Matches in SemOpenAlex for { <https://semopenalex.org/work/W2936326667> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2936326667 abstract "Electric vehicles (EV) have recently appeared on the transport market as a solution for reducing greenhouse gas emissions. They are promising means of clean transportation. However, they are obstructed by their limited autonomy that deprives them of completing long trips without a periodic refueling. To encourage their use, the researchers took an interest in the way to optimally deploy charging infrastructure while minimizing investments costs and maximizing the network’s coverage as part of the facility location problem (FLP). Several models have been designed to solve the location problem for EV charging stations (CS) (LPEVCS). This work proposes a Mixed Integer Programing (MIP) model for the LPEVCS. Given a set of potential sites, a limited number of stations and charging points (CP) to be located, the LPEVCS seeks to find the optimal location of the CS so as to cover the recharging demand as widely as possible and to ensure continuity in the EV trips. To solve this problem on a large scale, we introduce intelligence into swarms. We propose a hybrid method based on the Particle Swarm Optimization (PSO) and Tabu Search (TS) algorithms. This approach is used to solve several generated sets of data with varying sizes using JAVA language and proved the possibility to obtain near-optimal solution for large instances. (Abstract)" @default.
- W2936326667 created "2019-04-25" @default.
- W2936326667 creator A5044989257 @default.
- W2936326667 creator A5055440193 @default.
- W2936326667 creator A5067638458 @default.
- W2936326667 creator A5074548826 @default.
- W2936326667 creator A5082691000 @default.
- W2936326667 date "2018-11-01" @default.
- W2936326667 modified "2023-10-16" @default.
- W2936326667 title "Hybrid metaheuristic to solve location problem for electric vehicles charging stations" @default.
- W2936326667 cites W1655303102 @default.
- W2936326667 cites W1988163824 @default.
- W2936326667 cites W1997617119 @default.
- W2936326667 cites W2050974717 @default.
- W2936326667 cites W2052144254 @default.
- W2936326667 cites W2086000131 @default.
- W2936326667 cites W2137620611 @default.
- W2936326667 cites W2162427505 @default.
- W2936326667 cites W2435167142 @default.
- W2936326667 cites W2536554148 @default.
- W2936326667 cites W2610829374 @default.
- W2936326667 cites W2781581757 @default.
- W2936326667 cites W2783577044 @default.
- W2936326667 doi "https://doi.org/10.1109/itmc.2018.8691281" @default.
- W2936326667 hasPublicationYear "2018" @default.
- W2936326667 type Work @default.
- W2936326667 sameAs 2936326667 @default.
- W2936326667 citedByCount "4" @default.
- W2936326667 countsByYear W29363266672021 @default.
- W2936326667 countsByYear W29363266672022 @default.
- W2936326667 crossrefType "proceedings-article" @default.
- W2936326667 hasAuthorship W2936326667A5044989257 @default.
- W2936326667 hasAuthorship W2936326667A5055440193 @default.
- W2936326667 hasAuthorship W2936326667A5067638458 @default.
- W2936326667 hasAuthorship W2936326667A5074548826 @default.
- W2936326667 hasAuthorship W2936326667A5082691000 @default.
- W2936326667 hasConcept C109718341 @default.
- W2936326667 hasConcept C11413529 @default.
- W2936326667 hasConcept C121332964 @default.
- W2936326667 hasConcept C126255220 @default.
- W2936326667 hasConcept C127413603 @default.
- W2936326667 hasConcept C163258240 @default.
- W2936326667 hasConcept C171146098 @default.
- W2936326667 hasConcept C2776422217 @default.
- W2936326667 hasConcept C2779607880 @default.
- W2936326667 hasConcept C33923547 @default.
- W2936326667 hasConcept C41008148 @default.
- W2936326667 hasConcept C62520636 @default.
- W2936326667 hasConceptScore W2936326667C109718341 @default.
- W2936326667 hasConceptScore W2936326667C11413529 @default.
- W2936326667 hasConceptScore W2936326667C121332964 @default.
- W2936326667 hasConceptScore W2936326667C126255220 @default.
- W2936326667 hasConceptScore W2936326667C127413603 @default.
- W2936326667 hasConceptScore W2936326667C163258240 @default.
- W2936326667 hasConceptScore W2936326667C171146098 @default.
- W2936326667 hasConceptScore W2936326667C2776422217 @default.
- W2936326667 hasConceptScore W2936326667C2779607880 @default.
- W2936326667 hasConceptScore W2936326667C33923547 @default.
- W2936326667 hasConceptScore W2936326667C41008148 @default.
- W2936326667 hasConceptScore W2936326667C62520636 @default.
- W2936326667 hasLocation W29363266671 @default.
- W2936326667 hasLocation W29363266672 @default.
- W2936326667 hasLocation W29363266673 @default.
- W2936326667 hasOpenAccess W2936326667 @default.
- W2936326667 hasPrimaryLocation W29363266671 @default.
- W2936326667 hasRelatedWork W2394120650 @default.
- W2936326667 hasRelatedWork W2507893981 @default.
- W2936326667 hasRelatedWork W2538911617 @default.
- W2936326667 hasRelatedWork W3095745430 @default.
- W2936326667 hasRelatedWork W3199651300 @default.
- W2936326667 hasRelatedWork W4286980301 @default.
- W2936326667 hasRelatedWork W4324285136 @default.
- W2936326667 hasRelatedWork W4386141452 @default.
- W2936326667 hasRelatedWork W4386336112 @default.
- W2936326667 hasRelatedWork W4386523128 @default.
- W2936326667 isParatext "false" @default.
- W2936326667 isRetracted "false" @default.
- W2936326667 magId "2936326667" @default.
- W2936326667 workType "article" @default.