{"id":"https://openalex.org/W1997171895","doi":"https://doi.org/10.1002/tee.20620","title":"An efficient preprocessing method for suboptimal route computation","display_name":"An efficient preprocessing method for suboptimal route computation","publication_year":2010,"publication_date":"2010-11-29","ids":{"openalex":"https://openalex.org/W1997171895","doi":"https://doi.org/10.1002/tee.20620","mag":"1997171895"},"language":"en","primary_location":{"id":"doi:10.1002/tee.20620","doi":"https://doi.org/10.1002/tee.20620","is_oa":false,"landing_page_url":"https://doi.org/10.1002/tee.20620","pdf_url":null,"source":{"id":"https://openalex.org/S10731693","display_name":"IEEJ Transactions on Electrical and Electronic Engineering","issn_l":"1931-4973","issn":["1931-4973","1931-4981"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEJ Transactions on Electrical and Electronic Engineering","raw_type":"journal-article"},"volume":null,"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/A5102002142","display_name":"Feng Wen","orcid":"https://orcid.org/0000-0002-2955-3771","observed_orcids":["https://orcid.org/0000-0002-2955-3771"]},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]},{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Feng Wen","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Kitakyushu-shi, Fukuoka-ken 808-0135, Japan","School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Kitakyushu-shi, Fukuoka-ken 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037937808","display_name":"Shingo Mabu","orcid":"https://orcid.org/0000-0002-8759-8337","observed_orcids":["https://orcid.org/0000-0002-8759-8337"]},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shingo Mabu","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Kitakyushu-shi, Fukuoka-ken 808-0135, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Kitakyushu-shi, Fukuoka-ken 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013008417","display_name":"Kotaro Hirasawa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kotaro Hirasawa","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Kitakyushu-shi, Fukuoka-ken 808-0135, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Kitakyushu-shi, Fukuoka-ken 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013008417"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":{"value":2900,"currency":"USD","value_usd":2900},"apc_paid":null,"fwci":3.8888,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93365349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"S1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.13850000500679016,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.05849999934434891,"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/multilevel-networks","display_name":"multilevel networks","score":0.796999990940094},{"id":"https://openalex.org/keywords/spatial-data","display_name":"geospatial data","score":0.6579999923706055},{"id":"https://openalex.org/keywords/network-clustering","display_name":"network clustering","score":0.48500001430511475}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7448374629020691},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7361828088760376},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6843911409378052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567827463150024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6289966702461243},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.48358315229415894},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.43673253059387207},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.42017948627471924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3195618987083435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1875990927219391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18352127075195312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15323621034622192},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/tee.20620","doi":"https://doi.org/10.1002/tee.20620","is_oa":false,"landing_page_url":"https://doi.org/10.1002/tee.20620","pdf_url":null,"source":{"id":"https://openalex.org/S10731693","display_name":"IEEJ Transactions on Electrical and Electronic Engineering","issn_l":"1931-4973","issn":["1931-4973","1931-4981"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEJ Transactions on Electrical and Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":1.0},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6783000230789185}],"sustainable_development_goals_aurora":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4300000071525574}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322638","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W199328542","https://openalex.org/W589517181","https://openalex.org/W633205017","https://openalex.org/W1493454437","https://openalex.org/W1507047212","https://openalex.org/W1538399680","https://openalex.org/W1565902586","https://openalex.org/W1971470866","https://openalex.org/W1976084561","https://openalex.org/W2032299564","https://openalex.org/W2094651025","https://openalex.org/W2126105956","https://openalex.org/W2127971792","https://openalex.org/W4234142891"],"related_works":["https://openalex.org/W1981874284","https://openalex.org/W2099087168","https://openalex.org/W2735997113","https://openalex.org/W2104792260","https://openalex.org/W1976084561","https://openalex.org/W2296434927","https://openalex.org/W1728103948","https://openalex.org/W1980783380","https://openalex.org/W2047224504","https://openalex.org/W2065107044"],"abstract_inverted_index":{"Abstract":[0],"In":[1,61],"this":[2],"paper,":[3],"an":[4],"effective":[5],"genetic\u2010based":[6],"clustering":[7,72],"algorithm":[8],"(GCA)":[9],"is":[10,54],"proposed":[11,63,85],"to":[12,69,93],"preprocess":[13],"the":[14,24,31,51,58,62,71,79,84,90,97],"road":[15,52],"network":[16,20,53,81],"into":[17],"a":[18],"multilevel":[19,32,59,80],"that":[21],"can":[22,37],"reduce":[23],"route":[25,34],"computation":[26,35],"time":[27],"substantially.":[28],"Based":[29],"on":[30,78],"network,":[33],"algorithms":[36],"provide":[38],"suboptimal":[39],"routes":[40],"with":[41,89],"little":[42],"loss":[43],"of":[44,50,102,105],"accuracy":[45],"(LOA).":[46],"The":[47],"geographic":[48],"information":[49],"considered":[55,68],"when":[56],"constructing":[57],"network.":[60],"GCA,":[64],"three":[65],"criteria":[66],"are":[67,87],"evaluate":[70],"results.":[73],"Route":[74],"calculation":[75],"results":[76],"based":[77],"constructed":[82],"by":[83,108],"GCA":[86],"compared":[88],"recent":[91],"research":[92],"analyze":[94],"and":[95],"quantify":[96],"LOA.":[98],"\u00a9":[99],"2010":[100],"Institute":[101],"Electrical":[103],"Engineers":[104],"Japan.":[106],"Published":[107],"John":[109],"Wiley":[110],"&":[111],"Sons,":[112],"Inc.":[113]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}