aUnderstand whas happening within8. Selbstkontrolle mit Personenwaage, Wearable und habit tracker
F.M. Schloots, ffk Journal 6 (2022) 74–91.

 Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?
C. Caruso, A. Seifert, Österreichische Religionspädagogische Forum 30 (2022) 239–260.

Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen
C. Caruso, A. Seifert, Religionspädagogische Beiträge. Journal for Religion in Education  45 (2022) 3–15.

Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies
B. Bonnard, J. Rouot, B.E. Wembe Moafo, Mathematical Control and Related Fields 0 (2022) 0–0.

How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training
F. Schröer, C. Tenberge, in: D. Gill, J. Tuff, T. Kennedy, S. Pendergast, S. Jamil (Eds.), PAT - PATT on the Edge Technology, Innovation and Education, St. John’s, Newfoundland and Labrador, Canada, 2022, pp. 49–57.

Engaging with self-tracking applications: how do users respond to their performance data?
I. Constantiou, A. Mukkamala, M. Sjöklint, M. Trier, European Journal of Information Systems (2022) 1–21.

Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.

Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping
G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).

Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping
G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).

Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design
M. Hesse, M. Hunstig, J. Timmermann, A. Trächtler, in: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–394.

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 192–206.

On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359.

AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.

Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).

DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.

The digital home learning environment and its relation to children’s ICT self-efficacy
S. Bonanati, H.M. Buhl, Learning Environments Research 25 (2021) 485–505.

Cost of Debt for Private Firms Revisited: Voluntary Audits as a Reflection of Risk
R. Ichev, J. Koren, U. Kosi, K. Sitar Sustar, A. Valentincic, Cost of Debt for Private Firms Revisited: Voluntary Audits as a Reflection of Risk, 2021.

Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening
B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, in: G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, Y. Yoshida (Eds.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals &; Materials Series., Springer, Cham, 2021, pp. 1495–1506.

Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel
B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, in: 2021.

Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization
R. Schemmel, V. Krieger, T. Hemsel, W. Sextro, Microelectronics Reliability 119 (2021) 114077.

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.

Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms
J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp. 556–564.

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.

Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem
J. Bossek, F. Neumann, P. Peng, D. Sudholt, Algorithmica 83 (2021) 3148–3179.

Self-Driving Network and Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.

Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel
C.-M. Kuball, B. Uhe, G. Meschut, M. Merklein, eds., Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel, 2020.

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.

Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model
M. Otroshi, M. Rossel, G. Meschut, Journal of Advanced Joining Processes 1 (2020).

Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen
C. Caruso, C. Adammek, S. Bonanati, S. Wiescholek, Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3 (2020) 18–33.

A Zermelo navigation problem with a vortex singularity
B. Bonnard, O. Cots, B.E. Wembe Moafo, ESAIM: Control, Optimisation and Calculus of Variations 27 (2020).

Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel
C.-M. Kuball, R. Jung, B. Uhe, G. Meschut, M. Merklein, eds., Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel, 2020.

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.

More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization
J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1277–1285.

Evolving Sampling Strategies for One-Shot Optimization Tasks
J. Bossek, C. Doerr, P. Kerschke, A. Neumann, F. Neumann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 111–124.

The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics
J. Bossek, K. Casel, P. Kerschke, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1286–1294.

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.

Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB
J. Bossek, C. Doerr, P. Kerschke, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 778–786.

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).

Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe
B. Hippert, A. Uhde, S.T. Wengerek, Review of Derivatives Research  22 (2019) 203–259.

Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen
P. Bornmann, Modellierung Und Experimentelle Charakterisierung Der Wechselwirkung Zwischen Ultraschallwandler Und Flüssigkeit in Kavitationsbasierten Prozessen, Shaker, 2019.

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.

Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, H. Trautmann, in: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2019, pp. 58–71.

Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring
J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2019, pp. 1443–1451.

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.

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

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

A Self-Stabilizing Hashed Patricia Trie
T. Knollmann, C. Scheideler, in: T. Izumi, P. Kuznetsov (Eds.), Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), Springer, Cham, 2018.

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.

