2021-2026 Publications
All
Articles
Communications
Other publications
2026
O. Fourquet, D. Afenteva, K. Zhang, S. Hautaniemi, M. Krejca, C. Doerr, B. Schwikowski : “Identification of Monotonically Classifying Pairs of Genes for Ordinal Disease Outcomes ”, Bioinformatics Advances, vol. 6 (1), pp. vbag143, (Oxford academic) (2026)
2025
2023
2022
S. Cohen, Ph. Fischbeck, T. Friedrich, M. Krejca, Th. Sauerwald : “Accelerated Information Dissemination on Networks with Local and Global Edges ”, 29th International Colloquium on Structural Information and Communication Complexity (SIROCCO), Paderborn, Germany, pp. 79-97 (2022)
T. Friedrich, A. Göbel, M. Katzmann, M. Krejca, M. Pappik : “Algorithms for hard-constraint point processes via discretization ”, International Computing and Combinatorics Conference (COCOON), Shenzhen, China, pp. 242-254, (Springer) (2022)
T. Friedrich, T. Kötzing, M. Krejca, A. Rajabi : “Escaping Local Optima With Local Search: A Theory-Driven Discussion ”, Parallel Problem Solving from Nature (PPSN) XVII, Dortmund, Germany, pp. 442-455 (2022)
A. Biedenkapp, N. Dang, M. Krejca, F. Hutter, C. Doerr : “Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration ”, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, United States, pp. 766-775 (2022)
2021
Th. Bläsius, T. Friedrich, M. Krejca, L. Molitor : “The Impact of Geometry on Monochrome Regions in the Flip Schelling Process ”, The 32nd International Symposium on Algorithms and Computation (ISAAC 2021), Fukuoka, Japan, pp. 29:1-29:17 (2021)
T. Friedrich, A. Göbel, M. Krejca, M. Pappik : “A spectral independence view on hard spheres via block dynamics ”, Proceedings of the International Colloquium on Automata, Languages and Programming 2021, vol. 198, Glasgow, United Kingdom, pp. 66:1-66:15 (2021)
M. Böther, L. Schiller, Ph. Fischbeck, L. Molitor, M. Krejca, T. Friedrich : “Evolutionary Minimization of Traffic Congestion ”, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Lille (en ligne), France, pp. 937-945, (Association for Computing Machinery) (2021)
B. Doerr, M. Krejca : “The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis ”, Evolutionary Computation, vol. 29 (4), pp. 543-563, (Massachusetts Institute of Technology Press (MIT Press)) (2021)