乐胖代购免代理版

{"id":"https://openalex.org/W4224281875","doi":"https://doi.org/10.1109/sm55505.2022.9758346","title":"Multi-criteria Optimal Routing for Last-mile Parcel Delivery","display_name":"Multi-criteria Optimal Routing for Last-mile Parcel Delivery","publication_year":2022,"publication_date":"2022-03-06","ids":{"openalex":"https://openalex.org/W4224281875","doi":"https://doi.org/10.1109/sm55505.2022.9758346"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sm55505.2022.9758346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100434164","display_name":"Zihao Chen","orcid":"https://orcid.org/0000-0002-0088-987X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zihao Chen","raw_affiliation_strings":["Electrical and Computer Engineering, University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Electrical and Computer Engineering, University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032036732","display_name":"Alaa Khamis","orcid":"https://orcid.org/0000-0003-3008-835X"},"institutions":[{"id":"https://openalex.org/I867584213","display_name":"General Motors (Canada)","ror":"https://ror.org/04vd6qx78","country_code":"CA","type":"company","lineage":["https://openalex.org/I118136607","https://openalex.org/I867584213"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alaa Khamis","raw_affiliation_strings":["Canadian Technical Centre, General Motors, Canada"],"affiliations":[{"raw_affiliation_string":"Canadian Technical Centre, General Motors, Canada","institution_ids":["https://openalex.org/I867584213"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.385,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.736681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9981,"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":0.9981,"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":0.9953,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9914,"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/vehicle-routing-problem","display_name":"Vehicle Routing Problem","score":0.55253124},{"id":"https://openalex.org/keywords/adaptive-simulated-annealing","display_name":"Adaptive simulated annealing","score":0.45967865}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.8204076},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7536919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484646},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.63741815},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.612256},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.60133475},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5830932},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.55253124},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4847824},{"id":"https://openalex.org/C46714192","wikidata":"https://www.wikidata.org/wiki/Q4680763","display_name":"Adaptive simulated annealing","level":3,"score":0.45967865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26754814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21604627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17917362},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13145712}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sm55505.2022.9758346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.67,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W2033915107","https://openalex.org/W2050819731","https://openalex.org/W2517672322","https://openalex.org/W2979622390","https://openalex.org/W3141994949","https://openalex.org/W4246975826"],"related_works":["https://openalex.org/W3117281083","https://openalex.org/W2996796639","https://openalex.org/W2411789204","https://openalex.org/W2403875102","https://openalex.org/W2392101695","https://openalex.org/W2361943787","https://openalex.org/W2271841533","https://openalex.org/W2161373934","https://openalex.org/W2082305040","https://openalex.org/W1939200287"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,30],"metaheuristic":[4],"approach":[5],"to":[6,26,52],"solve":[7],"parcel":[8],"delivery":[9],"multi-criteria":[10],"routing":[11],"problem.":[12],"The":[13],"problem":[14,22],"is":[15,58],"modeled":[16],"as":[17,49],"multiple":[19],"travelling":[20],"salesman":[21],"(mTSP)":[23],"and":[24,43,65,77],"reduced":[25],"TSP":[27],"by":[28],"applying":[29],"clustering":[31],"algorithm.":[32,68,80],"Travelling":[33],"time,":[34],"road":[35,37],"capacity,":[36],"elevation,":[38],"number":[39,44],"of":[40,45],"traffic":[41],"lights":[42],"turns":[46],"are":[47],"considered":[48],"objective":[50],"functions":[51],"be":[53],"optimized.":[54],"A":[55],"conductive":[56],"study":[57],"conducted":[59],"between":[60],"simulated":[61,75],"annealing,":[62],"genetic":[63,79],"algorithm":[64],"adaptive":[66,72],"GA":[67,73],"Experiments":[69],"show":[70],"that":[71],"outperforms":[74],"annealing":[76],"standard":[78]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4224281875","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-05T16:17:12.330940","created_date":"2022-04-26"}