{"id":"https://openalex.org/W4207014376","doi":"https://doi.org/10.1109/ssci50451.2021.9659859","title":"Heterogeneous Multiobjective Differential Evolution for Electric Vehicle Charging Scheduling","display_name":"Heterogeneous Multiobjective Differential Evolution for Electric Vehicle Charging Scheduling","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4207014376","doi":"https://doi.org/10.1109/ssci50451.2021.9659859"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9659859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9659859","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5048937704","display_name":"Weili Liu","orcid":"https://orcid.org/0000-0003-0725-3759"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei-li Liu","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063438356","display_name":"Yue\u2010Jiao Gong","orcid":"https://orcid.org/0000-0002-5648-1160"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-Jiao Gong","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050385116","display_name":"Wei\u2013Neng Chen","orcid":"https://orcid.org/0000-0003-0843-5802"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Neng Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083409339","display_name":"Jinghu Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghu Zhong","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033550209","display_name":"Sang-Woon Jean","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Woon Jean","raw_affiliation_strings":["Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]},{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR","TW"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Chaoyang University of Technology, Taiwan","Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"Chaoyang University of Technology, Taiwan","institution_ids":["https://openalex.org/I126145234"]},{"raw_affiliation_string":"Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048937704"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":null,"apc_paid":null,"fwci":0.867,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68388855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9977999925613403,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9940999746322632,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6816938519477844},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.6425560116767883},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6143779754638672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092299222946167},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5899574756622314},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5753089189529419},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5720028877258301},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5523781776428223},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45423808693885803},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.44160810112953186},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4177218973636627},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41281723976135254},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.41200166940689087},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.16605666279792786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14174994826316833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12495487928390503}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6816938519477844},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.6425560116767883},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6143779754638672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092299222946167},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5899574756622314},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5753089189529419},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5720028877258301},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5523781776428223},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45423808693885803},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.44160810112953186},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4177218973636627},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41281723976135254},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.41200166940689087},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.16605666279792786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14174994826316833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12495487928390503},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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":2,"locations":[{"id":"doi:10.1109/ssci50451.2021.9659859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9659859","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.vu.edu.au:46479","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/46479/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"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":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G6637283568","display_name":null,"funder_award_id":"61873095,61873097","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2041946090","https://openalex.org/W2118207746","https://openalex.org/W2126105956","https://openalex.org/W2156194072","https://openalex.org/W2344152126","https://openalex.org/W2755164733","https://openalex.org/W2766684740","https://openalex.org/W2803970949","https://openalex.org/W2982557718","https://openalex.org/W2989600150","https://openalex.org/W2994776571","https://openalex.org/W3026224272","https://openalex.org/W3038089944","https://openalex.org/W3135882468","https://openalex.org/W3153447034","https://openalex.org/W6770936597","https://openalex.org/W6779907533"],"related_works":["https://openalex.org/W1963790170","https://openalex.org/W2073298047","https://openalex.org/W2033790662","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2049264236","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609"],"abstract_inverted_index":{"With":[0],"the":[1,6,17,36,40,45,52,57,64,78,115,119,150,159],"proliferation":[2],"of":[3,48,84,141,158,188],"electric":[4],"vehicles,":[5],"Electric":[7],"Vehicle":[8],"Charging":[9],"Scheduling":[10],"(EVCS)":[11],"becomes":[12],"a":[13,81,101],"critical":[14],"issue":[15],"in":[16,24,186],"modern":[18],"transportation":[19],"systems.":[20],"The":[21],"EVCS":[22,54],"problem":[23],"practice":[25],"usually":[26],"contains":[27],"several":[28],"important":[29],"but":[30],"conflicting":[31],"objectives,":[32],"such":[33],"as":[34],"minimizing":[35,39],"time":[37],"cost,":[38],"charging":[41],"expense,":[42],"and":[43,118,152,191],"maximizing":[44],"final":[46],"state":[47],"charge.":[49],"To":[50,94],"solve":[51],"multiobjective":[53,116],"(MOEVCS)":[55],"problem,":[56],"weighted-sum":[58],"approaches":[59,72],"require":[60,73],"expertise":[61],"to":[62,75,91,136,149,162,172],"predefine":[63],"weights,":[65],"which":[66,87,168],"is":[67,88,113],"inconvenient.":[68],"Meanwhile,":[69],"traditional":[70],"Pareto-based":[71],"users":[74],"frequently":[76],"select":[77,173],"result":[79],"from":[80],"large":[82],"set":[83],"trade-off":[85,139,166],"solutions,":[86,167],"sometimes":[89],"difficult":[90],"make":[92],"decisions.":[93],"address":[95],"these":[96],"issues,":[97],"this":[98],"paper":[99],"proposes":[100],"Heterogeneous":[102],"Multiobjective":[103],"Differential":[104],"Evolution":[105],"(HMODE)":[106],"with":[107],"four":[108,131],"heterogeneous":[109],"sub-populations.":[110],"Specially,":[111],"one":[112],"for":[114],"optimization":[117],"other":[120],"three":[121,128],"are":[122,133],"single-objective":[123],"sub-populations":[124,132],"that":[125],"separately":[126],"optimize":[127],"objectives.":[129],"These":[130],"evolved":[134],"cooperatively":[135],"find":[137],"better":[138],"solutions":[140,154,157],"MOEVCS.":[142],"Besides,":[143],"HMODE":[144,182],"introduces":[145],"an":[146],"attention":[147],"mechanism":[148],"knee":[151],"bound":[153],"among":[155],"non-dominated":[156],"first":[160],"rank":[161],"provide":[163],"more":[164],"representative":[165],"facilitates":[169],"decision":[170],"makers":[171],"their":[174],"preferred":[175],"results.":[176],"Experimental":[177],"results":[178],"show":[179],"our":[180],"proposed":[181],"outperforms":[183],"state-of-the-art":[184],"methods":[185],"terms":[187],"selection":[189],"flexibility":[190],"solution":[192],"quality.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}