Variable neighborhood search (VNS) is a framework for building heuristics, based upon
systematic changes of neighborhoods both in a descent phase, to find a local minimum, and …

The efficiency and dynamism of unmanned aerial vehicles, or drones, have presented
substantial application opportunities in several industries in the last years. Notably, logistic …

This review discusses and analyses three main contributions championed by Professor
Mladenović. These include variable neighborhood search (VNS), variable formulation space …

This paper introduces the Electric Vehicle Routing Problem with Drones (EVRPD), the first
VRP combining electric ground vehicles (EVs) with unmanned aerial vehicles (UAVs), also …

The paper presents a Hybrid Tabu Search-Variable Neighborhood Descent (HTS-VND)
metaheuristic algorithm for the Cumulative Capacitated Vehicle Routing Problem with Time …

This paper reviews the papers on the applications of VNS in the health care area by
analyzing the characteristics of VNS in different problems. In the health care field, many …

This paper presents a Cumulative Unmanned Aerial Vehicle Routing Problem (CUAVRP)
approach to optimize Humanitarian Coverage Path Planning (HCPP). Coverage path …

In this paper, we present two swarm intelligence algorithms for the solution of the
Cumulative Capacitated Vehicle Routing Problem. In particular, two hybrid algorithms of the …

This paper aims at providing a fast near‐optimum solution to the multi‐mode resource‐
constrained project scheduling problems (MRCPSPs), for projects with activities that have …

Minimizing total delivery time and carbon footprint in last mile delivery presents a real
challenge in logistic field. Usage of electric vehicles in combination with parcel lockers …