Electric vehicles (EVs) are witnessing a surge in demand and production for their
environmental benefits. This study reviews the development of electric vehicle routing …

In order to ensure high-quality and on-time delivery in logistic distribution processes, it is
necessary to efficiently manage the delivery fleet. Nowadays, due to the new policies and …

Existing deep reinforcement learning (DRL)-based methods for solving the capacitated
vehicle routing problem (CVRP) intrinsically cope with a homogeneous vehicle fleet, in …

Due to new regulations and further technological progress in the field of electric vehicles, the
research community faces the new challenge of incorporating the electric energy based …

The Vehicle Routing Problem (VRP) is a well-known research line in the optimization
research community. Its different basic variants have been widely explored in the literature …

The green vehicle routing and scheduling problem (GVRSP) aims to minimize green-house
gas emissions in logistics systems through better planning of deliveries/pickups made by a …

It has been around 30 years since the heterogeneous vehicle routing problem was
introduced, and significant progress has since been made on this problem and its variants …

This study investigates a practical heterogeneous vehicle routing problem that involves
routing a predefined fleet with different vehicle capacities to serve a series of customers to …

Vehicle routing attributes are extra characteristics and decisions that complement the
academic problem formulations and aim to properly account for real-life application needs …

This paper introduces the fleet size and mix pollution-routing problem which extends the
pollution-routing problem by considering a heterogeneous vehicle fleet. The main objective …