{"id":"https://openalex.org/W2062636510","doi":"https://doi.org/10.1109/rait.2012.6194619","title":"Clustering by multi objective genetic algorithm","display_name":"Clustering by multi objective genetic algorithm","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2062636510","doi":"https://doi.org/10.1109/rait.2012.6194619","mag":"2062636510"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2012.6194619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","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/A5023484847","display_name":"Dipankar Dutta","orcid":"https://orcid.org/0000-0002-1930-2741"},"institutions":[{"id":"https://openalex.org/I132359460","display_name":"University of Burdwan","ror":"https://ror.org/05cyd8v32","country_code":"IN","type":"education","lineage":["https://openalex.org/I132359460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dipankar Dutta","raw_affiliation_strings":["Department of CSE and IT, U.I.T., University of Burdwan, Burdwan, West Bengal, India","Dept. of CSE and IT, U.I.T., The University of Burdwan, W.B., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE and IT, U.I.T., University of Burdwan, Burdwan, West Bengal, India","institution_ids":["https://openalex.org/I132359460"]},{"raw_affiliation_string":"Dept. of CSE and IT, U.I.T., The University of Burdwan, W.B., India","institution_ids":["https://openalex.org/I132359460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070517688","display_name":"Paramartha Dutta","orcid":"https://orcid.org/0000-0003-3946-2440"},"institutions":[{"id":"https://openalex.org/I130291710","display_name":"Visva-Bharati University","ror":"https://ror.org/02y28sc20","country_code":"IN","type":"education","lineage":["https://openalex.org/I130291710"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Paramartha Dutta","raw_affiliation_strings":["Department of Computer and System Sciences, Visva Bharati University, Santiniketan, West Bengal, India","Dept. of Computer and System Sciences, Visva Bharati University, Santiniketan, W.B., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and System Sciences, Visva Bharati University, Santiniketan, West Bengal, India","institution_ids":["https://openalex.org/I130291710"]},{"raw_affiliation_string":"Dept. of Computer and System Sciences, Visva Bharati University, Santiniketan, W.B., India","institution_ids":["https://openalex.org/I130291710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085924003","display_name":"Jaya Sil","orcid":"https://orcid.org/0000-0001-6335-4437"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaya Sil","raw_affiliation_strings":["Department of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, West Bengal, India","Dept. of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, W.B., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, West Bengal, India","institution_ids":["https://openalex.org/I98365261"]},{"raw_affiliation_string":"Dept. of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, W.B., India","institution_ids":["https://openalex.org/I98365261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4228,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94377994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3410","issue":null,"first_page":"548","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.816726565361023},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6387081146240234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602056086063385},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5929937362670898},{"id":"https://openalex.org/keywords/k-medoids","display_name":"k-medoids","score":0.5515772700309753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48635274171829224},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.4667309522628784},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.46517086029052734},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46032586693763733},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.45755186676979065},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4430442750453949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.441040962934494},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.4121329188346863},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4100210666656494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4051735997200012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36149662733078003},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.35827237367630005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2947307229042053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21107247471809387},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16746127605438232}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.816726565361023},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6387081146240234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602056086063385},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5929937362670898},{"id":"https://openalex.org/C65932786","wikidata":"https://www.wikidata.org/wiki/Q3191282","display_name":"k-medoids","level":5,"score":0.5515772700309753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48635274171829224},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.4667309522628784},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.46517086029052734},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46032586693763733},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.45755186676979065},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4430442750453949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.441040962934494},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.4121329188346863},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4100210666656494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4051735997200012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36149662733078003},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.35827237367630005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2947307229042053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21107247471809387},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16746127605438232},{"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:10.1109/rait.2012.6194619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","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":37,"referenced_works":["https://openalex.org/W29009202","https://openalex.org/W83645925","https://openalex.org/W138743339","https://openalex.org/W259338706","https://openalex.org/W803972901","https://openalex.org/W1481462362","https://openalex.org/W1490690856","https://openalex.org/W1493454437","https://openalex.org/W1497256448","https://openalex.org/W1504943474","https://openalex.org/W1513608017","https://openalex.org/W1530010412","https://openalex.org/W1540636360","https://openalex.org/W1553373771","https://openalex.org/W1559701175","https://openalex.org/W1595498733","https://openalex.org/W1659842140","https://openalex.org/W1992419399","https://openalex.org/W2023059455","https://openalex.org/W2046938271","https://openalex.org/W2053900989","https://openalex.org/W2071965987","https://openalex.org/W2084812512","https://openalex.org/W2108031918","https://openalex.org/W2126105956","https://openalex.org/W2131435419","https://openalex.org/W2140066605","https://openalex.org/W2140190241","https://openalex.org/W2142183404","https://openalex.org/W2149204676","https://openalex.org/W2151153628","https://openalex.org/W2612166593","https://openalex.org/W2982720039","https://openalex.org/W3023540311","https://openalex.org/W4298236029","https://openalex.org/W6629122313","https://openalex.org/W6680838134"],"related_works":["https://openalex.org/W4282973472","https://openalex.org/W2367377022","https://openalex.org/W2386689530","https://openalex.org/W3177244355","https://openalex.org/W1584028106","https://openalex.org/W2088480663","https://openalex.org/W2216440784","https://openalex.org/W3113302101","https://openalex.org/W2389804866","https://openalex.org/W2380554135"],"abstract_inverted_index":{"The":[0,41],"aim":[1],"of":[2,22,32,44,57,76,84,128],"the":[3,20,30,60,81,112,123,134],"paper":[4],"is":[5,34,37,48],"to":[6,50,63,121],"study":[7],"a":[8],"real":[9],"coded":[10],"multi":[11],"objective":[12],"genetic":[13],"algorithm":[14],"based":[15],"K-clustering,":[16],"where":[17],"K":[18,33],"represents":[19],"number":[21],"clusters,":[23],"may":[24],"be":[25],"known":[26],"or":[27],"unknown.":[28],"If":[29],"value":[31],"known,":[35],"it":[36],"called":[38],"K-clustering":[39],"algorithm.":[40],"searching":[42],"power":[43],"Genetic":[45,87],"Algorithm":[46,88],"(GA)":[47],"exploited":[49],"get":[51],"for":[52,101],"proper":[53],"clusters":[54,58],"and":[55,70,78,94],"centers":[56],"in":[59],"feature":[61],"space":[62],"optimize":[64],"simultaneously":[65],"intra-cluster":[66],"distance":[67,98],"(Homogeneity)":[68],"(H)":[69],"inter-cluster":[71],"distances":[72],"(Separation)":[73],"(S).":[74],"Maximization":[75],"1/H":[77],"S":[79,95],"are":[80,130,142],"twin":[82],"objectives":[83],"Multi":[85],"Objective":[86],"(MOGA)":[89],"achieved":[90],"by":[91,139],"measuring":[92],"H":[93],"using":[96],"Euclidean":[97],"metric,":[99],"suitable":[100],"continuous":[102,118],"features":[103,119],"(attributes).":[104],"We":[105],"have":[106],"selected":[107],"10":[108],"data":[109],"sets":[110],"from":[111],"UCI":[113],"machine":[114],"learning":[115],"repository":[116],"containing":[117],"only":[120],"validate":[122],"proposed":[124],"algorithms.":[125],"All-important":[126],"steps":[127],"algorithms":[129],"shown":[131],"here.":[132],"At":[133],"end,":[135],"classification":[136],"accuracies":[137],"obtained":[138],"best":[140],"chromosomes":[141],"shown.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}