Over the past decades, the Vehicle Routing Problem (VRP) and its variants have grown ever
more popular in the academic literature. Yet, the problem characteristics and assumptions …

Randomized heuristics are widely used to solve large scale combinatorial optimization
problems. Among the plethora of randomized heuristics, this paper reviews those that …

The transportation sector accounts for a significant amount of greenhouse gas emissions. To
mitigate this problem, electric vehicles have been widely recommended as green vehicles …

This paper analyzes the fleet mixed vehicle‐routing problem with backhauls, a rich and
realistic variant of the popular vehicle‐routing problem in which both delivery and pick‐up …

In this paper, the green vehicle routing problem with time windows constraint is studied in
the presence of a heterogeneous fleet of vehicles and filling stations. In addition, the number …

Motivated by the promising advances of deep-reinforcement learning (DRL) applied to
cooperative multi-agent systems we propose a model and learning procedure to solve the …

The introduction of Electric Vehicles (EVs) in modern fleets facilitates green road
transportation. However, the driving ranges of EVs are limited by the duration of their …

This study considers a variant of the vehicle routing problem (VRP) called the
heterogeneous VRP with simultaneous pickup and delivery (HVRPSPD). The HVRPSPD …

Abstract Rich Vehicle Routing Problems (RVRPs) refer to complex and realistic extensions
of the classical Vehicle Routing Problem. They constitute a hot topic in logistics due to their …

The multi-depot electric vehicle routing problem with time windows (MDEVRPTW) is an
extension of the electric vehicle routing problem with time windows (EVRPTW). Due to the …