This paper addresses the design of a parcel delivery system using drones, which includes
the strategic planning of the system and operational planning for a given region. The amount …

In this paper, a new rich Vehicle Routing Problem that could arise in a real life context is
introduced and formalized: the Multi Depot Multi Period Vehicle Routing Problem with a …

Integrating unmanned aerial vehicles (UAVs) as flying base stations (FBSs) is expected to
be an important architectural element in the beyond 5G/6G mobile wireless networks. A key …

This study proposes a drone-based delivery schedul-ing method considering drone failures
to minimize the expected loss of demand (ELOD). An optimization model (DDS-F) is …

Trajectory optimization of unmanned aerial vehicles (UAVs) operating as flying base stations
(FBSs) evolved as a novel integration component in beyond 5G (B5G) networks and has …

This article presents a novel algorithm based on the cluster first-route second method, which
executes a solution through K-means and Optics clustering techniques and Nearest …

One of the main topics with increasing interest in freight transport and logistics is developing
efficient and sustainable supply chain strategies that best cover customer demands and …

This study shows how the process of allocating dynamic routes to vehicles in waste
collection companies results in wastage of resources and time. The purpose of the study is …

Motivated by the transportation needs of modern-day retailers, we consider a variant of the
vehicle routing problem with time windows in which each truck has a variable capacity. In …

In this paper, a new hybrid algorithm based on multi-objective genetic algorithm (MOGA)
using simulated annealing (SA) is proposed for scheduling unrelated parallel machines with …