{"id":"https://openalex.org/W2153060984","doi":"https://doi.org/10.1109/cec.2011.5949602","title":"Hybrid Artificial Bee Colony algorithm for neural network training","display_name":"Hybrid Artificial Bee Colony algorithm for neural network training","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2153060984","doi":"https://doi.org/10.1109/cec.2011.5949602","mag":"2153060984"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of 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/A5006931164","display_name":"Celal \u00d6zt\u00fcrk","orcid":"https://orcid.org/0000-0003-3798-8123"},"institutions":[{"id":"https://openalex.org/I87673952","display_name":"Erciyes University","ror":"https://ror.org/047g8vk19","country_code":"TR","type":"education","lineage":["https://openalex.org/I87673952"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Celal Ozturk","raw_affiliation_strings":["Computer Engineering Department, Erciyes University, Kayseri, Turkey"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Erciyes University, Kayseri, Turkey","institution_ids":["https://openalex.org/I87673952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058576703","display_name":"Dervi\u015f Karabo\u011fa","orcid":"https://orcid.org/0000-0003-1439-6969"},"institutions":[{"id":"https://openalex.org/I87673952","display_name":"Erciyes University","ror":"https://ror.org/047g8vk19","country_code":"TR","type":"education","lineage":["https://openalex.org/I87673952"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Dervis Karaboga","raw_affiliation_strings":["Computer Engineering Department, Erciyes University, Kayseri, Turkey"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Erciyes University, Kayseri, Turkey","institution_ids":["https://openalex.org/I87673952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006931164"],"corresponding_institution_ids":["https://openalex.org/I87673952"],"apc_list":null,"apc_paid":null,"fwci":13.32,"has_fulltext":false,"cited_by_count":161,"citation_normalized_percentile":{"value":0.988259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983000159263611,"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/T10057","display_name":"Face and Expression Recognition","score":0.9772999882698059,"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/maxima-and-minima","display_name":"Maxima and minima","score":0.8624060153961182},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7835100293159485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6932768821716309},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6012458205223083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5950806140899658},{"id":"https://openalex.org/keywords/artificial-bee-colony-algorithm","display_name":"Artificial bee colony algorithm","score":0.5668216347694397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5647186040878296},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5028256773948669},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4599096179008484},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.4399491846561432},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4226756691932678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3760662376880646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14287006855010986}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.8624060153961182},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7835100293159485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6932768821716309},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6012458205223083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5950806140899658},{"id":"https://openalex.org/C97133563","wikidata":"https://www.wikidata.org/wiki/Q4801057","display_name":"Artificial bee colony algorithm","level":2,"score":0.5668216347694397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5647186040878296},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5028256773948669},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4599096179008484},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.4399491846561432},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4226756691932678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3760662376880646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14287006855010986},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2011.5949602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of 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":24,"referenced_works":["https://openalex.org/W1490481545","https://openalex.org/W1498436455","https://openalex.org/W1534473561","https://openalex.org/W1540362944","https://openalex.org/W1541007220","https://openalex.org/W1996688253","https://openalex.org/W2001646920","https://openalex.org/W2020009149","https://openalex.org/W2051680981","https://openalex.org/W2098477891","https://openalex.org/W2099000607","https://openalex.org/W2106688677","https://openalex.org/W2124290836","https://openalex.org/W2124776405","https://openalex.org/W2155482699","https://openalex.org/W2157080539","https://openalex.org/W2165301864","https://openalex.org/W2287814884","https://openalex.org/W2997337171","https://openalex.org/W6632012789","https://openalex.org/W6632298018","https://openalex.org/W6678191276","https://openalex.org/W6696126189","https://openalex.org/W6772672672"],"related_works":["https://openalex.org/W1535694475","https://openalex.org/W1558978786","https://openalex.org/W1965562977","https://openalex.org/W2135804779","https://openalex.org/W2093953062","https://openalex.org/W1554143855","https://openalex.org/W11982742","https://openalex.org/W2901867447","https://openalex.org/W2354119057","https://openalex.org/W2191582490"],"abstract_inverted_index":{"A":[0],"hybrid":[1,64],"algorithm":[2,8,12,83,89],"combining":[3,66],"Artificial":[4],"Bee":[5],"Colony":[6],"(ABC)":[7],"with":[9,86],"Levenberq-Marquardt":[10],"(LM)":[11],"is":[13,24,31,84],"introduced":[14],"to":[15,32,75,90],"train":[16,76],"artificial":[17],"neural":[18,77,93],"networks":[19],"(ANN).":[20],"Training":[21],"an":[22,25],"ANN":[23],"optimization":[26],"task":[27],"where":[28],"the":[29,38,53,87],"goal":[30],"find":[33],"optimal":[34],"weight":[35],"set":[36],"of":[37],"network":[39],"in":[40,49],"training":[41,44,92],"process.":[42],"Traditional":[43],"algorithms":[45,69],"might":[46,57],"get":[47],"stuck":[48],"local":[50],"minima":[51,60],"and":[52,70],"global":[54,59,67],"search":[55,68],"techniques":[56,72],"catch":[58],"very":[61],"slow.":[62],"Therefore,":[63],"models":[65],"conventional":[71],"are":[73],"employed":[74],"networks.":[78,94],"In":[79],"this":[80],"work,":[81],"ABC":[82],"hybridized":[85],"LM":[88],"apply":[91]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":9}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
