{"id":"https://openalex.org/W2103393500","doi":"https://doi.org/10.1109/isic.2010.5612909","title":"Generator of learning data for the TSPs based on the visiting order of the cities on convex hull","display_name":"Generator of learning data for the TSPs based on the visiting order of the cities on convex hull","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2103393500","doi":"https://doi.org/10.1109/isic.2010.5612909","mag":"2103393500"},"language":"en","primary_location":{"id":"doi:10.1109/isic.2010.5612909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isic.2010.5612909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Intelligent Control","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/A5016096637","display_name":"Akihiko Kawashima","orcid":"https://orcid.org/0000-0002-3755-5670"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akihiko Kawashima","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Japan","Graduate School of Engineering, Chiba Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Japan","institution_ids":["https://openalex.org/I159385669"]},{"raw_affiliation_string":"Graduate School of Engineering, Chiba Univ. (Japan)","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030780411","display_name":"Yasuo Sugai","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Sugai","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Japan","Graduate School of Engineering, Chiba Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Japan","institution_ids":["https://openalex.org/I159385669"]},{"raw_affiliation_string":"Graduate School of Engineering, Chiba Univ. (Japan)","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016096637"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21117318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2302","last_page":"2307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.8493337631225586},{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.7886383533477783},{"id":"https://openalex.org/keywords/hull","display_name":"Hull","score":0.7652087211608887},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5813722610473633},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5188301801681519},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4720920920372009},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46598950028419495},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4646989703178406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4580397307872772},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45558154582977295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4475496709346771},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4120672941207886},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13364070653915405}],"concepts":[{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.8493337631225586},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7886383533477783},{"id":"https://openalex.org/C37423430","wikidata":"https://www.wikidata.org/wiki/Q6750281","display_name":"Hull","level":2,"score":0.7652087211608887},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5813722610473633},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5188301801681519},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4720920920372009},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46598950028419495},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4646989703178406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4580397307872772},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45558154582977295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4475496709346771},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4120672941207886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13364070653915405},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isic.2010.5612909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isic.2010.5612909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Intelligent Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W249091067","https://openalex.org/W307896644","https://openalex.org/W1571087346","https://openalex.org/W1717440967","https://openalex.org/W1994863634","https://openalex.org/W2017708378","https://openalex.org/W2042986967","https://openalex.org/W2795679194","https://openalex.org/W2798065807","https://openalex.org/W3091934158","https://openalex.org/W4229972189","https://openalex.org/W6633936085","https://openalex.org/W6637497407","https://openalex.org/W6641404685"],"related_works":["https://openalex.org/W2467926385","https://openalex.org/W1525389557","https://openalex.org/W2893068807","https://openalex.org/W161301265","https://openalex.org/W2483619716","https://openalex.org/W4246461909","https://openalex.org/W2361554335","https://openalex.org/W2377576908","https://openalex.org/W2164188042","https://openalex.org/W2359992618"],"abstract_inverted_index":{"The":[0],"optimal":[1,118,126],"tours":[2],"of":[3,21,43,56,62,73,99,123],"the":[4,15,18,22,25,32,54,60,63,67,71,82,87,103,108,117,121,125],"traveling":[5],"salesman":[6],"problems(":[7],"TSPs)":[8],"in":[9,17,120],"two":[10],"dimensional":[11],"Euclidean":[12],"space":[13],"have":[14],"characteristics":[16],"visiting":[19],"order":[20],"cities":[23,64,74],"on":[24,29,66],"convex":[26,57,68],"hull.":[27],"Based":[28],"this":[30],"characteristics,":[31],"TSPs":[33,83],"can":[34],"be":[35,93],"replaced":[36],"into":[37,70],"some":[38],"shortest":[39],"Hamiltonian":[40],"path":[41],"problems(SHPPs)":[42],"which":[44,75,90,124],"solutions":[45],"assemble":[46],"a":[47],"tour.":[48],"This":[49,78],"reduction":[50],"is":[51],"enabled":[52],"by":[53],"calculation":[55],"hull":[58,69],"and":[59],"classification":[61,88],"not":[65],"subsets":[72],"construct":[76],"SHPPs.":[77],"procedure":[79],"means":[80],"that":[81,107],"are":[84,114],"equivalent":[85],"to":[86,92,95,102],"problems,":[89],"leads":[91],"able":[94],"apply":[96],"existing":[97],"methods":[98],"machine":[100,112],"learning":[101,113],"TSPs.":[104],"We":[105],"show":[106],"teaching":[109],"data":[110],"for":[111],"available":[115],"as":[116],"classifications":[119],"instances":[122],"tour":[127],"has":[128],"been":[129],"found.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
