C. Grimme et al., “Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization,”https://doi.org/10.1016/j.cor.2021.105489__Computers &; Operations Research, vol. 136, p. 105489, 2021, doi:https://doi.org/10.1016/j.cor.2021.105489 .

J. Bossek, A. Neumann, and F. Neumann, “Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms,”10.1145/3449639.3459364__in Proceedings of the Genetic and Evolutionary Computation Conference, 2021, pp. 556–564, doi:10.1145/3449639.3459364 .

J. Bossek and F. Neumann, “Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem,”10.1145/3449639.3459363__in Proceedings of the Genetic and Evolutionary Computation Conference, 2021, pp. 198–206, doi:10.1145/3449639.3459363 .

J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem,”10.1007/s00453-021-00838-3__Algorithmica, vol. 83, no. 10, pp. 3148–3179, 2021, doi:10.1007/s00453-021-00838-3 .

S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020.

C.-M. Kuball, B. Uhe, G. Meschut, and M. Merklein, Eds., Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel, vol. 50. 2020, pp. 280–285.

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

M. Otroshi, M. Rossel, and G. Meschut, “Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model,”10.1016/j.jajp.2020.100015__Journal of Advanced Joining Processes, vol. 1, 2020, doi:10.1016/j.jajp.2020.100015 .

C. Caruso, C. Adammek, S. Bonanati, and S. Wiescholek, “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen,”10.4119/hlz-2540__Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, pp. 18–33, 2020, doi:10.4119/hlz-2540 .

B. Bonnard, O. Cots, and B. E. Wembe Moafo, “A Zermelo navigation problem with a vortex singularity,”10.1051/cocv/2020058__ESAIM: Control, Optimisation and Calculus of Variations, vol. 27, Art. no. , 2020, doi:10.1051/cocv/2020058 .

C.-M. Kuball, R. Jung, B. Uhe, G. Meschut, and M. Merklein, Eds., Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel, vol. 1. 2020.

B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints,”10.1007/s11740-020-00973-w__Production Engineering, vol. 14, pp. 417–423, 2020, doi:10.1007/s11740-020-00973-w .

J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,”https://doi.org/10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, p. 105901, 2020, doi:https://doi.org/10.1016/j.asoc.2019.105901 .

J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization,”10.1145/3377930.3390174__in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1277–1285, doi:10.1145/3377930.3390174 .

J. Bossek, C. Doerr, P. Kerschke, A. Neumann, and F. Neumann, “Evolving Sampling Strategies for One-Shot Optimization Tasks,”10.1007/978-3-030-58112-1_8__in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 111–124, doi:10.1007/978-3-030-58112-1_8 .

J. Bossek, K. Casel, P. Kerschke, and F. Neumann, “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics,”10.1145/3377930.3390243__in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1286–1294, doi:10.1145/3377930.3390243 .

J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,”10.1145/3377930.3390146__in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 166–174, doi:10.1145/3377930.3390146 .

J. Bossek, C. Doerr, and P. Kerschke, “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB,”10.1145/3377930.3390155__in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 778–786, doi:10.1145/3377930.3390155 .

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 .

B. Hippert, A. Uhde, and S. T. Wengerek, “Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe,”https://doi.org/10.1007/s11147-018-9148-8__Review of Derivatives Research , vol. 22, no. 2, pp. 203–259, 2019, doi:https://doi.org/10.1007/s11147-018-9148-8 .

P. Bornmann, Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen. Shaker, 2019.

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, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann, “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators,”10.1145/3299904.3340307__in Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019, pp. 58–71, doi:10.1145/3299904.3340307 .

J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring,”10.1145/3321707.3321792__in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 1443–1451, doi:10.1145/3321707.3321792 .

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 .

M. Feldmann, C. Kolb, C. Scheideler, and T. F. Strothmann, “Self-Stabilizing Supervised Publish-Subscribe Systems,” in Proceedings of the 32nd IEEE International Parallel &; Distributed Processing Symposium (IPDPS), Vancouver, 2018.

G. Rauchecker and G. Schryen, “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief,” in Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, Rochester, NY, USA, 2018.

T. Knollmann and C. Scheideler, “A Self-Stabilizing Hashed Patricia Trie,” in Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), Tokyo, 2018, vol. 11201.

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.-C. Bertau and A. Karsten, “Reconsidering interiorization: Self moving across language spacetimes,”10.1016/j.newideapsych.2017.12.001__New Ideas in Psychology, vol. 49, pp. 7–17, 2018, doi:10.1016/j.newideapsych.2017.12.001 .

T. Meyer, Optimization-based reliability control of mechatronic systems. Shaker, 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 .

