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.

Evolving Collective Behaviors With Diverse But Predictable Sensor States
H. Hamann, T. Schmickl, P. Zahadat, in: 13th European Conference on Artificial Life (ECAL 2015), MIT Press, 2015, p. 174.

Probabilistic Modeling of Swarming Systems
H. Hamann, N. Correll, J. Kacprzyk, W. Pedrycz, in: Springer Handbook of Computational Intelligence, Springer, 2015, pp. 1423–1431.

Dependability in Swarm Robotics: Error Detection and Correction
H. Ding, H. Hamann, in: First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015), 2015.

Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous Swarms
H. Hamann, T. Schmickl, D. Kengyel, P. Zahadat, G. Radspieler, F. Wotawa, in: Principles and Practice of Multi-Agent Systems (PRIMA 2015), 2015, pp. 201–217.

Time-variant feedback processes in collective decision-making systems: influence and effect of dynamic neighborhood sizes
G. Valentini, H. Hamann, Swarm Intelligence (2015) 153–176.

Efficient Decision-Making in a Self-Organizing Robot Swarm: On the Speed Versus Accuracy Trade-Off
M. Dorigo, H. Hamann, G. Valentini, in: Proceedings of the 14th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2015), 2015.

Self-organized collective decisions in a robot swarm
M. Dorigo, H. Hamann, G. Valentini, in: AAAI-15 Video Proceedings, 2015.

The common stomach: Organizing task allocation in wasp societies
H. Hamann, I. Karsai, T. Schmickl, A. Hilbun, in: Symposium on Biomathematics and Ecology: Education and Research, 2014.

Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins
H. Hamann, G. Valentini, in: Ninth Int. Conf. on Swarm Intelligence (ANTS 2014), Cham, 2014.

Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem
H. Hamann, T. Schmickl, K. Crailsheim, Artificial Life 20 (2014) 77–93.