The growing need to deal with uncertainties in optimization processes has lead to many new research directions. In robust optimization, an uncertainty set has to be defined containing all scenarios to be considered. Availability of historical data often suggests the use of a discrete or polyhedral uncertainty set. By this, new combinatorial optimization problems are evolved. In this talk, we discuss a few examples of novel combinatorial optimization problems inspired by uncertainties in network design and energy production planning.
Venue: Z 536 (City Campus)
Date: Monday, Januar 7th, 2019, 14:00