{"id":"https://openalex.org/W4385301560","doi":"https://doi.org/10.1109/iv55152.2023.10186562","title":"A Parallel Monte-Carlo Tree Search-Based Metaheuristic For Optimal Fleet Composition Considering Vehicle Routing Using Branch & Bound","display_name":"A Parallel Monte-Carlo Tree Search-Based Metaheuristic For Optimal Fleet Composition Considering Vehicle Routing Using Branch & Bound","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385301560","doi":"https://doi.org/10.1109/iv55152.2023.10186562"},"language":"en","primary_location":{"id":"doi:10.1109/iv55152.2023.10186562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","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/A5086314798","display_name":"T. M. J. T. Baltussen","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"T. M. J. T. Baltussen","raw_affiliation_strings":["The Ohio State University,Center for Automotive Research,Columbus,USA,OH 43212"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Center for Automotive Research,Columbus,USA,OH 43212","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024286974","display_name":"Mithun Goutham","orcid":"https://orcid.org/0000-0001-5789-7590"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Goutham","raw_affiliation_strings":["The Ohio State University,Center for Automotive Research,Columbus,USA,OH 43212"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Center for Automotive Research,Columbus,USA,OH 43212","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074199424","display_name":"M. Menon","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Menon","raw_affiliation_strings":["Ford Motor Company,Dearborn,USA,MI 48109"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company,Dearborn,USA,MI 48109","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027492210","display_name":"S. G. Garrow","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. G. Garrow","raw_affiliation_strings":["Ford Motor Company,Dearborn,USA,MI 48109"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company,Dearborn,USA,MI 48109","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057567049","display_name":"M. Santillo","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Santillo","raw_affiliation_strings":["Ford Motor Company,Dearborn,USA,MI 48109"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company,Dearborn,USA,MI 48109","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001185599","display_name":"S. Stockar","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Stockar","raw_affiliation_strings":["The Ohio State University,Center for Automotive Research,Columbus,USA,OH 43212"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Center for Automotive Research,Columbus,USA,OH 43212","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5086314798"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":1.2478,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82253771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9991999864578247,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9991999864578247,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12176","display_name":"Optimization and Packing Problems","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.7864600419998169},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6586015224456787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6542271375656128},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6267305612564087},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.6163345575332642},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6099358201026917},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5009021759033203},{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.5006656646728516},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4910416603088379},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4711250960826874},{"id":"https://openalex.org/keywords/parallel-metaheuristic","display_name":"Parallel metaheuristic","score":0.4697839319705963},{"id":"https://openalex.org/keywords/branch-and-bound","display_name":"Branch and bound","score":0.4454805254936218},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4160534143447876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33190807700157166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1935836672782898},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.07720676064491272}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7864600419998169},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6586015224456787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542271375656128},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6267305612564087},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.6163345575332642},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6099358201026917},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5009021759033203},{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.5006656646728516},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4910416603088379},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4711250960826874},{"id":"https://openalex.org/C28767586","wikidata":"https://www.wikidata.org/wiki/Q7135006","display_name":"Parallel metaheuristic","level":4,"score":0.4697839319705963},{"id":"https://openalex.org/C93693863","wikidata":"https://www.wikidata.org/wiki/Q897659","display_name":"Branch and bound","level":2,"score":0.4454805254936218},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4160534143447876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33190807700157166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1935836672782898},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.07720676064491272},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55152.2023.10186562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307103","display_name":"Ford Motor Company","ror":"https://ror.org/00g2tkw06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W132403231","https://openalex.org/W1041767927","https://openalex.org/W1625390266","https://openalex.org/W2063520056","https://openalex.org/W2118044993","https://openalex.org/W2126316555","https://openalex.org/W2257979135","https://openalex.org/W2478623436","https://openalex.org/W2573637607","https://openalex.org/W2991484603","https://openalex.org/W2996796639","https://openalex.org/W3035109483","https://openalex.org/W3048851762","https://openalex.org/W3092206546","https://openalex.org/W3134469931","https://openalex.org/W3156138784","https://openalex.org/W3196485901","https://openalex.org/W4285796263","https://openalex.org/W4314945944","https://openalex.org/W4320187725","https://openalex.org/W6627156349","https://openalex.org/W6850030001"],"related_works":["https://openalex.org/W1611875833","https://openalex.org/W4236055036","https://openalex.org/W4381955442","https://openalex.org/W2462483068","https://openalex.org/W3157253652","https://openalex.org/W1968397678","https://openalex.org/W4367557724","https://openalex.org/W2996796639","https://openalex.org/W1547053391","https://openalex.org/W4382044826"],"abstract_inverted_index":{"Autonomous":[0],"mobile":[1],"robots":[2,19],"enable":[3],"increased":[4],"flexibility":[5],"of":[6,14,18,23],"manufacturing":[7],"systems.":[8],"The":[9,67,96],"design":[10],"and":[11,26,58,69,122],"operating":[12],"strategy":[13],"such":[15],"a":[16,32,42,75,100],"fleet":[17,102],"requires":[20],"careful":[21],"consideration":[22],"both":[24],"fixed":[25],"operational":[27],"costs.":[28],"In":[29],"this":[30],"paper,":[31],"Monte-Carlo":[33],"Tree":[34],"Search":[35],"(MCTS)-based":[36],"metaheuristic":[37,68,82],"is":[38],"developed":[39],"that":[40,87,111],"guides":[41],"Branch":[43],"&":[44],"Bound":[45],"(B&B)":[46],"algorithm":[47,79],"to":[48,54,104,124],"find":[49],"the":[50,55,81,93,106,112,125],"globally":[51],"optimal":[52,126],"solution":[53],"Fleet":[56],"Size":[57],"Mix":[59],"Vehicle":[60],"Routing":[61],"Problem":[62],"with":[63],"Time":[64],"Windows":[65],"(FSMVRPTW).":[66],"exact":[70],"algorithms":[71],"are":[72],"implemented":[73],"in":[74,116,119],"parallel":[76],"hybrid":[77],"optimization":[78],"where":[80],"rapidly":[83],"finds":[84],"feasible":[85],"solutions":[86],"provide":[88],"candidate":[89,101],"upper":[90],"bounds":[91],"for":[92],"B&B":[94,107],"algorithm.":[95],"MCTS":[97],"additionally":[98],"provides":[99],"composition":[103],"initiate":[105],"search.":[108],"Experiments":[109],"show":[110],"proposed":[113],"approach":[114],"results":[115],"significant":[117],"improvements":[118],"computation":[120],"time":[121],"convergence":[123],"solution.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2023-07-28T00:00:00"}