AA3 – Next Generation Networks



Convex Solver Adaptivity for Mixed-Integer Optimization

Project Heads

Mathieu Besançon, Ralf Borndörfer, Sebastian Pokutta

Project Members


Project Duration

01.04.2023 – 31.03.2026

Located at



We want to investigate mixed-integer optimization with a convex differentiable objective and solution approaches based on error-adaptive convex solvers in branch-and-bound. We will focus on lower bound improvements within the tree and the tradeoff between the lower bound increase and computational costs of strong relaxations.

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