{"id":"https://openalex.org/W1538725765","doi":"https://doi.org/10.1109/cec.2005.1554853","title":"Adaptive Population Size for Univariate Marginal Distribution Algorithm","display_name":"Adaptive Population Size for Univariate Marginal Distribution Algorithm","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W1538725765","doi":"https://doi.org/10.1109/cec.2005.1554853","mag":"1538725765"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","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/A5101931365","display_name":"Yi Hong","orcid":"https://orcid.org/0000-0002-9065-3691"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Hong","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100893474","display_name":"Qingsheng Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingsheng Ren","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100507719","display_name":"Jin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zeng","raw_affiliation_strings":["Department of Mathematics, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.2323,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78777231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1396","last_page":"1402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9865999817848206,"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":0.9865999817848206,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.7624250650405884},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6602166891098022},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6275417804718018},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6048357486724854},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.562458872795105},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5015742778778076},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4914051294326782},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4551435112953186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44444704055786133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43955564498901367},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3420425057411194}],"concepts":[{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.7624250650405884},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6602166891098022},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6275417804718018},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6048357486724854},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.562458872795105},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5015742778778076},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4914051294326782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4551435112953186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44444704055786133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43955564498901367},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3420425057411194},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2005.1554853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1494306075","https://openalex.org/W1512136126","https://openalex.org/W1554487381","https://openalex.org/W1560047216","https://openalex.org/W1574062351","https://openalex.org/W1868229477","https://openalex.org/W2028569720","https://openalex.org/W2068687506","https://openalex.org/W2106960948","https://openalex.org/W2139015486","https://openalex.org/W2168427112","https://openalex.org/W2278052651","https://openalex.org/W2468462628","https://openalex.org/W2904250082","https://openalex.org/W4387688680","https://openalex.org/W6634355359","https://openalex.org/W6694866340","https://openalex.org/W6719982585"],"related_works":["https://openalex.org/W2375311683","https://openalex.org/W2366062860","https://openalex.org/W2373777250","https://openalex.org/W2353956655","https://openalex.org/W2020653254","https://openalex.org/W2010454064","https://openalex.org/W2352072014","https://openalex.org/W217279133","https://openalex.org/W2393487946","https://openalex.org/W2373310108"],"abstract_inverted_index":{"Population":[0],"size":[1],"is":[2,58],"an":[3,59],"important":[4],"parameter":[5],"in":[6,84,88],"univariate":[7],"marginal":[8],"distribution":[9,31,36],"algorithm":[10],"(UMDA).":[11],"Too":[12],"large":[13],"or":[14],"too":[15],"small":[16],"value":[17],"both":[18,96],"goes":[19],"against":[20],"its":[21,70],"search.":[22],"A":[23],"good":[24,51,102],"population":[25,45,77],"sizing":[26,46,78],"method":[27,47],"should":[28,64],"consider":[29],"the":[30,35,66],"of":[32,37,97],"individuals.":[33],"Since":[34],"individuals":[38],"varies":[39],"from":[40],"generation":[41],"to":[42,68],"generation,":[43],"static":[44],"probably":[48],"isn't":[49],"a":[50,101],"choice.":[52],"Like":[53],"Darwinian-type":[54],"genetic":[55],"algorithm,":[56],"UMDA":[57,83],"intelligent":[60],"search":[61],"strategy,":[62],"it":[63],"have":[65],"ability":[67],"adjust":[69],"parameters.":[71],"In":[72],"this":[73],"study,":[74],"two":[75],"adaptive":[76],"methods":[79],"are":[80],"presented":[81],"for":[82],"continuous":[85],"domain":[86,90],"and":[87,107],"discrete":[89],"respectively.":[91],"Numerical":[92],"results":[93],"show":[94],"that":[95],"them":[98],"can":[99],"get":[100],"balance":[103],"between":[104],"convergent":[105,108],"velocity":[106],"reliability.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}