In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …

Vehicle routing problems have been the focus of extensive research over the past sixty
years, driven by their economic importance and their theoretical interest. The diversity of …

Recent decades have seen increasing utilization of optimization packages, based on
Operations Research and Mathematical Programming techniques, for effective management …

When planning routes for fleets of electric commercial vehicles, it is necessary to precisely
predict the energy required to drive and plan for charging whenever needed, in order to …

In the vehicle routing problem with simultaneous pickup and delivery (VRPSPD), goods
have to be transported from different origins to different destinations, and each customer has …

In this paper, we present a multi-objective vehicle routing problem with flexible time windows
(MOVRPFlexTW). In this problem, a fleet of vehicles can service a set of customers earlier …

We present a mathematical formulation and a heuristic solution approach for the optimal
planning of delivery routes in a multi-modal system combining truck and Unmanned Aerial …

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 …

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 …

Heterogeneous fleet vehicles can be used to reduce carbon emissions. We propose an
improved branch-and-price (BAP) algorithm to precisely solve the heterogeneous fleet …