{"id":"https://openalex.org/W2921542738","doi":"https://doi.org/10.5220/0007398502850293","title":"Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search","display_name":"Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921542738","doi":"https://doi.org/10.5220/0007398502850293","mag":"2921542738"},"language":"en","primary_location":{"id":"doi:10.5220/0007398502850293","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007398502850293","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007398502850293","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027486768","display_name":"A. van de Ven","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Arno van de Ven","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077147157","display_name":"Yingqian Zhang","orcid":"https://orcid.org/0000-0002-5073-0787"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yingqian Zhang","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018214840","display_name":"Wan-Jui Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I2802430469","display_name":"Nederlandse Spoorwegen","ror":"https://ror.org/01024mn06","country_code":"NL","type":"company","lineage":["https://openalex.org/I2802430469"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wan-Jui Lee","raw_affiliation_strings":["Maintenance Development, NS (Dutch Railways), Utrecht and The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maintenance Development, NS (Dutch Railways), Utrecht and The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I2802430469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007187430","display_name":"Rik Eshuis","orcid":"https://orcid.org/0000-0003-2314-7155"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rik Eshuis","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011946737","display_name":"Anna Wilbik","orcid":"https://orcid.org/0000-0002-1989-0301"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Anna Wilbik","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven and The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9431999921798706,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9431999921798706,"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/shunting","display_name":"Shunting","score":0.9206384420394897},{"id":"https://openalex.org/keywords/yard","display_name":"Yard","score":0.6403613686561584},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.6308736801147461},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6016621589660645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979382991790771},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5203901529312134},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4272812008857727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41054603457450867},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.34988516569137573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3343750238418579},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21337461471557617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20406001806259155},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1755734086036682}],"concepts":[{"id":"https://openalex.org/C197328160","wikidata":"https://www.wikidata.org/wiki/Q7505161","display_name":"Shunting","level":2,"score":0.9206384420394897},{"id":"https://openalex.org/C94026978","wikidata":"https://www.wikidata.org/wiki/Q482798","display_name":"Yard","level":2,"score":0.6403613686561584},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.6308736801147461},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6016621589660645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979382991790771},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5203901529312134},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4272812008857727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41054603457450867},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.34988516569137573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3343750238418579},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21337461471557617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20406001806259155},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1755734086036682},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.5220/0007398502850293","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007398502850293","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire/ae9adbd7-e489-4d79-ad07-71794c4e9f15","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/ae9adbd7-e489-4d79-ad07-71794c4e9f15","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"van de Ven, A J G, Zhang, Y, Lee, W-J, Eshuis, H & Wilbik, A M 2019, Determining capacity of shunting yards by combining graph classification with local search. in L Steels, J van den Herik & A Rocha (eds), 11th International Conference on Agents and Artificial Intelligence (ICAART 2019). vol. 2, SciTePress Digital Library, pp. 285-293, 11th International Conference on Agents and Artificial Intelligence, ICAART 2019, Prague, Czech Republic, 19/02/19. https://doi.org/10.5220/0007398502850293","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:907367","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=907367","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:library.tue.nl:907367","is_oa":false,"landing_page_url":"http://repository.tue.nl/907367","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:tue:oai:pure.tue.nl:publications/ae9adbd7-e489-4d79-ad07-71794c4e9f15","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/ae9adbd7-e489-4d79-ad07-71794c4e9f15","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"11th International Conference on Agents and Artificial Intelligence (ICAART 2019), 2, 285 - 293","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/6bedb4ce-cdb2-42f7-b05b-33162b5468a3","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/6bedb4ce-cdb2-42f7-b05b-33162b5468a3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"STARTPAGE=285;ENDPAGE=293;TITLE=Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"doi:10.5220/0007398502850293","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007398502850293","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1179283095","https://openalex.org/W1557734215","https://openalex.org/W2102273843","https://openalex.org/W2139427944","https://openalex.org/W2142498761","https://openalex.org/W2154716504","https://openalex.org/W2163340078","https://openalex.org/W2187089797","https://openalex.org/W2562852522","https://openalex.org/W2788919350","https://openalex.org/W2846823501","https://openalex.org/W2909916020","https://openalex.org/W2964015378","https://openalex.org/W2964145825","https://openalex.org/W3103595226","https://openalex.org/W3212065872"],"related_works":["https://openalex.org/W368257512","https://openalex.org/W2348559642","https://openalex.org/W642971248","https://openalex.org/W4206359209","https://openalex.org/W2390290549","https://openalex.org/W4231259974","https://openalex.org/W561585953","https://openalex.org/W2936464706","https://openalex.org/W2400468474","https://openalex.org/W2381833808"],"abstract_inverted_index":{"<p>Dutch":[0],"Railways":[1],"(NS)":[2],"uses":[3],"a":[4,19,50,123,134,159],"shunt":[5,136],"plan":[6,137],"simulator":[7,17],"to":[8,15,35,47,69,78,127,172],"determine":[9],"capacities":[10],"of":[11,53,158],"shunting":[12,39,59,82,101,161],"yards.":[13],"Central":[14],"this":[16,24,65],"is":[18,28,122],"local":[20,74,90,130],"search":[21,75,91,131],"heuristic.":[22],"Solving":[23],"capacity":[25,45,86,157],"determination":[26,87],"problem":[27],"very":[29],"time":[30,153],"consuming,":[31],"as":[32,103],"it":[33],"requires":[34],"solve":[36],"an":[37,106,139,177],"NP-hard":[38],"planning":[40],"problem,":[41],"and":[42],"furthermore,":[43],"the":[44,85,94,100,115,151,156],"has":[46],"determined":[48],"for":[49],"large":[51],"number":[52],"possible":[54],"scenarios":[55],"at":[56],"over":[57],"30":[58],"yards":[60],"in":[61,76,84,105,154,176],"The":[62,89],"Netherlands.":[63],"In":[64],"paper,":[66],"we":[67,113],"propose":[68],"combine":[70],"machine":[71,167],"learning":[72,168],"with":[73,109],"order":[77],"speed":[79],"up":[80],"finding":[81],"plans":[83],"problem.":[88],"heuristic":[92],"models":[93],"activities":[95],"that":[96],"take":[97],"place":[98],"on":[99],"yard":[102],"nodes":[104],"activity":[107],"graph":[108,124],"precedence":[110],"relations.":[111],"Consequently,":[112],"apply":[114],"Deep":[116],"Graph":[117],"Convolutional":[118],"Neural":[119],"Network,":[120],"which":[121],"classification":[125],"method,":[126],"predict":[128],"whether":[129],"will":[132],"find":[133],"feasible":[135],"given":[138,160],"initial":[140],"solution.":[141],"Our":[142],"experimental":[143],"results":[144],"show":[145],"our":[146],"approach":[147],"can":[148,169],"significantly":[149],"reduce":[150],"simulation":[152],"determining":[155],"yard.":[162],"This":[163],"study":[164],"demonstrates":[165],"how":[166],"be":[170],"used":[171],"boost":[173],"optimization":[174],"algorithms":[175],"industrial":[178],"application.</p>":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}