{"id":"https:\/\/openalex.org\/W4396982287","doi":"https:\/\/doi.org\/10.1109\/tai.2024.3402193","title":"Scalable Learning for Multiagent Route Planning: Adapting to Diverse Task Scales","display_name":"Scalable Learning for Multiagent Route Planning: Adapting to Diverse Task Scales","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https:\/\/openalex.org\/W4396982287","doi":"https:\/\/doi.org\/10.1109\/tai.2024.3402193"},"language":"en","primary_location":{"id":"doi:10.1109\/tai.2024.3402193","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/tai.2024.3402193","pdf_url":null,"source":{"id":"https:\/\/openalex.org\/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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\/A5113210353","display_name":"Site Qu","orcid":"https:\/\/orcid.org\/0000-0003-1565-0340"},"institutions":[{"id":"https:\/\/openalex.org\/I172675005","display_name":"Nanyang Technological University","ror":"https:\/\/ror.org\/02e7b5302","country_code":"SG","type":"education","lineage":["https:\/\/openalex.org\/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Site Qu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https:\/\/openalex.org\/I172675005"]}]},{"author_position":"last","author":{"id":"https:\/\/openalex.org\/A5050664552","display_name":"Guoqiang Hu","orcid":"https:\/\/orcid.org\/0000-0002-8618-5581"},"institutions":[{"id":"https:\/\/openalex.org\/I172675005","display_name":"Nanyang Technological University","ror":"https:\/\/ror.org\/02e7b5302","country_code":"SG","type":"education","lineage":["https:\/\/openalex.org\/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guoqiang Hu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https:\/\/openalex.org\/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https:\/\/openalex.org\/A5113210353"],"corresponding_institution_ids":["https:\/\/openalex.org\/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.6909,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73494551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"5","issue":"10","first_page":"4996","last_page":"5011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https:\/\/openalex.org\/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9573000073432922,"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"}},"topics":[{"id":"https:\/\/openalex.org\/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9573000073432922,"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\/T12203","display_name":"Mobile Agent-Based Network Management","score":0.9121999740600586,"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"}}],"keywords":[{"id":"https:\/\/openalex.org\/keywords\/scalability","display_name":"Scalability","score":0.7156491279602051},{"id":"https:\/\/openalex.org\/keywords\/task","display_name":"Task (project management)","score":0.6689298748970032},{"id":"https:\/\/openalex.org\/keywords\/computer-science","display_name":"Computer science","score":0.6484948396682739},{"id":"https:\/\/openalex.org\/keywords\/distributed-computing","display_name":"Distributed computing","score":0.4062612056732178},{"id":"https:\/\/openalex.org\/keywords\/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3799118399620056},{"id":"https:\/\/openalex.org\/keywords\/data-science","display_name":"Data science","score":0.34209680557250977},{"id":"https:\/\/openalex.org\/keywords\/systems-engineering","display_name":"Systems engineering","score":0.17826640605926514},{"id":"https:\/\/openalex.org\/keywords\/engineering","display_name":"Engineering","score":0.14617088437080383},{"id":"https:\/\/openalex.org\/keywords\/database","display_name":"Database","score":0.08484932780265808}],"concepts":[{"id":"https:\/\/openalex.org\/C48044578","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q727490","display_name":"Scalability","level":2,"score":0.7156491279602051},{"id":"https:\/\/openalex.org\/C2780451532","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q759676","display_name":"Task (project management)","level":2,"score":0.6689298748970032},{"id":"https:\/\/openalex.org\/C41008148","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q21198","display_name":"Computer science","level":0,"score":0.6484948396682739},{"id":"https:\/\/openalex.org\/C120314980","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q180634","display_name":"Distributed computing","level":1,"score":0.4062612056732178},{"id":"https:\/\/openalex.org\/C107457646","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3799118399620056},{"id":"https:\/\/openalex.org\/C2522767166","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q2374463","display_name":"Data science","level":1,"score":0.34209680557250977},{"id":"https:\/\/openalex.org\/C201995342","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q682496","display_name":"Systems engineering","level":1,"score":0.17826640605926514},{"id":"https:\/\/openalex.org\/C127413603","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q11023","display_name":"Engineering","level":0,"score":0.14617088437080383},{"id":"https:\/\/openalex.org\/C77088390","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q8513","display_name":"Database","level":1,"score":0.08484932780265808}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109\/tai.2024.3402193","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/tai.2024.3402193","pdf_url":null,"source":{"id":"https:\/\/openalex.org\/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https:\/\/openalex.org\/F4320320709","display_name":"National