{"id":"https://openalex.org/W3007202525","doi":"https://doi.org/10.3233/jifs-179665","title":"A parameter adaptive DE algorithm on real-parameter optimization","display_name":"A parameter adaptive DE algorithm on real-parameter optimization","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3007202525","doi":"https://doi.org/10.3233/jifs-179665","mag":"3007202525"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179665","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179665","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"type":"article","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/A5019810689","display_name":"Jeng\u2010Shyang Pan","orcid":"https://orcid.org/0000-0002-3128-9025"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]},{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeng-Shyang Pan","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662507","display_name":"Cheng Yang","orcid":"https://orcid.org/0000-0001-9680-0333"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yang","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","Institute of Artificial Intelligence, Fujian University of Technology, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081109972","display_name":"Fanjia Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090920","display_name":"Zhangqiu City People's Hospital","ror":"https://ror.org/00fts7a69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210090920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanjia Meng","raw_affiliation_strings":["Guanzhuang Central Primary School of Zhangqiu District, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guanzhuang Central Primary School of Zhangqiu District, Jinan, China","institution_ids":["https://openalex.org/I4210090920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416074","display_name":"Yuxin Chen","orcid":"https://orcid.org/0000-0001-6265-5529"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Chen","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","Institute of Artificial Intelligence, Fujian University of Technology, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067443082","display_name":"Zhenyu Meng","orcid":"https://orcid.org/0000-0002-1466-8082"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Meng","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","Institute of Artificial Intelligence, Fujian University of Technology, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067443082"],"corresponding_institution_ids":["https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":0.9126,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79812396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"38","issue":"5","first_page":"5775","last_page":"5786"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9959999918937683,"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":0.9955999851226807,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7248645424842834},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6609913110733032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176601648330688},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5876309275627136},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5409948825836182},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5347736477851868},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5333836674690247},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.5002608299255371},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4973738491535187},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.4872502386569977},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.4752376079559326},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4652928113937378},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4539295732975006},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.44705596566200256},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.4382883310317993},{"id":"https://openalex.org/keywords/test-functions-for-optimization","display_name":"Test functions for optimization","score":0.41292381286621094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2726198434829712},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.18645358085632324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13241219520568848},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.11917918920516968},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09064963459968567},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09010827541351318}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7248645424842834},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6609913110733032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176601648330688},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5876309275627136},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5409948825836182},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5347736477851868},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5333836674690247},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.5002608299255371},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4973738491535187},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.4872502386569977},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.4752376079559326},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4652928113937378},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4539295732975006},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.44705596566200256},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.4382883310317993},{"id":"https://openalex.org/C150185637","wikidata":"https://www.wikidata.org/wiki/Q7705773","display_name":"Test functions for optimization","level":4,"score":0.41292381286621094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2726198434829712},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.18645358085632324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13241219520568848},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.11917918920516968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09064963459968567},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09010827541351318},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179665","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179665","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W61765528","https://openalex.org/W1595159159","https://openalex.org/W1875348914","https://openalex.org/W1879678483","https://openalex.org/W1969195722","https://openalex.org/W2024060531","https://openalex.org/W2027382431","https://openalex.org/W2095339480","https://openalex.org/W2109364787","https://openalex.org/W2156194072","https://openalex.org/W2162145193","https://openalex.org/W2165299997","https://openalex.org/W2274556457","https://openalex.org/W2469486255","https://openalex.org/W2518055200","https://openalex.org/W2527424936","https://openalex.org/W2543580944","https://openalex.org/W2557542454","https://openalex.org/W2586892438","https://openalex.org/W2601443872","https://openalex.org/W2621078460","https://openalex.org/W2756891640","https://openalex.org/W2760293127","https://openalex.org/W2768403651","https://openalex.org/W2792040770","https://openalex.org/W2800659030","https://openalex.org/W2825879184","https://openalex.org/W2885321581","https://openalex.org/W2890503685","https://openalex.org/W2904326687","https://openalex.org/W2908549093","https://openalex.org/W2910382407","https://openalex.org/W2911036432","https://openalex.org/W2911056119","https://openalex.org/W2913222812","https://openalex.org/W2913598664","https://openalex.org/W2928261986","https://openalex.org/W3003236177","https://openalex.org/W4249457568"],"related_works":["https://openalex.org/W2356516493","https://openalex.org/W2389745779","https://openalex.org/W2357074593","https://openalex.org/W1988325824","https://openalex.org/W2186293978","https://openalex.org/W2353480216","https://openalex.org/W2739424705","https://openalex.org/W390783216","https://openalex.org/W4283079406","https://openalex.org/W1971866155"],"abstract_inverted_index":{"Differential":[0],"Evolution":[1],"(DE)":[2],"algorithm":[3,26,133],"generates":[4],"a":[5,12,19,44],"population":[6],"of":[7,30,34,47,56,63,125],"individuals":[8],"by":[9],"encoding":[10],"with":[11,136],"floating":[13],"point":[14],"vector,":[15],"and":[16,21,51,68,82,103,139,141],"it":[17,74],"is":[18,58,75,96,134],"simple":[20],"effective":[22],"population-based":[23],"stochastic":[24],"optimization":[25,29,87],"for":[27,122],"global":[28],"continuous":[31],"space.":[32],"Because":[33],"its":[35,145],"excellent":[36],"performance,":[37],"DE":[38,57],"variants":[39],"can":[40],"be":[41],"applied":[42],"in":[43,49],"wide":[45],"range":[46],"applications":[48],"science":[50],"engineering.":[52],"However,":[53],"the":[54,61,69,112,123],"performance":[55],"sensitive":[59],"to":[60,77,98],"choice":[62],"trial":[64],"vector":[65],"generation":[66],"strategy":[67,81],"associated":[70],"control":[71,83,100],"parameters.":[72],"Therefore,":[73],"necessary":[76],"choose":[78],"appropriate":[79],"mutation":[80],"parameters":[84,101],"when":[85],"tackling":[86],"applications.":[88],"In":[89],"this":[90],"paper,":[91],"an":[92],"adaptive":[93],"update":[94,99],"mechanism":[95],"proposed":[97,132],"F":[102],"Cr":[104],".":[105],"The":[106,131],"experimental":[107],"results":[108,143],"are":[109],"verified":[110],"on":[111],"CEC":[113],"2013":[114],"test":[115],"suite":[116],"which":[117],"contains":[118],"28":[119],"benchmark":[120],"functions":[121],"evaluation":[124],"single":[126],"objective":[127],"real":[128],"parameter":[129],"optimization.":[130],"compared":[135],"jDE,":[137],"iwPSO":[138],"ccPSO,":[140],"experiment":[142],"show":[144],"good":[146],"performance.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
