We introduce PyVRP, a Python package that implements hybrid genetic search in a state-of-
the-art vehicle routing problem (VRP) solver. The package is designed for the VRP with time …

Solving vehicle routing problems (VRPs) is an essential task for many industrial
applications. Although VRPs have been traditionally studied in the operations research (OR) …

A challenge in same-day delivery operations is that delivery requests are typically not known
beforehand, but are instead revealed dynamically during the day. This uncertainty …

In this work, we present a regret policy for the dynamic vehicle routing problem with time
windows (DVRPTW) in which customer order arrivals are revealed over a day and which …

The dynamic vehicle routing problem with time windows (DVRPTW) is a generalization of
the classical VRPTW to an online setting, where customer data arrives in batches and real …

This thesis addresses logistical challenges across energy, routing, and education through
novel decision models and solution techniques. It emphasises fast, effective decision …

The minimum covariance determinant (MCD) approach estimates the location and scatter
matrix using the subset of given size with lowest sample covariance determinant. Its main …