{"id":"https://openalex.org/W4239305513","doi":"https://doi.org/10.1109/cec.2014.6900418","title":"Adaptive Fireworks Algorithm","display_name":"Adaptive Fireworks Algorithm","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W4239305513","doi":"https://doi.org/10.1109/cec.2014.6900418"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900418","doi":"https://doi.org/10.1109/cec.2014.6900418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900418","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101681996","display_name":"Junzhi Li","orcid":"https://orcid.org/0000-0002-5476-823X","observed_orcids":["https://orcid.org/0000-0002-5476-823X"]},"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":"Junzhi Li","raw_affiliation_strings":["Department of Machine Intelligence, Peking University, Beijing, P.R., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, P.R., China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083317426","display_name":"Shaoqiu Zheng","orcid":null,"observed_orcids":[]},"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":"Shaoqiu Zheng","raw_affiliation_strings":["Department of Machine Intelligence, Peking University, Beijing, P.R., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, P.R., China","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","observed_orcids":["https://orcid.org/0000-0001-8243-4731","https://orcid.org/0000-0001-8495-0246"]},"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, P.R., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, P.R., China","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":8.7188,"has_fulltext":false,"cited_by_count":158,"citation_normalized_percentile":{"value":0.98763933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3214","last_page":"3221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":1.0,"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":1.0,"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/T11946","display_name":"Antenna Design and Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.0,"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/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.8180000185966492},{"id":"https://openalex.org/keywords/cec2013-benchmark-functions","display_name":"CEC2013 benchmark functions","score":0.8080000281333923},{"id":"https://openalex.org/keywords/particle-swarm-optimization-comparison","display_name":"particle swarm optimization comparison","score":0.7480000257492065}],"concepts":[{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.7957913875579834},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7490872144699097},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7310932874679565},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6635914444923401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5171024799346924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.511349618434906},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.47200724482536316},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46829384565353394},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38442546129226685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30242469906806946},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09817695617675781},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2014.6900418","doi":"https://doi.org/10.1109/cec.2014.6900418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900418","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.716.4528","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.716.4528","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/2014/LiZhengTanCEC2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"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/W1976006672","https://openalex.org/W2000144245","https://openalex.org/W2022913361","https://openalex.org/W2050085464","https://openalex.org/W2057035153","https://openalex.org/W2103748993","https://openalex.org/W2139386984","https://openalex.org/W2142615891","https://openalex.org/W2146016542","https://openalex.org/W2407321757","https://openalex.org/W2917884856"],"related_works":["https://openalex.org/W2407321757","https://openalex.org/W2146176185","https://openalex.org/W2615178053","https://openalex.org/W1482095082","https://openalex.org/W2498017147","https://openalex.org/W3039148122","https://openalex.org/W2464585100","https://openalex.org/W4309374913","https://openalex.org/W3159421382","https://openalex.org/W3039849634"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"firstly,":[3],"the":[4,8,24,36,41,45,53,59,70,90,97,106,110,125],"amplitude":[5,26,31,54,73,101],"used":[6],"in":[7,56,86],"Enhanced":[9],"Fireworks":[10,47],"Algorithm":[11,48],"(EFWA)":[12],"is":[13,20,28,32,50,102,113],"analyzed":[14],"and":[15,22,92,108],"its":[16],"lack":[17],"of":[18,40],"adaptability":[19],"revealed,":[21],"then":[23],"adaptive":[25,61,71,100],"method":[27],"proposed":[29],"where":[30,99],"calculated":[33],"according":[34,117],"to":[35,68,88,118],"already":[37],"evaluated":[38],"fitness":[39],"individuals":[42],"adaptively.":[43],"Finally,":[44],"Adaptive":[46],"(AFWA)":[49],"proposed,":[51],"replacing":[52],"operator":[55],"EFWA":[57,107],"with":[58],"new":[60],"amplitude.":[62],"Some":[63],"theoretical":[64],"analyses":[65],"are":[66,83],"made":[67],"prove":[69],"explosion":[72],"a":[74],"promising":[75],"method.":[76],"Experiments":[77],"on":[78],"CEC13's":[79],"28":[80],"benchmark":[81],"functions":[82],"also":[84],"conducted":[85],"order":[87],"illustrate":[89],"performance":[91],"it":[93],"turns":[94],"out":[95],"that":[96],"AFWA":[98,121],"adopted":[103],"outperforms":[104],"significantly":[105],"meanwhile":[109],"time":[111],"consumed":[112],"not":[114],"longer.":[115],"Moreover,":[116],"experimental":[119],"results,":[120],"performs":[122],"better":[123],"than":[124],"Standard":[126],"Particle":[127],"Swarm":[128],"Optimization":[129],"(SPSO).":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":15}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2022-05-12T00:00:00"}