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Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 06/15; arXiv: 1512.09251, 2015, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1512.09251).
SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (**Young Author Award**).
Reinforcement Learning for Board Games: The Temporal Difference Algorithm Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.
SVM ensembles are better when different kernel types are combined Book Section
In: Lausen, Berthold; Krolak-Schwerdt, Sabine (Hrsg.): Data Science, Learning by Latent Structures, and Knowledge Discovery, S. 191–201, Springer, 2015.
Efficient Surrogate Assisted Optimization for Constrained Black-Box Problems Masters Thesis
TH Köln -- University of Applied Sciences, 2015, (Master thesis, 3rd price in Erzquell award 2015 and DAAD award 2015).
Temporal Difference Learning Methods with Automatic Step-Size Adaption for Strategic Board Games: Connect-4 and Dots-and-Boxes Masters Thesis
TH Köln -- University of Applied Sciences, 2015, (Master thesis, Festo award 2015).
A New Repair Method For Constrained Optimization Proceedings Article
In: Jiménez-Laredo, Juan Luis (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference (GECCO'15), 2015.
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015, (Updated version 2015).
The rCMA Tutorial: Examples for using CMA-ES in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.
Efficient multi-criteria optimization on noisy machine learning problems Journal Article
In: Applied Soft Computing, Bd. 29, S. 357-370, 2015.
