{"id":"https://openalex.org/W2100623403","doi":"https://doi.org/10.1109/icnc.2011.6022065","title":"Support vector machine with parameter optimization by bare bones differential evolution","display_name":"Support vector machine with parameter optimization by bare bones differential evolution","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2100623403","doi":"https://doi.org/10.1109/icnc.2011.6022065","mag":"2100623403"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2011.6022065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","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/A5091176173","display_name":"Qiu Dao-yin","orcid":null},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daoyin Qiu","raw_affiliation_strings":["North China University of Water Resources and Electric Power, Zhengzhou, China","Huazhong University of Science and Technology, Wuhan, CHINA"],"affiliations":[{"raw_affiliation_string":"North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, CHINA","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043270712","display_name":"Yao Li","orcid":"https://orcid.org/0000-0001-5197-8277"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Li","raw_affiliation_strings":["North China University of Water Resources and Electric Power, Zhengzhou, China","(North China University of Water Resources and Electric Power, Zhengzhou, China)"],"affiliations":[{"raw_affiliation_string":"North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]},{"raw_affiliation_string":"(North China University of Water Resources and Electric Power, Zhengzhou, China)","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339499","display_name":"Xiaoyuan Zhang","orcid":"https://orcid.org/0000-0002-7216-5053"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyuan Zhang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China","Huazhong University of Science and Technology, Wuhan, CHINA"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, CHINA","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041710135","display_name":"Bo Gu","orcid":"https://orcid.org/0000-0003-3869-1292"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Gu","raw_affiliation_strings":["North China University of Water Resources and Electric Power, Zhengzhou, China","(North China University of Water Resources and Electric Power, Zhengzhou, China)"],"affiliations":[{"raw_affiliation_string":"North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]},{"raw_affiliation_string":"(North China University of Water Resources and Electric Power, Zhengzhou, China)","institution_ids":["https://openalex.org/I198645480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091176173"],"corresponding_institution_ids":["https://openalex.org/I198645480","https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.7103,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86859791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"263","last_page":"266"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10057","display_name":"Face and Expression Recognition","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8140555620193481},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.8097744584083557},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7380271553993225},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.6908925771713257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5618211030960083},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.5563207268714905},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5205912590026855},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.5034798979759216},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47655776143074036},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.45619967579841614},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4119732677936554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3953067660331726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3789063096046448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3633238971233368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2799188494682312},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13366615772247314}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8140555620193481},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.8097744584083557},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7380271553993225},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.6908925771713257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5618211030960083},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.5563207268714905},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5205912590026855},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.5034798979759216},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47655776143074036},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.45619967579841614},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4119732677936554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3953067660331726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3789063096046448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3633238971233368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2799188494682312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13366615772247314},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2011.6022065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1998674867","https://openalex.org/W2020355555","https://openalex.org/W2037429515","https://openalex.org/W2037575202","https://openalex.org/W2059115408","https://openalex.org/W2099680562","https://openalex.org/W2109364787","https://openalex.org/W2109943925","https://openalex.org/W2111393363","https://openalex.org/W2156909104","https://openalex.org/W2158001550","https://openalex.org/W2169245194","https://openalex.org/W3137715965","https://openalex.org/W4230674625"],"related_works":["https://openalex.org/W2113650225","https://openalex.org/W2393398569","https://openalex.org/W2351868275","https://openalex.org/W2365047340","https://openalex.org/W2355013257","https://openalex.org/W2107369277","https://openalex.org/W2893292693","https://openalex.org/W3102725223","https://openalex.org/W4323922629","https://openalex.org/W2350737211"],"abstract_inverted_index":{"As":[0],"one":[1],"state-of-the-art":[2],"pattern":[3],"recognition":[4],"method,":[5],"support":[6],"vector":[7],"machine":[8],"(SVM)":[9],"has":[10,105],"been":[11],"successfully":[12],"applied":[13],"in":[14],"many":[15],"diverse":[16],"regions.":[17],"But":[18],"the":[19,39,60,78,97,110],"parameter":[20,46],"optimization":[21,43,71,82],"for":[22,113],"SVM":[23,114],"is":[24,36,56,66,74,116],"a":[25,67,75],"further":[26],"ongoing":[27],"research":[28],"issue.":[29],"The":[30,64,100],"most":[31],"used":[32,57,94],"grid":[33],"search":[34],"method":[35],"time-consuming":[37],"and":[38,84,115],"traditional":[40],"global":[41],"stochastic":[42],"techniques":[44],"are":[45,93],"dependent.":[47],"In":[48],"this":[49],"paper,":[50],"bare":[51],"bones":[52],"differential":[53,85],"evolution":[54,86],"(BBDE)":[55],"to":[58,95,108,118],"tune":[59],"parameters":[61,112],"of":[62,77],"SVM.":[63],"BBDE":[65,104],"new,":[68],"almost":[69],"parameter-free":[70],"algorithm":[72],"that":[73,103],"hybrid":[76],"barebones":[79],"particle":[80],"swarm":[81],"(PSO)":[83],"(DE).":[87],"Some":[88],"international":[89],"standard":[90],"data":[91],"sets":[92],"evaluate":[96],"proposed":[98],"algorithm.":[99],"experiment":[101],"shows":[102],"good":[106],"performances":[107],"find":[109],"optimal":[111],"superior":[117],"some":[119],"other":[120],"methods.":[121]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
