{"id":"https://openalex.org/W3095037549","doi":"https://doi.org/10.1155/2020/8210630","title":"An Adaptive Large Neighborhood Search for the Larger-Scale Instances of Green Vehicle Routing Problem with Time Windows","display_name":"An Adaptive Large Neighborhood Search for the Larger-Scale Instances of Green Vehicle Routing Problem with Time Windows","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3095037549","doi":"https://doi.org/10.1155/2020/8210630","mag":"3095037549"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8210630","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8210630","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/8210630.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/8210630.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016259375","display_name":"Zixuan Yu","orcid":"https://orcid.org/0000-0002-2012-0451"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Yu","raw_affiliation_strings":["State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405840","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0003-0820-2056"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645104","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0003-2942-3544"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yu","raw_affiliation_strings":["State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063338476","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0002-5176-8891"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["Business School, Liaoning University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Business School, Liaoning University, Shenyang, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076579785","display_name":"Min Huang","orcid":"https://orcid.org/0000-0001-7141-7434"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Huang","raw_affiliation_strings":["State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetic Automation for Process Industries, Department of Intelligent Data and Systems Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100645104"],"corresponding_institution_ids":["https://openalex.org/I4391767858","https://openalex.org/I9224756"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":1.9875,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88760414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"14"},"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.989300012588501,"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"}},{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9829999804496765,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8098739385604858},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7227541208267212},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.6834855079650879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6431929469108582},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6073111295700073},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5541380047798157},{"id":"https://openalex.org/keywords/greenhouse-gas","display_name":"Greenhouse gas","score":0.5306434035301208},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.472827285528183},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3319336771965027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19947165250778198}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8098739385604858},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7227541208267212},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.6834855079650879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431929469108582},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6073111295700073},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5541380047798157},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.5306434035301208},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.472827285528183},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3319336771965027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19947165250778198},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/8210630","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8210630","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/8210630.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:8210630","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/8210630.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:65251144bf22461b84fcb56ae838f14e","is_oa":true,"landing_page_url":"https://doaj.org/article/65251144bf22461b84fcb56ae838f14e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8210630","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8210630","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/8210630.