J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr,”10.1145/3205651.3208312__in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018, pp. 1350–1356, doi:10.1145/3205651.3208312 .

P. Kerschke, J. Bossek, and H. Trautmann, “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers,”10.1145/3205651.3208233__in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018, pp. 1737–1744, doi:10.1145/3205651.3208233 .

A. P. Fust, T. Jenert, and C. Winkler, “Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes,” Entrepreneurship Research Journal, vol. 8, no. 2, pp. 1–11, 2018.

R. Mahnken, “‘A variational formulation for fuzzy analysis in continuum mechanics,’” Mathematics and Mechanics of complex systems, vol. 5, no. 3–4, 2017.

T. Kaul, T. Meyer, and W. Sextro, “Formulation of reliability-related objective functions for design of intelligent mechatronic systems,” SAGE Journals, vol. Vol. 231(4), pp. 390–399, 2017.

J. K. Kimotho, W. Sextro, and T. Hemsel, “Estimation of Remaining Useful Lifetime of Piezoelectric Transducers Based on Self-Sensing,” in IEEE Transactions on Reliability, 2017, pp. 1–10.

N. Ho, P. Kaufmann, and M. Platzner, “Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor,” in 2017 International Conference on Field Programmable Technology (ICFPT), 2017, pp. 215–218.

Z. Guettatfi, P. Hübner, M. Platzner, and B. Rinner, “Computational self-awareness as design approach for visual sensor nodes,” in 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.

S. Sadeghi-Kohan, M. Kamal, and Z. Navabi, “Self-Adjusting Monitor for Measuring Aging Rate and Advancement,”10.1109/tetc.2017.2771441__IEEE Transactions on Emerging Topics in Computing, vol. 8, no. 3, pp. 627–641, 2017, doi:10.1109/tetc.2017.2771441 .

J. Bossek, “Ecr 2.0: A Modular Framework for Evolutionary Computation in R,”10.1145/3067695.3082470__in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017, pp. 1187–1193, doi:10.1145/3067695.3082470 .

J. Bossek and C. Grimme, “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem,”10.1109/SSCI.2017.8285183__in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi:10.1109/SSCI.2017.8285183 .

T. Meyer  et al., “Reliable Manufacturing of Heavy Copper Wire Bonds Using Online Parameter Adaptation,” in IEEE 66th Electronic Components and Technology Conference, 2016, pp. 622–628.

J. Bossek and H. Trautmann, “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference,”10.1007/978-3-319-49130-1_1__in Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037, 2016, pp. 3–12, doi:10.1007/978-3-319-49130-1_1 .

J. Torresen, C. Plessl, and X. Yao, “Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction,” IEEE Computer, vol. 48, no. 7, pp. 18–20, 2015.

A. Scherer, N. Wünderlich, and F. Von Wangenheim, “The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.,” MIS Quarterly, vol. 39, no. 1, pp. 177–200, 2015.

T. Brahm, D. Wagner, and T. Jenert, “A person-centred approach to students’ transition into Higher Education,” presented at the 16th Biennial EARLI Conference for Research on Learning and Instruction, Zypern, 2015.

P. Bornmann, T. Hemsel, W. Sextro, G. Memoli, M. Hodnett, and B. Zeqiri, “Kavitationsdetektion mittels Self-Sensing-Ultraschallwandler,” tm - Technisches Messen, vol. 82, no. 2, pp. 73–84, 2015.

T. Meyer, T. Kaul, and W. Sextro, “Advantages of reliability-adaptive system operation for maintenance planning,” in Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 2015, pp. 940–945.

N. Ho, A. F. Ahmed, P. Kaufmann, and M. Platzner, “Microarchitectural optimization by means of reconfigurable and evolvable cache mappings,” in Proc. NASA/ESA Conf. Adaptive Hardware and Systems (AHS), 2015, pp. 1–7.

K. S. C. Stille, J. Böcker, R. Bettentrup, and I. Kaiser, “Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten,” 2015.

J. Bossek, B. Bischl, T. Wagner, and G. Rudolph, “Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement,”10.1145/2739480.2754673__in Proceedings of the Genetic and Evolutionary Computation Conference, 2015, pp. 1319–1326, doi:10.1145/2739480.2754673 .

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 .

T. C. King et al., “Request Driven Social Sensing,” in Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems, 2014, pp. 1651–1652.

J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle filter with model parameter adaptation,” in Prognostics and Health Management (PHM), 2014 IEEE Conference on, 2014, pp. 1–6.

T. Meyer  and W. Sextro, “Closed-loop Control System for the Reliability of Intelligent Mechatronic Systems,” in Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014, 2014, vol. 5.

