{"id":"https://openalex.org/W2929703911","doi":"https://doi.org/10.1080/03610918.2019.1588305","title":"Automatic genetic algorithm in clustering for discrete elements","display_name":"Automatic genetic algorithm in clustering for discrete elements","publication_year":2019,"publication_date":"2019-04-03","ids":{"openalex":"https://openalex.org/W2929703911","doi":"https://doi.org/10.1080/03610918.2019.1588305","mag":"2929703911"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1588305","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1588305","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-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/A5075209004","display_name":"Tai Vovan","orcid":"https://orcid.org/0000-0002-1343-4647"},"institutions":[{"id":"https://openalex.org/I177733328","display_name":"Can Tho University","ror":"https://ror.org/0071qz696","country_code":"VN","type":"education","lineage":["https://openalex.org/I177733328"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Tai Vovan","raw_affiliation_strings":["Mathematics Department, Can Tho University, Can Tho, Viet Nam;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, Can Tho University, Can Tho, Viet Nam;","institution_ids":["https://openalex.org/I177733328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089334735","display_name":"Dinh Phamtoan","orcid":"https://orcid.org/0000-0001-7873-9794"},"institutions":[{"id":"https://openalex.org/I177733328","display_name":"Can Tho University","ror":"https://ror.org/0071qz696","country_code":"VN","type":"education","lineage":["https://openalex.org/I177733328"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dinh Phamtoan","raw_affiliation_strings":["Mathematics Department, Can Tho University, Can Tho, Viet Nam;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, Can Tho University, Can Tho, Viet Nam;","institution_ids":["https://openalex.org/I177733328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084144971","display_name":"Dung Tranthituy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086020","display_name":"Vinh Long University of Technology Education","ror":"https://ror.org/00c72nj97","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210086020"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dung Tranthituy","raw_affiliation_strings":["Mathematics Department, Vinh Long College of Economic and Finance, Vnh Long, Viet Nam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, Vinh Long College of Economic and Finance, Vnh Long, Viet Nam","institution_ids":["https://openalex.org/I4210086020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075209004"],"corresponding_institution_ids":["https://openalex.org/I177733328"],"apc_list":null,"apc_paid":null,"fwci":1.1295,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83338066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.953000009059906,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.953000009059906,"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/T10320","display_name":"Neural Networks and Applications","score":0.9448000192642212,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9319999814033508,"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/cluster-analysis","display_name":"Cluster analysis","score":0.78661048412323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6565200090408325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407326459884644},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5881466269493103},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5872992277145386},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.4915507733821869},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4379199743270874},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.42542433738708496},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4250175952911377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3942570090293884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22630134224891663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17609688639640808}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.78661048412323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6565200090408325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407326459884644},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5881466269493103},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5872992277145386},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.4915507733821869},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4379199743270874},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.42542433738708496},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4250175952911377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3942570090293884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22630134224891663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17609688639640808},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1588305","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1588305","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W204206388","https://openalex.org/W1541288193","https://openalex.org/W1991490503","https://openalex.org/W1992419399","https://openalex.org/W1997073453","https://openalex.org/W1999075329","https://openalex.org/W2015253562","https://openalex.org/W2025142996","https://openalex.org/W2044465660","https://openalex.org/W2051224630","https://openalex.org/W2058269445","https://openalex.org/W2068406209","https://openalex.org/W2069022975","https://openalex.org/W2074553505","https://openalex.org/W2085283640","https://openalex.org/W2090365396","https://openalex.org/W2093363711","https://openalex.org/W2111991188","https://openalex.org/W2138810473","https://openalex.org/W2346012900","https://openalex.org/W2516438536","https://openalex.org/W2554499202","https://openalex.org/W2597382243","https://openalex.org/W2612707009","https://openalex.org/W4230674625","https://openalex.org/W4232401394","https://openalex.org/W4298266977"],"related_works":["https://openalex.org/W2115794623","https://openalex.org/W2888523397","https://openalex.org/W2380798983","https://openalex.org/W2363227388","https://openalex.org/W2377465662","https://openalex.org/W4360996914","https://openalex.org/W2360310504","https://openalex.org/W2382761789","https://openalex.org/W2182912710","https://openalex.org/W2375266628"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"an":[3],"automatic":[4],"genetic":[5,38],"algorithm":[6,39,57,77],"in":[7],"clustering":[8],"for":[9],"discrete":[10],"elements":[11],"(AGAD).":[12],"In":[13],"this":[14],"algorithm,":[15],"the":[16,28,34,72,75,85],"suitable":[17],"number":[18],"of":[19,31,36,44,74,89],"clusters":[20],"is":[21,46,58],"determined":[22],"by":[23,48,52,60,66],"a":[24],"new":[25],"measure":[26],"called":[27],"similar":[29],"index":[30],"cluster":[32],"and":[33,50,64,87],"steps":[35],"traditional":[37],"are":[40],"improved.":[41],"The":[42,55],"convergence":[43],"AGAD":[45],"considered":[47],"theory":[49],"illustrated":[51],"numerical":[53,62],"examples.":[54],"proposed":[56,76],"tested":[59],"many":[61],"examples":[63,70],"performed":[65],"Matlab":[67],"procedure.":[68],"These":[69],"illustrate":[71],"superiority":[73],"over":[78],"some":[79],"existing":[80],"algorithms.":[81],"They":[82],"also":[83],"demonstrate":[84],"feasibility":[86],"applicability":[88],"studied":[90],"problem.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}