Research foci
My research is focussed on nature-inspired (meta-)heuristics. The extension and the parallelisation of metaheuristics is part of my work, as well as the development of a strategy for their classification and categorisation. This strategy aims to facilitate comparing metaheuristics in terms of quality and originality. I am also interested in combining metaheuristics with machine learning techniques. Furthermore, I apply the heuristics to problems from the field of bioinformatics.
- Nature-inspired metaheuristics
- Classification and categorisation of metaheuristics
- Parallel and distributed algorithms
- Bioinformatics
Publications
2020 |
Helena Stegherr, Michael Heider and Jörg Hähner. in press. Classifying metaheuristics: towards a unified multi-level classification system. DOI: 10.1007/s11047-020-09824-0 |
Lukas Rosenbauer, Anthony Stein, Helena Stegherr and Jörg Hähner. 2020. Metaheuristics for the minimum set cover problem: a comparison. DOI: 10.5220/0010019901230130 |
2019 |
Helena Stegherr, Anthony Stein and Jörg Hähner. 2019. Parallel chemical reaction optimization for utilization in intelligent RNA prediction systems. |
Curriculum/Vitae
since 2019 | Research Assistant with the chair for Organic Computing |
2015–2019 | Bachelor programme Computer Science at the University of Augsburg |
2012–2014 | Master programme Biochemistry at the University of Ulm |
2009–2012 | Bachelor programme Biochemistry at the University of Ulm |
Courses / teaching
name | semester | type |
---|---|---|
Studentische Arbeiten am Lehrstuhl Organic Computing | winter semester 2020/21 | sonstige |
Kommunikationssysteme | winter semester 2020/21 | Vorlesung |
Seminar über Ad-hoc- und Sensornetze | winter semester 2020/21 | Seminar |
Seminar über Organic Computing | winter semester 2020/21 | Seminar |
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