{"id":"https://openalex.org/W2558796040","doi":"https://doi.org/10.1109/cec.2016.7743923","title":"Cooperative framework fireworks algorithm with covariance mutation","display_name":"Cooperative framework fireworks algorithm with covariance mutation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2558796040","doi":"https://doi.org/10.1109/cec.2016.7743923","mag":"2558796040"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7743923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5103534722","display_name":"Chao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Yu","raw_affiliation_strings":["The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090737756","display_name":"Ling Chen Kelley","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Ling Chen Kelley","raw_affiliation_strings":["Department of History, Tsinghua University, Beijing, China","Department of World Languages and Cultures, Auburn University at Montgomery, Montgomery, AL, United States"],"affiliations":[{"raw_affiliation_string":"Department of History, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of World Languages and Cultures, Auburn University at Montgomery, Montgomery, AL, United States","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023089209","display_name":"Ying Tan","orcid":"https://orcid.org/0000-0001-8243-4731"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tan","raw_affiliation_strings":["The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103534722"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79831307,"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":"1196","last_page":"1203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9624999761581421,"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":0.9591000080108643,"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/fireworks","display_name":"Fireworks","score":0.7935434579849243},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.7503993511199951},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.6254626512527466},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5832436680793762},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5688294172286987},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5380932688713074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.52455735206604},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.521674633026123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5141034722328186},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.4532304108142853},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.4392549395561218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2808351516723633},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1506643295288086}],"concepts":[{"id":"https://openalex.org/C2778758847","wikidata":"https://www.wikidata.org/wiki/Q127933","display_name":"Fireworks","level":2,"score":0.7935434579849243},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7503993511199951},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.6254626512527466},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5832436680793762},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5688294172286987},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5380932688713074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.52455735206604},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.521674633026123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5141034722328186},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.4532304108142853},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.4392549395561218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2808351516723633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1506643295288086},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/cec.2016.7743923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","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":25,"referenced_works":["https://openalex.org/W112498084","https://openalex.org/W744623092","https://openalex.org/W1140713873","https://openalex.org/W1442654960","https://openalex.org/W1494445566","https://openalex.org/W1535723536","https://openalex.org/W1546188059","https://openalex.org/W1561936690","https://openalex.org/W1562272194","https://openalex.org/W1574963389","https://openalex.org/W1584703815","https://openalex.org/W1594976966","https://openalex.org/W1983659984","https://openalex.org/W2005166868","https://openalex.org/W2009726079","https://openalex.org/W2022913361","https://openalex.org/W2146176185","https://openalex.org/W2182761707","https://openalex.org/W2289397080","https://openalex.org/W2407321757","https://openalex.org/W2764082140","https://openalex.org/W4232342035","https://openalex.org/W4285719527","https://openalex.org/W4302577885","https://openalex.org/W6686280248"],"related_works":["https://openalex.org/W1987433714","https://openalex.org/W4212806423","https://openalex.org/W1994560683","https://openalex.org/W2802808995","https://openalex.org/W3190773221","https://openalex.org/W2391924736","https://openalex.org/W2021957875","https://openalex.org/W1560122427","https://openalex.org/W2116954712","https://openalex.org/W2780789525"],"abstract_inverted_index":{"Since":[0],"fireworks":[1,44,51],"algorithm":[2,45,52],"(FWA)":[3],"debuted":[4],"in":[5,17,57],"2010,":[6],"a":[7],"dozen":[8],"proposals":[9],"of":[10],"improvement":[11],"for":[12],"FWA":[13],"had":[14],"been":[15],"published":[16],"an":[18],"effort":[19],"to":[20,47,59],"enhance,":[21],"refine":[22],"and":[23,30,84],"optimize":[24],"accuracy":[25],"while":[26],"minimizing":[27],"calculation":[28],"speed":[29],"volume.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"introduce":[36],"the":[37,61],"covariance":[38,54],"mutation":[39,55],"operator":[40],"into":[41],"cooperative":[42,49],"framework":[43,50],"(CoFFWA)":[46],"create":[48],"with":[53],"(CoFFWA-CM)":[56],"order":[58],"solve":[60],"Congress":[62],"on":[63,70,79],"Evolutionary":[64],"Computation":[65],"(CEC":[66],"2016)":[67],"competition":[68],"functions":[69],"single":[71],"objective":[72],"optimization.":[73],"The":[74],"experimental":[75],"results":[76],"are":[77],"calculated":[78],"all":[80],"10-,":[81],"30-,":[82],"50-":[83],"100-dimensional":[85],"functions.":[86]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