T. Meyer , C. Sondermann-Wölke, and W. Sextro, “Method to Identify Dependability Objectives in Multiobjective Optimization Problem,” Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence, vol. 15, pp. 46–53, 2014.

N. Ho, P. Kaufmann, and M. Platzner, “Towards self-adaptive caches: A run-time reconfigurable multi-core infrastructure,” in 2014 IEEE Intl. Conf. on Evolvable Systems (ICES), 2014, pp. 31–37.

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.

U. Kosi, J. Koren, and A. Valentincic, “Does Financial Statement Audit Reduce the Cost of Debt of Private Firms?,” presented at the 36th Annual Congress of European Accounting Association, Paris, France, 2013.

F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic,”10.1109/ICASSP.2013.6637620__in 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120, doi:10.1109/ICASSP.2013.6637620 .

M. Becker, M. Luckey, and S. Becker, “Model-driven Performance Engineering of Self-adaptive Systems: A Survey,” in Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA), 2012, pp. 117–122.

J. H. Schumann, N. Wünderlich, and F. Wangenheim, “Technology Mediation in Service Delivery: A New Typology and an Agenda for Managers and Academics.,” Technovation, vol. 32, no. 2, pp. 133–143, 2012.

P. Bornmann, T. Hemsel, W. Sextro, T. Maeda, and T. Morita, “Non-perturbing cavitation detection / monitoring in sonochemical reactors,” in Ultrasonics Symposium (IUS), 2012 IEEE International, 2012, pp. 1141–1144.

B. Klöpper, C. Sondermann-Wölke, and C. Romaus, “Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle,” Journal of Robotics and Mechatronics, vol. 24, no. 1, pp. 5–15, 2012.

F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position Self-Calibration from Reverberant Speech Input,” 2012.

D. Brockhoff, T. Wagner, and H. Trautmann, “On the Properties of the10.1145/2330163.2330230__Indicator,”10.1145/2330163.2330230__in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 465–472, doi:10.1145/2330163.2330230 .

B. Bischl, O. Mersmann, H. Trautmann, and M. Preuß, “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning,”10.1145/2330163.2330209__in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 313–320, doi:10.1145/2330163.2330209 .

O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, and G. Rudolph, “Exploratory Landscape Analysis,”10.1145/2001576.2001690__in Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 2011, pp. 829–836, doi:10.1145/2001576.2001690 .

N. Kretzschmar and V. Schöppner, “Simulating Tightly Intermeshing, Co-Rotating Twin Screw Extruders with SIGMA,” in Proceedings of the 2010 Summer Computer Simulation Conference, 2010, pp. 133–140.

J. Finkbeiner, C. Bodenstein, G. Schryen, and D. Neumann, “Applying heuristic methods for job scheduling in storage markets,” in 18th European Conference on Information Systems (ECIS 2010), 2010.

M. Mehta et al., “Intentionally positioned self-assembled InAs quantum dots in an electroluminescent p–i–n junction diode,” Physica E: Low-dimensional Systems and Nanostructures, vol. 42, no. 10, pp. 2749–2752, 2010.

C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, and S. Pook, “Guideline for the dependability-oriented design of self-optimizing systems,” in Industrial Informatics (INDIN), 2010 8th IEEE International Conference on, 2010, pp. 739–744.

C. Sondermann-Wölke, J. Geisler, and W. Sextro, “Increasing the reliability of a self-optimizing railway guidance system,” in Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual, 2010, pp. 1–6.

O. Mersmann, M. Preuss, and H. Trautmann, “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis,” in Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, 2010, pp. 73–82.

B. Klöpper, C. Sondermann-Wölke, C. Romaus, and H. Vöcking, “Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems,” in Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on, 2009, pp. 104–111.

C. Sondermann-Wölke and W. Sextro, “Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules,” in Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:, 2009, pp. 15–20.

D. O. Uribe, R. Stroop, T. Hemsel, and J. Wallaschek, “Development of a biomedical tissue differentiation system using piezoelectric actuators,” in Frequency Control Symposium, 2008 IEEE International, 2008, pp. 91–94.

P. Kaufmann and M. Platzner, “MOVES: A Modular Framework for Hardware Evolution,” in Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), Edinburgh, UK, 2007, pp. 447–454.

E. Warsitz and R. Haeb-Umbach, “Acoustic filter-and-sum beamforming by adaptive principal component analysis,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, vol. 4, p. iv/797-iv/800 Vol. 4.

J. Gausemeier, W. Müller, V. Paelke, J. Bauch, Q. Shen, and R. Radkowski, “Virtual Prototyping Of Self-Optimizing Mechatronic Systems,” presented at the 8th International Design Conference , Dubrovnik, 2004.