Alexander Hagg

Wissenschaftlicher Mitarbeiter

Forschungsgebiet

  • Optimierung, insb. evolutionäre Algorithmen
  • Surrogatmodellierung und Maschinelles Lernen, insb. neuronale Netzwerke, Neuroevolution
  • Computer Vision
  • Robotik

Kontakt

Hochschule Bonn-Rhein-Sieg
E-Mail: 
alexander.hagg [at] h-brs.de

Sankt Augustin

Raum: 
A034

Publikationen

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