To explore the value of minimum distance that all vehicles travel in each time of route planning. (The type of the objective function can be something other than distance if one wish, such as time, ...

Vehicle routing optimisation encompasses a range of mathematical and computational strategies aimed at determining the most efficient routes for vehicle fleets. This field addresses challenges such as ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

Abstract: The weighted vehicle routing problem (WVRP) is a very important extended vehicle routing problem during post-disaster scenarios for it considers not only the arrival time but also the ...

Abstract: In large-scale satellite networks, end-to-end data delivery confronts long propagation latency and dynamical connectivity, heavily challenging current routing strategies due to the ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...