{"id":"https://openalex.org/W2990722480","doi":"https://doi.org/10.1109/smc.2019.8914228","title":"Deep Learning for Bipartite Assignment Problems","display_name":"Deep Learning for Bipartite Assignment Problems","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990722480","doi":"https://doi.org/10.1109/smc.2019.8914228","mag":"2990722480"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","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/A5037416185","display_name":"Daniel Gibbons","orcid":null},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Daniel Gibbons","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Adelaide, South Australia, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Adelaide, South Australia, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023255651","display_name":"Cheng\u2010Chew Lim","orcid":"https://orcid.org/0000-0002-2463-9760"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Cheng-Chew Lim","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Adelaide, South Australia, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Adelaide, South Australia, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100739668","display_name":"Peng Shi","orcid":"https://orcid.org/0000-0001-8218-586X"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peng Shi","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Adelaide, South Australia, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Adelaide, South Australia, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037416185"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":0.6623,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.77584974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2318","last_page":"2325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9721999764442444,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9721999764442444,"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/T12288","display_name":"Optimization and Search Problems","score":0.9355000257492065,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9021999835968018,"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/bipartite-graph","display_name":"Bipartite graph","score":0.7961871027946472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6665739417076111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5437955856323242},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5113782286643982},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33380961418151855},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.075707346200943}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.7961871027946472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6665739417076111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5437955856323242},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5113782286643982},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33380961418151855},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.075707346200943}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/smc.2019.8914228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.vu.edu.au:41829","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/41829/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/121335","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/121335","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1191599655","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1946176756","https://openalex.org/W1975967782","https://openalex.org/W2053044298","https://openalex.org/W2064675550","https://openalex.org/W2139688603","https://openalex.org/W2145339207","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2507756961","https://openalex.org/W2617411258","https://openalex.org/W2753798143","https://openalex.org/W2805798351","https://openalex.org/W2949117887","https://openalex.org/W2952332632","https://openalex.org/W2963184621","https://openalex.org/W2963403868","https://openalex.org/W2964043796","https://openalex.org/W2964121744","https://openalex.org/W2964338167","https://openalex.org/W4385245566","https://openalex.org/W6627932998","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6640255469","https://openalex.org/W6684191040","https://openalex.org/W6692846177","https://openalex.org/W6713411898","https://openalex.org/W6725207838","https://openalex.org/W6730742100","https://openalex.org/W6738144653","https://openalex.org/W6739901393","https://openalex.org/W6744580074"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"Many":[0],"assignment":[1,29,64,76],"problems":[2],"cannot":[3],"be":[4],"solved":[5],"to":[6,14,55],"optimality":[7],"in":[8,99],"real-time.":[9],"The":[10],"existing":[11],"literature":[12],"tends":[13],"focus":[15],"on":[16,73],"the":[17,24,68,74],"development":[18],"of":[19,26,63,70],"handcrafted":[20],"heuristics":[21,58],"that":[22,37,52,92],"exploit":[23],"structure":[25],"a":[27,34,48,60],"particular":[28],"problem.":[30],"We":[31,66,84],"instead":[32],"seek":[33],"general-purpose":[35],"approach":[36,51,72,94],"can":[38],"automatically":[39,56],"learn":[40,57],"such":[41],"heuristics.":[42],"In":[43],"this":[44],"work,":[45],"we":[46],"present":[47],"deep":[49],"learning":[50],"is":[53,80],"designed":[54],"for":[59],"large":[61],"class":[62],"problems.":[65],"demonstrate":[67],"effectiveness":[69],"our":[71,93],"weapon-target":[75],"(WTA)":[77],"problem,":[78],"which":[79],"nonlinear":[81],"and":[82,90],"NP-complete.":[83],"take":[85],"non-trivial":[86],"WTA":[87],"problem":[88],"instances":[89],"show":[91],"reliably":[95],"finds":[96],"near-optimal":[97],"solutions":[98],"milliseconds.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}