2019
Solving Optimization Problems with High Conditioning by Means of Online Whitening Proceedings Article
In: Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019.
2017
Comparing Kriging and Radial Basis Function Surrogates Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 243-259, Universitätsverlag Karlsruhe, 2017.
Constraint Handling in Efficient Global Optimization Proceedings Article
In: Bosman, Peter A. N. (Hrsg.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, S. 1, ACM, 2017.
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Journal Article
In: Applied Soft Computing, vol. 61, S. 377-393, 2017, ISSN: 1568-4946.
2016
Online Selection of Surrogate Models for Constrained Black-Box Optimization Proceedings Article
In: Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (**Best Student Paper Award**).
Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Proceedings Article
In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1924–1931, IEEE, 2016.
2015
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, no. 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**).
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.
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.
2014
Constrained Optimization with a Limited Number of Function Evaluations Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 24. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2014, (**Young Author Award**).
Suchfeld
Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems PhD Thesis
Leiden University and TH Köln, 2020, (PhD thesis, TH Köln dissertation price 2020).
Solving Optimization Problems with High Conditioning by Means of Online Whitening Proceedings Article
In: Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019.
Comparing Kriging and Radial Basis Function Surrogates Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 243-259, Universitätsverlag Karlsruhe, 2017.
Constraint Handling in Efficient Global Optimization Proceedings Article
In: Bosman, Peter A. N. (Hrsg.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, S. 1, ACM, 2017.
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Journal Article
In: Applied Soft Computing, vol. 61, S. 377-393, 2017, ISSN: 1568-4946.
Online Selection of Surrogate Models for Constrained Black-Box Optimization Proceedings Article
In: Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (**Best Student Paper Award**).
Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Proceedings Article
In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1924–1931, IEEE, 2016.
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, no. 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**).
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.