{"id":"https://openalex.org/W2887325363","doi":"https://doi.org/10.1145/3205455.3205611","title":"On the runtime analysis of selection hyper-heuristics with adaptive learning periods","display_name":"On the runtime analysis of selection hyper-heuristics with adaptive learning periods","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2887325363","doi":"https://doi.org/10.1145/3205455.3205611","mag":"2887325363"},"language":"en","primary_location":{"id":"doi:10.1145/3205455.3205611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205611","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205611","any_repository_has_fulltext":false},"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/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), Palaiseau, France","IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique (LIX), 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":"middle","author":{"id":"https://openalex.org/A5060822830","display_name":"Andrei Lissovoi","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":"Andrei Lissovoi","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063001475","display_name":"Pietro S. Oliveto","orcid":"https://orcid.org/0000-0001-8164-6767"},"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":"Pietro S. Oliveto","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom","University of Sheffield [Sheffield] (Western Bank Sheffield S10 2TN - United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"University of Sheffield [Sheffield] (Western Bank Sheffield S10 2TN - United Kingdom)","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035806216","display_name":"John Alasdair Warwicker","orcid":"https://orcid.org/0000-0002-6274-2638"},"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":"John Alasdair Warwicker","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1015","last_page":"1022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9962999820709229,"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/heuristics","display_name":"Heuristics","score":0.8380157947540283},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7415897846221924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7313547134399414},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.7273706793785095},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7074650526046753},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.525679886341095},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5055372714996338},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48187097907066345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.442763090133667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3871466815471649},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1687641143798828}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8380157947540283},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7415897846221924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7313547134399414},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.7273706793785095},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7074650526046753},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.525679886341095},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5055372714996338},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48187097907066345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.442763090133667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3871466815471649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1687641143798828},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3205455.3205611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205611","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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-04484626v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04484626","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO '18: Genetic and Evolutionary Computation Conference, 2018, Kyoto Japan, France. pp.1015-1022, ⟨10.1145/3205455.3205611⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:eprints.lancs.ac.uk:237831","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/237831/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"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":"Contribution in Book/Report/Proceedings"},{"id":"pmh:oai:eprints.whiterose.ac.uk:133965","is_oa":false,"landing_page_url":"http://eprints.whiterose.ac.uk/133965/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":{"id":"doi:10.1145/3205455.3205611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205611","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"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/G2301470135","display_name":null,"funder_award_id":"ANR-11-LABX-0056-LMH","funder_id":"https://openalex.org/F4320324478","funder_display_name":"Fondation Math\u00e9matique Jacques Hadamard"},{"id":"https://openalex.org/G2972198855","display_name":"Rigorous Runtime Analysis of Bio-Inspired Computing","funder_award_id":"EP/M004252/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"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/G8501742012","display_name":null,"funder_award_id":"EP/M004252/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320324478","display_name":"Fondation Math\u00e9matique Jacques Hadamard","ror":"https://ror.org/0153me927"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2887325363.pdf","grobid_xml":"https://content.openalex.org/works/W2887325363.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1576660662","https://openalex.org/W1814515812","https://openalex.org/W1849813686","https://openalex.org/W1971237725","https://openalex.org/W1983829510","https://openalex.org/W1985910644","https://openalex.org/W2026566141","https://openalex.org/W2027964569","https://openalex.org/W2056433610","https://openalex.org/W2081488245","https://openalex.org/W2103012681","https://openalex.org/W2151554678","https://openalex.org/W2156767653","https://openalex.org/W2159653361","https://openalex.org/W2347027478","https://openalex.org/W2499688774","https://openalex.org/W2517218238","https://openalex.org/W2518633304","https://openalex.org/W2606677068","https://openalex.org/W2725019750","https://openalex.org/W2742595244","https://openalex.org/W2785040163","https://openalex.org/W2962773240","https://openalex.org/W4233413206","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W2067280619","https://openalex.org/W2041180560","https://openalex.org/W2586529194","https://openalex.org/W1628567638"],"abstract_inverted_index":{"Selection":[0],"hyper-heuristics":[1],"are":[2],"randomised":[3],"optimisation":[4,25],"techniques":[5],"that":[6,32,141,180],"select":[7],"from":[8],"a":[9,33,119,156],"set":[10,79],"of":[11,23,50,72,161,174],"low-level":[12,52],"heuristics":[13],"which":[14],"one":[15],"should":[16,77],"be":[17,78],"applied":[18],"in":[19,42,83,135,147],"the":[20,24,38,43,63,70,73,84,96,104,109,116,130,142,162,172,181,188],"next":[21],"step":[22],"process.":[26],"Recently":[27],"it":[28,101],"has":[29],"been":[30],"proven":[31],"Random":[34],"Gradient":[35],"hyper-heuristic":[36,97,144,182,189],"optimises":[37],"LeadingOnes":[39,146],"benchmark":[40],"function":[41],"best":[44],"runtime":[45,149],"achievable":[46],"with":[47,118,183,190],"any":[48],"combination":[49],"its":[51],"heuristics,":[53],"up":[54],"to":[55,68,102],"lower":[56],"order":[57],"terms.":[58],"To":[59,111],"achieve":[60,112],"this":[61,92,113],"runtime,":[62],"learning":[64,105,185,192],"period":[65,106,186],"\u03c4,":[66],"used":[67,134],"evaluate":[69],"performance":[71],"currently":[74],"chosen":[75],"heuristic,":[76],"appropriately,":[80],"i.e.,":[81],"super-linear":[82],"problem":[85,169],"size":[86],"but":[87],"not":[88],"excessively":[89],"larger.":[90],"In":[91],"paper":[93],"we":[94,114],"automate":[95],"further":[98],"by":[99,129,150],"allowing":[100],"self-adjust":[103],"\u03c4":[107,153,175],"during":[108],"run.":[110],"equip":[115],"algorithm":[117],"simple":[120],"self-adjusting":[121],"mechanism,":[122],"called":[123],"1":[124,157],"-":[125,158],"o(1)":[126,159],"rule,":[127],"inspired":[128],"1/5":[131],"rule":[132],"traditionally":[133],"continuous":[136],"optimisation.":[137],"We":[138],"rigorously":[139],"prove":[140],"resulting":[143],"solves":[145],"optimal":[148],"automatically":[151],"adapting":[152,176],"and":[154,179],"achieving":[155],"ratio":[160],"desired":[163,178],"behaviour.":[164],"Complementary":[165],"experiments":[166],"for":[167],"realistic":[168],"sizes":[170],"show":[171],"value":[173],"as":[177],"adaptive":[184],"outperforms":[187],"fixed":[191],"periods.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}