{"id":"https://openalex.org/W2146382369","doi":"https://doi.org/10.1109/cec.2007.4424969","title":"DE-AEC: A differential evolution algorithm based on adaptive evolution control","display_name":"DE-AEC: A differential evolution algorithm based on adaptive evolution control","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2146382369","doi":"https://doi.org/10.1109/cec.2007.4424969","mag":"2146382369"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2007.4424969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 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/A5022518029","display_name":"Jingqiao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingqiao Zhang","raw_affiliation_strings":["Center for Automation Technologies and Systems, Rensselaer Polytechnic Institute, Troy, NY, USA","Rensselaer Polytech. Inst, Troy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Technologies and Systems, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytech. Inst, Troy","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109263482","display_name":"Arthur C. Sanderson","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arthur C. Sanderson","raw_affiliation_strings":["Center for Automation Technologies and Systems, Rensselaer Polytechnic Institute, Troy, NY, USA","Rensselaer Polytech. Inst, Troy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Technologies and Systems, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytech. Inst, Troy","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.2226,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.50214324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3824","last_page":"3830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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":0.9943000078201294,"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/differential-evolution","display_name":"Differential evolution","score":0.614167332649231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963047742843628},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3741147518157959}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.614167332649231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963047742843628},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3741147518157959}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2007.4424969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W75550020","https://openalex.org/W1708394971","https://openalex.org/W1879678483","https://openalex.org/W1984603815","https://openalex.org/W1989011358","https://openalex.org/W2012451526","https://openalex.org/W2013695155","https://openalex.org/W2016268734","https://openalex.org/W2036762380","https://openalex.org/W2070425636","https://openalex.org/W2111526171","https://openalex.org/W2129724855","https://openalex.org/W2139747021","https://openalex.org/W2151238122","https://openalex.org/W2162145193","https://openalex.org/W2165022466","https://openalex.org/W2165281693","https://openalex.org/W2166739626","https://openalex.org/W2260489273"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"A":[0],"new":[1],"differential":[2],"evolution":[3,11],"algorithm,":[4,110],"DE-AEC,":[5],"is":[6,23,73],"proposed":[7],"based":[8,56],"on":[9,57,95],"adaptive":[10],"control":[12],"utilizing":[13],"the":[14,37,53,58,61,66,90,113,127],"information":[15],"provided":[16],"by":[17,119],"a":[18,96],"surrogate":[19,68],"model.":[20,69],"The":[21,70],"algorithm":[22],"useful":[24],"for":[25,48,123],"optimization":[26],"problems":[27],"with":[28],"expensive":[29],"function":[30,41,63,117],"evaluations,":[31],"because":[32],"it":[33],"can":[34],"significantly":[35],"reduce":[36],"number":[38,114],"of":[39,65,79,98,115,129],"true":[40,116],"evaluations.":[42],"Specifically,":[43],"DE-AEC":[44,111],"generates":[45],"multiple":[46],"offspring":[47],"each":[49],"parent":[50],"and":[51,60,83],"chooses":[52],"promising":[54],"one":[55],"accuracy":[59,72],"predicted":[62],"value":[64],"current":[67],"model\u2019s":[71],"also":[74],"used":[75],"as":[76],"an":[77,106],"indicator":[78],"potential":[80],"false":[81],"convergence":[82,91],"special":[84],"measures":[85],"are":[86],"taken":[87],"to":[88,105],"improve":[89],"reliability.":[92],"Simulation":[93],"results":[94],"set":[97],"fifteen":[99],"test":[100],"functions":[101,125],"show":[102],"that,":[103],"compared":[104],"already":[107],"improved":[108],"DE":[109],"reduces":[112],"evaluations":[118],"30%":[120],"-":[121],"80%":[122],"fourteen":[124],"in":[126],"achievement":[128],"either":[130],"low-level":[131],"(10-2)":[132],"or":[133],"high-level":[134],"(10-8)":[135],"accuracy.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
