{"id":"https://openalex.org/W2557672990","doi":"https://doi.org/10.1109/cec.2016.7744132","title":"Clustering using flower pollination algorithm and Calinski-Harabasz index","display_name":"Clustering using flower pollination algorithm and Calinski-Harabasz index","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2557672990","doi":"https://doi.org/10.1109/cec.2016.7744132","mag":"2557672990"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on 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/A5082087108","display_name":"Szymon \u0141ukasik","orcid":"https://orcid.org/0000-0001-6716-610X"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Szymon Lukasik","raw_affiliation_strings":["Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103129777","display_name":"Piotr A. Kowalski","orcid":"https://orcid.org/0000-0003-4041-6900"},"institutions":[{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"funder","lineage":["https://openalex.org/I99542240"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr A. Kowalski","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086599373","display_name":"Ma\u0142gorzata Charytanowicz","orcid":"https://orcid.org/0000-0002-1956-3941"},"institutions":[{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"funder","lineage":["https://openalex.org/I99542240"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Malgorzata Charytanowicz","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072696337","display_name":"Piotr Kulczycki","orcid":"https://orcid.org/0000-0001-8641-8886"},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"funder","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Kulczycki","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082087108"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":8.1411,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.9756697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2724","last_page":"2728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9954000115394592,"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":0.9954000115394592,"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":0.988099992275238,"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/T11106","display_name":"Data Management and Algorithms","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8021494746208191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6644405722618103},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6372785568237305},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5455490946769714},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5247160196304321},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4883820414543152},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4839039742946625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4737868010997772},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4162839651107788},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34581172466278076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30545568466186523}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8021494746208191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6644405722618103},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6372785568237305},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5455490946769714},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5247160196304321},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4883820414543152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4839039742946625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4737868010997772},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4162839651107788},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34581172466278076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30545568466186523},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2016.7744132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on 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":29,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W50459191","https://openalex.org/W127010602","https://openalex.org/W152434773","https://openalex.org/W1511339751","https://openalex.org/W1585002319","https://openalex.org/W1606402766","https://openalex.org/W1771326151","https://openalex.org/W1788708300","https://openalex.org/W1984779822","https://openalex.org/W1985059878","https://openalex.org/W1991359419","https://openalex.org/W2004061489","https://openalex.org/W2033403400","https://openalex.org/W2033807837","https://openalex.org/W2085487226","https://openalex.org/W2089783325","https://openalex.org/W2127218421","https://openalex.org/W2129066856","https://openalex.org/W2130473611","https://openalex.org/W2161661539","https://openalex.org/W2162506329","https://openalex.org/W3100933494","https://openalex.org/W3105265400","https://openalex.org/W3120740533","https://openalex.org/W4250042253","https://openalex.org/W4297825776","https://openalex.org/W6638288848","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W2041180560"],"abstract_inverted_index":{"Task":[0],"of":[1,12,16,27,42,66,76,96,104,114,123,130],"clustering,":[2],"that":[3,111],"is":[4,56,90,109,126],"data":[5,18],"division":[6],"into":[7],"homogeneous":[8],"groups":[9],"represents":[10],"one":[11,103],"the":[13,51,64,102,112],"elementary":[14],"problems":[15],"contemporary":[17],"mining.":[19],"Cluster":[20],"analysis":[21],"can":[22,48],"be":[23,59],"approached":[24],"through":[25],"variety":[26],"methods":[28],"based":[29],"on":[30],"statistical":[31],"inference":[32],"or":[33],"heuristic":[34],"techniques.":[35],"Recently":[36],"algorithms":[37],"employing":[38],"novel":[39],"meta-heuristics":[40],"are":[41],"special":[43],"interest":[44],"\u2014":[45],"as":[46,81],"they":[47],"effectively":[49],"tackle":[50],"problem":[52],"under":[53],"consideration":[54],"which":[55],"known":[57],"to":[58],"NP-hard.":[60],"The":[61,121],"paper":[62],"studies":[63],"application":[65,113],"nature-inspired":[67],"Flower":[68],"Pollination":[69],"Algorithm":[70],"for":[71,135],"clustering":[72],"with":[73,85,101],"internal":[74],"measure":[75],"Calinski-Harabasz":[77],"index":[78],"being":[79,91],"used":[80],"optimization":[82],"criterion.":[83],"Along":[84],"algorithm's":[86],"description":[87],"its":[88],"performance":[89],"evaluated":[92],"over":[93],"a":[94],"set":[95],"benchmark":[97],"instances":[98],"and":[99,133],"compared":[100],"well-known":[105],"K-means":[106],"procedure.":[107],"It":[108],"concluded":[110],"introduced":[115],"technique":[116],"brings":[117],"very":[118],"promising":[119],"outcomes.":[120],"discussion":[122],"obtained":[124],"results":[125],"followed":[127],"by":[128],"areas":[129],"possible":[131],"improvements":[132],"plans":[134],"further":[136],"research.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
