{"id":"https://openalex.org/W3156953269","doi":"https://doi.org/10.1145/3449639.3459321","title":"Monte Carlo elites","display_name":"Monte Carlo elites","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3156953269","doi":"https://doi.org/10.1145/3449639.3459321","mag":"3156953269"},"language":"en","primary_location":{"id":"doi:10.1145/3449639.3459321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449639.3459321","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/2104.08781","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034698942","display_name":"Konstantinos Sfikas","orcid":"https://orcid.org/0000-0002-4363-4922"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Konstantinos Sfikas","raw_affiliation_strings":["University of Malta, Msida, Malta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malta, Msida, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012075090","display_name":"Antonios Liapis","orcid":"https://orcid.org/0000-0001-5554-1961"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Antonios Liapis","raw_affiliation_strings":["University of Malta, Msida, Malta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malta, Msida, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072029181","display_name":"Georgios N. Yannakakis","orcid":"https://orcid.org/0000-0001-7793-1450"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Georgios N. Yannakakis","raw_affiliation_strings":["University of Malta, Msida, Malta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malta, Msida, Malta","institution_ids":["https://openalex.org/I197854408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197854408"],"apc_list":null,"apc_paid":null,"fwci":1.319,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8315657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9987999796867371,"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/diversity","display_name":"Diversity (politics)","score":0.724989116191864},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6778587698936462},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6499130725860596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186245083808899},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.604749321937561},{"id":"https://openalex.org/keywords/balance","display_name":"Balance (ability)","score":0.5246158838272095},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5102212429046631},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5001370906829834},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.49999356269836426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41778475046157837},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4039181172847748},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38313519954681396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23219400644302368},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.13282126188278198},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12241825461387634},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09498745203018188},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.08948215842247009},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.08572542667388916}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.724989116191864},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6778587698936462},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6499130725860596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186245083808899},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.604749321937561},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.5246158838272095},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5102212429046631},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5001370906829834},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.49999356269836426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41778475046157837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4039181172847748},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38313519954681396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23219400644302368},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.13282126188278198},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12241825461387634},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09498745203018188},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.08948215842247009},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.08572542667388916},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3449639.3459321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449639.3459321","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:2104.08781","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.08781","pdf_url":"https://arxiv.org/pdf/2104.08781","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.08781","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.08781","pdf_url":"https://arxiv.org/pdf/2104.08781","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W758372786","https://openalex.org/W1499983649","https://openalex.org/W1545918039","https://openalex.org/W1592317557","https://openalex.org/W1625390266","https://openalex.org/W1905743806","https://openalex.org/W2012757283","https://openalex.org/W2099746672","https://openalex.org/W2101456123","https://openalex.org/W2111935653","https://openalex.org/W2126316555","https://openalex.org/W2150333870","https://openalex.org/W2151083897","https://openalex.org/W2291356055","https://openalex.org/W2301459920","https://openalex.org/W2462548332","https://openalex.org/W2623265929","https://openalex.org/W2739858255","https://openalex.org/W2808325099","https://openalex.org/W2947246097","https://openalex.org/W2955385686","https://openalex.org/W2959731414","https://openalex.org/W2960352216","https://openalex.org/W2962390269","https://openalex.org/W2962687375","https://openalex.org/W2962878123","https://openalex.org/W2994369270","https://openalex.org/W3018036994","https://openalex.org/W3042891072","https://openalex.org/W3098960920","https://openalex.org/W3102434332","https://openalex.org/W3129322645","https://openalex.org/W4245306884","https://openalex.org/W4246724958","https://openalex.org/W4285719527","https://openalex.org/W4365799855"],"related_works":["https://openalex.org/W3158538495","https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2386367800","https://openalex.org/W2045815042","https://openalex.org/W4236583520","https://openalex.org/W2322261865","https://openalex.org/W2353574976","https://openalex.org/W2134699697"],"abstract_inverted_index":{"A":[0],"core":[1],"challenge":[2],"of":[3,13,19,50,59,72,80,97,105,127],"evolutionary":[4],"search":[5,15,24,43,74],"is":[6],"the":[7,14,48,60,73,78,102,121],"need":[8],"to":[9,63,120],"balance":[10,114],"between":[11,30,115],"exploration":[12,116],"space":[16,75],"and":[17,34,117,124],"exploitation":[18,118],"highly":[20],"fit":[21],"regions.":[22],"Quality-diversity":[23],"has":[25],"explicitly":[26],"walked":[27],"this":[28],"tightrope":[29],"a":[31,40,53,106,113],"population's":[32],"diversity":[33],"its":[35,87],"quality.":[36,90],"This":[37],"paper":[38,92],"extends":[39],"popular":[41],"quality-diversity":[42],"algorithm,":[44],"MAP-Elites,":[45],"by":[46],"treating":[47],"selection":[49],"parents":[51,65],"as":[52,83,85],"multi-armed":[54],"bandit":[55],"problem.":[56],"Using":[57],"variations":[58],"upper-confidence":[61],"bound":[62],"select":[64],"from":[66],"under-explored":[67],"but":[68],"potentially":[69],"rewarding":[70],"areas":[71],"can":[76],"accelerate":[77],"discovery":[79],"new":[81],"regions":[82],"well":[84],"improve":[86],"archive's":[88],"total":[89],"The":[91],"tests":[93],"an":[94],"indirect":[95],"measure":[96],"quality":[98],"for":[99],"parent":[100],"selection:":[101],"survival":[103],"rate":[104],"parent's":[107],"offspring.":[108],"Results":[109],"show":[110],"that":[111],"maintaining":[112],"leads":[119],"most":[122],"diverse":[123],"high-quality":[125],"set":[126],"solutions":[128],"in":[129],"three":[130],"different":[131],"testbeds.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2021-04-26T00:00:00"}
