{"id":"https://openalex.org/W4327945688","doi":"https://doi.org/10.1007/s40747-023-00975-y","title":"A novel ensemble estimation of distribution algorithm with distribution modification strategies","display_name":"A novel ensemble estimation of distribution algorithm with distribution modification strategies","publication_year":2023,"publication_date":"2023-03-20","ids":{"openalex":"https://openalex.org/W4327945688","doi":"https://doi.org/10.1007/s40747-023-00975-y"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-00975-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-00975-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-00975-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-00975-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005333910","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0000-0002-8482-6138"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["Beijing Blue Sky Innovation Center for Frontier Science, Beijing, 100085, China"],"affiliations":[{"raw_affiliation_string":"Beijing Blue Sky Innovation Center for Frontier Science, Beijing, 100085, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057055708","display_name":"Yintong Li","orcid":"https://orcid.org/0000-0001-5304-5147"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yintong Li","raw_affiliation_strings":["Aviation Engineering School, Air Force Engineering University, Xi\u2019an, 710038, China"],"affiliations":[{"raw_affiliation_string":"Aviation Engineering School, Air Force Engineering University, Xi\u2019an, 710038, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101555145","display_name":"Yajun Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802505932","display_name":"China Aerodynamics Research and Development Center","ror":"https://ror.org/00jma8s40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802505932"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajun Liang","raw_affiliation_strings":["China Aerodynamics Research and Development Center, Mianyang, 621000, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"China Aerodynamics Research and Development Center, Mianyang, 621000, Sichuan, China","institution_ids":["https://openalex.org/I2802505932"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015240995","display_name":"Bi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bi Wu","raw_affiliation_strings":["Beijing Blue Sky Innovation Center for Frontier Science, Beijing, 100085, China"],"affiliations":[{"raw_affiliation_string":"Beijing Blue Sky Innovation Center for Frontier Science, Beijing, 100085, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027731595","display_name":"Yongbo Xuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongbo Xuan","raw_affiliation_strings":["Beijing Blue Sky Innovation Center for Frontier Science, Beijing, 100085, China"],"affiliations":[{"raw_affiliation_string":"Beijing Blue Sky Innovation Center for Frontier Science, Beijing, 100085, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005333910"],"corresponding_institution_ids":[],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.7052,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74544749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"9","issue":"5","first_page":"5377","last_page":"5416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9854999780654907,"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":0.9490000009536743,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.822192907333374},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6289513111114502},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5840826034545898},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5808378458023071},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.559766948223114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5409070253372192},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5210096836090088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5157025456428528},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4941003620624542},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.48460137844085693},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4779232144355774},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.47084853053092957},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4637700915336609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2898983359336853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25676172971725464},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18133029341697693},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11277934908866882}],"concepts":[{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.822192907333374},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6289513111114502},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5840826034545898},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5808378458023071},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.559766948223114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5409070253372192},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5210096836090088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5157025456428528},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4941003620624542},