{"id":"https://openalex.org/W4387914317","doi":"https://doi.org/10.1109/codit58514.2023.10284337","title":"Optimal Admission Control in Damper-Based Networks: Branch-and-Price Algorithm","display_name":"Optimal Admission Control in Damper-Based Networks: Branch-and-Price Algorithm","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4387914317","doi":"https://doi.org/10.1109/codit58514.2023.10284337"},"language":"en","primary_location":{"id":"doi:10.1109/codit58514.2023.10284337","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5059404081","display_name":"M. Yassine Naghmouchi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"M. Yassine Naghmouchi","raw_affiliation_strings":["Paris Research Center,Huawei Technologies,France","Huawei Technologies, Paris Research Center, France"],"affiliations":[{"raw_affiliation_string":"Paris Research Center,Huawei Technologies,France","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Huawei Technologies, Paris Research Center, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103055019","display_name":"Shoushou Ren","orcid":"https://orcid.org/0009-0003-8530-5259"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Shoushou Ren","raw_affiliation_strings":["Beijing Research Center,Huawei Technologies,China","Huawei Technologies, Beijing Research Center, China"],"affiliations":[{"raw_affiliation_string":"Beijing Research Center,Huawei Technologies,China","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]},{"raw_affiliation_string":"Huawei Technologies, Beijing Research Center, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081881036","display_name":"Paolo Medagliani","orcid":"https://orcid.org/0000-0001-8520-3664"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paolo Medagliani","raw_affiliation_strings":["Paris Research Center,Huawei Technologies,France","Huawei Technologies, Paris Research Center, France"],"affiliations":[{"raw_affiliation_string":"Paris Research Center,Huawei Technologies,France","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Huawei Technologies, Paris Research Center, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083892488","display_name":"S\u00e9bastien Martin","orcid":"https://orcid.org/0000-0002-8528-6698"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Martin","raw_affiliation_strings":["Paris Research Center,Huawei Technologies,France","Huawei Technologies, Paris Research Center, France"],"affiliations":[{"raw_affiliation_string":"Paris Research Center,Huawei Technologies,France","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Huawei Technologies, Paris Research Center, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045586541","display_name":"J\u00e9r\u00e9mie Leguay","orcid":"https://orcid.org/0000-0002-4670-6389"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J\u00e9r\u00e9mie Leguay","raw_affiliation_strings":["Paris Research Center,Huawei Technologies,France","Huawei Technologies, Paris Research Center, France"],"affiliations":[{"raw_affiliation_string":"Paris Research Center,Huawei Technologies,France","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Huawei Technologies, Paris Research Center, France","institution_ids":["https://openalex.org/I4210123571"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059404081"],"corresponding_institution_ids":["https://openalex.org/I4210123571"],"apc_list":null,"apc_paid":null,"fwci":0.4001,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63042947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"488","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9991999864578247,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9991999864578247,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9991999864578247,"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/T10847","display_name":"Advanced Optical Network Technologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7084285020828247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943951606750488},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5824770927429199},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5702689290046692},{"id":"https://openalex.org/keywords/linear-programming-relaxation","display_name":"Linear programming relaxation","score":0.5521480441093445},{"id":"https://openalex.org/keywords/column-generation","display_name":"Column generation","score":0.547429084777832},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.506433367729187},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4866112172603607},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.459623247385025},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.45535069704055786},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.43266749382019043},{"id":"https://openalex.org/keywords/branch-and-price","display_name":"Branch and