{"id":"https://openalex.org/W2170565219","doi":"https://doi.org/10.1145/2001576.2001724","title":"Multi-population differential evolution with adaptive parameter control for global optimization","display_name":"Multi-population differential evolution with adaptive parameter control for global optimization","publication_year":2011,"publication_date":"2011-07-12","ids":{"openalex":"https://openalex.org/W2170565219","doi":"https://doi.org/10.1145/2001576.2001724","mag":"2170565219"},"language":"en","primary_location":{"id":"doi:10.1145/2001576.2001724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001576.2001724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-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/A5100679900","display_name":"Wei\u2013Jie Yu","orcid":"https://orcid.org/0000-0002-8396-2023"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei-jie Yu","raw_affiliation_strings":["SUN Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SUN Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["SUN Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SUN Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100679900"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.4206,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93135682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1093","last_page":"1098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.9976999759674072,"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/differential-evolution","display_name":"Differential evolution","score":0.7548539042472839},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.7491061687469482},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7073249816894531},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6166540384292603},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5698577761650085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5500739812850952},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.527739405632019},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5191627740859985},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.49452611804008484},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.47256723046302795},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43683457374572754},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.43511962890625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3098294734954834},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07618212699890137}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7548539042472839},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.7491061687469482},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7073249816894531},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6166540384292603},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5698577761650085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5500739812850952},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.527739405632019},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5191627740859985},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.49452611804008484},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.47256723046302795},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43683457374572754},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.43511962890625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3098294734954834},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07618212699890137},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2001576.2001724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001576.2001724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W194800985","https://openalex.org/W1519759709","https://openalex.org/W1576888158","https://openalex.org/W1595159159","https://openalex.org/W1879678483","https://openalex.org/W1997600725","https://openalex.org/W1998674867","https://openalex.org/W2005470683","https://openalex.org/W2010861271","https://openalex.org/W2036762380","https://openalex.org/W2079483465","https://openalex.org/W2091263562","https://openalex.org/W2137340504","https://openalex.org/W2141001839","https://openalex.org/W2146879413","https://openalex.org/W2154349682","https://openalex.org/W2155529731","https://openalex.org/W2162145193","https://openalex.org/W2163845190","https://openalex.org/W2303224954","https://openalex.org/W3015222189","https://openalex.org/W3137715965"],"related_works":["https://openalex.org/W2106826352","https://openalex.org/W2062345926","https://openalex.org/W1565211001","https://openalex.org/W1996545838","https://openalex.org/W2203377304","https://openalex.org/W4225307019","https://openalex.org/W2071482028","https://openalex.org/W3042352085","https://openalex.org/W1975160134","https://openalex.org/W4293060509"],"abstract_inverted_index":{"Differential":[0],"evolution":[1],"(DE)":[2],"is":[3,22,40,87,106,137,150],"one":[4],"of":[5,48,77,97,104,130,147],"the":[6,91,98,102,118,142,154,172],"most":[7,81],"successful":[8],"evolutionary":[9],"algorithms":[10],"(EAs)":[11],"for":[12,24],"global":[13],"numerical":[14],"optimization.":[15],"Like":[16],"other":[17],"EAs,":[18],"maintaining":[19],"population":[20,49,95,175],"diversity":[21,96],"important":[23],"DE":[25,58,176,185],"to":[26,44,89,139,152,171],"escape":[27],"from":[28],"local":[29],"optima":[30],"and":[31,94,133,181],"locate":[32],"a":[33,37,41,56,72,134],"near-global":[34],"optimum.":[35],"Using":[36],"multi-population":[38,57,82,119],"algorithm":[39,59],"representative":[42],"method":[43],"avoid":[45],"early":[46],"loss":[47],"diversity.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"(MPDE)":[60],"which":[61],"manipulates":[62],"multiple":[63],"sub-populations.":[64],"Different":[65],"sub-populations":[66],"in":[67,80,123],"MPDE":[68,105,124,156,163],"exchange":[69],"information":[70],"via":[71],"novel":[73],"mutation":[74,85],"operation":[75,86],"instead":[76],"migration":[78],"used":[79,138,151],"EAs.":[83],"The":[84,158],"helpful":[88],"balance":[90],"fast":[92],"convergence":[93],"proposed":[99,155],"algorithm.":[100,157],"Moreover,":[101],"performance":[103],"further":[107],"improved":[108],"by":[109],"an":[110],"adaptive":[111],"parameter":[112,143,179],"control":[113,131],"scheme":[114],"designed":[115],"based":[116],"on":[117],"approach.":[120],"Each":[121],"sub-population":[122],"evolves":[125],"with":[126,177],"its":[127],"own":[128],"set":[129,146],"parameters,":[132],"learning":[135],"strategy":[136],"adaptively":[140],"adjust":[141],"values.":[144],"A":[145],"benchmark":[148],"functions":[149],"test":[153],"experimental":[159],"results":[160],"show":[161],"that":[162],"performs":[164],"better":[165],"than,":[166],"or":[167],"at":[168],"least":[169],"comparably,":[170],"classical":[173],"single":[174],"fixed":[178],"values":[180],"three":[182],"existing":[183],"state-of-the-art":[184],"variants.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
