{"id":"https://openalex.org/W2995613083","doi":"https://doi.org/10.1109/tase.2019.2952920","title":"Cell-Based Local Search Heuristics for Guide Path Design of Automated Guided Vehicle Systems With Dynamic Multicommodity Flow","display_name":"Cell-Based Local Search Heuristics for Guide Path Design of Automated Guided Vehicle Systems With Dynamic Multicommodity Flow","publication_year":2019,"publication_date":"2019-12-13","ids":{"openalex":"https://openalex.org/W2995613083","doi":"https://doi.org/10.1109/tase.2019.2952920","mag":"2995613083"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2019.2952920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2019.2952920","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5033193171","display_name":"Tatsushi Nishi","orcid":"https://orcid.org/0000-0003-1354-3939"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tatsushi Nishi","raw_affiliation_strings":["Department of Systems Innovation, Division of Mathematical Science for Social Systems, Graduate School of Engineering Science, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, Division of Mathematical Science for Social Systems, Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017800928","display_name":"Shuhei Akiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuhei Akiyama","raw_affiliation_strings":["Department of Systems Innovation, Division of Mathematical Science for Social Systems, Graduate School of Engineering Science, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, Division of Mathematical Science for Social Systems, Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106031500","display_name":"Toshimitsu Higashi","orcid":"https://orcid.org/0000-0003-2907-1200"},"institutions":[{"id":"https://openalex.org/I127787398","display_name":"Murata Machinery (Japan)","ror":"https://ror.org/02n1mtw77","country_code":"JP","type":"company","lineage":["https://openalex.org/I127787398"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshimitsu Higashi","raw_affiliation_strings":["Murata Machinery, Ltd., Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Murata Machinery, Ltd., Kyoto, Japan","institution_ids":["https://openalex.org/I127787398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013048932","display_name":"Kenji Kumagai","orcid":"https://orcid.org/0000-0002-8553-3206"},"institutions":[{"id":"https://openalex.org/I127787398","display_name":"Murata Machinery (Japan)","ror":"https://ror.org/02n1mtw77","country_code":"JP","type":"company","lineage":["https://openalex.org/I127787398"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Kumagai","raw_affiliation_strings":["Murata Machinery, Ltd., Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Murata Machinery, Ltd., Kyoto, Japan","institution_ids":["https://openalex.org/I127787398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033193171"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":2.828,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92089256,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"2","first_page":"966","last_page":"980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":1.0,"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":1.0,"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":0.9980999827384949,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9966999888420105,"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/heuristics","display_name":"Heuristics","score":0.741805374622345},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7087534666061401},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6074109673500061},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5811888575553894},{"id":"https://openalex.org/keywords/multi-commodity-flow-problem","display_name":"Multi-commodity flow problem","score":0.5611156821250916},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4962170720100403},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4776115119457245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44310829043388367},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4261462092399597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32862961292266846}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.741805374622345},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7087534666061401},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6074109673500061},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5811888575553894},{"id":"https://openalex.org/C170334043","wikidata":"https://www.wikidata.org/wiki/Q6934437","display_name":"Multi-commodity flow problem","level":3,"score":0.5611156821250916},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4962170720100403},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4776115119457245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44310829043388367},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4261462092399597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32862961292266846},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2019.2952920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2019.2952920","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G5804545048","display_name":null,"funder_award_id":"17K18951","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1503979119","https://openalex.org/W1524077745","https://openalex.org/W1977043349","https://openalex.org/W1977456855","https://openalex.org/W1977946823","https://openalex.org/W1985405670","https://openalex.org/W2001111292","https://openalex.org/W2003160050","https://openalex.org/W2006009715","https://openalex.org/W2007103430","https://openalex.org/W2021709881","https://openalex.org/W2022377049","https://openalex.org/W2040546139","https://openalex.org/W2042069957","https://openalex.org/W2042342424","https://openalex.org/W2044466649","https://openalex.org/W2045524187","https://openalex.org/W2058664371","https://openalex.org/W2082549655","https://openalex.org/W2084951638","https://openalex.org/W2097800777","https://openalex.org/W2101255840","https://openalex.org/W2112568714","https://openalex.org/W2116839129","https://openalex.org/W2132893088","https://openalex.org/W2145493798","https://openalex.org/W2153406083","https://openalex.org/W2161081508","https://openalex.org/W2161644760","https://openalex.org/W2164163287","https://openalex.org/W2170354462","https://openalex.org/W2209279209","https://openalex.org/W2470319613","https://openalex.org/W2737966930","https://openalex.org/W2746378258","https://openalex.org/W2786631760","https://openalex.org/W2792852692","https://openalex.org/W3134493930","https://openalex.org/W6749497883"],"related_works":["https://openalex.org/W4231500168","https://openalex.org/W90079504","https://openalex.org/W2032436423","https://openalex.org/W3141113327","https://openalex.org/W3035974271","https://openalex.org/W1561045713","https://openalex.org/W2374451529","https://openalex.org/W2069541586","https://openalex.org/W1553098308","https://openalex.org/W2080904092"],"abstract_inverted_index":{"This":[0],"article":[1],"discusses":[2],"the":[3,40,68,71,90,102,108,119,122,128,158,161],"guide":[4,44,72],"path":[5,45,73],"design":[6,148],"of":[7,42,50,82,93,101,111,115,121,127,160],"automated":[8],"guided":[9],"vehicle":[10],"(AGV)":[11],"systems":[12],"for":[13,143],"which":[14],"we":[15],"propose":[16],"a":[17,21,29,32,43,47,79,94,137],"model":[18],"that":[19,57],"incorporates":[20],"dynamic":[22,95],"multicommodity":[23,96,146],"flow":[24,97],"with":[25,136],"capacity":[26],"constraints":[27,88],"from":[28],"pickup":[30],"to":[31,118,156],"delivery":[33],"point.":[34],"The":[35,99,125],"problem":[36],"is":[37,58,65,74,105,131,154],"formulated":[38],"as":[39],"selection":[41],"connecting":[46],"given":[48],"set":[49],"pickup/delivery":[51],"points.":[52],"A":[53,150],"cell-based":[54,83],"local":[55,80],"search":[56,81,85,116],"based":[59,77],"on":[60,78],"an":[61],"original":[62],"neighborhood":[63,84],"technique":[64],"developed.":[66],"In":[67],"proposed":[69,103,129,162],"method,":[70],"effectively":[75],"optimized":[76],"preserving":[86],"connectivity":[87],"and":[89,113,140],"subsequent":[91],"solution":[92],"problem.":[98],"performance":[100],"method":[104,130,163],"strengthened":[106],"by":[107,133,164],"redundant":[109],"elimination":[110],"arcs":[112],"intensification":[114],"according":[117],"concept":[120],"flow-concentrated":[123],"cell.":[124],"effectiveness":[126],"demonstrated":[132],"comparing":[134],"it":[135],"general-purpose":[138],"solver":[139],"recent":[141],"algorithms":[142],"fixed-charge":[144],"capacitated":[145],"network":[147],"problems.":[149],"real":[151],"case":[152],"study":[153],"presented":[155],"demonstrate":[157],"applicability":[159],"using":[165],"simulation":[166],"software.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}