price","score":0.4223824739456177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2691223919391632}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7084285020828247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943951606750488},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5824770927429199},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5702689290046692},{"id":"https://openalex.org/C25360446","wikidata":"https://www.wikidata.org/wiki/Q1512771","display_name":"Linear programming relaxation","level":3,"score":0.5521480441093445},{"id":"https://openalex.org/C168956720","wikidata":"https://www.wikidata.org/wiki/Q3123181","display_name":"Column generation","level":2,"score":0.547429084777832},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.506433367729187},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4866112172603607},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.459623247385025},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.45535069704055786},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.43266749382019043},{"id":"https://openalex.org/C123558587","wikidata":"https://www.wikidata.org/wiki/Q4956382","display_name":"Branch and price","level":3,"score":0.4223824739456177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2691223919391632},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit58514.2023.10284337","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W163173263","https://openalex.org/W1480704642","https://openalex.org/W1488078399","https://openalex.org/W1489247635","https://openalex.org/W1576264942","https://openalex.org/W1979729479","https://openalex.org/W1983665547","https://openalex.org/W2063317370","https://openalex.org/W2135848737","https://openalex.org/W2140409200","https://openalex.org/W2144013501","https://openalex.org/W2147206873","https://openalex.org/W2489492730","https://openalex.org/W2805857400","https://openalex.org/W2945765515","https://openalex.org/W2962855623","https://openalex.org/W3020493494","https://openalex.org/W3096478460","https://openalex.org/W3168336207","https://openalex.org/W4310614634","https://openalex.org/W6628805814","https://openalex.org/W6629292553","https://openalex.org/W6634429791","https://openalex.org/W6641093950","https://openalex.org/W6762578814","https://openalex.org/W6823226208"],"related_works":["https://openalex.org/W4302819359","https://openalex.org/W4252122881","https://openalex.org/W2009796757","https://openalex.org/W2769220156","https://openalex.org/W2911906655","https://openalex.org/W2769538987","https://openalex.org/W134055995","https://openalex.org/W4300803591","https://openalex.org/W2167580124","https://openalex.org/W4210880521"],"abstract_inverted_index":{"This":[0,85,192],"paper":[1,86],"presents":[2],"a":[3,27,35,68,102,121,127,138,181,201],"study":[4],"of":[5,17,30,38,70,190],"the":[6,44,71,96,109,148,152,159,169,177],"optimal":[7,53,213],"Admission":[8],"Control":[9],"in":[10,19],"Damper-based":[11],"Networks":[12],"(ACDN)":[13],"problem.":[14,98],"The":[15,63,99,112],"use":[16],"dampers":[18],"large-scale":[20],"networks":[21],"is":[22,67,101,106,114,124,155],"becoming":[23],"increasingly":[24],"beneficial":[25],"for":[26,46,119,203,215],"wide":[28],"range":[29],"applications":[31],"as":[32],"it":[33],"provides":[34],"reliable":[36],"means":[37],"achieving":[39],"deterministic":[40],"delay":[41],"guarantees":[42],"without":[43],"need":[45],"synchronization":[47],"between":[48],"routers.":[49],"In":[50],"this":[51],"context,":[52],"admission":[54],"control":[55],"solutions":[56,214],"are":[57],"required":[58],"to":[59,81,94,210],"fully":[60],"utilize":[61],"capacity.":[62],"problem":[64],"being":[65],"studied":[66],"variant":[69],"Unsplittable":[72],"Multi-Commodity":[73],"Flow":[74],"(UMCF)":[75],"problem,":[76],"with":[77,185],"additional":[78],"constraints":[79],"related":[80],"forwarding":[82],"and":[83,135,176,207],"shaping.":[84],"proposes":[87],"two":[88],"Integer":[89],"Linear":[90],"Programming":[91],"(ILP)":[92],"formulations":[93],"address":[95],"ACDN":[97],"former":[100],"compact":[103,160],"formulation,":[104,118],"which":[105,120],"solved":[107],"using":[108,151,162],"CPLEX":[110],"solver.":[111],"latter":[113],"an":[115,131,186],"extended":[116],"path":[117,149,178],"Branch-and-Price":[122,153],"algorithm":[123,154,165],"developed,":[125],"including":[126],"column":[128],"generation":[129],"procedure,":[130],"efficient":[132],"branching":[133],"scheme,":[134],"reinforced":[136],"by":[137,167,174],"primal":[139],"heuristic.":[140],"Tests":[141],"on":[142],"realistic":[143],"instances":[144],"show":[145],"that":[146,199],"solving":[147,158],"formulation":[150,161,179],"better":[156],"than":[157],"CPLEX.":[163],"Our":[164],"divides":[166],"14":[168],"average":[170,187],"running":[171],"time":[172],"given":[173],"CPLEX,":[175],"gives":[180],"stronger":[182],"linear":[183],"relaxation":[184],"optimally":[188],"gap":[189],"0.3%.":[191],"work":[193],"builds":[194],"upon":[195],"previous":[196],"research":[197],"[1]":[198],"developed":[200],"heuristic":[202],"finding":[204],"near-optimal":[205],"solutions,":[206],"instead":[208],"aims":[209],"find":[211],"exact":[212],"ACDN.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
