{"id":"https://openalex.org/W2094966176","doi":"https://doi.org/10.1109/cec.2010.5586557","title":"Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms","display_name":"Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2094966176","doi":"https://doi.org/10.1109/cec.2010.5586557","mag":"2094966176"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2010.5586557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2010.5586557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://oa.upm.es/74152/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069990831","display_name":"Alfredo Cuesta\u2010Infante","orcid":"https://orcid.org/0000-0002-3328-501X"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alfredo Cuesta-Infante","raw_affiliation_strings":["Felipe II College, Universidad Complutense de Madrid, Aranjuez, Spain","Felipe II College, Universidad Complutense de Madrid, Capitan 39, Aranjuez, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Felipe II College, Universidad Complutense de Madrid, Aranjuez, Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Felipe II College, Universidad Complutense de Madrid, Capitan 39, Aranjuez, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034080501","display_name":"Roberto Santana","orcid":"https://orcid.org/0000-0002-1005-8535"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Santana","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","Universidad Polit\u00e9cnica de Madrid, Campus Montegancedo, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Campus Montegancedo, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085569944","display_name":"J. Ignacio Hidalgo","orcid":"https://orcid.org/0000-0002-3046-6368"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Ignacio Hidalgo","raw_affiliation_strings":["Department of Computer Structure and Arquitecture (DACYA), Universidad Complutense de Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Structure and Arquitecture (DACYA), Universidad Complutense de Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010920098","display_name":"Concha Bielza","orcid":"https://orcid.org/0000-0001-7109-2668"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Concha Bielza","raw_affiliation_strings":["School of Computer Science, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","School of Computer Science of the Universidad Polit\u00e9cnica de Madrid, Campus Montegancedo, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"School of Computer Science of the Universidad Polit\u00e9cnica de Madrid, Campus Montegancedo, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049812833","display_name":"Pedro Larra\u00f1aga","orcid":"https://orcid.org/0000-0003-0652-9872"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Larranaga","raw_affiliation_strings":["School of Computer Science, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","School of Computer Science of the Universidad Polit\u00e9cnica de Madrid, Campus Montegancedo, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"School of Computer Science of the Universidad Polit\u00e9cnica de Madrid, Campus Montegancedo, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9649999737739563,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9537000060081482,"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/edas","display_name":"EDAS","score":0.9767516851425171},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.7285163402557373},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6934411525726318},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.6461000442504883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5774720907211304},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45983168482780457},{"id":"https://openalex.org/keywords/random-variate","display_name":"Random variate","score":0.42128443717956543},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41643205285072327},{"id":"https://openalex.org/keywords/empirical-distribution-function","display_name":"Empirical distribution function","score":0.4131399989128113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3663501739501953},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.36452966928482056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3591095209121704},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2623879313468933},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.23341134190559387}],"concepts":[{"id":"https://openalex.org/C49284225","wikidata":"https://www.wikidata.org/wiki/Q5322829","display_name":"EDAS","level":3,"score":0.9767516851425171},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.7285163402557373},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6934411525726318},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.6461000442504883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5774720907211304},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45983168482780457},{"id":"https://openalex.org/C141547133","wikidata":"https://www.wikidata.org/wiki/Q7291996","display_name":"Random variate","level":3,"score":0.42128443717956543},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41643205285072327},{"id":"https://openalex.org/C98385598","wikidata":"https://www.wikidata.org/wiki/Q1339385","display_name":"Empirical distribution function","level":2,"score":0.4131399989128113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3663501739501953},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.36452966928482056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3591095209121704},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2623879313468933},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.23341134190559387}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2010.5586557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2010.5586557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:oa.upm.es:74152","is_oa":true,"landing_page_url":"https://oa.upm.es/74152/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402421","display_name":"Archivo Digital UPM (Universidad Polit\u00e9cnica de Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Congress on Evolutionary Computation, (CEC 2010) | IEEE Congress on Evolutionary Computation | 18-23 Jul 2010 | Barcelona, Espa\u00f1a","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:oa.upm.es:74152","is_oa":true,"landing_page_url":"https://oa.upm.es/74152/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402421","display_name":"Archivo Digital UPM (Universidad Polit\u00e9cnica de Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Congress on Evolutionary Computation, (CEC 2010) | IEEE Congress on Evolutionary Computation | 18-23 Jul 2010 | Barcelona, Espa\u00f1a","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1570419702","https://openalex.org/W1692958259","https://openalex.org/W1722282631","https://openalex.org/W1827554748","https://openalex.org/W1877776377","https://openalex.org/W1975717799","https://openalex.org/W1985409483","https://openalex.org/W2019011597","https://openalex.org/W2027964569","https://openalex.org/W2089480473","https://openalex.org/W2106538771","https://openalex.org/W2112703359","https://openalex.org/W2119436275","https://openalex.org/W2123484603","https://openalex.org/W2127038280","https://openalex.org/W2128151276","https://openalex.org/W2132975661","https://openalex.org/W2145407785","https://openalex.org/W2162585472","https://openalex.org/W2171263583","https://openalex.org/W2186505861","https://openalex.org/W2414365832","https://openalex.org/W2497309206","https://openalex.org/W2907233437","https://openalex.org/W2952524952","https://openalex.org/W3154803405","https://openalex.org/W4240146822","https://openalex.org/W4285719527","https://openalex.org/W6672547232","https://openalex.org/W6685120113","https://openalex.org/W6687059323","https://openalex.org/W6757598146"],"related_works":["https://openalex.org/W1982259447","https://openalex.org/W2496664933","https://openalex.org/W1503012231","https://openalex.org/W1058439126","https://openalex.org/W2360241151","https://openalex.org/W2547072840","https://openalex.org/W1522658100","https://openalex.org/W2124261928","https://openalex.org/W2042792109","https://openalex.org/W23362591"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,33,56,84,99],"use":[4],"of":[5,13,16,35,47,72,78,98],"empirical":[6,26,48],"and":[7,24,75],"Archimedean":[8,44],"copulas":[9,28,45,54],"as":[10],"probabilistic":[11],"models":[12],"continuous":[14,67],"estimation":[15],"distribution":[17],"algorithms":[18],"(EDAs).":[19],"A":[20],"method":[21],"for":[22],"learning":[23],"sampling":[25],"bivariate":[27],"to":[29,51,64],"be":[30],"used":[31],"in":[32,95],"context":[34],"n-dimensional":[36,53],"EDAs":[37,61,68,87],"is":[38],"first":[39],"introduced.":[40],"Then,":[41],"by":[42],"using":[43],"instead":[46],"makes":[49],"possible":[50],"construct":[52],"with":[55],"same":[57],"purpose.":[58],"Both":[59],"copula-based":[60,86],"are":[62],"compared":[63],"other":[65],"known":[66],"on":[69],"a":[70,89,96],"set":[71],"24":[73],"functions":[74],"different":[76],"number":[77],"variables.":[79],"Experimental":[80],"results":[81],"show":[82],"that":[83],"proposed":[85],"achieve":[88],"better":[90],"behaviour":[91],"than":[92],"previous":[93],"approaches":[94],"20%":[97],"benchmark":[100],"functions.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
