,"funder_award_id":"739621","funder_id":"https://openalex.org/F4320321739","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda"}],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1971237725","https://openalex.org/W1981303977","https://openalex.org/W2005317641","https://openalex.org/W2035300004","https://openalex.org/W2035490465","https://openalex.org/W2049628352","https://openalex.org/W2102044362","https://openalex.org/W2146239736","https://openalex.org/W2156622046","https://openalex.org/W2159088557","https://openalex.org/W2159653361","https://openalex.org/W2191941709","https://openalex.org/W2521372821","https://openalex.org/W2742595244","https://openalex.org/W2887325363","https://openalex.org/W2888912300","https://openalex.org/W2900641433","https://openalex.org/W2904037980","https://openalex.org/W2964072919","https://openalex.org/W2964094169","https://openalex.org/W2964348335","https://openalex.org/W2997403474","https://openalex.org/W3014797295","https://openalex.org/W3016125163","https://openalex.org/W3034476226","https://openalex.org/W3036638230","https://openalex.org/W3101206656","https://openalex.org/W3121354401","https://openalex.org/W3127900374","https://openalex.org/W3174100507"],"related_works":["https://openalex.org/W4296179769","https://openalex.org/W4233990179","https://openalex.org/W2513124405","https://openalex.org/W1571156853","https://openalex.org/W4230224204","https://openalex.org/W2505532926","https://openalex.org/W2150968680","https://openalex.org/W1909862446","https://openalex.org/W2261913916","https://openalex.org/W4244234990"],"abstract_inverted_index":{"In":[0],"the":[1,27,57,75],"discrete":[2],"domain,":[3],"self-adjusting":[4,23],"parameters":[5,24],"of":[6],"evolutionary":[7],"algorithms":[8],"(EAs)":[9],"has":[10],"emerged":[11],"as":[12,62],"a":[13,52,66],"fruitful":[14],"research":[15],"area":[16],"with":[17],"many":[18],"runtime":[19,33,79],"analyses":[20,34],"showing":[21],"that":[22],"can":[25],"out-perform":[26],"best":[28,76],"fixed":[29],"parameters.":[30],"Most":[31],"existing":[32],"focus":[35],"on":[36,39],"elitist":[37],"EAs":[38,83],"simple":[40],"problems,":[41],"for":[42,73,81],"which":[43,74],"moderate":[44],"performance":[45],"gains":[46],"were":[47],"shown.":[48],"Here":[49],"we":[50],"consider":[51],"much":[53],"more":[54],"challenging":[55],"scenario:":[56],"multimodal":[58],"function":[59],"Cliff,":[60],"defined":[61],"an":[63],"example":[64],"where":[65],"(1,":[67],"\u03bb)":[68],"EA":[69],"is":[70,84],"effective,":[71],"and":[72],"known":[77],"upper":[78],"bound":[80],"standard":[82],"O(n25).":[85]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}