General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windows

With the growing environmental concerns and the rising number of electric vehicles, researchers and companies are paying more and more attention to green logistics. This paper studies the Electric Vehicle Routing Problem with time-dependent speeds and soft time windows. The purpose is to mi...

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Main Author: Luka Matijević
Format: Article
Language:English
Published: Growing Science 2023-01-01
Series:International Journal of Industrial Engineering Computations
Online Access:http://www.growingscience.com/ijiec/Vol14/IJIEC_2023_8.pdf
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author Luka Matijević
author_facet Luka Matijević
author_sort Luka Matijević
collection DOAJ
description With the growing environmental concerns and the rising number of electric vehicles, researchers and companies are paying more and more attention to green logistics. This paper studies the Electric Vehicle Routing Problem with time-dependent speeds and soft time windows. The purpose is to minimize the total distance travelled, while penalizing early or late arrivals at the customers’ locations. For this purpose, we formulated the Mixed Integer Linear Program (MILP) and developed a General Variable Neighborhood Search (GVNS) metaheuristic, an efficient way to tackle this problem. To prove the efficiency of our approach, we tested the GVNS against the Adaptive Large Neighborhood Search (ALNS) algorithm and our MILP model, using a set of available benchmark instances. After an extensive experimental evaluation, we concluded that GVNS can find better quality solutions than other methods considered in this research or the same quality solution in less time.
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spelling doaj.art-51c6f93c621a4ee88c64eec46657e8c22023-03-06T09:28:27ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342023-01-0114227529210.5267/j.ijiec.2023.2.001General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windowsLuka Matijević With the growing environmental concerns and the rising number of electric vehicles, researchers and companies are paying more and more attention to green logistics. This paper studies the Electric Vehicle Routing Problem with time-dependent speeds and soft time windows. The purpose is to minimize the total distance travelled, while penalizing early or late arrivals at the customers’ locations. For this purpose, we formulated the Mixed Integer Linear Program (MILP) and developed a General Variable Neighborhood Search (GVNS) metaheuristic, an efficient way to tackle this problem. To prove the efficiency of our approach, we tested the GVNS against the Adaptive Large Neighborhood Search (ALNS) algorithm and our MILP model, using a set of available benchmark instances. After an extensive experimental evaluation, we concluded that GVNS can find better quality solutions than other methods considered in this research or the same quality solution in less time.http://www.growingscience.com/ijiec/Vol14/IJIEC_2023_8.pdf
spellingShingle Luka Matijević
General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windows
International Journal of Industrial Engineering Computations
title General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windows
title_full General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windows
title_fullStr General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windows
title_full_unstemmed General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windows
title_short General variable neighborhood search for electric vehicle routing problem with time-dependent speeds and soft time windows
title_sort general variable neighborhood search for electric vehicle routing problem with time dependent speeds and soft time windows
url http://www.growingscience.com/ijiec/Vol14/IJIEC_2023_8.pdf
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