Nowadays, operational decision problems on a strategic and operative level often show a complexity that can no longer be mastered by human judgment alone. Increasingly, software tools are needed that provide decision support based on quantitative models and algorithms.
Often, high-dimensional discrete optimization problems with a multitude of operational constraints have to be solved, whose modeling is demanding and whose algorithmic handling reaches the limits of feasibility.
This course gives an introduction to the development of problem-specific heuristics and metaheuristics, and mathematical modeling using Integer Linear Programming (ILP), and shows how corresponding optimization algorithms are developed and applied in practice.
