This study addresses the bi-objective time-dependent pickup and delivery problem with late
penalties (TDPDPLP). Incorporating time-dependent travel time into the problem formulation …

Container drayage plays a critical role in intermodal global container transportation, as it
accomplishes the first-and last-mile shipment of containers. A container drayage operator …

With the rapid growth of the on-demand logistics industry, large-scale pickup and delivery
with soft time windows has become widespread in various time-critical scenarios. This …

Vehicle routing problems (VRPs), which can be found in numerous real-world applications,
have been an important research topic for several decades. Recently, the neural …

As a branch of the two-dimensional (2D) optimal blanking problem, rectangular strip packing
is a typical non-deterministic polynomial (NP-hard) problem. The classical packing solution …

Recently, there is growing attention on applying deep reinforcement learning (DRL) to solve
the 3D bin packing problem (3D BPP), given its favorable generalization and independence …

Effective scheduling of multiple agricultural machines in emergencies can reduce crop
losses to a great extent. In this paper, cooperative scheduling based on deep reinforcement …

Drone participation in truck delivery is a potential booster for the last-mile logistics system,
which has been an emerging hot research field. Among that, how to arrange a fleet of …

Abstract Vehicle Routing Problem (VRP) is a widespread problem in the transportation field,
which challenges the intelligent level of vehicle decisions. Multi‐Trip Vehicle Routing …

In this paper, we introduce a new variant of large‐scale vehicle routing problem that arises
in the goods distribution of city e‐commerce logistics, the multi‐depot vehicle routing …