{"id":"https://openalex.org/W4311212929","doi":"https://doi.org/10.1007/s10489-022-04304-7","title":"A stepped tabu search method for the clique partitioning problem","display_name":"A stepped tabu search method for the clique partitioning problem","publication_year":2022,"publication_date":"2022-12-03","ids":{"openalex":"https://openalex.org/W4311212929","doi":"https://doi.org/10.1007/s10489-022-04304-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-04304-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04304-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04304-7.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04304-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037671968","display_name":"Joaqu\u0131\u0301n Pacheco","orcid":"https://orcid.org/0000-0002-7462-8680"},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Joaqu\u00edn A. Pacheco","raw_affiliation_strings":["University of Burgos, Burgos, Spain"],"raw_orcid":"https://orcid.org/0000-0002-7462-8680","affiliations":[{"raw_affiliation_string":"University of Burgos, Burgos, Spain","institution_ids":["https://openalex.org/I46176106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104092629","display_name":"Silvia Casado","orcid":null},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Silvia Casado","raw_affiliation_strings":["University of Burgos, Burgos, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Burgos, Burgos, Spain","institution_ids":["https://openalex.org/I46176106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037671968"],"corresponding_institution_ids":["https://openalex.org/I46176106"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.5951,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68506219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"53","issue":"12","first_page":"16275","last_page":"16292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12176","display_name":"Optimization and Packing Problems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/tabu-search","display_name":"Tabu search","score":0.8241764307022095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514077425003052},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.6733577847480774},{"id":"https://openalex.org/keywords/clique-problem","display_name":"Clique problem","score":0.6097238659858704},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5040118098258972},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.46706753969192505},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45515793561935425},{"id":"https://openalex.org/keywords/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.4268551170825958},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38674086332321167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36454224586486816},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3291436433792114},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.299127995967865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17888346314430237},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.07127362489700317},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.07040080428123474}],"concepts":[{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.8241764307022095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514077425003052},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.6733577847480774},{"id":"https://openalex.org/C150997102","wikidata":"https://www.wikidata.org/wiki/Q1196873","display_name":"Clique problem","level":5,"score":0.6097238659858704},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5040118098258972},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.46706753969192505},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45515793561935425},{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.4268551170825958},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38674086332321167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36454224586486816},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3291436433792114},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.299127995967865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17888346314430237},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.07127362489700317},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.07040080428123474},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-022-04304-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04304-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04304-7.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:riubu.ubu.es:10259/7402","is_oa":true,"landing_page_url":"http://hdl.handle.net/10259/7402","pdf_url":"https://riubu.ubu.es/bitstream/10259/7402/1/Pacheco-ain_2022.pdf","source":{"id":"https://openalex.org/S4306400051","display_name":"Repositorio Institucional de la Universidad de Burgos (University of Burgos)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I46176106","host_organization_name":"Universidad de Burgos","host_organization_lineage":["https://openalex.org/I46176106"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10489-022-04304-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04304-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04304-7.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4470326002","display_name":null,"funder_award_id":"BU056P20","funder_id":"https://openalex.org/F4320325114","funder_display_name":"Consejer\u00eda de Educaci\u00f3n, Junta de Castilla y Le\u00f3n"},{"id":"https://openalex.org/G5762277637","display_name":null,"funder_award_id":"PID2019-104263RB-C44 and PDC2021-121021-C22","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8684520763","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320325114","display_name":"Consejer\u00eda de Educaci\u00f3n, Junta de Castilla y Le\u00f3n","ror":"https://ror.org/02s8dab97"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":"https://ror.org/003x0zc53"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311212929.pdf","grobid_xml":"https://content.openalex.org/works/W4311212929.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W15820958","https://openalex.org/W83446654","https://openalex.org/W2037016941","https://openalex.org/W2043154233","https://openalex.org/W2076193235","https://openalex.org/W2081768921","https://openalex.org/W2086807722","https://openalex.org/W2147570870","https://openalex.org/W2395714141","https://openalex.org/W2598820717","https://openalex.org/W2944316805","https://openalex.org/W3012248467","https://openalex.org/W3012937529","https://openalex.org/W3074152315","https://openalex.org/W3091717038","https://openalex.org/W3130949779","https://openalex.org/W3188043379","https://openalex.org/W4211250195","https://openalex.org/W4212899374"],"related_works":["https://openalex.org/W2945250619","https://openalex.org/W2743392340","https://openalex.org/W1489014294","https://openalex.org/W2918291539","https://openalex.org/W2211760951","https://openalex.org/W2940838630","https://openalex.org/W4311212929","https://openalex.org/W1996872016","https://openalex.org/W3012447874","https://openalex.org/W2036313802"],"abstract_inverted_index":{"Abstract":[0],"Given":[1],"an":[2,73],"undirected":[3],"graph,":[4],"a":[5,8,61,105],"clique":[6,48],"is":[7,17,46,72,122],"subset":[9,27],"of":[10,23,25,43,54,58,60,67,119,134,162,167],"vertices":[11,24,59],"in":[12,32,165],"which":[13,52,131],"the":[14,47,56,64,100,135,160,168],"induced":[15],"subgraph":[16],"complete;":[18],"that":[19,108,123,142],"is,":[20],"all":[21],"pairs":[22],"this":[26,152],"are":[28,34],"adjacent.":[29],"Clique":[30],"problems":[31,45],"graphs":[33],"very":[35],"important":[36],"due":[37],"to":[38,128],"their":[39],"numerous":[40],"applications.":[41],"One":[42],"these":[44,163],"partitioning":[49],"problem":[50,75],"(CPP),":[51],"consists":[53],"dividing":[55],"set":[57],"graph":[62],"into":[63],"smallest":[65],"number":[66],"cliques":[68],"possible.":[69],"The":[70,115,138],"CPP":[71],"NP-hard":[74],"with":[76,112],"many":[77],"application":[78],"fields":[79],"(timetabling,":[80],"manufacturing,":[81],"scheduling,":[82],"telecommunications,":[83],"etc.).":[84],"Despite":[85],"its":[86],"great":[87],"applicability,":[88],"few":[89],"recent":[90],"studies":[91],"have":[92],"focused":[93],"on":[94],"proposing":[95],"specific":[96],"resolution":[97,106],"methods":[98,149,164],"for":[99,151],"CPP.":[101],"This":[102],"article":[103],"presents":[104],"method":[107,121,144,157],"combines":[109],"multistart":[110],"strategies":[111],"tabu":[113],"search.":[114],"most":[116,166],"novel":[117],"characteristic":[118],"our":[120,143,156],"it":[124],"allows":[125],"unfeasible":[126],"solutions":[127],"be":[129],"visited,":[130],"facilitates":[132],"exploration":[133],"solution":[136],"space.":[137],"computational":[139],"tests":[140],"show":[141],"performs":[145],"better":[146],"than":[147],"previous":[148],"proposed":[150],"problem.":[153],"In":[154],"fact,":[155],"strictly":[158],"improves":[159],"results":[161],"instances":[169],"considered":[170],"while":[171],"requiring":[172],"less":[173],"computation":[174],"time.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2022-12-24T00:00:00"}
