The COSEAL research group is an international consortium of researchers from all over the world (e.g. Belgium, Canada, Ireland, Denmark and Germany) which addresses current challenges from Algorithm Selection, Algorithm Configuration and Machine Learning.
Project status in progress Project time 01.02.2013- 01.01.2030 Website http://www.coseal.net Keywords algorithm selection, configuration, machine learning
Joint research project: Identifying, verifying, and stopping concealed propaganda attacks via online media - Sub-Project: Coordination of simulation, identification, and defense against concealed propaganda attacks
This project addresses the identification and verification of (semi-)automated concealed propaganda in online media (e.g. in social networks) as an interdisciplinary approach.
Project status in progress Project time 01.06.2016- 30.11.2019 Website http://www.propstop.de Funding source Federal Ministry of Education and Research Project number 16KIS0495K Keywords Information Systems, Social Media, Propaganda, Public Opinion, Web
EMO 2017 is the 9th International Conference on Evolutionary Multi- Criterion Optimization, aiming to continue the success of previous EMO conferences. We will bring together both the EMO and the multiple criteria decision making (MCDM) communities and moreover focus on solving real-world problems in government, business and industry. The classical EMO format will be supplemented by an EMO competition.
Project status definitely finished Project time 19.03.2017- 22.03.2017 Website http://www.emo2017.org Funding source DFG - International Scientific Events Project number TR 891/9-1 Keywords Evolutionary Multiobjective Optimization
The project aimed at setting up a method for structural optimization that enables the planning engineer to design a distributed energy supply system of near-optimal quality.
Project status definitely finished Project time 01.06.2010- 31.08.2013 Website http://www.ltt.rwth-aachen.de/de/forschung/energiesystemtechnik/energiesystemtechnik/project/Strukturoptimierung_von_Energiev/ Keywords Optimization; Energy Supply Systems; MINLP; Multi-criterial Optimization