{"id":"https://openalex.org/W3173399900","doi":"https://doi.org/10.1145/3457682.3457694","title":"An Enhanced Adaptive Large Neighborhood Search Algorithm for the Capacitated Vehicle Routing Problem","display_name":"An Enhanced Adaptive Large Neighborhood Search Algorithm for the Capacitated Vehicle Routing Problem","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3173399900","doi":"https://doi.org/10.1145/3457682.3457694","mag":"3173399900"},"language":"en","primary_location":{"id":"doi:10.1145/3457682.3457694","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3457682.3457694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Machine Learning and Computing","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/A5100657921","display_name":"Haiping Zhang","orcid":"https://orcid.org/0000-0003-2133-1768"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiping Zhang","raw_affiliation_strings":["Central South University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103980696","display_name":"Wang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Yang","raw_affiliation_strings":["Central South University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08884859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976999759674072,"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"}},{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.92444908618927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6432327628135681},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6259739398956299},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5777305960655212},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5062898397445679},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41713863611221313},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4159570336341858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26436281204223633}],"concepts":[{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.92444908618927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432327628135681},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6259739398956299},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5777305960655212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5062898397445679},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41713863611221313},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4159570336341858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26436281204223633},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3457682.3457694","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3457682.3457694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1638672902","display_name":null,"funder_award_id":"62072474","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1133087070","https://openalex.org/W1978186990","https://openalex.org/W2028002822","https://openalex.org/W2058419034","https://openalex.org/W2090939957","https://openalex.org/W2093709925","https://openalex.org/W2093966375","https://openalex.org/W2099272829","https://openalex.org/W2109101401","https://openalex.org/W2111563176","https://openalex.org/W2154061444","https://openalex.org/W2166484956","https://openalex.org/W2177916571","https://openalex.org/W2326686986","https://openalex.org/W2488691651","https://openalex.org/W2509755532","https://openalex.org/W2593517983","https://openalex.org/W2745690522","https://openalex.org/W2793500810","https://openalex.org/W2886071523","https://openalex.org/W2927378423"],"related_works":["https://openalex.org/W4312143452","https://openalex.org/W2018691209","https://openalex.org/W4247364272","https://openalex.org/W3133151256","https://openalex.org/W2132920749","https://openalex.org/W2101108574","https://openalex.org/W2157331354","https://openalex.org/W2626773395","https://openalex.org/W3131953714","https://openalex.org/W1575940985"],"abstract_inverted_index":{"Capacitated":[0],"Vehicle":[1,10],"Routing":[2,11],"Problem":[3,12],"(CVRP)":[4],"is":[5,16,30,43,105,135],"a":[6,35,66,79],"representative":[7],"type":[8,68],"of":[9,21,24,69],"(VRP)":[13],"and":[14,39,73,137,165],"it":[15],"NP-hard.":[17],"With":[18],"the":[19,22,25,27,40,86,93,102,114,118,133,148,152,158,168],"increase":[20],"scale":[23],"problem,":[26],"existing":[28],"method":[29],"easy":[31],"to":[32,81,117],"fall":[33],"into":[34],"local":[36],"optimal":[37,149],"solution,":[38],"solution":[41,170],"time":[42,103],"too":[44],"long.":[45],"To":[46],"overcome":[47],"these":[48],"problems,":[49],"in":[50,142,157],"this":[51],"paper,":[52],"we":[53],"propose":[54],"an":[55,97],"Enhanced":[56],"Adaptive":[57],"Large":[58],"Neighborhood":[59],"Search":[60],"algorithm":[61],"(EALNS).":[62],"The":[63],"EALNS":[64,134,160],"adds":[65],"new":[67],"linear":[70],"removal":[71],"strategy":[72,110],"selects":[74],"several":[75],"adjacent":[76],"nodes":[77],"on":[78],"route":[80],"be":[82],"removed":[83],"so":[84,107],"that":[85,100,108,132],"vehicle":[87],"can":[88,112,138],"serve":[89],"more":[90],"customers.":[91],"In":[92],"ALNS":[94],"decision-making":[95],"stage,":[96],"adaptive":[98],"mechanism":[99],"weighs":[101],"factor":[104],"added,":[106],"each":[109],"combination":[111],"adjust":[113],"weight":[115],"according":[116],"solved":[119],"time.":[120,171],"Experiments":[121],"are":[122],"performed":[123],"through":[124],"three":[125],"internationally":[126],"published":[127],"benchmarks.":[128],"Experimental":[129],"results":[130,141,150,155],"show":[131],"competitive":[136],"obtain":[139],"satisfactory":[140],"most":[143],"instances.":[144],"We":[145],"compare":[146],"with":[147],"from":[151],"collective":[153],"best":[154],"reported":[156],"literature,":[159],"improves":[161],"2.30%":[162],"average":[163,169],"accuracy":[164],"significantly":[166],"reduces":[167]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
