{"id":"https://openalex.org/W3188393254","doi":"https://doi.org/10.1109/cec45853.2021.9504795","title":"Differential Evolution with Distance-based Mutation-selection Applied to CEC 2021 Single Objective Numerical Optimisation","display_name":"Differential Evolution with Distance-based Mutation-selection Applied to CEC 2021 Single Objective Numerical Optimisation","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3188393254","doi":"https://doi.org/10.1109/cec45853.2021.9504795","mag":"3188393254"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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/A5060362188","display_name":"Petr Bujok","orcid":"https://orcid.org/0000-0003-2956-1226"},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Bujok","raw_affiliation_strings":["University of Ostrava, Ostrava, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045064553","display_name":"Patrik Kolenovsk\u00fd","orcid":null},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Patrik Kolenovsky","raw_affiliation_strings":["University of Ostrava, Ostrava, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5393,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86066948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"849","last_page":"856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9977999925613403,"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":0.9902999997138977,"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/crossover","display_name":"Crossover","score":0.7834343314170837},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7784904837608337},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.7315781712532043},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.7262036204338074},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6682879328727722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5803362727165222},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5678350329399109},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5601793527603149},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5554978847503662},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4600624144077301},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4540286362171173},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.43780332803726196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32557541131973267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24196311831474304}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7834343314170837},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7784904837608337},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.7315781712532043},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7262036204338074},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6682879328727722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5803362727165222},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5678350329399109},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5601793527603149},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5554978847503662},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4600624144077301},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4540286362171173},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.43780332803726196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32557541131973267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24196311831474304},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec45853.2021.9504795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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":18,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W2016114852","https://openalex.org/W2042253843","https://openalex.org/W2088424609","https://openalex.org/W2117250519","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2162145193","https://openalex.org/W2166545510","https://openalex.org/W2310612427","https://openalex.org/W2606060253","https://openalex.org/W2732171826","https://openalex.org/W2769676836","https://openalex.org/W2901199996","https://openalex.org/W2968169296","https://openalex.org/W3083059811","https://openalex.org/W3099656834","https://openalex.org/W6782833466"],"related_works":["https://openalex.org/W4379115841","https://openalex.org/W2083794993","https://openalex.org/W1511772879","https://openalex.org/W4394660363","https://openalex.org/W2186315912","https://openalex.org/W2588591308","https://openalex.org/W2248125223","https://openalex.org/W2910542634","https://openalex.org/W2127898439","https://openalex.org/W1988293173"],"abstract_inverted_index":{"A":[0],"Differential":[1],"Evolution":[2],"(DE)":[3],"algorithm":[4],"with":[5,36,128],"distance-based":[6],"mutation-selection,":[7],"population":[8],"size":[9],"reduction,":[10],"and":[11,19,112],"an":[12,63,72],"optional":[13],"external":[14],"archive":[15,73],"(DEDMNA)":[16],"is":[17,69,74,91,114,137],"proposed":[18,61,87],"tested":[20],"on":[21],"the":[22,53,60,86,104,124,133],"CEC":[23],"2021":[24],"benchmark":[25],"suite.":[26],"The":[27,42,81],"three":[28,45],"well-known":[29],"mutation":[30],"variants":[31],"are":[32,49],"chosen":[33],"in":[34,109,117],"combination":[35],"one":[37],"crossover":[38],"for":[39],"this":[40],"model.":[41],"distances":[43],"of":[44,89,97,121,126,135],"newly":[46],"generated":[47],"positions":[48],"computed":[50],"to":[51,57,76,93],"select":[52],"most":[54],"proper":[55],"position":[56],"evaluate.":[58],"In":[59],"algorithm,":[62],"efficient":[64,105],"linear":[65],"population-size":[66],"reduction":[67],"mechanism":[68],"applied.":[70],"Moreover,":[71,101],"employed":[75],"store":[77],"older":[78],"effective":[79],"solutions.":[80],"provided":[82],"results":[83],"show":[84],"that":[85],"variant":[88,108],"DEDMNA":[90,102,127,136],"able":[92],"solve":[94],"64":[95],"out":[96,120],"160":[98],"optimisation":[99],"problems.":[100],"outperforms":[103],"adaptive":[106],"j2020":[107],"102":[110],"problems,":[111],"it":[113],"worse":[115],"only":[116],"15":[118],"problems":[119],"160.":[122],"From":[123],"comparison":[125],"five":[129],"state-of-the-art":[130],"DE":[131],"algorithms,":[132],"superiority":[134],"obvious.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
