Dirk Schweim

Office hours:
01/259 (ReWi I)
+49 6131 39 - 22017
+49 6131 39 - 22185
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Wednesday, 11.00 a.m. - 12.00 p.m.


Research Interests

  • Machine learning, in particular neural networks
  • Estimation of Distribution Algorithms (EDAs) for combinatorial optimization problems with variable-length encoding
  • Genetic Programming

Current research project: EDAs for variable-length encoding problems using neural network models


  • Lecturer of the course "Wirtschaftsmathematik / Statistik I" (introductory course mathematics for undergraduate students) at the RheinMain University of Applied Sciences (ST 2018)
  • Exercise for the lecture "Intelligent Information Systems" (ST 2017, ST 2018, ST 2019)
  • Exercise for the lecture "Entwicklung von betrieblichen Informationssystemen" ("Development of business information systems"; WT 2016/17, WT 2017/18, WT 2018/19, WT 2019/20)
  • Coordination of the tutorial for the lecture "Internettechnologien und E-Business" ("Web technologies and e-business"; WT 2016/17, WT 2017/18)
  • Lecturer of the preparation course for the SAP TERP 10 consultant certification (October 2017, September 2018, September/October 2020)
  • Supervision of Bachelor- and Master seminar work as well as Bachelor and Master theses (since WT 2016/17)
  • Tutor for "Internet technologies and E-Business" (WT 15/16)


  • Since 07/2016
Research Assistant at the Chair of Information Systems and Business Administration, Prof. Dr. Franz Rothlauf
  • 10/2013 - 06/2016
Master of Science Management, Johannes Gutenberg University of Mainz
  • 11/2014 - 05/2016
Project Management Assistant at R+V (insurance company, part-time)
  • 11/2013 - 04/2014
Working freelance for IBM Germany
  • 10/2011 - 10/2013
Project Manager for complex IT Infrastructure Projects at IBM Germany
  • 10/2008 - 09/2011
Corporate student at IBM Germany
  • 10/2008 - 09/2011
Bachelor of Science in Business and Computer Science, HWR Berlin - School of Economics and Law


  • Wittenberg, David; Rothlauf, Franz; Schweim, Dirk: DAE-GP: Denoising Autoencoder LSTM Networks as Probabilistic Models in Estimation of Distribution Genetic Programming, In: ACM Press (Hrsg.): Proceedings of the 2020 Genetic and Evolutionary Computation Conference. 2020. S. 1037-1045
  • Schweim, Dirk; Thorhauer, Ann; Rothlauf, Franz: On the Non-uniform Redundancy of Representations for Grammatical Evolution: The Influence of Grammars, In: Ryan, Conor; O'Neill, Michael; Collins, JJ (Hrsg.): Handbook of Grammatical Evolution. Springer, Heidelberg, 2018. S. 55-78.
  • Schweim, Dirk; Rothlauf, Franz: An Analysis of the Bias of Variation Operators of Estimation of Distribution Programming., In: ACM Press (Hrsg.): Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, July 15th-19th 2018. 2018.


  • Journal of Applied Mathematical Modelling