{"id":"https://openalex.org/W7165736219","doi":"https://doi.org/10.1016/j.ins.2026.123817","title":"Inertia-based strategy updating rule design for congestion games and its application to NFV networks","display_name":"Inertia-based strategy updating rule design for congestion games and its application to NFV networks","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7165736219","doi":"https://doi.org/10.1016/j.ins.2026.123817"},"language":"en","primary_location":{"id":"doi:10.1016/j.ins.2026.123817","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2026.123817","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.ins.2026.123817","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015810817","display_name":"Kaichen Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaichen Jiang","raw_affiliation_strings":["Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China"],"raw_orcid":"https://orcid.org/0009-0007-1771-2169","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047889","display_name":"Yi-Xiang Wang","orcid":"https://orcid.org/0000-0001-5697-0717"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhuan Wang","raw_affiliation_strings":["Institute of Mathematics, School of Science, Hebei University of Technology, Tianjin, 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, School of Science, Hebei University of Technology, Tianjin, 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038302290","display_name":"Yuyue Yan","orcid":"https://orcid.org/0000-0002-5509-4599"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuyue Yan","raw_affiliation_strings":["Department of Information Physics and Computing, The University of Tokyo, Tokyo, 113-8656, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Physics and Computing, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086402395","display_name":"C L Li","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxi Li","raw_affiliation_strings":["School of Mathematics, Shandong University, Jinan, 250100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Shandong University, Jinan, 250100, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060911223","display_name":"Yuhu Wu","orcid":"https://orcid.org/0000-0001-9317-1404"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhu Wu","raw_affiliation_strings":["Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China"],"raw_orcid":"https://orcid.org/0000-0001-9317-1404","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038302290","https://openalex.org/A5060911223"],"corresponding_institution_ids":["https://openalex.org/I27357992","https://openalex.org/I74801974"],"apc_list":{"value":3330,"currency":"USD","value_usd":3330},"apc_paid":{"value":3330,"currency":"USD","value_usd":3330},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80720573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"755","issue":null,"first_page":"123817","last_page":"123817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.26460000872612,"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"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.26460000872612,"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"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.2199999988079071,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.040699999779462814,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6739000082015991},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5454999804496765},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.46700000762939453},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.43209999799728394},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.4187999963760376},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.41280001401901245},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.3578999936580658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558000087738037},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6739000082015991},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5454999804496765},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5248000025749207},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.46700000762939453},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.43209999799728394},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.4187999963760376},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.41280001401901245},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C147220207","wikidata":"https://www.wikidata.org/wiki/Q773073","display_name":"Vickrey\u2013Clarke\u2013Groves auction","level":4,"score":0.31119999289512634},{"id":"https://openalex.org/C123650614","wikidata":"https://www.wikidata.org/wiki/Q282491","display_name":"Strategic dominance","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ins.2026.123817","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2026.123817","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Sciences","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.ins.2026.123817","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2026.123817","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G261480248","display_name":null,"funder_award_id":"U24A20263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8399136562","display_name":null,"funder_award_id":"62595804","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":43,"referenced_works":["https://openalex.org/W2054129049","https://openalex.org/W2087486726","https://openalex.org/W2093123841","https://openalex.org/W2098467864","https://openalex.org/W2102736491","https://openalex.org/W2118994458","https://openalex.org/W2120013974","https://openalex.org/W2126776273","https://openalex.org/W2342397732","https://openalex.org/W2344632855","https://openalex.org/W2504432759","https://openalex.org/W2540486267","https://openalex.org/W2581172747","https://openalex.org/W2591171693","https://openalex.org/W2810102121","https://openalex.org/W2962944255","https://openalex.org/W2981398825","https://openalex.org/W2985368953","https://openalex.org/W2995716012","https://openalex.org/W3022321359","https://openalex.org/W3024570293","https://openalex.org/W3045623514","https://openalex.org/W3111286324","https://openalex.org/W3123073578","https://openalex.org/W3137879217","https://openalex.org/W3172715706","https://openalex.org/W3189938971","https://openalex.org/W3192297496","https://openalex.org/W3194097490","https://openalex.org/W3211102054","https://openalex.org/W4229441291","https://openalex.org/W4317038453","https://openalex.org/W4385741136","https://openalex.org/W4390659234","https://openalex.org/W4393207121","https://openalex.org/W4394967176","https://openalex.org/W4396667086","https://openalex.org/W4396817453","https://openalex.org/W4404520463","https://openalex.org/W4405505634","https://openalex.org/W4406521027","https://openalex.org/W7140160257","https://openalex.org/W7148692719"],"related_works":[],"abstract_inverted_index":{"The":[0,129],"myopic":[1],"best-response":[2,40,93,118],"adjustment":[3,41],"is":[4,34,162],"a":[5,29,43,54],"strategy":[6,22,31,119,124],"updating":[7,32],"rule":[8,33,131],"frequently":[9],"employed":[10],"in":[11,125],"evolutionary":[12],"congestion":[13,82,105],"games.":[14],"Adopting":[15],"this":[16,27],"rule,":[17,50],"however,":[18],"may":[19],"need":[20],"precise":[21],"information":[23,75],"of":[24,61,139,151,157,172],"players.":[25],"In":[26,47],"paper,":[28],"novel":[30],"proposed":[35,49,130],"by":[36],"combining":[37],"the":[38,48,59,81,85,96,103,109,115,122,126,137,143,149,165,170,173],"classical":[39],"and":[42],"designed":[44],"time-varying":[45,99],"inertia.":[46,152],"we":[51,89],"first":[52],"consider":[53,90],"prediction":[55],"mechanism":[56],"that":[57,108],"utilizes":[58],"frequency":[60],"selected":[62],"resources":[63],"rather":[64],"than":[65],"players\u2019":[66],"individual":[67],"strategies,":[68],"derived":[69],"from":[70],"any":[71],"given":[72],"limited-length":[73],"historical":[74],"on":[76,102],"past":[77],"stages,":[78],"to":[79,114,136,168],"predict":[80],"vector":[83,106],"for":[84,95],"next":[86,127],"stage.":[87,128],"Furthermore,":[88],"an":[91],"inertia-based":[92],"dynamics":[94],"players":[97,110],"with":[98,148],"inertia":[100],"based":[101],"predicted":[104],"so":[107],"can":[111,145],"either":[112],"jump":[113],"corresponding":[116],"likely":[117],"or":[120],"keep":[121],"previous":[123],"guarantees":[132],"almost":[133],"sure":[134],"convergence":[135,144],"set":[138],"Nash":[140],"equilibria":[141],"where":[142],"be":[146],"examined":[147],"value":[150],"A":[153],"server":[154],"allocation":[155],"problem":[156],"network":[158],"functions":[159],"virtualization":[160],"(NFV)":[161],"used":[163],"as":[164],"numerical":[166],"example":[167],"verify":[169],"validity":[171],"results.":[174]},"counts_by_year":[],"updated_date":"2026-07-18T05:51:51.687321","created_date":"2026-06-25T00:00:00"}
