{"id":"https://openalex.org/W3150115031","doi":"https://doi.org/10.1109/cec.2008.4631178","title":"A self-adaptive strategy for controlling parameters in Differential Evolution","display_name":"A self-adaptive strategy for controlling parameters in Differential Evolution","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W3150115031","doi":"https://doi.org/10.1109/cec.2008.4631178","mag":"3150115031"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4631178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","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/A5113958057","display_name":"Omar S. Soliman","orcid":null},"institutions":[{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Omar S. Soliman","raw_affiliation_strings":["School of ITEE,Australian Defence Force Academy, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of ITEE,Australian Defence Force Academy, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102922886","display_name":"Lam Thu Bui","orcid":"https://orcid.org/0000-0002-9812-4970"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lam T. Bui","raw_affiliation_strings":["School of ITEE,Australian Defence Force Academy, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of ITEE,Australian Defence Force Academy, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113958057"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I40053085"],"apc_list":null,"apc_paid":null,"fwci":2.2882,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90627262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"2837","last_page":"2842"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9980999827384949,"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":0.989300012588501,"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":0.8356350660324097},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7351855039596558},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6787334084510803},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6723052263259888},{"id":"https://openalex.org/keywords/adaptive-strategies","display_name":"Adaptive strategies","score":0.645807147026062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614557266235352},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.5356400012969971},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5219918489456177},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5042675733566284},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5024466514587402},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47052276134490967},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.44680726528167725},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4355073571205139},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4155117869377136},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4106658101081848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3007863163948059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19571566581726074},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13089987635612488}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.8356350660324097},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7351855039596558},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6787334084510803},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6723052263259888},{"id":"https://openalex.org/C167393769","wikidata":"https://www.wikidata.org/wiki/Q4680768","display_name":"Adaptive strategies","level":2,"score":0.645807147026062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614557266235352},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.5356400012969971},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5219918489456177},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5042675733566284},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5024466514587402},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47052276134490967},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.44680726528167725},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4355073571205139},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4155117869377136},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4106658101081848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3007863163948059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19571566581726074},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13089987635612488},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2008.4631178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320965","display_name":"University of New South Wales","ror":"https://ror.org/03r8z3t63"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W177635913","https://openalex.org/W202626401","https://openalex.org/W225560312","https://openalex.org/W1699954493","https://openalex.org/W1945057821","https://openalex.org/W1974845977","https://openalex.org/W2069881902","https://openalex.org/W2103830255","https://openalex.org/W2129724855","https://openalex.org/W2146879413","https://openalex.org/W2162145193","https://openalex.org/W3015222189","https://openalex.org/W4255989889","https://openalex.org/W6607293001","https://openalex.org/W6608886761","https://openalex.org/W6637305717"],"related_works":["https://openalex.org/W2161410550","https://openalex.org/W2378600890","https://openalex.org/W2125994025","https://openalex.org/W4299455866","https://openalex.org/W2995097707","https://openalex.org/W8431176","https://openalex.org/W3034393045","https://openalex.org/W2242387338","https://openalex.org/W3150115031","https://openalex.org/W4220834479"],"abstract_inverted_index":{"The":[0,34,117],"Differential":[1,27],"Evolution":[2,28],"(DE)":[3],"is":[4,65],"a":[5,88,99],"stochastic":[6],"population-based":[7],"search":[8],"method":[9],"for":[10,22,91],"global":[11],"optimization":[12,32,93],"over":[13],"continuous":[14],"spaces.":[15],"This":[16,63],"paper":[17],"presents":[18],"an":[19,38],"efficient":[20],"strategy":[21,36,64,104],"self-adapting":[23],"control":[24],"parameters":[25],"in":[26],"to":[29,66,79,86],"solve":[30],"real-parameter":[31],"problems.":[33,94],"proposed":[35,103,132],"introduces":[37],"adaptive":[39],"mechanism":[40],"at":[41],"the":[42,51,60,102,122,125,131],"individual":[43],"level":[44],"based":[45],"on":[46,105],"Cauchy":[47],"distribution":[48],"(CD)":[49],"where":[50],"step":[52],"length":[53],"and":[54,85],"crossover":[55],"rate":[56],"are":[57,114],"self-adapted":[58],"during":[59],"evolution":[61],"process.":[62],"utilize":[67],"attractive":[68],"features":[69],"of":[70,98,108,124],"CD,":[71],"which":[72],"has":[73],"thick":[74],"tails":[75],"that":[76,121],"enable":[77],"it":[78],"generate":[80],"considerable":[81],"changes":[82],"more":[83],"frequently":[84],"escape":[87],"local":[89],"optima":[90],"multi-modal":[92],"Detailed":[95],"performance":[96,123],"comparisons":[97],"DE":[100,126],"using":[101],"wide":[106],"range":[107],"fifteen":[109],"standard":[110],"benchmark":[111],"test":[112],"problems":[113],"carried":[115],"out.":[116],"obtained":[118],"results":[119],"showed":[120],"had":[127],"been":[128],"improved":[129],"with":[130],"self-adaptive":[133],"strategy.":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
