{"id":"https://openalex.org/W2154472728","doi":"https://doi.org/10.1109/nabic.2010.5716362","title":"Two-phase heuristic for Capacitated Vehicle Routing Problem","display_name":"Two-phase heuristic for Capacitated Vehicle Routing Problem","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2154472728","doi":"https://doi.org/10.1109/nabic.2010.5716362","mag":"2154472728"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2010.5716362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103066299","display_name":"Hai Shen","orcid":"https://orcid.org/0000-0003-2426-8397"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I32399674","display_name":"Shenyang Normal University","ror":"https://ror.org/05cdfgm80","country_code":"CN","type":"education","lineage":["https://openalex.org/I32399674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Shen","raw_affiliation_strings":["College of Physics Science and Technology, Shenyang Normal University, Shenyang, China","Graduate School of the Chinese Academy of Sciences, Beijing, China","Key Laboratory of Industrial Informatics, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics Science and Technology, Shenyang Normal University, Shenyang, China","institution_ids":["https://openalex.org/I32399674"]},{"raw_affiliation_string":"Graduate School of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Industrial Informatics, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114929525","display_name":"Yunlong Zhu","orcid":"https://orcid.org/0000-0003-1736-8285"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Zhu","raw_affiliation_strings":["Key Laboratory of Industrial Informatics, Chinese Academy of Sciences, Shenyang, China","Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Informatics, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781249","display_name":"Jin Li","orcid":"https://orcid.org/0000-0002-0260-3169"},"institutions":[{"id":"https://openalex.org/I135836153","display_name":"Shenyang Agricultural University","ror":"https://ror.org/01n7x9n08","country_code":"CN","type":"education","lineage":["https://openalex.org/I135836153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jin","raw_affiliation_strings":["Shenyang Agricultural University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Agricultural University, Shenyang, China","institution_ids":["https://openalex.org/I135836153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086770912","display_name":"Wenping Zou","orcid":"https://orcid.org/0000-0002-9537-6419"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Zou","raw_affiliation_strings":["Graduate School of the Chinese Academy of Sciences, Beijing, China","Key Laboratory of Industrial Informatics, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Industrial Informatics, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9038,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7543538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"534","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9945999979972839,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.9187948703765869},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7384206652641296},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7383836507797241},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5744175910949707},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5507501363754272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5442992448806763},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5027246475219727},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.49831652641296387},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4890021085739136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36626869440078735},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3407439589500427}],"concepts":[{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.9187948703765869},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7384206652641296},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7383836507797241},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5744175910949707},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5507501363754272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5442992448806763},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5027246475219727},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.49831652641296387},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4890021085739136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36626869440078735},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3407439589500427},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2010.5716362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W161389394","https://openalex.org/W577294059","https://openalex.org/W1487820669","https://openalex.org/W1487871107","https://openalex.org/W1488405589","https://openalex.org/W1497256448","https://openalex.org/W1501435780","https://openalex.org/W1506097523","https://openalex.org/W1507019246","https://openalex.org/W1521114792","https://openalex.org/W1529063576","https://openalex.org/W1601649239","https://openalex.org/W2003344763","https://openalex.org/W2005605234","https://openalex.org/W2005944398","https://openalex.org/W2009561534","https://openalex.org/W2015057142","https://openalex.org/W2029681015","https://openalex.org/W2043155988","https://openalex.org/W2056880022","https://openalex.org/W2065398238","https://openalex.org/W2069973745","https://openalex.org/W2076990639","https://openalex.org/W2080427200","https://openalex.org/W2098532420","https://openalex.org/W2111563176","https://openalex.org/W2114939271","https://openalex.org/W2122566658","https://openalex.org/W2152648572","https://openalex.org/W2246680151","https://openalex.org/W3124761179","https://openalex.org/W6629129815","https://openalex.org/W6629970544","https://openalex.org/W6691125851"],"related_works":["https://openalex.org/W2018691209","https://openalex.org/W4312143452","https://openalex.org/W4247364272","https://openalex.org/W3133151256","https://openalex.org/W2075768550","https://openalex.org/W2017649536","https://openalex.org/W1990067406","https://openalex.org/W2135709899","https://openalex.org/W2078544498","https://openalex.org/W2006096198"],"abstract_inverted_index":{"Vehicle":[0,15],"Routing":[1,16],"Problem":[2,17],"(VRP)":[3],"is":[4,26,40],"a":[5,24,34,96],"NP-complete":[6],"problem":[7],"and":[8],"has":[9,45],"important":[10],"practical":[11],"value.":[12],"The":[13,42,111],"Capacitated":[14],"(CVRP)":[18],"constrained":[19],"by":[20],"the":[21,27,53,65,73,80,92,105,108,116,120,123],"capacity":[22],"of":[23,29,77,84,98,107,119,122],"vehicle":[25],"extension":[28],"VRP.":[30],"In":[31],"this":[32],"paper,":[33],"two-phase":[35,88],"heuristic":[36,44,89],"to":[37,63,103],"address":[38],"CVRP":[39,93],"proposed.":[41],"proposed":[43,109],"two":[46],"stages.":[47],"First,":[48],"search":[49,61,86],"feasible":[50],"solution":[51,67,118],"in":[52,68],"global":[54,74],"scope":[55],"using":[56],"GA.":[57],"Second,":[58],"employ":[59],"local":[60,69,85],"method":[62],"seeking":[64],"close-to-optimal":[66],"scope.":[70],"Through":[71],"combining":[72],"optimization":[75],"ability":[76],"GA":[78],"with":[79],"probability":[81],"sudden":[82],"jumping":[83],"algorithm,":[87],"can":[90,126],"solve":[91],"effectively.":[94],"Furthermore,":[95],"set":[97],"well-known":[99],"benchmarks":[100],"were":[101],"utilized":[102],"verify":[104],"performance":[106],"heuristic.":[110],"experimental":[112],"results":[113],"show":[114],"that":[115],"best-so-far":[117],"most":[121],"test":[124],"instances":[125],"be":[127],"found.":[128]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
