Alexander Hagg

Wissenschaftlicher Mitarbeiter

Field of research

  • Optimization, in particular evolutionary algorithms
  • Surrogate Modeling and Machine Learning, in particular neural networks, neuroevolution
  • Computer Vision
  • Robotics


Hochschule Bonn-Rhein-Sieg
alexander.hagg [at]

Sankt Augustin



  • Hagg, A., Asteroth, A., Bäck, T. Prototype Discovery using Quality-Diversity (PPSN 2018)
  • Hagg, A. (2017). Hierarchical Surrogate Modeling for Illumination Algorithms. (GECCO).
  • Hagg, A., Mensing M., Asteroth A. (2017). Evolving Parsimonious Networks by Mixing Activation Functions. (GECCO).
  • Spieker H., Hagg, A., Gaier, A., Meilinger, S., Aster-oth, A. (2016). Multi-stage evolution of single-and multi-objective MCLP. (Soft Computing).
  • Hagg, A., Hegger, F., Plöger, P. (2016). On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities. (RoboCup International Symposium).
  • Asteroth, A., Hagg, A. (2015). How to successfully apply genetic algorithms in practice: Representation and parametrization. (INISTA).
  • Spieker, H., Hagg, A., Asteroth, A., Meilinger, S., Jacobs, V., Oslislo, A. (2015). Successive evolution of charging station placement. (INISTA)