A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
A. Bender, Machines 9 (2021).

Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties
A. Bender, W. Sextro, in: P. Do, S. King,  Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers &; Operations Research 136 (2021) 105489.

Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers
D. Beverungen, D. Kundisch, N. Wünderlich, Journal of Service Management 32 (2021) 507–532.

The Online Multi-Commodity Facility Location Problem
J. Castenow, B. Feldkord, T. Knollmann, M. Malatyali, F. Meyer auf der Heide, in: Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020.

5GOS: Demonstrating multi-domain orchestration of end-to-end virtual RAN services
D. Camps-Mur, F.  Canellas, A. Machwe, J. Paracuellos, K. Choumas, D. Giatsios, T. Korakis, H. Razzaghi Kouchaksaraei, in: The 6th IEEE International Conference on Network Softwarization (IEEE NetSoft 2020), n.d.

Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints
B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, Production Engineering 14 (2020) 417–423.

A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.

Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 166–174.

A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).

Approaches for Collaborative Security Defences in Multi Network Environments
R. Koning, G. Polevoy, L. Meijer, C. de Laat, P. Grosso, in: 2019 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), 2019, pp. 113–123.

Using complex multi-dimensional vibration trajectories in ultrasonic bonding and welding
R. Schemmel, T. Hemsel, C. Dymel, M. Hunstig, M. Brökelmann, W. Sextro, Sensors and Actuators A: Physical 295 (2019) 653–662.

Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, Cham, 2019, pp. 516–528.

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.

Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges
A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, W. Sextro, in: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018.

A Peer-to-Peer based Cloud Storage supporting orthogonal Range Queries of arbitrary Dimension
M. Benter, T. Knollmann, F. Meyer auf der Heide, A. Setzer, J. Sundermeier, in: Proceedings of the 4th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD), 2018.

Local Search Effects in Bi-Objective Orienteering
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2018, pp. 585–592.

A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory
E. Weishäupl, E. Yasasin, G. Schryen, in: International Conference on Information Systems, 2015.

Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten
K.S.C. Stille, J. Böcker, R. Bettentrup, I. Kaiser, in: ETG-Fachtagung “Von Smart Grids Zu Smart Markets,” VDE, Kassel, 2015.

Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference , Association for Computing Machinery, New York, NY, USA, 2015, pp. 425–432.