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• W4361286164 abstract "The Pickup and Delivery Problem has received increasing attention as a result of the recent growth of third-party delivery companies, and electric vehicles (EVs) are becoming a preferable choice for such large delivery systems due to their environmental benefits. The EVs, however, have limited energy capacity; thus, intra-route facilities are required to recharge them. These facilities can also be visited to transfer requests to other vehicles. In this study, we introduce a novel pickup and delivery problem with electric vehicles and transfers. The traditional constraint that each request should be handled by a single vehicle, is relaxed in this problem with transfers, and additionally, we incorporate other practical considerations such as multi-depots, time-windows, and EVs’ battery and carrying capacity constraints. We develop a mixed-integer linear programming model encompassing all these constraints. To address the computational difficulty of the problem, we propose a hybrid heuristic combining Simulated Annealing (SA) and Large Neighborhood Search (LNS). Experimental results reveal that for small instances where CPLEX can find optimal solutions, our heuristic finds them about 90% faster." @default.
• W4361286164 created "2023-03-31" @default.
• W4361286164 creator A5007635179 @default.
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• W4361286164 date "2023-05-01" @default.
• W4361286164 modified "2023-10-16" @default.
• W4361286164 title "The multi-depot pickup and delivery problem with capacitated electric vehicles, transfers, and time windows" @default.
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• W4361286164 doi "https://doi.org/10.1016/j.cie.2023.109207" @default.
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