%0 Journal Article %T Multi-depot electric vehicle routing problem with fuzzy time windows and pickup/delivery constraints %J Journal of Applied Research on Industrial Engineering %I Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education %Z 2538-5100 %A Ghobadi, Azra %A Tavakkoli Moghadam, Reza %A Fallah, Mohammad %A Kazemipoor, Hamed %D 2021 %\ 03/01/2021 %V 8 %N 1 %P 1-18 %! Multi-depot electric vehicle routing problem with fuzzy time windows and pickup/delivery constraints %K Electric vehicle routing %K Green House Gas Emission %K Fuzzy Time Windows %K Simulated Annealing %K Variable neighborhood search %R 10.22105/jarie.2021.231764.1165 %X 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. %U https://www.journal-aprie.com/article_124975_5d5b801625f37c525c22ea63dc4c203a.pdf