Optimization problems need to be solved in almost every domain. Nurses and doctors, for example, need to be assigned to shifts in a hospital without violating given constraints, investment portfolios have to be built in order to maximize the return, or the many parameters of a weather forecast model have to be chosen in order to best fit previously measured data.
In this advanced course on optimization, we go deeper into some of the aspects, touched in the introductory course, with a focus on blackbox optimization problems. In particular, we aim at preparing you for a possible Master's or PhD thesis on the topic of (blackbox) optimization.
The lecture covers both fundamental theoretical aspects and algorithm design concepts with the three main topics of discrete optimization, continuous optimization, and multiobjective optimization.
The lecture is given jointly by Anne Auger and Dimo Brockhoff from November 2016 till February 2017 in a total of 7x3hrs.
In case you are interested in pursuing the topic during a Master's thesis project, please see this list of thesis projects.
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