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


Helena Stegherr
2021 | 2020 | 2019


Helena Stegherr and Jörg Hähner. 2021. Analysing metaheuristic components.
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Helena Stegherr, Michael Heider, Leopold Luley and Jörg Hähner. 2021. Design of large-scale metaheuristic component studies. DOI: 10.1145/3449726.3463168
PDF | BibTeX | RIS | DOI


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
PDF | BibTeX | RIS | DOI

Lukas Rosenbauer, Anthony Stein, Helena Stegherr and Jörg Hähner. 2020. Metaheuristics for the minimum set cover problem: a comparison. DOI: 10.5220/0010019901230130
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Helena Stegherr, Anthony Stein and Jörg Hähner. 2019. Parallel chemical reaction optimization for utilization in intelligent RNA prediction systems.
BibTeX | RIS | URL


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

(applied filters: semester: current | institute: Organic Computing | lecturers: Helena Stegherr | course types: all)

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