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J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,”10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, no. C, 2020, doi:10.1016/j.asoc.2019.105901 .

R. Koning, G. Polevoy, L. Meijer, C. de Laat, and P. Grosso, “Approaches for Collaborative Security Defences in Multi Network Environments,” 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.

S. Krüger, J. Späth, K. Ali, E. Bodden, and M. Mezini, “CrySL: An Extensible Approach to Validating the Correct Usage of Cryptographic APIs,”10.1109/TSE.2019.2948910__IEEE Transactions on Software Engineering, pp. 1–1, 2019, doi:10.1109/TSE.2019.2948910 .

R. Schemmel, T. Hemsel, C. Dymel, M. Hunstig, M. Brökelmann, and W. Sextro, “Using complex multi-dimensional vibration trajectories in ultrasonic bonding and welding,”10.1016/j.sna.2019.04.025__Sensors and Actuators A: Physical, vol. 295, pp. 653–662, 2019, doi:10.1016/j.sna.2019.04.025 .

J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm,”10.1007/978-3-030-12598-1_41__in Evolutionary Multi-Criterion Optimization (EMO), 2019, pp. 516–528, doi:10.1007/978-3-030-12598-1_41 .

J. Bossek, C. Grimme, and F. Neumann, “On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem,”10.1145/3321707.3321818__in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 516–523, doi:10.1145/3321707.3321818 .

A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, and W. Sextro, “Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges,” in In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018, vol. Vol. 2018, No. 1, pp. 000572-000577.

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

J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,”10.1145/3205455.3205548__in Proceedings of the Genetic and Evolutionary Computation Conference, 2018, pp. 585–592, doi:10.1145/3205455.3205548 .

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

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S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. Trautmann, “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle,”10.1145/2739480.2754705__in Proceedings of the Genetic and Evolutionary Computation Conference , 2015, pp. 425–432, doi:10.1145/2739480.2754705 .

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M. Sjöklint, I. Constantiou, and M. Trier, “Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework,” in ECIS 2013 Proceedings, 2013.

F. Mischkalla and W. Müller, “Efficient Power-Intent Validation Using ‘Loosely-Timed’ Simulation Models: A Non-Invasive Approach,”10.1109/PATMOS.2013.6662171__presented at the 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2013, doi:10.1109/PATMOS.2013.6662171 .

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Y. T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and H. Trautmann, “Work roll cooling system design optimisation in presence of uncertainty and constrains,”https://doi.org/10.1016/j.cirpj.2010.06.001__CIRP Journal of Manufacturing Science and Technology, vol. 2, no. 4, pp. 290–298, 2010, doi:https://doi.org/10.1016/j.cirpj.2010.06.001 .

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