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 ...
Abstract: Traditional routing techniques face considerable challenges in large-scale Low Earth Orbit (LEO) satellite networks for Internet of Things (IoT) data backhaul, such as slow convergence speed ...
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 ...