As energy overuse and generated pollution have a potential threat to our environmental and
ecological conditions, many researchers have taken the initiative way to join the green …

Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with
significant market potential. UAVs may lead to substantial cost savings in, for instance …

We present an end-to-end framework for solving the Vehicle Routing Problem (VRP) using
reinforcement learning. In this approach, we train a single policy model that finds near …

The vehicle routing problem with drones (VRPD) is an extension of the classic capacitated
vehicle routing problem, where not only trucks but drones are used to deliver parcels to …

Vehicle routing problems have been the focus of extensive research over the past sixty
years, driven by their economic importance and their theoretical interest. The diversity of …

Ride-sharing services are transforming urban mobility by providing timely and convenient
transportation to anybody, anywhere, and anytime. These services present enormous …

Abstract Covid-19, the global pandemic, has taught us the importance of contactless delivery
service and robotic automation. Using self-driving delivery robots can provide flexibility for …

Recently, a taxonomic review of the Vehicle Routing Problem (VRP) literature published
between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics …

This paper is concerned with solving combinatorial optimization problems, in particular, the
capacitated vehicle routing problems (CVRP). Classical Operations Research (OR) …

In this paper, we introduce the vehicle routing problem with drones (VRPD). A fleet of trucks
equipped with drones delivers packages to customers. Drones can be dispatched from and …