| Autor: |
Azra Ghobadi, Reza Tavakkoli Moghadam, Mohammad Fallah |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Journal of Applied Research on Industrial Engineering, Vol 8, Iss 1, Pp 1-18 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2538-5100 |
| DOI: |
10.22105/JARIE.2021.231764.1165 |
| Popis: |
The use of an Electric Vehicle (EV), particularly in different operations of goods distribution is a solution for salvaging the crowded cities of the world from air and noise pollutions as well as Green House Gas (GHG) emission. This paper presents a Multi-Depot Electric Vehicle Routing Problem (MD-EVRP) with recharging stations by considering the expected penalty of fuzzy time windows in pickup/delivery. Since the MD-EVRP with Fuzzy Time Windows and Pickup/Delivery (MD-EVRP-FTW-PD) constraints is an NP-hard problem, three meta-heuristics (i.e., Simulated Annealing (SA), Variable Neighborhood Search (VNS) and a hybrid of SA and VNS (VNS-SA)) are used to solve such a hard problem. The parameters of these algorithms are measured by the Taguchi experimental design method. The proposed hybrid VNS-SA algorithm is more efficient in comparison with other algorithms. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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