%0 Generic
%A Thymianis, Marios
%A Tzanetos, Alexandros
%A Osaba, Eneko
%A Dounias, Georgios
%A Del Ser, Javier
%T Electric Vehicle Routing Problem: 												Literature Review, Instances and Results with a Novel Ant Colony Optimization Method
%J 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
%D 2022
%U https://hdl.handle.net/11556/2309
%X One of the most well-known problems in combinatorial optimization is the Vehicle Routing Problem (VRP). Significant research has been done around this problem in two different perspectives: investigating new solving approaches, and studying variants of VRP which take into consideration multiple restrictions and constraints. One of such versions is the Electric Vehicle Routing Problem (EVRP), whose main objective is to find the optimal route of a fleet of electric vehicles, taking into account the locations of charging stations and the battery consumption of the mobile units. The aim of this study is threefold: (a) to perform a brief literature review on meta-heuristic approaches applied to the EVRP, (b) to offer insights on the available data instances for this problem, and (c) to discuss on the results of an experimental benchmark aimed at comparing different meta-heuristic approaches over diverse EVRP instances, including the proposal and evaluation of a novel Ant Colony Optimization approach.
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