Computational optimisation
Computational optimisation is widely used in science, engineering, economics, and industry. Researchers in our group develop cutting-edge theories and algorithms that push the limits in optimisation.
Much of the work is supported by various outside organisations and carried out with their collaboration. Recent examples include the European Space Agency, EPSRC, Boeing Defense, ThyssenKrupp, Alcatel-Lucent, Bell Labs, Qualcomm and the Brussels Capital-Region.
Our current research interests include:
- decision making under uncertainty
- optimisation in data dimension reduction and visualization
- multi-objective and bi-level optimisation
- discrete optimisation
- non-smooth optimisation
- optimisation methods in game theory
- optimisation in finance