{"id":"https://openalex.org/W2491629964","doi":"https://doi.org/10.1109/acc.2016.7524985","title":"Multi-objective route search for electric vehicles using ant colony optimization","display_name":"Multi-objective route search for electric vehicles using ant colony optimization","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2491629964","doi":"https://doi.org/10.1109/acc.2016.7524985","mag":"2491629964"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2016.7524985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2016.7524985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 American Control Conference (ACC)","raw_type":"proceedings-article"},"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/A5103075336","display_name":"Shuwei Zhang","orcid":"https://orcid.org/0000-0001-8315-3261"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuwei Zhang","raw_affiliation_strings":["Department of Automotive Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102846293","display_name":"Yugong Luo","orcid":"https://orcid.org/0009-0003-5278-0491"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugong Luo","raw_affiliation_strings":["Department of Automotive Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031855986","display_name":"Keqiang Li","orcid":"https://orcid.org/0000-0002-9333-7416"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiang Li","raw_affiliation_strings":["Department of Automotive Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103075336"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.2535,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82810633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"637","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9968000054359436,"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":0.9968000054359436,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9945999979972839,"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/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.8213849067687988},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6541481614112854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6225561499595642},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5101902484893799},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4950808584690094},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.48261579871177673},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.47190529108047485},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.47029611468315125},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.42032328248023987},{"id":"https://openalex.org/keywords/ant-colony","display_name":"Ant colony","score":0.4180160462856293},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.347359836101532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31805747747421265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08478790521621704},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.0794667899608612}],"concepts":[{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.8213849067687988},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6541481614112854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6225561499595642},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5101902484893799},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4950808584690094},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.48261579871177673},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.47190529108047485},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.47029611468315125},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.42032328248023987},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.4180160462856293},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.347359836101532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31805747747421265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08478790521621704},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0794667899608612},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2016.7524985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2016.7524985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 American Control Conference (ACC)","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":20,"referenced_works":["https://openalex.org/W114492606","https://openalex.org/W131066759","https://openalex.org/W1569408755","https://openalex.org/W1595498733","https://openalex.org/W1999025379","https://openalex.org/W2007378900","https://openalex.org/W2014426727","https://openalex.org/W2031232041","https://openalex.org/W2041942953","https://openalex.org/W2142978187","https://openalex.org/W2148732012","https://openalex.org/W2165613966","https://openalex.org/W2167246044","https://openalex.org/W2749398269","https://openalex.org/W2916565942","https://openalex.org/W3136883406","https://openalex.org/W3200986539","https://openalex.org/W6684666047","https://openalex.org/W6743944411","https://openalex.org/W6802030725"],"related_works":["https://openalex.org/W2347951034","https://openalex.org/W2388326823","https://openalex.org/W2366876790","https://openalex.org/W2381829748","https://openalex.org/W2071981049","https://openalex.org/W2244460820","https://openalex.org/W2109336245","https://openalex.org/W2511325427","https://openalex.org/W2392795382","https://openalex.org/W2379177376"],"abstract_inverted_index":{"In":[0],"this":[1,107],"paper,":[2],"a":[3,29],"temporal":[4],"multi-objective":[5,82],"ant":[6],"colony":[7],"optimization":[8],"(ACO)":[9],"algorithm":[10,35,76,87],"is":[11,77,88],"proposed":[12,86],"to":[13,21,90],"generate":[14],"the":[15,23,37,75,96,104],"routing":[16],"plan":[17],"for":[18],"electric":[19],"vehicles":[20],"fulfill":[22],"various":[24],"requirements":[25],"of":[26,58,74,106],"drivers":[27],"under":[28],"time-dependent":[30],"stochastic":[31],"traffic":[32],"environment.":[33],"The":[34,72,85],"optimizes":[36],"route":[38],"length,":[39],"traveling":[40],"time,":[41],"energy,":[42],"battery":[43],"recycling":[44],"lifetime":[45],"and":[46,50,56,65,95],"cabin":[47],"temperature":[48],"integrally,":[49],"meets":[51],"constraints":[52],"on":[53],"arrival":[54],"time":[55],"state":[57],"charge":[59],"limitation.":[60],"Simulation":[61],"experiments":[62],"are":[63,70,98],"conducted":[64],"three":[66],"different":[67],"evaluation":[68],"indexes":[69],"adopted.":[71],"performance":[73],"compared":[78],"with":[79],"two":[80],"other":[81],"ACO":[83],"methods.":[84],"proven":[89],"process":[91],"higher":[92],"convergence":[93],"performance,":[94],"solutions":[97],"also":[99],"widely":[100],"distributed,":[101],"which":[102],"suggests":[103],"effectiveness":[105],"newly":[108],"presented":[109],"algorithm.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
