Vehicle routing problem with time windows (VRPTW) is a practical and complex vehicle
routing problem (VRP) which is faced by thousands of companies in logistics and …

Vehicle routing problem (VRP) is a well known NP-hard combinatorial optimization problem
having several variants. In this paper, we consider VRP along with additional constraints of …

Vehicle routing problem with time windows (VRPTW) is an important topic in modern
delivery companies. Optimizing the vehicle routes not only reduces the transportation cost …

Recently, it is promising to apply deep reinforcement learning (DRL) to the vehicle routing
problem (VRP), which is widely employed in modern logistics systems. A practical extension …

Vehicle routing problem with time window (VRPTW) is of great importance for a wide
spectrum of services and real-life applications, such as online take-out and car-hailing …

The vehicle routing problem with time windows (VRPTW) as one of the most known
combinatorial operations (CO) problem is considered to be a tough issue in practice and the …

Time dependencies of travel speeds in time-dependent vehicle routing problems (TDVRPs)
are usually accounted for by discretizing the planning horizon into several time periods …

The Vehicle Routing Problem with Time Windows (VRPTW) has been widely studied in the
Operations Research (OR) literature given its increasingly widespread applications, ranging …

This paper presents an end-to-end AC-D model for addressing the Vehicle Routing Problem
with Time Windows (VRPTW) using reinforcement learning techniques. The proposed model …

The vehicle routing problem (VRP) and its variants have been extensively studied for many
decades due to its ubiquitous applications in industry such as logistics and transportation …