{"id":"https://openalex.org/W3123500859","doi":"https://doi.org/10.1109/scisisis50064.2020.9322724","title":"Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm","display_name":"Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm","publication_year":2020,"publication_date":"2020-12-05","ids":{"openalex":"https://openalex.org/W3123500859","doi":"https://doi.org/10.1109/scisisis50064.2020.9322724","mag":"3123500859"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis50064.2020.9322724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis50064.2020.9322724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)","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/A5039767363","display_name":"Tetsuyuki Takahama","orcid":null},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuyuki Takahama","raw_affiliation_strings":["Department of Intelligent Systems, Hiroshima City University, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111940759","display_name":"Setsuko Sakai","orcid":null},"institutions":[{"id":"https://openalex.org/I134282035","display_name":"Hiroshima Shudo University","ror":"https://ror.org/05n757p35","country_code":"JP","type":"education","lineage":["https://openalex.org/I134282035"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Setsuko Sakai","raw_affiliation_strings":["Faculty of Commercial Sciences, Hiroshima Shudo University, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Commercial Sciences, Hiroshima Shudo University, Hiroshima, Japan","institution_ids":["https://openalex.org/I134282035"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039767363"],"corresponding_institution_ids":["https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65371019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9969000220298767,"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":0.9962999820709229,"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/jade","display_name":"JADE (particle detector)","score":0.8499972224235535},{"id":"https://openalex.org/keywords/adaptive-mutation","display_name":"Adaptive mutation","score":0.8187638521194458},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.8172138929367065},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7644402980804443},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6799970865249634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5376087427139282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4742007851600647},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4552740454673767},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4201311469078064},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42003658413887024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34967175126075745},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.28025245666503906},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12251642346382141}],"concepts":[{"id":"https://openalex.org/C2780032874","wikidata":"https://www.wikidata.org/wiki/Q16948557","display_name":"JADE (particle detector)","level":2,"score":0.8499972224235535},{"id":"https://openalex.org/C192122231","wikidata":"https://www.wikidata.org/wiki/Q4680754","display_name":"Adaptive mutation","level":3,"score":0.8187638521194458},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.8172138929367065},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7644402980804443},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6799970865249634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5376087427139282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4742007851600647},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4552740454673767},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4201311469078064},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42003658413887024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34967175126075745},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.28025245666503906},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12251642346382141},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis50064.2020.9322724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis50064.2020.9322724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1504391786","https://openalex.org/W1595159159","https://openalex.org/W1879678483","https://openalex.org/W1923378012","https://openalex.org/W1974845977","https://openalex.org/W1983409684","https://openalex.org/W1986017851","https://openalex.org/W2002280630","https://openalex.org/W2018299061","https://openalex.org/W2021542110","https://openalex.org/W2065099535","https://openalex.org/W2117250519","https://openalex.org/W2118688555","https://openalex.org/W2132342218","https://openalex.org/W2137340504","https://openalex.org/W2151339633","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2162145193","https://openalex.org/W3015222189"],"related_works":["https://openalex.org/W2061457371","https://openalex.org/W1192856402","https://openalex.org/W2947732622","https://openalex.org/W4294811543","https://openalex.org/W2997917529","https://openalex.org/W4220834479","https://openalex.org/W2620419788","https://openalex.org/W2351823505","https://openalex.org/W1565211001","https://openalex.org/W83000460"],"abstract_inverted_index":{"Differential":[0],"Evolution":[1],"(DE)":[2],"has":[3],"been":[4,70],"successfully":[5],"applied":[6],"to":[7,51,66,72,79,122],"various":[8],"optimization":[9],"problems.":[10,142],"The":[11,91,128],"performance":[12],"of":[13,26,94,115,130],"DE":[14],"is":[15,35,136],"affected":[16],"by":[17,138],"algorithm":[18],"parameters,":[19],"mutation":[20,43,49,56,109],"strategies":[21,44],"and":[22,45,101,117,125],"so":[23],"on.":[24],"One":[25],"the":[27,33,83,99,102,113,133],"most":[28],"successful":[29],"studies":[30],"on":[31,42,98],"controlling":[32],"parameters":[34],"JADE.":[36,53],"In":[37],"this":[38],"study,":[39],"we":[40],"focus":[41],"propose":[46,106],"an":[47,107],"adaptive":[48,108],"strategy":[50,110],"improve":[52,73],"Some":[54],"directional":[55,60,116,119],"strategies,":[57],"which":[58],"utilize":[59],"difference":[61],"vectors":[62,84,96,120],"from":[63],"bad":[64],"individuals":[65],"good":[67],"individuals,":[68],"have":[69],"proposed":[71,134],"search":[74,103],"speed.":[75],"However,":[76],"in":[77,85],"order":[78],"avoid":[80],"local":[81],"solutions,":[82],"opposite":[86,118],"direction":[87],"may":[88],"be":[89],"necessary.":[90],"proper":[92],"frequency":[93,114],"such":[95],"depends":[97],"problem":[100],"process.":[104],"We":[105],"that":[111],"controls":[112],"adaptively":[121],"realizes":[123],"efficient":[124],"stable":[126],"search.":[127],"advantage":[129],"JADE":[131],"with":[132],"method":[135],"shown":[137],"solving":[139],"thirteen":[140],"benchmark":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}