Jul 2026· Transport· pp. 1-12· 0 citations· 37 references
Abstract
This study focuses on an Electric Vehicle (EV) cold chain logistics location-routing problem with charging-stations that aims at optimizing the location of depots, the delivery routing of EVs, the time planning for visiting all customers and the location of charging-stations. To tackle this problem, a multi-objective optimization model is established to minimize cold chain logistics cost, and at the same time maximize cold chain logistics network efficiency. An integrated algorithm that combines an Improved Artificial Fish Swarm Algorithm (IAFSA) and a Label-based Charging-station Optimization Algorithm (LCOA) is used to solve the proposed model. Extensive computational experiments are conducted to demonstrate the applicability of the proposed model, and show the efficiency of the developed algorithm. Moreover, the effects of battery driving range and traveling speed on the results are explored through the sensitivity analysis that provides decision supports for logistics enterprises to operate an EV cold chain logistics network.
First published online 31 July 2026
With the continued electrification and digitalization of urban logistics, electric freight routing increasingly requires the coordinated consideration of customer time windows, vehicle capacity, limited battery range, and en-route charging. This study formulates an electric vehicle routing problem with time windows (EV...
Li-Ping Gao, Zhao-Lei He, Cong Lin et al.· Energies· 0 citations
With the electrification of urban logistics and the development of autonomous driving technology, autonomous electric vehicles (AEVs) are becoming flexible resources linking transportation systems and power grids. Considering their programmable mobile energy storage capability and task-driven operation characteristics,...
Jin-Yang Li, Yuxuan Huang, Shan Gao et al.· 2026 5th International Confe...· 0 citations
Under the background of the “dual-carbon” strategy, new energy logistics vehicles have become increasingly important in urban distribution systems due to their environmental friendliness and low operating emissions. However, compared with conventional fuel vehicles, their routing and scheduling are more strongly constr...
Chun-Hui Wang· International Conference on...· 0 citations
Electric logistics vehicles have been increasingly applied in various delivery scenarios due to their environmental benefits. However, limitations in battery capacity and the availability of charging infrastructure remain major obstacles to their wider adoption. This study develops a route optimization model for electr...
Chen Chen, Li Zhang· Applied Sciences· 0 citations
The increasing penetration of electric vehicles (EVs) creates new challenges for coordinated planning of charging and battery-swapping infrastructure. This study aims to develop a joint location and capacity planning framework for electric vehicle charging stations (EVCSs) and electric vehicle swapping stations (EVSSs)...
Zi-Han Li, Bo Yang, Huanming Zhang et al.· Algorithms· 0 citations
This paper focuses on the cold chain logistics and proposes a multi-objective Vehicle Routing Problem (VRP) model that seeks to minimize the total cost of cold chain logistics and maximize the fairness of employees' workloads. This model first incorporates carbon emissions into the cost structure, and also discretely c...
Jian-Hao Xu, Zhuang Yang, Yang Wang· Evolutionary Computation· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
