Use What You Know: Network and Service Coordination Beyond Certainty
S. Werner, S.B. Schneider, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.

Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
J. Bossek, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp. 198–206.

Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem
V. Roostapour, J. Bossek, F. Neumann, in: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 551–559.

On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem
J. Bossek, C. Grimme, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2019, pp. 516–523.

Removing Undesirable Flows by Edge Deletion
G. Polevoy, S. Trajanovski, P. Grosso, C. de Laat, in: D. Kim, R.N. Uma, A. Zelikovsky (Eds.), Combinatorial Optimization and Applications, Springer International Publishing, Cham, 2018, pp. 217–232.

An MCTS-based Framework for Synthesis of Approximate Circuits
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–224.

A Systematic Approach to Combined HW/SW System Test
A. Krupp, W. Müller, in: Proceedings of DATE’10, IEEE, Dresden, 2010.

Classification Trees for Functional Coverage and Random Test Generation
A. Krupp, W. Müller, in: Proceedings of the Design Automation &; Test in Europe Conference, IEEE, Munich, Germany, 2006.