{"id":"https://openalex.org/W2874383335","doi":"https://doi.org/10.1109/meco.2018.8406069","title":"Data classification based on the hybrid versions of the particle swarm optimization algorithm","display_name":"Data classification based on the hybrid versions of the particle swarm optimization algorithm","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2874383335","doi":"https://doi.org/10.1109/meco.2018.8406069","mag":"2874383335"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2018.8406069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","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/A5014751855","display_name":"Liliya Demidova","orcid":"https://orcid.org/0000-0003-4516-3746"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Liliya Demidova","raw_affiliation_strings":["Ryazan State Radio Engineering University, Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Ryazan State Radio Engineering University, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036437034","display_name":"Irina Klyueva","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Irina Klyueva","raw_affiliation_strings":["Ryazan State Radio Engineering University, Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Ryazan State Radio Engineering University, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014751855"],"corresponding_institution_ids":["https://openalex.org/I4210149385"],"apc_list":null,"apc_paid":null,"fwci":0.5518,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66761325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9861000180244446,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9861000180244446,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9761999845504761,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9707000255584717,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.765536367893219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640331506729126},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6344674825668335},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6343500018119812},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5986101031303406},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.5110040903091431},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49898290634155273},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4687250852584839},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4587564468383789},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.41586458683013916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40343809127807617},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3613506853580475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32903456687927246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1651095151901245},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.05216324329376221}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.765536367893219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640331506729126},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6344674825668335},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6343500018119812},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5986101031303406},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.5110040903091431},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49898290634155273},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4687250852584839},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4587564468383789},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.41586458683013916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40343809127807617},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3613506853580475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32903456687927246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1651095151901245},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.05216324329376221},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2018.8406069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","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":6,"referenced_works":["https://openalex.org/W2148603752","https://openalex.org/W2187150571","https://openalex.org/W2317744239","https://openalex.org/W2499687616","https://openalex.org/W2586951686","https://openalex.org/W2735186907"],"related_works":["https://openalex.org/W3205946279","https://openalex.org/W4321609116","https://openalex.org/W4309047791","https://openalex.org/W2342132082","https://openalex.org/W2089041033","https://openalex.org/W2754116932","https://openalex.org/W2256878198","https://openalex.org/W2580264476","https://openalex.org/W2042103162","https://openalex.org/W2066599192"],"abstract_inverted_index":{"The":[0,47],"paper":[1],"presents":[2],"two":[3],"hybrid":[4,29,58],"versions":[5,30,59],"of":[6,14,23,37,39,43,49,56,60,68,70,79,85,88],"the":[7,12,15,35,40,44,53,57,61,66,71,76,80],"basic":[8,62],"PSO":[9,63],"algorithm,":[10],"involving":[11],"use":[13],"classical":[16],"Grid":[17],"Search":[18],"(GS)":[19],"algorithm":[20,26,64],"and":[21],"Design":[22],"Experiment":[24],"(DOE)":[25],"correspondingly.":[27],"These":[28],"have":[31],"been":[32],"applied":[33],"to":[34],"problem":[36],"search":[38],"parameters":[41,78],"values":[42],"SVM":[45,81],"classifier.":[46],"results":[48],"experimental":[50],"studies":[51],"confirm":[52],"application":[54],"efficiency":[55],"with":[65],"aim":[67],"reducing":[69],"time":[72],"expenditures":[73],"for":[74],"searching":[75],"optimum":[77],"classifier":[82],"while":[83],"maintaining":[84],"high":[86],"quality":[87],"its":[89],"classification":[90],"decisions.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}