Within the framework of the OEAD programme "Scientific and Technical Cooperation" (STC), the project "Collective Evolutionary Strategies for Distributed Learning on Non-Euclidean Data" intends to establish joint research activities between the Research Centre Business Informatics of the University of Applied Sciences Vorarlberg and the Department of Mathematics of the University of Montenegro.
 
Over the two-year period, the project teams will work out joint research questions in several bilateral workshops. The focus will be on the following topics:
- Evolutionary Algorithms
- Self-organising complex physical systems
 
In order to combine these topics, problems with non-euclidean geometry will be considered in particular. Applications of such problems are for example:
- in simultaneous communication between actors
- in shape optimisation for the purpose of image recognition/computer graphics
- in designing neural networks for dynamic problems
 
Besides the development of new methods, the collaboration will be used to prepare further joint research projects.

Facts

Project nameCollective Evolutionary Strategies for Distributed Learning on Non-Euclidean Data
ProgrammeÖsterreichischer Austauschdienst (OEAD)
TopicBasic research
Project index numberME 06/2020
Project durationJanuar 2021 - Dezember 2022
Project budget7.200,00 EUR

Contact

Dr. rer. nat. Michael Hellwig
Research Assistant

+43 5572 792 7112
michael.hellwig@fhv.at

Details

Prof. (FH) Dipl.-Ing. Dr. rer. nat. habil. Hans-Georg Beyer
Research professor: Computational Intelligence especially Evolutionary Algorithms

+43 5572 792 7102
hans-georg.beyer@fhv.at

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Details

Dr.-Ing. Steffen Finck
Head of Josef Ressel Centre of Applied Scientific Computing

+43 5572 792 7122
steffen.finck@fhv.at

Details