{"id":"https://openalex.org/W4294691643","doi":"https://doi.org/10.1109/tcyb.2022.3199147","title":"NuSC: An Effective Local Search Algorithm for Solving the Set Covering Problem","display_name":"NuSC: An Effective Local Search Algorithm for Solving the Set Covering Problem","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4294691643","doi":"https://doi.org/10.1109/tcyb.2022.3199147","pmid":"https://pubmed.ncbi.nlm.nih.gov/36063511"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3199147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3199147","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5006894386","display_name":"Chuan Luo","orcid":"https://orcid.org/0000-0001-5028-1064"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuan Luo","raw_affiliation_strings":["School of Software, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5028-1064","affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075019976","display_name":"Wenqian Xing","orcid":"https://orcid.org/0000-0002-2859-2840"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenqian Xing","raw_affiliation_strings":["Department of Industrial Engineering and Operations Research, Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-2859-2840","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Operations Research, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077138780","display_name":"Shaowei Cai","orcid":"https://orcid.org/0000-0003-1730-6922"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowei Cai","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1730-6922","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028857237","display_name":"Chunming Hu","orcid":"https://orcid.org/0000-0003-3473-9703"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunming Hu","raw_affiliation_strings":["School of Software, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3473-9703","affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006894386"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":3.2529,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9225357,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"54","issue":"3","first_page":"1403","last_page":"1416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9988999962806702,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996399998664856,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013296484947205},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.6088859438896179},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5414772629737854},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5252425670623779},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4989960193634033},{"id":"https://openalex.org/keywords/iterated-local-search","display_name":"Iterated local search","score":0.4811047911643982},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.4605518877506256},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45636671781539917},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45607924461364746},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44546663761138916},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.41909411549568176},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4097742736339569},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2893838584423065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19147023558616638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013296484947205},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.6088859438896179},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5414772629737854},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5252425670623779},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4989960193634033},{"id":"https://openalex.org/C124145224","wikidata":"https://www.wikidata.org/wiki/Q6094397","display_name":"Iterated local search","level":3,"score":0.4811047911643982},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4605518877506256},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45636671781539917},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45607924461364746},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44546663761138916},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.41909411549568176},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4097742736339569},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2893838584423065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19147023558616638},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3199147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3199147","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:36063511","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36063511","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3378278483","display_name":null,"funder_award_id":"62202025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3642641767","display_name":null,"funder_award_id":"62122078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W39785869","https://openalex.org/W103650626","https://openalex.org/W257818446","https://openalex.org/W1506255457","https://openalex.org/W1539964999","