Further advancements of nature-inspired processes (Simulated Annealing, Genetic Algorithms, Connectionist Models) for stochastic and dynamic problems as well as suitable parallelization of the methods for the application in distributed systems (e.g. Peer-to-Peer-/Multi-Agent Systems).

Consideration of more advanced vehicle routing models involving electric vehicles, autonomous drones (or droids), and stochastic travel times depending on time of day and weather in order to meet the customer specific time windows.