Stochastic shortest path (SSP) computations are often performed under very strict time constraints, so computational efficiency is critical. A major determinant for the CPU number of scenarios used. We demonstrate that by carefully picking right scenario generation method finding scenarios, quality can be improved substantially over random sampling a given scenarios. study extensive SSP instanc...

The bandwidth problem is one of the most serious problems for multi-hop wireless mesh networks (WMNs) due to the influence of link interference. In this paper, we study joint problem of interference-aware bandwidth guaranteed scheduling and shortest path routing in IEEE 802.11-based multi-channel wireless mesh networks with dynamic traffic. We present distributed bandwidth guaranteed TDMA sched...

Inverse Combinatorial Optimization has become a relevant research subject over the past decades. In graph theory, the Inverse Shortest Path Length problem becomes relevant when people don’t have access to the real cost of the arcs and want to infer their value so that the system has a specific outcome, such as one or more shortest paths between nodes. Several approaches have been proposed to ta...

We show that memristive networks, namely networks of resistors with memory, can efficiently solve shortest-path optimization problems. Indeed, the presence of memory (time nonlocality) promotes self organization of the network into the shortest possible path(s). We introduce a network entropy function to characterize the self-organized evolution, show the solution of the shortest-path problem a...

The Internet is constantly growing but the available resources, i.e. bandwidth, are limited. Using bandwidth efficiently to provide high quality of service to users is referred to as traffic engineering. This is of utmost importance. Traffic in IP networks is commonly routed along shortest paths with respect to auxiliary link weights, e.g. using the OSPF or IS-IS protocol. Here, shortest path r...