Recent years have witnessed great advancements in the science and technology of
autonomy, robotics, and networking. This paper surveys recent concepts and algorithms for …

While methods for optimization under uncertainty have been studied intensely over the past
decades, the explicit consideration of the interplay between uncertainty and time has gained …

Research on dynamic and stochastic vehicle routing problems received increasing interest
in the last decade. It considers a novel problem class, aiming at an appropriate handling of …

The notion of the infinite population limit of large population games where agents are
realized by controlled stochastic dynamical systems is introduced. The theory of infinite …

Observing mobile or static targets in the ground using flying drones is a common task for
civilian and military applications. We introduce the minimum cost drone location problem …

Debris management is one of the most time consuming and complicated activities among
post-disaster operations. Debris clearance is aimed at pushing the debris to the sides of the …

This paper addresses the mobile targets covering problem by using unmanned aerial
vehicles (UAVs). It is assumed that each UAV has a limited initial energy and the energy …

Dynamic classification decision making is a crucial issue in management decision making
and data mining, which is widely applied in different areas such as human-machine …

Hinterland networks for container transportation require planning methods in order to
increase efficiency and reliability of the inland road, rail and waterway connections. In this …

Deterministic optimization has enjoyed a rich place in transportation and logistics, where it
represents a mature field with established modeling and algorithmic strategies. By contrast …