{"id":"https://openalex.org/W1546188059","doi":"https://doi.org/10.1109/cec.2015.7257032","title":"Fireworks algorithm with covariance mutation","display_name":"Fireworks algorithm with covariance mutation","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1546188059","doi":"https://doi.org/10.1109/cec.2015.7257032","mag":"1546188059"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2015.7257032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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":false,"raw_author_name":"Chao Yu","raw_affiliation_strings":["Department of Machine Intelligence, Peking University, Beijing, China","The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China, 100871"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China, 100871","institution_ids":["https://openalex.org/I20231570"]}]},{"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":["Department of Machine Intelligence, Peking University, Beijing, China","The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China, 100871"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"The Key Laboratory of Machine Perception and Intelligence (Ministry of Education), Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China, 100871","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.0576,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88742615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1250","last_page":"1256"},"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":0.9890999794006348,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fireworks","display_name":"Fireworks","score":0.8551578521728516},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.6609441041946411},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5702904462814331},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5408774614334106},{"id":"https://openalex.org/keywords/adaptive-mutation","display_name":"Adaptive mutation","score":0.49637919664382935},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.49228325486183167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4853864908218384},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.455597847700119},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44173768162727356},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3998104929924011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.312132865190506},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09706759452819824}],"concepts":[{"id":"https://openalex.org/C2778758847","wikidata":"https://www.wikidata.org/wiki/Q127933","display_name":"Fireworks","level":2,"score":0.8551578521728516},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.6609441041946411},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5702904462814331},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5408774614334106},{"id":"https://openalex.org/C192122231","wikidata":"https://www.wikidata.org/wiki/Q4680754","display_name":"Adaptive mutation","level":3,"score":0.49637919664382935},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.49228325486183167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4853864908218384},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.455597847700119},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44173768162727356},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3998104929924011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.312132865190506},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09706759452819824},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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":2,"locations":[{"id":"doi:10.1109/cec.2015.7257032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.718.392","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.718.392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cil.pku.edu.cn/publications/papers/2015/Yuchao2-cec2015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2187087","https://openalex.org/W112498084","https://openalex.org/W120040691","https://openalex.org/W1535723536","https://openalex.org/W1778475946","https://openalex.org/W1983659984","https://openalex.org/W2000144245","https://openalex.org/W2001410023","https://openalex.org/W2005166868","https://openalex.org/W2009726079","https://openalex.org/W2025449594","https://openalex.org/W2044198446","https://openalex.org/W2045806470","https://openalex.org/W2050085464","https://openalex.org/W2103748993","https://openalex.org/W2126018595","https://openalex.org/W2142615891","https://openalex.org/W2146016542","https://openalex.org/W2146176185","https://openalex.org/W2407321757","https://openalex.org/W4239305513","https://openalex.org/W4285719527","https://openalex.org/W6678532747"],"related_works":["https://openalex.org/W2210716960","https://openalex.org/W3087929459","https://openalex.org/W2436765613","https://openalex.org/W2807833928","https://openalex.org/W2358600532","https://openalex.org/W4244468174","https://openalex.org/W1965080005","https://openalex.org/W2138025676","https://openalex.org/W2056672006","https://openalex.org/W3010366267"],"abstract_inverted_index":{"Fireworks":[0],"algorithm":[1,7,20,33,93],"is":[2,53,113],"a":[3,50,114],"novel":[4],"swarm":[5],"intelligence":[6],"for":[8,79,117],"solving":[9],"optimization":[10],"problems":[11],"-":[12],"the":[13,17,22,27,31,44,57,66,69,81,91,102],"latest":[14],"versions":[15],"include":[16],"adaptive":[18],"fireworks":[19,24,92,105,118],"and":[21,98],"dynamic":[23],"algorithm.":[25,46],"However,":[26],"mutation":[28,40,51,59,96],"operator":[29,41,52,64],"in":[30,43],"former":[32],"was":[34,38],"ineffective,":[35],"whereas":[36],"there":[37],"no":[39],"available":[42],"latter":[45],"In":[47],"this":[48],"paper,":[49],"proposed,":[54],"dubbed":[55],"as":[56],"covariance":[58,95],"(CM)":[60],"operator.":[61],"The":[62,107],"CM":[63],"utilizes":[65],"information":[67],"of":[68,83],"sparks":[70,78],"with":[71,85,94,101],"better":[72],"fitness":[73],"values":[74],"to":[75],"generate":[76],"potential":[77],"finding":[80],"optima":[82],"functions":[84],"higher":[86],"possibility.":[87],"Therefore,":[88],"we":[89],"proposed":[90],"(FWACM)":[97],"compared":[99],"it":[100],"most":[103],"advanced":[104],"algorithms.":[106,119],"experimental":[108],"results":[109],"show":[110],"that":[111],"FWACM":[112],"significant":[115],"improvement":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
