{"id":"https://openalex.org/W4407374277","doi":"https://doi.org/10.1108/dta-11-2023-0788","title":"An efficient local search algorithm for the maximum <i>k</i>-vertex cover problem","display_name":"An efficient local search algorithm for the maximum <i>k</i>-vertex cover problem","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4407374277","doi":"https://doi.org/10.1108/dta-11-2023-0788"},"language":"en","primary_location":{"id":"doi:10.1108/dta-11-2023-0788","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-11-2023-0788","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","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/A5100760521","display_name":"Ruizhi Li","orcid":"https://orcid.org/0000-0003-2915-8242"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhi Li","raw_affiliation_strings":["Jilin University of Finance and Economics, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2915-8242","affiliations":[{"raw_affiliation_string":"Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fangzhou Wang","orcid":"https://orcid.org/0009-0003-0407-6387"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzhou Wang","raw_affiliation_strings":["Jilin University of Finance and Economics, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0003-0407-6387","affiliations":[{"raw_affiliation_string":"Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390236","display_name":"Siqi Liu","orcid":"https://orcid.org/0000-0002-4675-5498"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Liu","raw_affiliation_strings":["Jilin University of Finance and Economics, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026266925","display_name":"Ruiqi Xu","orcid":"https://orcid.org/0009-0007-7269-9155"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Xu","raw_affiliation_strings":["Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023555343","display_name":"Minghao Yin","orcid":"https://orcid.org/0000-0002-6226-2394"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Yin","raw_affiliation_strings":["Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-6226-2394","affiliations":[{"raw_affiliation_string":"Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075636055","display_name":"Shuli Hu","orcid":"https://orcid.org/0000-0003-3073-4219"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuli Hu","raw_affiliation_strings":["Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-3073-4219","affiliations":[{"raw_affiliation_string":"Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02942648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"2","first_page":"362","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10374","display_name":"Advanced Graph Theory Research","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vertex-cover","display_name":"Vertex cover","score":0.7619092464447021},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.6309736371040344},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5468515753746033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5285709500312805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4125858545303345},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.36525192856788635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3546932339668274},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.17655819654464722},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.1249254047870636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09664273262023926}],"concepts":[{"id":"https://openalex.org/C40687702","wikidata":"https://www.wikidata.org/wiki/Q11515519","display_name":"Vertex cover","level":3,"score":0.7619092464447021},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6309736371040344},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5468515753746033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5285709500312805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4125858545303345},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.36525192856788635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3546932339668274},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.17655819654464722},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.1249254047870636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09664273262023926},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-11-2023-0788","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-11-2023-0788","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W158111280","https://openalex.org/W1505245505","https://openalex.org/W1509289098","https://openalex.org/W1518653692","https://openalex.org/W1597165385","https://openalex.org/W1963831867","https://openalex.org/W2004617458","https://openalex.org/W2004973717","https://openalex.org/W2038777942","https://openalex.org/W2059451253","https://openalex.org/W2122448854","https://openalex.org/W2251