{"id":"https://openalex.org/W7161054832","doi":"https://doi.org/10.1007/s42979-026-04987-6","title":"Enhanced Energy Delivery in Electric Vehicle Charging Scheduling via Metaheuristic Approaches","display_name":"Enhanced Energy Delivery in Electric Vehicle Charging Scheduling via Metaheuristic Approaches","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161054832","doi":"https://doi.org/10.1007/s42979-026-04987-6"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-026-04987-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04987-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04987-6.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04987-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116465436","display_name":"Aimen Khiar","orcid":null},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Aimen Khiar","raw_affiliation_strings":["CESI Lineact UR 7527, 67000, Strasbourg, France","IRIMAS UR 7499, University of Haute Alsace, 68224, Mulhouse, France"],"raw_orcid":"https://orcid.org/0009-0002-2724-223X","affiliations":[{"raw_affiliation_string":"CESI Lineact UR 7527, 67000, Strasbourg, France","institution_ids":["https://openalex.org/I68947357"]},{"raw_affiliation_string":"IRIMAS UR 7499, University of Haute Alsace, 68224, Mulhouse, France","institution_ids":["https://openalex.org/I2800745255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121592273","display_name":"Mohamed el Amine Brahmia","orcid":null},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed El Amine Brahmia","raw_affiliation_strings":["CESI Lineact UR 7527, 67000, Strasbourg, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI Lineact UR 7527, 67000, Strasbourg, France","institution_ids":["https://openalex.org/I68947357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077151661","display_name":"Lhassane Idoumghar","orcid":"https://orcid.org/0000-0001-8853-3968"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lhassane Idoumghar","raw_affiliation_strings":["IRIMAS UR 7499, University of Haute Alsace, 68224, Mulhouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRIMAS UR 7499, University of Haute Alsace, 68224, Mulhouse, France","institution_ids":["https://openalex.org/I2800745255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5116465436"],"corresponding_institution_ids":["https://openalex.org/I2800745255","https://openalex.org/I68947357"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49648406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9581000208854675,"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":0.9581000208854675,"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/T11249","display_name":"Wireless Power Transfer Systems","score":0.006500000134110451,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.003100000089034438,"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/crossover","display_name":"Crossover","score":0.6093000173568726},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5982000231742859},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.555899977684021},{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.44510000944137573},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4447999894618988},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4399000108242035},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.41280001401901245},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4124999940395355},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.38609999418258667}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7328000068664551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6132000088691711},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6093000173568726},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5982000231742859},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.44510000944137573},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4399000108242035},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.41280001401901245},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.38609999418258667},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.298799991607666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2953000068664551},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s42979-026-04987-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04987-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04987-6.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05621215v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05621215","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SN Computer Science, 2026, 7 (5), pp.420. ⟨10.1007/s42979-026-04987-6⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s42979-026-04987-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04987-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04987-6.