Reconsidering interiorization: Self moving across language spacetimes
M.-C. Bertau, A. Karsten, New Ideas in Psychology 49 (2018) 7–17.

Optimization-based reliability control of mechatronic systems
T. Meyer, Optimization-Based Reliability Control of Mechatronic Systems, Shaker, 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.

Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.

Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.

Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes
A.P. Fust, T. Jenert, C. Winkler, Entrepreneurship Research Journal 8 (2018) 1–11.

"A variational formulation for fuzzy analysis in continuum mechanics"
R. Mahnken, Mathematics and Mechanics of Complex Systems 5 (2017).

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

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

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

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

Self-Adjusting Monitor for Measuring Aging Rate and Advancement
S. Sadeghi-Kohan, M. Kamal, Z. Navabi, IEEE Transactions on Emerging Topics in Computing 8 (2017) 627–641.

Ecr 2.0: A Modular Framework for Evolutionary Computation in R
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.

A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem
J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.

Reliable Manufacturing of Heavy Copper Wire Bonds Using Online Parameter Adaptation
T. Meyer , A. Unger, S. Althoff, W. Sextro, M. Brökelmann, M. Hunstig, K. Guth, in: IEEE 66th Electronic Components and Technology Conference, 2016, pp. 622–628.

Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference
J. Bossek, H. Trautmann, in: Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037, Springer-Verlag, Berlin, Heidelberg, 2016, pp. 3–12.

Self-Aware and Self-Expressive Systems – Guest Editor's Introduction
J. Torresen, C. Plessl, X. Yao, IEEE Computer 48 (2015) 18–20.

The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.
A. Scherer, N. Wünderlich, F. Von Wangenheim, MIS Quarterly 39 (2015) 177–200.

A person-centred approach to students' transition into Higher Education
T. Brahm, D. Wagner, T. Jenert, in: 2015.

Kavitationsdetektion mittels Self-Sensing-Ultraschallwandler
P. Bornmann, T. Hemsel, W. Sextro, G. Memoli, M. Hodnett, B. Zeqiri, Tm - Technisches Messen 82 (2015) 73–84.

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

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

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.

Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement
J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2015, pp. 1319–1326.

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.

Request Driven Social Sensing
T.C. King, Q. Liu, G. Polevoy, M. de Weerdt, V. Dignum, M.B. van Riemsdijk, M. Warnier, in: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2014, pp. 1651–1652.

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

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

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

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

Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework
M. Sjöklint, I. Constantiou, M. Trier, in: ECIS 2013 Proceedings, Association for Information Systems. AIS Electronic Library (AISeL), 2013.

Does Financial Statement Audit Reduce the Cost of Debt of Private Firms?
U. Kosi, J. Koren, A. Valentincic, in: 2013.

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

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

Technology Mediation in Service Delivery: A New Typology and an Agenda for Managers and Academics.
J.H. Schumann, N. Wünderlich, F. Wangenheim, Technovation 32 (2012) 133–143.

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

Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle
B. Klöpper, C. Sondermann-Wölke, C. Romaus, Journal of Robotics and Mechatronics 24 (2012) 5–15.

Microphone Array Position Self-Calibration from Reverberant Speech Input
F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.

On the Properties of the  Indicator
D. Brockhoff, T. Wagner, H. Trautmann, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 465–472.

Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning
B. Bischl, O. Mersmann, H. Trautmann, M. Preuß, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 313–320.

Exploratory Landscape Analysis
O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, G. Rudolph, in: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2011, pp. 829–836.

Simulating Tightly Intermeshing, Co-Rotating Twin Screw Extruders with SIGMA
N. Kretzschmar, V. Schöppner, in: Proceedings of the 2010 Summer Computer Simulation Conference, Society for Computer Simulation International, San Diego, CA, USA, 2010, pp. 133–140.

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

Intentionally positioned self-assembled InAs quantum dots in an electroluminescent p–i–n junction diode
M. Mehta, D. Reuter, A. Melnikov, A.D. Wieck, S. Michaelis de Vasconcellos, T. Baumgarten, A. Zrenner, C. Meier, Physica E: Low-Dimensional Systems and Nanostructures 42 (2010) 2749–2752.

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

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

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

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

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

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

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