Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets
M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020) 165–193.

Pick, Pack, & Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets
H. Hamann, C. Markarian, F. Meyer auf der Heide, M. Wahby, in: Ninth International Conference on Fun with Algorithms (FUN), 2018.

From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process
L. van Rooijen, F.S. Bäumer, M.C. Platenius, M. Geierhos, H. Hamann, G. Engels, in: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), IEEE, Piscataway, NJ, USA, 2017, pp. 379–385.

An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap
M. Wahby, D.N. Hofstadler, M.K. Heinrich, P. Zahadat, H. Hamann, in: Proc. of the 10th International Conference on Self-Adaptive and Self-Organizing Systems, 2016.

Self-Organized Construction with Continuous Building Material: Higher Flexibility Based on Braided Structures
M.K. Heinrich, M. Wahby, M. Divband Soorati, D.N. Hofstadler, P. Zahadat, P. Ayres, K. Stoy, H. Hamann, in: Proc. of the 1st International Workshop on Self-Organising Construction (SOCO), 2016.

Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems
H. Hamann, Y. Khaluf, J. Botev, M. Divband Soorati, E. Ferrante, O. Kosak, J.-M. Montanier, S. Mostaghim, R. Redpath, J. Timmis, F. Veenstra, M. Wahby, A. Zamuda, Frontiers in Robotics and AI (2016).

Robot Self-Assembly as Adaptive Growth Process: Collective Selection of Seed Position and Self-Organizing Tree-Structures
H. Hamann, M. Divband Soorati, in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016.

Collective Decision with 100 Kilobots: Speed vs Accuracy in Binary Discrimination Problems
M. Dorigo, H. Hamann, G. Valentini, E. Ferrante, Journal of Autonomous Agents and Multi-Agent Systems 30 (2016) 553–580.

Population Coding: A New Design Paradigm for Embodied Distributed Systems
H. Hamann, G. Valentini, M. Dorigo, in: 10th Int. Conf. on Swarm Intelligence, ANTS 2016, Cham, 2016.

Robot Gardens: An Augmented Reality Prototype for Plant-Robot Biohybrid Systems
S. von Mammen, H. Hamann, M. Heider, in: ACM Symposium on Virtual Reality Software and Technology (VRST), 2016.

Inspiration-Triggered Search: Towards Higher Complexities by Mimicking Creative Processes
M. Rybá, H. Hamann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), 2016.

On the Definition of Self-organizing Systems: Relevance of Positive/Negative Feedback and Fluctuations
Y. Khaluf, H. Hamann, in: ANTS 2016, 2016, p. 298.

Collective Perception of Environmental Features in a Robot Swarm
G. Valentini, D. Brambilla, H. Hamann, M. Dorigo, in: 10th Int. Conf. on Swarm Intelligence, ANTS 2016, 2016.

Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application
T. Kühne, H. Hamann, S. Arifulina, G. Engels, in: Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016), 2016, pp. 278--293.

On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking
M. Wahby, H. Hamann, in: Applications of Evolutionary Computation (EvoApplications 2015), 2015.

Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids
H. Hamann, M. Wahby, T. Schmickl, P. Zahadat, D. Hofstadler, K. Stoy, S. Risi, A. Faina, F. Veenstra, S. Kernbach, I. Kuksin, O. Kernbach, P. Ayres, P. Wojtaszek, in: Proceedings of the 2015 IEEE Symposium on Artificial Life (IEEE ALIFE’15), 2015.

Lessons from Speciation Dynamics: How to Generate Selective Pressure Towards Diversity
H. Hamann, Artificial Life (2015) 464–480.

Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings
M. Wahby, A. Weinhold, H. Hamann, in: Proceedings of the 9th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BIONETICS), 2015.

Evolution of Controllers for Robot-Plant Bio-Hybdrids: A Simple Case Study Using a Model of Plant Growth and Motion
M. Wahby, M. Divband Soorati, S. von Mammen, H. Hamann, in: Proceedings. 25. Computational Intelligence Workshop, 2015.

The Effect of Fitness Function Design on Performance in Evolutionary Robotics: The Influence of a Priori Knowledge
H. Hamann, M. Divband Soorati, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), ACM, 2015, pp. 153–160.