{"id":"https://openalex.org/W2968926457","doi":"https://doi.org/10.1109/cec.2019.8789989","title":"Electric Vehicle Charging Scheduling Using Ant Colony System","display_name":"Electric Vehicle Charging Scheduling Using Ant Colony System","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968926457","doi":"https://doi.org/10.1109/cec.2019.8789989","mag":"2968926457"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8789989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/CEC.2019.8789989","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078937916","display_name":"Michalis Mavrovouniotis","orcid":"https://orcid.org/0000-0002-5281-4175"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Michalis Mavrovouniotis","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049093660","display_name":"Georgios Ellinas","orcid":"https://orcid.org/0000-0002-3319-7677"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Georgios Ellinas","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089297277","display_name":"Marios M. Polycarpou","orcid":"https://orcid.org/0000-0001-6495-9171"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Marios Polycarpou","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2581","last_page":"2588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":1.0,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9997000098228455,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9962000250816345,"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/tardiness","display_name":"Tardiness","score":0.8505473136901855},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.7394167184829712},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.689856767654419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6567090153694153},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6513584852218628},{"id":"https://openalex.org/keywords/charging-station","display_name":"Charging station","score":0.6075949668884277},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6046613454818726},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5474886298179626},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5088720321655273},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.49778294563293457},{"id":"https://openalex.org/keywords/ant-colony","display_name":"Ant colony","score":0.4744054973125458},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44907480478286743},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3741518259048462},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.31822171807289124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14278021454811096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08076038956642151}],"concepts":[{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.8505473136901855},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.7394167184829712},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.689856767654419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567090153694153},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6513584852218628},{"id":"https://openalex.org/C2779607880","wikidata":"https://www.wikidata.org/wiki/Q2140665","display_name":"Charging station","level":4,"score":0.6075949668884277},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6046613454818726},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5474886298179626},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5088720321655273},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.49778294563293457},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.4744054973125458},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44907480478286743},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3741518259048462},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31822171807289124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14278021454811096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08076038956642151},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2019.8789989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:ktisis.cut.ac.cy:20.500.14279/30834","is_oa":false,"landing_page_url":"https://hdl.handle.net/20.500.14279/30834","pdf_url":null,"source":{"id":"https://openalex.org/S4306400897","display_name":"Ktisis at Cyprus University of Technology (Cyprus University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I163151358","host_organization_name":"Cyprus University of Technology","host_organization_lineage":["https://openalex.org/I163151358"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"},{"id":"pmh:oai:zenodo.org:3375377","is_oa":true,"landing_page_url":"https://doi.org/10.1109/CEC.2019.8789989","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CEC, 2019 IEEE Congress on Evolutionary Computation, Wellington, New Zealand, 10-13 June 2019","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3375377","is_oa":true,"landing_page_url":"https://doi.org/10.1109/CEC.2019.8789989","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CEC, 2019 IEEE Congress on Evolutionary Computation, Wellington, New Zealand, 10-13 June 2019","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1526580552","https://openalex.org/W1573676079","https://openalex.org/W1582915165","https://openalex.org/W1592091313","https://openalex.org/W1602076081","https://openalex.org/W2002832734","https://openalex.org/W2028697667","https://openalex.org/W2050859967","https://openalex.org/W2051431619","https://openalex.org/W2072193572","https://openalex.org/W2092609753","https://openalex.org/W2096353316","https://openalex.org/W2115322778","https://openalex.org/W2115594466","https://openalex.org/W2118051273","https://openalex.org/W2135182171","https://openalex.org/W2135797872","https://openalex.org/W2154929945","https://openalex.org/W2290359964","https://openalex.org/W2538911617","https://openalex.org/W2592237857","https://openalex.org/W2618256630","https://openalex.org/W2725961704","https://openalex.org/W2793630626","https://openalex.org/W2805410871","https://openalex.org/W2883037762","https://openalex.org/W2896695358","https://openalex.org/W2964233842","https://openalex.org/W3102767083","https://openalex.org/W3182901715","https://openalex.org/W4285719527","https://openalex.org/W4299796063","https://openalex.org/W6635478367","https://openalex.org/W6635910384","https://openalex.org/W6785639465"],"related_works":["https://openalex.org/W1611875833","https://openalex.org/W1547053391","https://openalex.org/W1521781013","https://openalex.org/W1975009952","https://openalex.org/W1588949866","https://openalex.org/W46882622","https://openalex.org/W2347951034","https://openalex.org/W2388326823","https://openalex.org/W2366876790","https://openalex.org/W2462483068"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"consider":[4],"the":[5,21,25,43,49,53,58,63,66,79,83,86,119],"scheduling":[6],"problem":[7,26],"for":[8],"charging":[9,50,80,87],"a":[10,17,32,38,107],"fleet":[11],"of":[12,24,31,48,65,82,97,121],"electric":[13,67],"vehicles":[14],"(EVs)":[15],"within":[16,85],"station":[18,88],"such":[19],"that":[20,118],"total":[22],"tardiness":[23],"is":[27,37,75,99,123],"minimized.":[28],"The":[29,69,93,114],"generation":[30],"feasible":[33],"and":[34,45,57,95,101,126],"efficient":[35,91],"schedule":[36],"difficult":[39],"task":[40],"due":[41],"to":[42,77],"physical":[44],"power":[46,56,60],"constraints":[47],"station,":[51],"i.e.,":[52],"maximum":[54,59],"contracted":[55],"imbalance":[61],"between":[62],"lines":[64],"feeder.":[68],"ant":[70],"colony":[71],"optimization":[72],"(ACO)":[73],"metaheuristic":[74],"applied":[76],"coordinate":[78],"process":[81],"EVs":[84],"by":[89,111],"generating":[90],"schedules.":[92],"behaviour":[94],"performance":[96],"ACO":[98,122],"analyzed":[100],"compared":[102],"against":[103],"state-of-the-art":[104],"approaches":[105],"on":[106],"benchmark":[108],"set":[109],"inspired":[110],"real-world":[112],"scenarios.":[113],"experimental":[115],"results":[116],"show":[117],"application":[120],"highly":[124],"effective":[125],"outperforms":[127],"other":[128],"approaches.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}