Research Foundation Singapore","ror":"https:\/\/ror.org\/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https:\/\/openalex.org\/W1582017793","https:\/\/openalex.org\/W1663519530","https:\/\/openalex.org\/W1970402125","https:\/\/openalex.org\/W1999161039","https:\/\/openalex.org\/W2052257324","https:\/\/openalex.org\/W2055539533","https:\/\/openalex.org\/W2116341502","https:\/\/openalex.org\/W2119601963","https:\/\/openalex.org\/W2119717200","https:\/\/openalex.org\/W2120930954","https:\/\/openalex.org\/W2238200137","https:\/\/openalex.org\/W2800580079","https:\/\/openalex.org\/W2922429874","https:\/\/openalex.org\/W2951846985","https:\/\/openalex.org\/W2952332632","https:\/\/openalex.org\/W2990626178","https:\/\/openalex.org\/W2999537755","https:\/\/openalex.org\/W3010321770","https:\/\/openalex.org\/W3028001875","https:\/\/openalex.org\/W3123445821","https:\/\/openalex.org\/W3129246858","https:\/\/openalex.org\/W3157164925","https:\/\/openalex.org\/W3180008386","https:\/\/openalex.org\/W3199468096","https:\/\/openalex.org\/W3199469541","https:\/\/openalex.org\/W3205832574","https:\/\/openalex.org\/W3214111786","https:\/\/openalex.org\/W3214868035","https:\/\/openalex.org\/W4210581684","https:\/\/openalex.org\/W4226053965","https:\/\/openalex.org\/W4252801674","https:\/\/openalex.org\/W4285483767","https:\/\/openalex.org\/W4297733535","https:\/\/openalex.org\/W4313678757","https:\/\/openalex.org\/W4320734012","https:\/\/openalex.org\/W4381730133","https:\/\/openalex.org\/W4385245566","https:\/\/openalex.org\/W4393160633","https:\/\/openalex.org\/W6725207838","https:\/\/openalex.org\/W6730742100","https:\/\/openalex.org\/W6739439883","https:\/\/openalex.org\/W6748487558","https:\/\/openalex.org\/W6758687306","https:\/\/openalex.org\/W6760302811","https:\/\/openalex.org\/W6762840543","https:\/\/openalex.org\/W6770961093","https:\/\/openalex.org\/W6771561114","https:\/\/openalex.org\/W6778101208","https:\/\/openalex.org\/W6785065334","https:\/\/openalex.org\/W6798458556","https:\/\/openalex.org\/W6802180043","https:\/\/openalex.org\/W6839596350","https:\/\/openalex.org\/W6846240978","https:\/\/openalex.org\/W6864424756","https:\/\/openalex.org\/W6941249815","https:\/\/openalex.org\/W6992908378"],"related_works":["https:\/\/openalex.org\/W2389214306","https:\/\/openalex.org\/W4235240664","https:\/\/openalex.org\/W1982914007","https:\/\/openalex.org\/W2159583675","https:\/\/openalex.org\/W1824242903","https:\/\/openalex.org\/W1493858311","https:\/\/openalex.org\/W2155470929","https:\/\/openalex.org\/W2394465510","https:\/\/openalex.org\/W2111125783","https:\/\/openalex.org\/W3196817267"],"abstract_inverted_index":{"When":[0],"utilizing":[1],"end-to-end":[2],"learn-to-construct":[3],"methods":[4],"to":[5,27,34,39,57,62,105,152,171],"solve":[6],"routing":[7,119],"problems":[8],"for":[9,18,51,110,127,180],"multiagent":[10],"systems,":[11],"the":[12,23,36,40,48,73,103,116,122,160,176,185],"model":[13,37,49,104,141],"is":[14,82],"usually":[15],"trained":[16,50,156,191],"individually":[17,155,190],"different":[19,64],"problem":[20,112,120,128,208],"scales":[21,129,209],"(i.e.,":[22],"number":[24],"of":[25,154],"customers":[26],"be":[28],"concurrently":[29],"served":[30],"within":[31],"a":[32,78,91,98],"map)":[33],"make":[35],"adaptive":[38],"corresponding":[41],"scale,":[42,65],"ensuring":[43],"good":[44],"solution":[45,144,163],"quality.":[46],"Otherwise,":[47],"one":[52],"specific":[53,182],"scale":[54,74],"can":[55,69,142],"lead":[56],"poor":[58],"performance":[59,147,205],"when":[60,72],"applied":[61],"another":[63],"and":[66,84,158,210],"this":[67,87],"situation":[68],"get":[70],"worse":[71],"discrepancy":[75],"increases.":[76],"Such":[77],"separate":[79,177],"training":[80,100,178],"strategy":[81],"inefficient":[83],"time-intensive.":[85],"In":[86],"article,":[88],"we":[89],"propose":[90],"mix-scale":[92],"learning":[93],"framework":[94],"that":[95],"requires":[96],"only":[97],"single":[99],"session,":[101],"enabling":[102],"effectively":[106,174],"plan":[107],"high-quality":[108],"routes":[109,145],"various":[111,207],"scales.":[113],"Based":[114],"on":[115,193],"capacitated":[117],"vehicle":[118],"(CVRP),":[121],"test":[123],"results":[124],"reveal":[125],"that:":[126],"which":[130,173],"are":[131],"no":[132],"matter":[133],"seen":[134],"or":[135,149],"unseen":[136],"during":[137],"training,":[138],"our":[139,201],"once-trained":[140,202],"produce":[143],"with":[146,165,189],"comparable":[148],"even":[150],"superior":[151],"those":[153],"models,":[157],"offer":[159],"highest":[161],"average":[162],"quality":[164],"improvement":[166],"ratio":[167],"ranging":[168],"from":[169,197],"2.28%":[170],"8.07%,":[172],"spares":[175],"session":[179],"each":[181],"scale.":[183],"Additionally,":[184],"extended":[186],"comparison":[187],"analysis":[188],"models":[192],"real-world":[194],"benchmark":[195],"dataset":[196],"CVRPLib":[198],"further":[199],"highlights":[200],"model's":[203],"generalization":[204],"across":[206],"diverse":[211],"node":[212],"distributions.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}