Table of Contents
Roman Kalkreuth
| Room: | 209 |
| Phone: | +49 231 755-7714 |
| Fax: | +49 231 755 7740 |
| E-Mail: | roman.kalkreuth(at)tu-dortmund.de |
Curriculum Vitae: cv_roman_kalkreuth.pdf
ORCiD: 0000-0003-1449-5131
Consultation hours
By appointment via e-mail
Research Interests
- Evolutionary Algorithms, in particular Genetic Programming and Cartesian Genetic Programming
- Evolutionary Multiobjective Optimization
- Evolutionary Computation for Image Processing and Analysis
Teaching
Winter term 2020/21
Summer term 2020
Winter term 2019/20
Summer term 2019
Winter term 2018/19
Summer term 2018
Winter term 2017/18
Summer term 2017
Winter term 2016/17
Summer term 2016
Winter term 2015/16
Invited Talks
2015 - Genetic Programming and Cartesian Genetic Programming - Fachhochschule Südwestfalen (Iserlohn)
Publications
L. Sotto, P. Kaufmann, T. Atkinson, R. Kalkreuth, M. Porto Basgalupp: Graph representations in genetic programming”, Genetic Programming and Evolvable Machines, Springer, 2021
R. Kalkreuth: An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming, In Studies in Computational Intelligence 922, Springer Nature Switzerland 2021
R. Kalkreuth: A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming, In Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020), 2020
L. Sotto, P. Kaufmann, T. Atkinson, R. Kalkreuth, and M. Basgalupp. A Study on Graph Representations for Genetic Programming. In GECCO '20, Annual Genetic and Evolutionary Computation Conference, ACM, 2020.
P. Kaufmann and R. Kalkreuth. On the Parameterization of Cartesian Genetic Programming. In IEEE Congress on Evolutionary Computation (CEC). . Proceedings of 2020 IEEE Congress on Evolutionary Computation (CEC 2020),IEEE, 2020.
R. Kalkreuth: Two New Mutation Techniques for Cartesian Genetic Programming, in Proceedings of the 11th International Joint Con- ference on Computational Intelligence (IJCCI 2019), 2019, Vienna (Austria) - Best Student Paper Nomination
R. Kalkreuth and A. Droschinsky: On the Time Complexity of Simple Cartesian Genetic Programming, in Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019), 2019, Vienna (Austria) - Best Poster Nomination
J. Husa and R. Kalkreuth: A Comparative Study on Crossover in Cartesian Genetic Programming, in Proceedings of the 21th European Conference on Genetic Programming (EuroGP 2018), 4 - 6 April 2018, Parma (Italy)
P. Kaufmann and R. Kalkreuth: Parametrizing Cartesian Genetic Programming: An Empirical Study , in GECCO '17 Companion, Annual Genetic and Evolutionary Computation Conference, Berlin (Germany), 2017
P. Kaufmann and R. Kalkreuth: An Emperical Study on the Parametrization of Cartesian Genetic Programming, in Proceedings of 40th Annual German Conference on AI, September 25 - 29 2017, Dortmund (Germany)
R. Kalkreuth, G. Rudolph, and A. Droschinsky: A New Subgraph Crossover for Cartesian Genetic Programming , accepted for publication in Proceedings of the 20th European Conference on Genetic Programming (EuroGP 2017), 19 - 21 April 2017, Amsterdam (The Netherlands).
R. Kalkreuth, G. Rudolph, and J. Krone: More Efficient Evolution of Small Genetic Programs in Cartesian Genetic Programming by Using Genotypic Age, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), 25 - 29 July 2016, Vancouver (Canada)
R. Kalkreuth, G. Rudolph and J. Krone: Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection, in 2015 IEEE Symposium Series on Computational Intelligence: Symposium on Foundations of Computational Intelligence (2015 IEEE FOCI), Cape Town, South Africa, 2015
R. Kalkreuth, G. Rudolph und J. Krone: Automatische Generierung von Bildoperationsketten mittels genetischer Programmierung und CMA-Evolutionsstrategie, pp. 95-112 in F. Hoffmann and E. Hüllermeier (eds.): Proceedings of the 24th GMA Workshop on Computational Intelligence, Universitätsverlag Karlsruhe 2014
R. Kalkreuth, J. Krone und M. Schneider : Automatische Generierung von Bildoperationsketten mittels genetischer Programmierung, pp. 325-340 in F. Hoffmann and E. Hüllermeier (eds.): Proceedings of the 22th GMA Workshop on Computational Intelligence, Universitätsverlag Karlsruhe 2012