An efficient optimization algorithm for electric vehicle routing problem

dc.contributor.authorVani, B.V.
dc.contributor.authorKishan, D.
dc.contributor.authorAhmad, M.D.W.
dc.contributor.authorReddy, C.R.P.
dc.date.accessioned2026-02-04T12:27:05Z
dc.date.issued2023
dc.description.abstractThere has been a steady increase in the prevalence of electric vehicles (EVs) (electric cars) in the transportation industry. The limited range of EVs and the lack of charging facilities make it harder to gain widespread adoption of the EV service. Several optimisation algorithms for EV routes have not yet resolved the problems of trip time and travel cost. The study provides a Bat optimisation technique to reduce trip time and costs while taking into account customer service requests and EV charging schedules. Taking into account battery capacity, charging duration, and delivery/pickup needs, the suggested method may determine the optimal path to supercharger stations. To demonstrate its effectiveness, it is compared to other state-of-the-art algorithms across a variety of benchmark cases. © 2023 The Authors. IET Power Electronics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
dc.identifier.citationIET Power Electronics, 2023, , , pp. -
dc.identifier.issn17554535
dc.identifier.urihttps://doi.org/10.1049/pel2.12555
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/22119
dc.publisherJohn Wiley and Sons Inc
dc.subjectCharging (batteries)
dc.subjectOptimization
dc.subjectRouting algorithms
dc.subjectCharging facilities
dc.subjectEfficient optimisation
dc.subjectElectric cars
dc.subjectElectric vehicle charging
dc.subjectOptimization algorithms
dc.subjectTime cost
dc.subjectTransportation industry
dc.subjectTrip time
dc.subjectVehicle Routing Problems
dc.subjectVehicle service
dc.subjectElectric vehicles
dc.titleAn efficient optimization algorithm for electric vehicle routing problem

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