Electric vehicle routing problem with pickup and delivery under the partial recharging and nonlinear discharging strategy

Electric vehicles' usage in distribution motivates the research of the electric vehicle routing problem. This paper considers the piecewise linear recharging and nonlinear discharging strategy for electric vehicles with the time windows and pickup and delivery service, and allows partial recharge (EVPTNL-PR), whose objective is to minimise the total cost. The problem is formulated as a mixed integer nonlinear programming model and is solved by the improved adaptive large neighbourhood search algorithm that applies several new removal and insertion operations and adaptive mechanisms. In addition, extensive computational experiments are carried out to assess the importance of the realistic factors studied in the model. The results demonstrate that the realities in the problem of electric vehicles distribution make path planning more accurate and the improved algorithm performs well in finding high-quality solutions.

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Publication Details

Journal
International Journal of Shipping and Transport Logistics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijstl.2025.147561
Citations
1
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
1.24
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article

Electric vehicle routing problem with pickup and delivery under the partial recharging and nonlinear discharging strategy

Zhengyi Tang, Lu Li, Si Zhang
1 citations
International Journal of Shipping and Transport Logistics
Vehicle Routing Optimization Methods
1.24
article

Electric vehicle routing problem with pickup and delivery under the partial recharging and nonlinear discharging strategy

Zhengyi Tang, Lu Li, Si Zhang
article en
1 citations

Abstract

Electric vehicles' usage in distribution motivates the research of the electric vehicle routing problem. This paper considers the piecewise linear recharging and nonlinear discharging strategy for electric vehicles with the time windows and pickup and delivery service, and allows partial recharge (EVPTNL-PR), whose objective is to minimise the total cost. The problem is formulated as a mixed integer nonlinear programming model and is solved by the improved adaptive large neighbourhood search algorithm that applies several new removal and insertion operations and adaptive mechanisms. In addition, extensive computational experiments are carried out to assess the importance of the realistic factors studied in the model. The results demonstrate that the realities in the problem of electric vehicles distribution make path planning more accurate and the improved algorithm performs well in finding high-quality solutions.

International Journal of Shipping and Transport LogisticsVol. 20(4)
Shanghai University (CN)
Openalex Percentile: Top 17%
Vehicle Routing Optimization Methods
1.24
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Electric vehicle routing problem with pickup and delivery under the partial recharging and nonlinear discharging strategy — Zhengyi Tang, Lu Li, et al. · International Journal of Shipping and Transport Logistics (2025) | TGRS Research Map | TGRS