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G118675303","display_name":null,"funder_award_id":"71831006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1406300256","display_name":null,"funder_award_id":"N170405005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1774009349","display_name":null,"funder_award_id":"71620107003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2639851810","display_name":null,"funder_award_id":"71831006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4250819139","display_name":null,"funder_award_id":"71571037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4341038742","display_name":null,"funder_award_id":"71420107028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4532470254","display_name":null,"funder_award_id":"7183100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5566103368","display_name":null,"funder_award_id":"71571037","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G574253702","display_name":null,"funder_award_id":"71420107028","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6320418159","display_name":null,"funder_award_id":"71620107003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6494348934","display_name":null,"funder_award_id":"N170405005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8435905564","display_name":null,"funder_award_id":"71601089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8871567382","display_name":null,"funder_award_id":"71601089","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3095037549.pdf","grobid_xml":"https://content.openalex.org/works/W3095037549.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W9632173","https://openalex.org/W1429802841","https://openalex.org/W1615631140","https://openalex.org/W1862661734","https://openalex.org/W1965882376","https://openalex.org/W1969029115","https://openalex.org/W1985971056","https://openalex.org/W2011155282","https://openalex.org/W2021122731","https://openalex.org/W2023071828","https://openalex.org/W2043459322","https://openalex.org/W2057559819","https://openalex.org/W2086057530","https://openalex.org/W2090366431","https://openalex.org/W2096305430","https://openalex.org/W2105002757","https://openalex.org/W2109101401","https://openalex.org/W2114217004","https://openalex.org/W2114638601","https://openalex.org/W2146004814","https://openalex.org/W2192220778","https://openalex.org/W2343890381","https://openalex.org/W2438357250","https://openalex.org/W2465172346","https://openalex.org/W2511663836","https://openalex.org/W2522604845","https://openalex.org/W2594043797","https://openalex.org/W2599406057","https://openalex.org/W2607771832","https://openalex.org/W2615573953","https://openalex.org/W2617831053","https://openalex.org/W2726264120","https://openalex.org/W2799471477","https://openalex.org/W2892611519","https://openalex.org/W2898358851","https://openalex.org/W2901957170","https://openalex.org/W2908396793","https://openalex.org/W2919471218","https://openalex.org/W2923104814","https://openalex.org/W2925063426","https://openalex.org/W2927378423","https://openalex.org/W2939269302","https://openalex.org/W2940663005","https://openalex.org/W2953998475","https://openalex.org/W2964433174","https://openalex.org/W2966864247","https://openalex.org/W6639061302"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2018691209","https://openalex.org/W2745001401","https://openalex.org/W4312143452","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2017649536","https://openalex.org/W1990067406","https://openalex.org/W2135709899"],"abstract_inverted_index":{"Due":[0],"to":[1,31,57,83,187],"huge":[2],"amount":[3,100],"of":[4,61,65,86,101,135,145,153,157,164],"greenhouse":[5],"gases":[6],"emission":[7],"(such":[8],"as":[9],"CO2),":[10],"freight":[11],"has":[12,40],"been":[13],"adversely":[14],"affecting":[15],"the":[16,21,33,38,75,84,119,129,133,143,149,155,161,165,191,195,199,206,210,213],"global":[17,22],"environment":[18],"in":[19,37,114],"facilitating":[20],"economy.":[23],"Therefore,":[24],"green":[25],"vehicle":[26],"routing":[27],"problem":[28],"(GVRP),":[29],"aiming":[30],"minimize":[32],"total":[34],"carbon":[35,102],"emissions":[36,103],"transportation,":[39],"become":[41],"a":[42,78,98,122,136],"hot":[43],"issue.":[44],"In":[45,74,118,128,209],"this":[46],"paper,":[47],"an":[48],"adaptive":[49],"large":[50,99],"neighborhood":[51],"search":[52],"(ALNS)":[53],"algorithm":[54,67,167],"is":[55,68,88,126,139,168],"proposed":[56,196],"solve":[58],"large-scale":[59],"instances":[60,184],"GVRP.":[62],"The":[63,90],"core":[64],"ALNS":[66,166,197],"destroy":[69,76],"operators":[70],"and":[71,106,181],"repair":[72,116,120],"operators.":[73,117],"operators,":[77,121],"new":[79,137],"removal":[80],"heuristic":[81,91],"applying":[82],"characteristics":[85],"GVRP":[87],"proposed.":[89],"can":[92,215],"quickly":[93],"remove":[94],"customers":[95,108,147,180],"who":[96],"bring":[97],"with":[104,178,185,205],"pertinence,":[105],"these":[107],"may":[109],"be":[110],"arranged":[111],"more":[112],"properly":[113],"future":[115],"fast":[123,130],"insertion":[124,131],"method":[125],"developed.":[127],"method,":[132],"feasibility":[134],"route":[138],"judged":[140],"by":[141,202],"checking":[142,154],"constraints":[144,156],"partial":[146],"after":[148],"inserted":[150],"customer,":[151],"instead":[152],"all":[158],"customers.":[159,189],"Thus,":[160],"computational":[162,193],"time":[163],"greatly":[169],"saved.":[170],"Computational":[171],"experiments":[172],"were":[173],"performed":[174],"on":[175],"Solomon":[176],"benchmark":[177,183],"100":[179],"Homberger":[182],"up":[186],"1000":[188],"Given":[190],"same":[192],"time,":[194],"improves":[198],"average":[200],"accuracy":[201],"8.49%":[203],"compared":[204],"classic":[207],"ALNS.":[208],"optimal":[211],"situation,":[212],"improvement":[214],"achieve":[216],"33.61%.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}