{"id":"https://openalex.org/W2959731414","doi":"https://doi.org/10.1145/3319619.3321904","title":"MAP-Elites for noisy domains by adaptive sampling","display_name":"MAP-Elites for noisy domains by adaptive sampling","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2959731414","doi":"https://doi.org/10.1145/3319619.3321904","mag":"2959731414"},"language":"en","primary_location":{"id":"doi:10.1145/3319619.3321904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321904","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.itu.dk/portal/da/publications/6a50a489-18e3-4519-923f-4bb795b4478f","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043102938","display_name":"Niels Justesen","orcid":"https://orcid.org/0000-0001-5381-5498"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Niels Justesen","raw_affiliation_strings":["IT University of Copenhagen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen","institution_ids":["https://openalex.org/I83467386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020511097","display_name":"Sebastian Risi","orcid":"https://orcid.org/0000-0003-3607-8400"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Sebastian Risi","raw_affiliation_strings":["IT University of Copenhagen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen","institution_ids":["https://openalex.org/I83467386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032227198","display_name":"Jean-Baptiste Mouret","orcid":"https://orcid.org/0000-0002-2513-027X"},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Baptiste Mouret","raw_affiliation_strings":["Inria, CNRS, Universit\u00e9 de Lorraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, CNRS, Universit\u00e9 de Lorraine","institution_ids":["https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9861999750137329,"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":0.9861999750137329,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9702000021934509,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.968999981880188,"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/computer-science","display_name":"Computer science","score":0.6113762855529785},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.49325865507125854},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.45976442098617554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44193971157073975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2611459791660309},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2021237015724182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1943279504776001},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.0722818672657013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6113762855529785},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.49325865507125854},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.45976442098617554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44193971157073975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2611459791660309},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2021237015724182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1943279504776001},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0722818672657013},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3319619.3321904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321904","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/6a50a489-18e3-4519-923f-4bb795b4478f","is_oa":true,"landing_page_url":"https://pure.itu.dk/portal/da/publications/6a50a489-18e3-4519-923f-4bb795b4478f","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Justesen, N, Risi, S & Mouret, J-B 2019, MAP-Elites for noisy domains by adaptive sampling. in Proceedings of the Genetic and Evolutionary Computation Conference Companion : GECCO '19. Association for Computing Machinery, pp. 121-122. https://doi.org/10.1145/3319619.3321904","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/6a50a489-18e3-4519-923f-4bb795b4478f","is_oa":true,"landing_page_url":"https://pure.itu.dk/portal/da/publications/6a50a489-18e3-4519-923f-4bb795b4478f","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Justesen, N, Risi, S & Mouret, J-B 2019, MAP-Elites for noisy domains by adaptive sampling. in Proceedings of the Genetic and Evolutionary Computation Conference Companion : GECCO '19. Association for Computing Machinery, pp. 121-122. https://doi.org/10.1145/3319619.3321904","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2078848072","https://openalex.org/W2099746672","https://openalex.org/W2154411958","https://openalex.org/W2739858255"],"related_works":["https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1582396021","https://openalex.org/W1988359706","https://openalex.org/W312558119","https://openalex.org/W4210985407","https://openalex.org/W2335441444","https://openalex.org/W138014004","https://openalex.org/W2075598034","https://openalex.org/W2984441180"],"abstract_inverted_index":{"Quality":[0],"Diversity":[1],"algorithms":[2,19],"(QD)":[3],"evolve":[4],"a":[5,81,91],"set":[6],"of":[7,39,43,78],"high-performing":[8],"phenotypes":[9],"that":[10,72],"each":[11],"behaves":[12],"as":[13,15],"differently":[14],"possible.":[16],"However,":[17],"current":[18],"are":[20,51],"all":[21],"elitist,":[22],"which":[23],"make":[24],"them":[25],"unable":[26],"to":[27,59],"cope":[28],"with":[29],"stochastic":[30],"fitness":[31],"functions":[32],"and":[33,49,66,69,86],"behavior":[34],"evaluations.":[35],"In":[36],"fact,":[37],"many":[38],"the":[40,60,76,87],"promising":[41],"applications":[42],"QD":[44],"algorithms,":[45],"for":[46],"instance,":[47],"games":[48],"robotics,":[50],"stochastic.":[52],"Here":[53],"we":[54],"propose":[55],"two":[56],"new":[57],"extensions":[58,74],"QD-algorithm":[61],"MAP-Elites":[62],"---":[63,68],"adaptive":[64],"sampling":[65],"drifting-elites":[67],"demonstrate":[70],"empirically":[71],"these":[73],"increase":[75],"quality":[77],"solutions":[79],"in":[80,90],"noisy":[82],"artificial":[83],"test":[84],"function":[85],"behavioral":[88],"diversity":[89],"2D":[92],"bipedal":[93],"walker":[94],"environment.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