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.48460137844085693},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4779232144355774},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.47084853053092957},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4637700915336609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2898983359336853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25676172971725464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18133029341697693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11277934908866882},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-00975-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-00975-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-00975-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8b829c66835d4ceab9a7fa11a30abed9","is_oa":true,"landing_page_url":"https://doaj.org/article/8b829c66835d4ceab9a7fa11a30abed9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5377-5416 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-00975-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-00975-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-00975-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4327945688.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1503296932","https://openalex.org/W1966497546","https://openalex.org/W2037086081","https://openalex.org/W2039367850","https://openalex.org/W2042253843","https://openalex.org/W2052367557","https://openalex.org/W2073619458","https://openalex.org/W2110683677","https://openalex.org/W2112036188","https://openalex.org/W2141684176","https://openalex.org/W2159963411","https://openalex.org/W2167795535","https://openalex.org/W2224736893","https://openalex.org/W2285034650","https://openalex.org/W2288712476","https://openalex.org/W2337646313","https://openalex.org/W2356386248","https://openalex.org/W2414365832","https://openalex.org/W2557716476","https://openalex.org/W2557923043","https://openalex.org/W2564330218","https://openalex.org/W2598409928","https://openalex.org/W2611487186","https://openalex.org/W2730253853","https://openalex.org/W2732536220","https://openalex.org/W2745575657","https://openalex.org/W2793947558","https://openalex.org/W2896347400","https://openalex.org/W2897728985","https://openalex.org/W2932222233","https://openalex.org/W2963324733","https://openalex.org/W3006913685","https://openalex.org/W3019390098","https://openalex.org/W3048469615","https://openalex.org/W3104331710","https://openalex.org/W3111651974","https://openalex.org/W3130515520","https://openalex.org/W3136961168","https://openalex.org/W3175883765","https://openalex.org/W4200560608"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W79495104","https://openalex.org/W2132657523","https://openalex.org/W2303442355","https://openalex.org/W2362998257","https://openalex.org/W2069001474","https://openalex.org/W4245106865","https://openalex.org/W1984081282","https://openalex.org/W2007801908"],"abstract_inverted_index":{"Abstract":[0],"The":[1,71,99,175],"canonical":[2],"estimation":[3],"of":[4,46,104,178],"distribution":[5,48,63,97,126],"algorithm":[6],"(EDA)":[7],"easily":[8],"falls":[9],"into":[10],"a":[11,39],"local":[12,130],"optimum":[13],"with":[14,43,171],"an":[15,44],"ill-shaped":[16,85],"population":[17,53,76],"distribution,":[18],"which":[19],"leads":[20],"to":[21,78,93,110,128],"weak":[22],"convergence":[23],"performance":[24,137,177],"and":[25,60,83,144,153,161],"less":[26],"stability":[27],"when":[28,120],"solving":[29,183],"global":[30],"optimization":[31],"problems.":[32,155],"To":[33],"overcome":[34],"this":[35],"defect,":[36],"we":[37],"explore":[38],"novel":[40],"EDA":[41,159],"variant":[42],"ensemble":[45],"three":[47],"modification":[49],"strategies,":[50],"i.e.,":[51],"archive-based":[52],"updating":[54],"(APU),":[55],"multileader-based":[56],"search":[57,81,122],"diversification":[58],"(MSD),":[59],"the":[61,80,91,96,105,112,121,125,133,141,172,189],"triggered":[62,119],"shrinkage":[64],"(TDS)":[65],"strategy,":[66],"named":[67],"E":[68,134,179],"3":[69,135,180],"-EDA.":[70],"APU":[72],"strategy":[73],"utilizes":[74],"historical":[75],"information":[77],"rebuild":[79],"scope":[82,127],"avoid":[84,94],"distributions.":[86],"Moreover,":[87,156],"it":[88],"continuously":[89],"updates":[90],"archive":[92],"overfitting":[95],"model.":[98],"MSD":[100],"makes":[101],"full":[102],"use":[103],"location":[106],"differences":[107],"among":[108],"populations":[109],"evolve":[111],"sampling":[113],"toward":[114],"promising":[115],"regions.":[116],"TDS":[117],"is":[118,138,186],"stagnates,":[123],"shrinking":[124],"achieve":[129],"exploitation.":[131],"Additionally,":[132],"-EDA":[136,181],"evaluated":[139],"using":[140],"CEC":[142,145,166],"2014":[143],"2018":[146],"test":[147,191],"suites":[148],"on":[149],"10-dimensional,":[150],"30-dimensional,":[151],"50-dimensional":[152],"100-dimensional":[154],"several":[157],"prominent":[158],"variants":[160],"other":[162],"top":[163],"methods":[164],"from":[165],"competitions":[167],"are":[168],"comprehensively":[169],"compared":[170],"proposed":[173],"method.":[174],"competitive":[176],"in":[182],"complex":[184],"problems":[185],"supported":[187],"by":[188],"nonparametric":[190],"results.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