648435","https://openalex.org/W2355949336","https://openalex.org/W2401610261","https://openalex.org/W2509952555","https://openalex.org/W2513955757","https://openalex.org/W2739688939","https://openalex.org/W2762976654","https://openalex.org/W2897300971","https://openalex.org/W2921542279","https://openalex.org/W2982407508","https://openalex.org/W2998631884","https://openalex.org/W3035072211","https://openalex.org/W3087425921","https://openalex.org/W3112921827","https://openalex.org/W3175748667","https://openalex.org/W3177307174","https://openalex.org/W3179231948","https://openalex.org/W4224239360","https://openalex.org/W4232464786","https://openalex.org/W4285171291","https://openalex.org/W4290791706","https://openalex.org/W4297917825","https://openalex.org/W4298148588","https://openalex.org/W4308515102","https://openalex.org/W4309903464","https://openalex.org/W4312411460","https://openalex.org/W4313400736","https://openalex.org/W4386629740","https://openalex.org/W4388824121"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2051487156","https://openalex.org/W1566660502","https://openalex.org/W2156896570","https://openalex.org/W2073681303","https://openalex.org/W4232403550","https://openalex.org/W623607250","https://openalex.org/W2036594069","https://openalex.org/W4245429118","https://openalex.org/W3111310291"],"abstract_inverted_index":{"Purpose":[0],"Maximum":[1],"k":[2,226,269,293],"vertex":[3,68],"cover":[4,228,271,295],"problem":[5,11,115,229,282],"is":[6,62,152,177],"a":[7],"significant":[8],"combinatorial":[9],"optimization":[10],"with":[12,154,238],"various":[13],"applications,":[14],"such":[15],"as":[16],"transportation":[17],"planning,":[18],"social":[19],"networks":[20],"and":[21,127,142,159,167,182,187,192,213,235],"sensor":[22],"placement.":[23],"Up":[24],"to":[25,34,42,64,180,290,299,309],"now,":[26],"no":[27],"practical":[28],"algorithm":[29,48,150,158,176,195],"has":[30,95],"ever":[31],"been":[32,248],"proposed":[33,63,149],"solve":[35],"this":[36,39,300,311],"problem.":[37,272,296],"Therefore,":[38],"paper":[40],"aims":[41],"present":[43],"an":[44],"efficient":[45],"local":[46],"search":[47],"LSKVC":[49,151,175,194],"combining":[50],"three":[51],"methods":[52],"for":[53,250,277],"it.":[54],"Design/methodology/approach":[55],"First,":[56],"the":[57,66,84,87,99,106,113,118,123,137,140,145,155,160,171,174,188,193,200,210,221,224,251,264,267,278,291],"quick":[58],"incremental":[59],"evaluation":[60],"method":[61,90,121],"update":[65],"related":[67,253],"scores":[69],"following":[70],"each":[71],"addition":[72],"or":[73],"removal":[74,101],"incrementally":[75],"rather":[76,131],"than":[77,132],"recalculating":[78],"them,":[79],"which":[80,110,134],"can":[81,111,135],"speed":[82],"up":[83],"algorithm.":[85,146],"Second,":[86],"configuration":[88,94],"checking":[89],"forbids":[91],"vertices":[92,129],"whose":[93],"not":[96,284],"changed":[97],"since":[98],"last":[100],"from":[102],"being":[103],"added":[104],"into":[105],"candidate":[107],"solution":[108],"again,":[109],"avoid":[112],"cycling":[114],"effectively.":[116],"Third,":[117],"two-stage":[119],"exchange":[120],"swaps":[122],"pairs":[124],"of":[125,144,209,241,266],"inside":[126],"outside":[128],"separately":[130],"simultaneously,":[133],"guarantee":[136],"tradeoff":[138],"between":[139],"accuracy":[141],"complexity":[143],"Findings":[147],"The":[148],"compared":[153],"traditional":[156],"GRASP":[157,181,198],"well-known":[161],"commercial":[162],"solver":[163,190],"CPLEX":[164,183,189],"on":[165,184,199,223],"DIMACS":[166,185],"BHOSLIB":[168,201],"benchmarks.":[169],"For":[170],"best":[172],"solutions,":[173],"significantly":[178],"superior":[179],"instances":[186],"fails,":[191],"slightly":[196],"outperforms":[197],"instances.":[202],"In":[203,218,297],"addition,":[204],"we":[205,302],"undertake":[206],"comparative":[207],"studies":[208],"offered":[211],"methodologies":[212],"demonstrate":[214],"their":[215],"efficacy.":[216],"Originality/value":[217],"previous":[219],"research,":[220],"focus":[222],"maximum":[225,268,292],"-vertex":[227,270,294],"primarily":[230],"centered":[231],"around":[232],"exact":[233],"algorithms":[234,246,275],"approximation":[236],"algorithms,":[237],"limited":[239,261],"application":[240,262],"heuristic":[242,245],"algorithms.":[243],"While":[244],"have":[247,259,303],"well-explored":[249],"closely":[252],"Minimum":[254,279],"Vertex":[255,280],"Cover":[256,281],"problem,":[257],"they":[258],"seen":[260],"in":[263],"context":[265],"Consequently,":[273],"existing":[274],"designed":[276],"do":[283],"exhibit":[285],"satisfactory":[286],"performance":[287],"when":[288],"applied":[289],"response":[298],"challenge,":[301],"undertaken":[304],"algorithmic":[305],"improvements":[306],"specifically":[307],"tailored":[308],"address":[310],"issue.":[312]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}