Network optimization exploits mathematical synergies arising from structural similarities in diverse application areas such as transportation, telecommunication, utilities, or electronic circuits.

ZIB’s research aims at the solution of integrated multi-level, multi-layer, and multi-agent problems by innovative methods from algorithmic (hyper)graph and game theory, polyhedral combinatorics, mixed-integer non-linear programming, and convex optimization. Applications include ICE rotation planning, aircraft routing, highway toll enforcement, fiber-to-the-X network design, and gas network control.

Past Projects