{"id":"https://openalex.org/W4368232627","doi":"https://doi.org/10.1109/tce.2023.3269071","title":"A Twin Learning Framework for Traveling Salesman Problem Based on Autoencoder, Graph Filter, and Transfer Learning","display_name":"A Twin Learning Framework for Traveling Salesman Problem Based on Autoencoder, Graph Filter, and Transfer Learning","publication_year":2023,"publication_date":"2023-05-03","ids":{"openalex":"https://openalex.org/W4368232627","doi":"https://doi.org/10.1109/tce.2023.3269071"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3269071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3269071","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5091167458","display_name":"Junjun Wu","orcid":"https://orcid.org/0000-0003-2955-1407"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjun Wu","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008981906","display_name":"Hanshi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanshi Yang","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084819547","display_name":"Yan Zeng","orcid":"https://orcid.org/0000-0002-5496-4468"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zeng","raw_affiliation_strings":["School of Civil Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086911362","display_name":"Zhou Wu","orcid":"https://orcid.org/0000-0002-8980-4210"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Wu","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001079640","display_name":"Jiepeng Liu","orcid":"https://orcid.org/0000-0002-4485-6420"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiepeng Liu","raw_affiliation_strings":["School of Civil Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051395807","display_name":"Liang Feng","orcid":"https://orcid.org/0000-0002-8356-7242"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Feng","raw_affiliation_strings":["School of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091167458"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":2.0765,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87640117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":"1","first_page":"3245","last_page":"3258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.991599977016449,"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":0.991599977016449,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9879000186920166,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9667999744415283,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.7184699773788452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6322207450866699},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5470120310783386},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4554826617240906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44609737396240234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37608256936073303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31708192825317383},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2667553722858429}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7184699773788452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322207450866699},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5470120310783386},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4554826617240906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44609737396240234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37608256936073303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31708192825317383},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2667553722858429},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3269071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3269071","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2318763470","display_name":null,"funder_award_id":"52178271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2749460446","display_name":null,"funder_award_id":"52077213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7180536332","display_name":null,"funder_award_id":"2022CDJKYJH034","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1538597521","https://openalex.org/W1985697265","https://openalex.org/W1988770671","https://openalex.org/W1997156721","https://openalex.org/W2069024107","https://openalex.org/W2069657950","https://openalex.org/W2107747280","https://openalex.org/W2131741071","https://openalex.org/W2163345210","https://openalex.org/W2165698076","https://openalex.org/W2166291722","https://openalex.org/W2171098336","https://openalex.org/W2187232753","https://openalex.org/W2210407830","https://openalex.org/W2413527939","https://openalex.org/W2507011368","https://openalex.org/W2583603977","https://openalex.org/W2591182809","https://openalex.org/W2591997370","https://openalex.org/W2593169517","https://openalex.org/W2617269183","https://openalex.org/W2774634965","https://openalex.org/W2802952265","https://openalex.org/W2810440851","https://openalex.org/W2869396925","https://openalex.org/W2885329136","https://openalex.org/W2891906936","https://openalex.org/W2930154544","https://openalex.org/W2940385553","https://openalex.org/W2942886379","https://openalex.org/W3003532379","https://openalex.org/W3010321770","https://openalex.org/W3014847873","https://openalex.org/W3106416641","https://openalex.org/W3107359062","https://openalex.org/W3109303815","https://openalex.org/W3136471436","https://openalex.org/W3150675349","https://openalex.org/W3174809957","https://openalex.org/W6780052409"],"related_works":["https://openalex.org/W1525389557","https://openalex.org/W2361554335","https://openalex.org/W2164188042","https://openalex.org/W2359992618","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W4306878646","https://openalex.org/W2054495636","https://openalex.org/W2031913815"],"abstract_inverted_index":{"Efficient":[0],"solvers":[1],"for":[2,26,171],"traveling":[3],"salesman":[4],"problem":[5],"(TSP)":[6],"have":[7],"great":[8],"significance":[9],"in":[10,34],"the":[11,35,42,64,68,72,77,94,97,101,111,115,125,138,141,146,188],"field":[12],"of":[13,67,96,140,145,190],"consumer":[14],"electronic":[15],"systems":[16],"and":[17,23,53,71,162],"devices.":[18],"Existing":[19],"studies":[20,153],"require":[21],"independent":[22],"repetitive":[24],"runs":[25],"similar":[27,40],"TSPs.":[28],"To":[29],"utilize":[30],"useful":[31],"knowledge":[32],"buried":[33],"twin":[36,46,78,85,103,112,126],"TSP":[37,157],"which":[38,129],"is":[39,56,148,183],"to":[41,62,75,114,135,185],"target":[43,73,98,116],"TSP,":[44],"a":[45,84,89,107,163,174],"learning":[47,106,127,164],"framework":[48],"based":[49,87],"on":[50,88],"task":[51,74,86,99,104,113],"matching":[52],"mapping":[54,108,132],"strategy":[55,131],"proposed.":[57],"We":[58],"use":[59],"an":[60],"autoencoder":[61],"extract":[63],"feature":[65],"vectors":[66],"historical":[69],"tasks":[70],"find":[76],"task.":[79,117],"If":[80],"not":[81],"found,":[82],"construct":[83],"graph-filter.":[90],"Further,":[91],"we":[92,119],"get":[93],"solution":[95],"with":[100,154],"optimized":[102],"by":[105],"matrix":[109],"from":[110],"Finally,":[118],"incorporate":[120],"local":[121],"search":[122],"algorithms":[123,161],"into":[124],"framework,":[128],"called":[130],"solver":[133],"(SMS)":[134],"further":[136,186],"improve":[137],"quality":[139],"solution.":[142],"The":[143],"efficacy":[144,189],"SMS":[147],"evaluated":[149],"through":[150],"comprehensive":[151],"empirical":[152],"commonly":[155],"used":[156],"benchmarks,":[158],"against":[159],"meta-heuristic":[160],"improvement":[165],"heuristics":[166],"algorithm,":[167],"demonstrating":[168],"its":[169],"effectiveness":[170],"TSP.":[172],"Moreover,":[173],"real-world":[175],"combinatorial":[176],"optimization":[177],"application,":[178],"laser":[179],"engraving":[180],"path":[181],"planning,":[182],"presented":[184],"confirm":[187],"SMS.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