https://openalex.org/W1567821231","https://openalex.org/W1571472016","https://openalex.org/W1574451223","https://openalex.org/W1608080587","https://openalex.org/W1832231257","https://openalex.org/W1913543287","https://openalex.org/W1917814591","https://openalex.org/W1968074599","https://openalex.org/W1977723771","https://openalex.org/W2001363586","https://openalex.org/W2006751452","https://openalex.org/W2016929496","https://openalex.org/W2019216770","https://openalex.org/W2033405689","https://openalex.org/W2034107192","https://openalex.org/W2034749903","https://openalex.org/W2039862033","https://openalex.org/W2045425602","https://openalex.org/W2049967755","https://openalex.org/W2058919894","https://openalex.org/W2064209160","https://openalex.org/W2069729403","https://openalex.org/W2086958842","https://openalex.org/W2088188524","https://openalex.org/W2094716844","https://openalex.org/W2095030926","https://openalex.org/W2096090773","https://openalex.org/W2099813847","https://openalex.org/W2104670598","https://openalex.org/W2117839333","https://openalex.org/W2120204384","https://openalex.org/W2126479983","https://openalex.org/W2131292691","https://openalex.org/W2134656724","https://openalex.org/W2156557985","https://openalex.org/W2157054705","https://openalex.org/W2167201389","https://openalex.org/W2185680923","https://openalex.org/W2245333128","https://openalex.org/W2252595579","https://openalex.org/W2401610261","https://openalex.org/W2421912678","https://openalex.org/W2484319280","https://openalex.org/W2549191282","https://openalex.org/W2607025790","https://openalex.org/W2607264901","https://openalex.org/W2739688939","https://openalex.org/W2748886520","https://openalex.org/W2884749649","https://openalex.org/W2885908482","https://openalex.org/W2895700336","https://openalex.org/W2945627032","https://openalex.org/W2949180570","https://openalex.org/W2949978034","https://openalex.org/W2964281756","https://openalex.org/W2968013531","https://openalex.org/W2995736486","https://openalex.org/W3037407807","https://openalex.org/W3038094279","https://openalex.org/W3081970017","https://openalex.org/W3128544032","https://openalex.org/W3143365187","https://openalex.org/W4206807714","https://openalex.org/W4229687523","https://openalex.org/W4246598646","https://openalex.org/W4255563095","https://openalex.org/W6644938210","https://openalex.org/W6675949385"],"related_works":["https://openalex.org/W2083844986","https://openalex.org/W2005660029","https://openalex.org/W2887485518","https://openalex.org/W2935342279","https://openalex.org/W1608676749","https://openalex.org/W1996453501","https://openalex.org/W4394238759","https://openalex.org/W1533229056","https://openalex.org/W4211243022","https://openalex.org/W90886653"],"abstract_inverted_index":{"The":[0],"set":[1],"covering":[2],"problem":[3,9],"(SCP)":[4],"is":[5,37],"a":[6,15,70,84,111,117,122],"fundamental":[7],"NP-hard":[8],"in":[10,97],"computer":[11],"science":[12],"and":[13,101,121,138],"has":[14],"broad":[16],"range":[17],"of":[18,32,38,140,159,175,180,189],"important":[19],"real-world":[20,28],"applications.":[21],"In":[22,65,80,132],"practice,":[23],"SCP":[24,160],"instances":[25],"transformed":[26],"from":[27],"applications":[29],"would":[30],"be":[31],"large":[33],"scale,":[34],"so":[35],"it":[36],"significant":[39],"importance":[40],"to":[41,126,134,149],"design":[42],"effective":[43,99],"heuristic":[44],"algorithms,":[45],"especially":[46],"local":[47,59,72],"search":[48,60,73,119],"ones.":[49],"However,":[50],"there":[51],"exist":[52],"only":[53],"few":[54],"research":[55],"works":[56],"on":[57,156,172],"developing":[58],"algorithms":[61],"for":[62,75,89,115],"solving":[63,76],"SCP.":[64],"this":[66],"article,":[67],"we":[68,145],"propose":[69],"new":[71,85],"algorithm":[74],"SCP,":[77],"dubbed":[78],"NuSC.":[79,181,194],"particular,":[81],"NuSC":[82,103,109,143,151,167],"introduces":[83],"combined":[86],"scoring":[87],"function":[88],"subset":[90,95],"selection,":[91],"which":[92],"combines":[93],"different":[94],"properties":[96],"an":[98],"way":[100],"helps":[102],"find":[104],"more":[105],"optimized":[106],"solutions.":[107],"Besides,":[108],"incorporates":[110],"dynamic":[112],"weighting":[113],"scheme":[114],"elements,":[116],"tabu":[118],"strategy,":[120],"novelty":[123],"selection":[124],"mechanism":[125],"further":[127],"enhance":[128],"its":[129,170],"practical":[130],"performance.":[131],"order":[133],"study":[135],"the":[136,173,178,187],"effectiveness":[137,188],"robustness":[139],"our":[141,183],"proposed":[142],"algorithm,":[144],"conduct":[146],"extensive":[147],"experiments":[148],"compare":[150],"against":[152],"many":[153],"state-of-the-art":[154],"competitors":[155,171],"various":[157],"types":[158],"instances.":[161],"Our":[162],"experimental":[163],"results":[164],"demonstrate":[165],"that":[166],"significantly":[168],"outperforms":[169],"majority":[174],"instances,":[176],"indicating":[177],"superiority":[179],"Also,":[182],"empirical":[184],"evaluations":[185],"confirm":[186],"each":[190],"algorithmic":[191],"technique":[192],"underlying":[193]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
