This study investigates the dynamic-demand green vehicle routing problem with soft time windows (DDGVRPSTW). A two-stage optimization model is developed to minimize total distribution cost, including vehicle operating cost, fixed dispatch cost, fuel consumption cost, carbon emission cost, and time window penalty cost....
Ming He, Kai-Jun Zhou, Qian Wang et al.· Electronics· 0 citations
Deploying heavy-duty electric trucks under real-world uncertainty is operationally challenging, particularly when multiple vehicles compete for limited public charging resources and face uncertain wait times. This research studies the Fixed-Route Vehicle Charging Problem and formulates it as a multistage stochastic pro...
Zi-Yan Li, Nikolay Aristov, E. Dugundji· Transportation Research Reco...· 0 citations
The rise in the usage of Electric Vehicles (EVs) in logistics has introduced several routing challenges, which mainly include constraints related to battery capacity, vehicle load capacity, and the availability of recharging infrastructure for delivering the goods by the electric vehicle. These factors can make the Ele...
Mahankali Prathyusha Lahari, Jeyakumar G· International Conference Com...· 0 citations
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
This article studies the cumulative capacitated vehicle routing problem with time windows (CCVRPTW). The CCVRPTW consists of deciding the routing schedules for a set of homogeneous capacitated vehicles such that the latency, that is, the sum of the service start times at the customers, is minimized and the time windo...
Alan Osorio-Mora, Timo Gschwind· Networks· 0 citations
DNSGA-II-ALNS is presented, an epoch-based dynamic multi-objective evolutionary algorithm that couples an event-conditioned warm-start projection with an exact marginal assignment cost, feasibility-aware destroy-and-repair search and NSGA-II selection, and achieves comparable front quality at an order of magnitude less...
Jia-Hao Tian, Min Zou, Zhi-Fei Li et al.· Applied Sciences· 0 citations
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