Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method

Marios Thymianis; Alexandros Tzanetos; Eneko Osaba; Georgios Dounias; Javier Del Ser

doi:10.1109/CEC55065.2022.9870373

Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method

Marios Thymianis^*
, Alexandros Tzanetos
, Eneko Osaba
, Georgios Dounias
, Javier Del Ser

^*Corresponding author for this work

University of the Aegean
Université de Sherbrooke

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665467087
DOIs	https://doi.org/10.1109/CEC55065.2022.9870373
Publication status	Published - 2022
Event	2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Padua, Italy Duration: 18 Jul 2022 → 23 Jul 2022

Publication series

Name	2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

Conference

Conference	2022 IEEE Congress on Evolutionary Computation, CEC 2022
Country/Territory	Italy
City	Padua
Period	18/07/22 → 23/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Ant Colony Optimization
Electric Vehicle Routing Problem
Meta-heuristics
Vehicle Routing Problem

Access to Document

10.1109/CEC55065.2022.9870373

Cite this

Thymianis, M., Tzanetos, A., Osaba, E., Dounias, G., & Del Ser, J. (2022). Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method. In 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC55065.2022.9870373

Thymianis, Marios ; Tzanetos, Alexandros ; Osaba, Eneko et al. / Electric Vehicle Routing Problem : Literature Review, Instances and Results with a Novel Ant Colony Optimization Method. 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings).

@inproceedings{33a60cb104174f20b2cbddaf04f4db79,

title = "Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method",

abstract = "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.",

keywords = "Ant Colony Optimization, Electric Vehicle Routing Problem, Meta-heuristics, Vehicle Routing Problem",

author = "Marios Thymianis and Alexandros Tzanetos and Eneko Osaba and Georgios Dounias and \{Del Ser\}, Javier",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Congress on Evolutionary Computation, CEC 2022 ; Conference date: 18-07-2022 Through 23-07-2022",

year = "2022",

doi = "10.1109/CEC55065.2022.9870373",

language = "English",

series = "2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings",

address = "United States",

}

Thymianis, M, Tzanetos, A, Osaba, E, Dounias, G & Del Ser, J 2022, Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method. in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Congress on Evolutionary Computation, CEC 2022, Padua, Italy, 18/07/22. https://doi.org/10.1109/CEC55065.2022.9870373

Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method. / Thymianis, Marios; Tzanetos, Alexandros; Osaba, Eneko et al.
2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Electric Vehicle Routing Problem

T2 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022

AU - Thymianis, Marios

AU - Tzanetos, Alexandros

AU - Osaba, Eneko

AU - Dounias, Georgios

AU - Del Ser, Javier

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Ant Colony Optimization

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KW - Meta-heuristics

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M3 - Conference contribution

AN - SCOPUS:85138674202

T3 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

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ER -

Thymianis M, Tzanetos A, Osaba E, Dounias G, Del Ser J. Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method. In 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings). doi: 10.1109/CEC55065.2022.9870373

Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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