Recent challenges in Routing and Inventory Routing: E‐commerce and last‐mile delivery

C Archetti, L Bertazzi - Networks, 2021 - Wiley Online Library
In the e‐commerce era, vendors have to satisfy a large number of on‐line orders, mainly
from private customers, with low weight and volume, reduced delivery time, and overlap of …

Vehicle routing problems over time: a survey

A Mor, MG Speranza - Annals of Operations Research, 2022 - Springer
In vehicle routing problems (VRPs) the decisions to be taken concern the assignment of
customers to vehicles and the sequencing of the customers assigned to each vehicle …

Deep reinforcement learning for the dynamic and uncertain vehicle routing problem

W Pan, SQ Liu - Applied Intelligence, 2023 - Springer
Accurate and real-time tracking for real-world urban logistics has become a popular
research topic in the field of intelligent transportation. While the routing of urban logistic …

A branch-and-regret algorithm for the same-day delivery problem

JF Côté, TA de Queiroz, F Gallesi, M Iori - Transportation Research Part E …, 2023 - Elsevier
We study a dynamic vehicle routing problem where stochastic customers request urgent
deliveries characterized by restricted time windows. The aim is to use a fleet of vehicles to …

A transfer learning-based particle swarm optimization algorithm for travelling salesman problem

R Zheng, Y Zhang, K Yang - Journal of Computational Design …, 2022 - academic.oup.com
To solve travelling salesman problems (TSPs), most existing evolutionary algorithms search
for optimal solutions from zero initial information without taking advantage of the historical …

Solving traveling salesman problem using hybridization of rider optimization and spotted hyena optimization algorithm

MM Krishna, N Panda, SK Majhi - Expert Systems with Applications, 2021 - Elsevier
Abstract Traveling Salesman Problem (TSP) is the combinatorial optimization problem,
where a salesman starting from a home city travels all the other cities and returns to the …

Sustainable urban delivery: the learning process of path costs enhanced by information and communication technologies

F Russo, A Comi - Sustainability, 2021 - mdpi.com
Today, local administrations are faced with the presence of greater constraints in terms of
the use of space and time. At the same time, large amount of data is available to fleet …

Dynamic scheduling of patients in emergency departments

TA de Queiroz, M Iori, A Kramer, YH Kuo - European Journal of Operational …, 2023 - Elsevier
Emergency department overcrowding is a global issue that poses a great threat to patient
health and safety. The timeliness of medical services provided to patients is crucial to …

Fleet resupply by drones for last-mile delivery

JC Pina-Pardo, DF Silva, AE Smith… - European Journal of …, 2024 - Elsevier
Abstract The Vehicle Routing Problem with Release Dates and Drone Resupply consists of
routing a fleet of trucks to deliver orders that arrive at a depot over time. During the delivery …

A deep reinforcement learning based real-time solution policy for the traveling salesman problem

Z Ling, Y Zhang, X Chen - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The rapid development of logistics and navigation has led to increasing demand for solving
route optimization problems in real-time. The traveling salesman problem (TSP) tends to …