{"id":"https://openalex.org/W2968445298","doi":"https://doi.org/10.1109/cec.2019.8790358","title":"A Univariate Marginal Distribution Resampling Differential Evolution Algorithm with Multi-Mutation Strategy","display_name":"A Univariate Marginal Distribution Resampling Differential Evolution Algorithm with Multi-Mutation Strategy","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968445298","doi":"https://doi.org/10.1109/cec.2019.8790358","mag":"2968445298"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","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/A5002194617","display_name":"Yuan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Fu","raw_affiliation_strings":["The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, School of Mechanical and Vehicle Engineering Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, School of Mechanical and Vehicle Engineering Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017468053","display_name":"Hu Wang","orcid":"https://orcid.org/0000-0002-5974-4499"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Wang","raw_affiliation_strings":["The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, School of Mechanical and Vehicle Engineering Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, School of Mechanical and Vehicle Engineering Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08899644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1236","last_page":"1242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9921000003814697,"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":0.9865000247955322,"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/resampling","display_name":"Resampling","score":0.8570094704627991},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.8547526597976685},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.7314553260803223},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6353945732116699},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5953229665756226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5140200853347778},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.47190243005752563},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4648534059524536},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4601813554763794},{"id":"https://openalex.org/keywords/mutation-rate","display_name":"Mutation rate","score":0.45491456985473633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4487683176994324},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4377817213535309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40187326073646545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3427509069442749},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3144233226776123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29704204201698303},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.22646558284759521},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1238107979297638},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06414315104484558}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8570094704627991},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.8547526597976685},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.7314553260803223},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6353945732116699},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5953229665756226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5140200853347778},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.47190243005752563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4648534059524536},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4601813554763794},{"id":"https://openalex.org/C98638677","wikidata":"https://www.wikidata.org/wiki/Q2067051","display_name":"Mutation rate","level":3,"score":0.45491456985473633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4487683176994324},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4377817213535309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40187326073646545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3427509069442749},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3144233226776123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29704204201698303},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.22646558284759521},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1238107979297638},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06414315104484558},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1548369215","https://openalex.org/W1595159159","https://openalex.org/W1965762108","https://openalex.org/W1970354386","https://openalex.org/W2028031385","https://openalex.org/W2042253843","https://openalex.org/W2078702416","https://openalex.org/W2079557127","https://openalex.org/W2117250519","https://openalex.org/W2133780129","https://openalex.org/W2137340504","https://openalex.org/W2144051602","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2162145193","https://openalex.org/W2310612427","https://openalex.org/W2537926666","https://openalex.org/W2593807586","https://openalex.org/W2726495777","https://openalex.org/W2730253853","https://openalex.org/W2738234280","https://openalex.org/W2896347400","https://openalex.org/W3111651974","https://openalex.org/W6787638318"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W2352041579","https://openalex.org/W2911841387","https://openalex.org/W2085244387","https://openalex.org/W2352581933"],"abstract_inverted_index":{"Mutation":[0],"strategy":[1,34,103],"is":[2,53,77,117,125],"an":[3],"important":[4],"issue":[5],"of":[6,12,75,110,139],"differential":[7,29],"evolution":[8,30,84],"(DE).":[9],"The":[10],"efforts":[11],"developing":[13],"new":[14],"mutation":[15,93,102],"strategies":[16,94],"have":[17],"received":[18],"more":[19],"attention.":[20],"In":[21,61],"this":[22,73],"paper,":[23],"a":[24,65,87,101],"univariate":[25,66],"marginal":[26,37,67],"distribution":[27,38,68],"resampling":[28,69],"algorithm":[31,39,124],"with":[32,142],"multi-mutation":[33],"(UMDE-MS).":[35],"Univariate":[36],"continuous":[40],"(UMDAc)":[41],"has":[42],"been":[43],"proved":[44],"to":[45,79,86,99],"be":[46],"efficient":[47],"in":[48,119],"nonseparable":[49],"problems":[50],"and":[51,97,114],"it":[52],"less":[54],"influenced":[55],"by":[56,72],"the":[57,62,81,122,128,137],"correlation":[58],"between":[59],"variables.":[60],"suggested":[63],"algorithm,":[64],"mechanism":[70],"inspired":[71],"feature":[74],"UMDAc":[76],"proposed":[78,96,123],"reinitialize":[80],"population":[82],"when":[83],"comes":[85],"standstill.":[88],"Moreover,":[89],"two":[90],"novel":[91],"adaptive":[92],"are":[95],"integrated":[98],"build":[100],"pool.":[104],"A":[105],"parameter":[106],"pool":[107],"which":[108],"consists":[109],"four":[111],"popular":[112],"F":[113],"Cr":[115],"settings":[116],"employed":[118],"UMDE-MS.":[120],"Finally,":[121],"tested":[126],"on":[127],"CEC2019":[129],"100-Digit":[130],"challenge":[131],"benchmark":[132],"problems.":[133],"Experimental":[134],"results":[135],"demonstrate":[136],"effectiveness":[138],"UMDE-MS":[140],"compared":[141],"other":[143],"state-of-the-art":[144],"algorithms.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}