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6363337635993958,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F8589163295","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7161054832.pdf","grobid_xml":"https://content.openalex.org/works/W7161054832.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1659842140","https://openalex.org/W1976744965","https://openalex.org/W2061438946","https://openalex.org/W2061988829","https://openalex.org/W2952348579","https://openalex.org/W2989378064","https://openalex.org/W3112023326","https://openalex.org/W3131853315","https://openalex.org/W4221148124","https://openalex.org/W4360948454","https://openalex.org/W4379115174","https://openalex.org/W4396753557","https://openalex.org/W4398776916","https://openalex.org/W4400876357","https://openalex.org/W4401704229","https://openalex.org/W4403406695","https://openalex.org/W4406958557","https://openalex.org/W4408011700","https://openalex.org/W4408062528","https://openalex.org/W4408072309","https://openalex.org/W4408079070","https://openalex.org/W7117563836","https://openalex.org/W7139064343"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Electric":[1],"vehicle":[2],"(EV)":[3],"adoption":[4],"is":[5],"rapidly":[6],"increasing,":[7],"intensifying":[8],"pressure":[9],"on":[10,64,203],"existing":[11],"charging":[12,29,135],"infrastructures":[13],"and":[14,33,167,184,188,190,211,229,231],"making":[15],"the":[16,27,109,118,133,152,155,198,208,215,222],"allocation":[17],"of":[18,53,79,111,132,154],"limited":[19],"station":[20],"capacity":[21],"a":[22,121,147,174,178],"critical":[23],"scheduling":[24,30],"problem.":[25],"In":[26],"EV":[28],"problem,":[31,157],"heuristic":[32,181],"hybrid":[34],"metaheuristic":[35],"approaches":[36],"aim":[37],"to":[38,238],"minimize":[39],"non-delivered":[40,65],"energy":[41,66,76,89,143,235],"using":[42,100,173],"discrete-time":[43],"formulations":[44],"where":[45],"each":[46,138],"vehicle-charger":[47,139],"pair":[48],"occupies":[49],"an":[50,60],"integer":[51],"number":[52],"time":[54,74],"slots.":[55],"This":[56],"modeling":[57],"choice":[58],"imposes":[59],"unavoidable":[61],"lower":[62],"bound":[63],"when":[67],"requested":[68],"energies":[69],"are":[70],"misaligned":[71],"with":[72],"single":[73],"slot":[75,136],"delivery,":[77],"regardless":[78],"available":[80],"infrastructure":[81],"capacity.":[82],"Consequently,":[83],"physically":[84],"feasible":[85,186],"schedules":[86],"satisfying":[87],"all":[88],"requests":[90],"may":[91],"exist":[92],"for":[93,137,182],"practically":[94],"relevant":[95],"instances,":[96],"yet":[97],"state-of-the-art":[98,242],"methods":[99,243],"this":[101,116],"formulation":[102,127],"cannot":[103],"construct":[104],"such":[105],"optimal":[106],"schedules,":[107,187],"distorting":[108],"assessment":[110],"smart-charging":[112],"strategies.":[113],"To":[114],"remove":[115],"artifact,":[117],"paper":[119],"introduces":[120],"refined":[122],"mixed-integer":[123],"linear":[124],"programming":[125],"(MILP)":[126],"that":[128,194,218],"permits":[129],"fractional":[130],"use":[131],"final":[134],"pair,":[140],"eliminating":[141],"discretization-induced":[142],"losses":[144],"while":[145],"preserving":[146],"standard":[148],"time-indexed":[149],"structure.":[150],"Given":[151],"NP-hardness":[153],"underlying":[156],"three":[158],"customized":[159],"metaheuristics\u2014Genetic":[160],"Algorithm":[161,170],"(GA),":[162],"Grey":[163],"Wolf":[164],"Optimizer":[165],"(GWO),":[166],"Cuckoo":[168],"Search":[169],"(CSA)\u2014are":[171],"developed":[172],"dedicated":[175],"schedule":[176],"encoding,":[177],"stochastic":[179],"insertion":[180],"constructing":[183],"repairing":[185],"perturbation":[189],"generalized":[191],"crossover":[192],"operators":[193],"maintain":[195],"feasibility":[196],"throughout":[197],"search.":[199],"Extensive":[200],"computational":[201,247],"experiments":[202],"large-scale":[204],"instances":[205],"derived":[206],"from":[207,214],"ACN-Data":[209],"dataset":[210],"benchmark":[212],"sets":[213],"literature":[216],"show":[217],"CSA":[219],"consistently":[220],"achieves":[221],"highest":[223],"delivered-energy":[224],"ratios,":[225],"statistically":[226],"outperforms":[227],"GA":[228],"GWO,":[230],"improves":[232],"average":[233],"delivered":[234],"by":[236],"up":[237],"89.45%":[239],"over":[240],"recent":[241],"without":[244],"significant":[245],"additional":[246],"overhead.":[248]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-05-14T00:00:00"}