Bi-objective green vehicle routing problem
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Date
2022
Authors
Kazım Erdoǧdu
Korhan Karabulut
Journal Title
Journal ISSN
Volume Title
Publisher
John Wiley and Sons Inc
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The green vehicle routing problem (GVRP) is a variant of the vehicle routing problem (VRP) which increasingly attracts many researchers in recent years due to the growing global environmental issues. As the transportation of the products grows the number of vehicles in fleets and the pollutants caused by these vehicles also grow which in turn negatively affects human health. In this paper a biobjective GVRP was studied. The two objectives are minimizing the total distance and minimizing the total fuel consumption of all vehicle routes. As a solution method an adaptive large neighborhood search was hybridized with two new local search heuristics. The proposed method was applied to two well-known benchmark problem sets for VRPs and new approximate Pareto fronts were obtained for these benchmark sets. © 2021 Elsevier B.V. All rights reserved.
Description
Keywords
Adaptive Large Neighborhood Algorithm, Evolutionary Algorithms, Green Vehicle Routing Problem, Multiobjective Algorithms, Multiobjective Optimization Problem, Heuristic Algorithms, Heuristic Methods, Optimization, Vehicles, Adaptive Large Neighborhood Searches, Bench-mark Problems, Environmental Issues, Local Search Heuristics, Number Of Vehicles, Solution Methods, Vehicle Routing Problem, Vehicle Routing Problems, Vehicle Routing, Heuristic algorithms, Heuristic methods, Optimization, Vehicles, Adaptive large neighborhood searches, Bench-mark problems, Environmental issues, Local search heuristics, Number of vehicles, Solution methods, Vehicle routing problem, Vehicle Routing Problems, Vehicle routing, adaptive large neighborhood algorithm, multiobjective optimization problem, evolutionary algorithms, multiobjective algorithms, Operations research, mathematical programming, green vehicle routing problem
Fields of Science
0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
19
Source
International Transactions in Operational Research
Volume
29
Issue
Start Page
1602
End Page
1626
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Citations
CrossRef : 9
Scopus : 22
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Mendeley Readers : 30
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