{"id":"https://openalex.org/W2028555431","doi":"https://doi.org/10.1109/cec.2014.6900476","title":"Memetic differential evolution based on fitness Euclidean-distance ratio","display_name":"Memetic differential evolution based on fitness Euclidean-distance ratio","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2028555431","doi":"https://doi.org/10.1109/cec.2014.6900476","mag":"2028555431"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5001242154","display_name":"Boyang Qu","orcid":"https://orcid.org/0000-0001-7539-3927"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"B. Y. Qu","raw_affiliation_strings":["School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676081","display_name":"Jing Liang","orcid":"https://orcid.org/0000-0003-0811-0223"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. J. Liang","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","School of Electrical Engineering Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical Engineering Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721757","display_name":"Junming Xiao","orcid":"https://orcid.org/0000-0002-1847-7857"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. M. Xiao","raw_affiliation_strings":["School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054656866","display_name":"Zhiyuan Shang","orcid":"https://orcid.org/0009-0009-8938-2335"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Z. G. Shang","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","School of Electrical Engineering Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical Engineering Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001242154"],"corresponding_institution_ids":["https://openalex.org/I132586189"],"apc_list":null,"apc_paid":null,"fwci":3.6811,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93561668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2266","last_page":"2273"},"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":0.9988999962806702,"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":0.9914000034332275,"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/euclidean-distance","display_name":"Euclidean distance","score":0.7504836320877075},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.7226694226264954},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7137213945388794},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6367725133895874},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.521674394607544},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.5187230706214905},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4947492480278015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4906562864780426},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46196478605270386},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4395673871040344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4206335246562958},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.34235680103302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2903135418891907}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7504836320877075},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7226694226264954},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7137213945388794},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6367725133895874},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.521674394607544},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.5187230706214905},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4947492480278015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4906562864780426},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46196478605270386},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4395673871040344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4206335246562958},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.34235680103302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2903135418891907},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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/cec.2014.6900476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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":19,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1699954493","https://openalex.org/W1968173975","https://openalex.org/W1980750007","https://openalex.org/W2013958310","https://openalex.org/W2042476863","https://openalex.org/W2051667550","https://openalex.org/W2056665801","https://openalex.org/W2086472535","https://openalex.org/W2104274529","https://openalex.org/W2120204384","https://openalex.org/W2122102648","https://openalex.org/W2122387936","https://openalex.org/W2142844925","https://openalex.org/W2156194072","https://openalex.org/W2182761707","https://openalex.org/W4285719527","https://openalex.org/W6637305717","https://openalex.org/W6686280248"],"related_works":["https://openalex.org/W2135310322","https://openalex.org/W2768478912","https://openalex.org/W4251322511","https://openalex.org/W2771537924","https://openalex.org/W1990478250","https://openalex.org/W3206863852","https://openalex.org/W2114337401","https://openalex.org/W2071482028","https://openalex.org/W2010556956","https://openalex.org/W1996545838"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"differential":[4],"evolution":[5],"algorithm":[6],"based":[7],"on":[8,73,83],"fitness":[9,38],"Euclidean-distance":[10,39],"ratio":[11,40],"which":[12],"was":[13,24,47,65,89],"proposed":[14,71],"to":[15,26,49,57],"maintain":[16],"multiple":[17],"peaks":[18],"in":[19,55],"the":[20,28,37,42,45,51,59,62,70,74],"multimodal":[21],"optimization":[22,34,88],"problems":[23],"modified":[25],"solve":[27],"complex":[29],"single":[30,84],"objective":[31,85],"real":[32],"parameter":[33],"problems.":[35],"With":[36],"technique,":[41],"diversity":[43],"of":[44,69,76],"population":[46],"kept":[48],"enhance":[50],"exploration":[52],"ability.":[53],"And":[54],"order":[56],"improve":[58],"exploitation":[60],"ability,":[61],"Quasi-Newton":[63],"method":[64,72],"combined.":[66],"The":[67],"performance":[68],"set":[75],"benchmark":[77],"functions":[78],"provided":[79],"by":[80],"CEC2014":[81],"competition":[82],"real-parameter":[86],"numerical":[87],"reported.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
