{"id":"https://openalex.org/W2786508967","doi":"https://doi.org/10.4018/ijssci.2018010104","title":"Chaotic Tornadogenesis Optimization Algorithm for Data Clustering Problems","display_name":"Chaotic Tornadogenesis Optimization Algorithm for Data Clustering Problems","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2786508967","doi":"https://doi.org/10.4018/ijssci.2018010104","mag":"2786508967"},"language":"en","primary_location":{"id":"doi:10.4018/ijssci.2018010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijssci.2018010104","pdf_url":null,"source":{"id":"https://openalex.org/S201241086","display_name":"International Journal of Software Science and Computational Intelligence","issn_l":"1942-9037","issn":["1942-9037","1942-9045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Science and Computational Intelligence","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/A5086537011","display_name":"Ravi Kumar Saidala","orcid":"https://orcid.org/0000-0002-3658-6651"},"institutions":[{"id":"https://openalex.org/I177001074","display_name":"Acharya Nagarjuna University","ror":"https://ror.org/02mfapa96","country_code":"IN","type":"education","lineage":["https://openalex.org/I177001074"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi Kumar Saidala","raw_affiliation_strings":["Acharya Nagarjuna University, Guntur, India"],"raw_orcid":"https://orcid.org/0000-0002-3658-6651","affiliations":[{"raw_affiliation_string":"Acharya Nagarjuna University, Guntur, India","institution_ids":["https://openalex.org/I177001074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012130214","display_name":"Nagaraju Devarakonda","orcid":"https://orcid.org/0000-0003-4864-8482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagaraju Devarakonda","raw_affiliation_strings":["LBR College of Engineering, Malavaram, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LBR College of Engineering, Malavaram, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1466,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83195508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"1","first_page":"38","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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":0.9984999895095825,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9968000054359436,"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":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.8448440432548523},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8028121590614319},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5609496235847473},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.53275465965271},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5034534335136414},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4957815110683441},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44856002926826477},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44484078884124756},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43723607063293457},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4177650213241577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3063124120235443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2458479404449463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8448440432548523},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8028121590614319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5609496235847473},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.53275465965271},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5034534335136414},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4957815110683441},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44856002926826477},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44484078884124756},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43723607063293457},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4177650213241577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3063124120235443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2458479404449463},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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:10.4018/ijssci.2018010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijssci.2018010104","pdf_url":null,"source":{"id":"https://openalex.org/S201241086","display_name":"International Journal of Software Science and Computational Intelligence","issn_l":"1942-9037","issn":["1942-9037","1942-9045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Science and Computational Intelligence","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":35,"referenced_works":["https://openalex.org/W147860157","https://openalex.org/W208128215","https://openalex.org/W643094741","https://openalex.org/W1571785518","https://openalex.org/W1902725932","https://openalex.org/W1973997930","https://openalex.org/W1978695274","https://openalex.org/W1984779822","https://openalex.org/W1996062600","https://openalex.org/W1998656827","https://openalex.org/W1998782704","https://openalex.org/W2009576180","https://openalex.org/W2010006328","https://openalex.org/W2011430131","https://openalex.org/W2061438946","https://openalex.org/W2062693824","https://openalex.org/W2076767174","https://openalex.org/W2082311166","https://openalex.org/W2141635413","https://openalex.org/W2170230439","https://openalex.org/W2176546791","https://openalex.org/W2234523762","https://openalex.org/W2251432411","https://openalex.org/W2290883490","https://openalex.org/W2313726139","https://openalex.org/W2347008388","https://openalex.org/W2593949166","https://openalex.org/W2594649906","https://openalex.org/W2618873858","https://openalex.org/W2619700212","https://openalex.org/W2730059884","https://openalex.org/W2778447675","https://openalex.org/W4243003645","https://openalex.org/W4300106150","https://openalex.org/W6746429522"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2992415251","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W4283765137","https://openalex.org/W2804364458","https://openalex.org/W2390808588","https://openalex.org/W2951819827","https://openalex.org/W2849310602"],"abstract_inverted_index":{"This":[0],"article":[1,116],"describes":[2],"how":[3],"clustering":[4,42,64,154],"is":[5,35,47,81,101,129,141],"an":[6],"attractive":[7],"and":[8,38,73,109,132,148,159,172],"major":[9],"task":[10],"in":[11,14,40,66],"data":[12,58,77,153],"mining":[13],"which":[15,80],"particular":[16],"set":[17],"of":[18,62,71,122,168],"objects":[19],"are":[20],"grouped":[21],"according":[22],"to":[23,49,93,130,151],"their":[24],"similarities":[25],"based":[26],"on":[27,144],"some":[28],"criteria.":[29],"Among":[30],"the":[31,36,56,68,76,98,106,135,166],"numerous":[32],"algorithms,":[33],"k-Means":[34],"best":[37],"efficient":[39],"address":[41,94],"problems.":[43,96,155],"Any":[44],"expert":[45],"system":[46],"said":[48],"be":[50],"good,":[51],"only":[52],"if":[53],"it":[54],"returns":[55],"optimal":[57,63,69],"clusters.":[59],"The":[60,119,138,156],"challenge":[61],"lies":[65],"finding":[67],"number":[70],"clusters":[72],"identifying":[74],"all":[75],"groups":[78],"correctly":[79],"a":[82,86],"NP-hard":[83],"problem.":[84],"Recently":[85],"new":[87],"optimization":[88],"algorithm":[89],"TOA":[90,100,128],"was":[91],"developed":[92],"these":[95],"However,":[97],"standard":[99,127,145],"too":[102],"often":[103],"trapped":[104],"at":[105],"local":[107],"optima":[108],"premature":[110],"convergence.":[111],"To":[112],"overcome":[113],"this,":[114],"this":[115],"proposes":[117],"CTOA.":[118],"main":[120],"objective":[121],"embedding":[123],"chaotic":[124],"maps":[125],"into":[126],"compute":[131],"automatically":[133],"adapt":[134],"internal":[136],"parameters.":[137],"proposed":[139],"CTOA":[140,169],"first":[142],"benchmarked":[143],"mathematical":[146],"functions":[147],"later":[149],"applied":[150],"10":[152],"obtained":[157],"graphical":[158],"statistical":[160],"results":[161],"along":[162],"with":[163],"comparisons":[164],"illustrate":[165],"capabilities":[167],"regarding":[170],"accuracy":[171],"robustness":[173]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
