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Title On Using Metaheuristics For The Allocation Of Electric Vehicles To Charging Stations
ID_Doc 39972
Authors Taieb C.; Tlili T.; Nouaouri I.; Krichen S.; Allaoui H.
Year 2023
Published Cybernetics and Systems
DOI http://dx.doi.org/10.1080/01969722.2023.2247260
Abstract In this article, we present a comprehensive study regarding the problem of allocating a fleet of electric vehicles to charging stations according to charging time and battery constraints. Each charging station’s capacity as well as the necessary charging time is known in advance while each vehicle’s arrival time is provided by a GPS device. We provide an integer programming model solved with an exact method to effectively handle this combinatorial problem along with a set of metaheuristic algorithms. To evaluate the performance of this solution framework, computational experiments are conducted on large-scale randomly generated instances simulating a real-world scenario. © 2023 Taylor & Francis Group, LLC.
Author Keywords Artificial bee colony; combinatorial optimization; electric vehicles; genetic algorithm; metaheuristics; particle swarm optimization; smart city


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