Rybá, M., &; Hamann, H. (2016). Inspiration-Triggered Search: Towards Higher Complexities by Mimicking Creative Processes. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016).https://doi.org/10.1145/2908812.2908815 
LibreCat: /record/20002
DOI: 10.1145/2908812.2908815

Khaluf, Y., &; Hamann, H. (2016). On the Definition of Self-organizing Systems: Relevance of Positive/Negative Feedback and Fluctuations. In ANTS 2016 (Vol. 9882, p. 298).
LibreCat: /record/20003

Valentini, G., Brambilla, D., Hamann, H., &; Dorigo, M. (2016). Collective Perception of Environmental Features in a Robot Swarm. In 10th Int. Conf. on Swarm Intelligence, ANTS 2016.https://doi.org/10.1007/978-3-319-44427-7_6 
LibreCat: /record/20004
DOI: 10.1007/978-3-319-44427-7_6

Kühne, T., Hamann, H., Arifulina, S., &; Engels, G. (2016). Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application. In Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016) (pp. 278--293).https://doi.org/10.1007/978-3-319-30668-1_18 
LibreCat: /record/169
DOI: 10.1007/978-3-319-30668-1_18

Wahby, M., &; Hamann, H. (2015). On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking. In Applications of Evolutionary Computation (EvoApplications 2015).https://doi.org/10.1007/978-3-319-16549-3_61 
LibreCat: /record/19959
DOI: 10.1007/978-3-319-16549-3_61

Hamann, H., Wahby, M., Schmickl, T., Zahadat, P., Hofstadler, D., Stoy, K.,https://doi.org/10.1109/ssci.2015.158__Wojtaszek, P. (2015). Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids. In Proceedings of the 2015 IEEE Symposium on Artificial Life (IEEE ALIFE’15).https://doi.org/10.1109/ssci.2015.158 
LibreCat: /record/19960
DOI: 10.1109/ssci.2015.158

Hamann, H. (2015). Lessons from Speciation Dynamics: How to Generate Selective Pressure Towards Diversity. Artificial Life, 464–480.https://doi.org/10.1162/artl_a_00186 
LibreCat: /record/19962
DOI: 10.1162/artl_a_00186

Wahby, M., Weinhold, A., &; Hamann, H. (2015). Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings. In Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS).https://doi.org/10.4108/eai.3-12-2015.2262877 
LibreCat: /record/19966
DOI: 10.4108/eai.3-12-2015.2262877

Wahby, M., Divband Soorati, M., von Mammen, S., &; Hamann, H. (2015). Evolution of Controllers for Robot-Plant Bio-Hybdrids: A Simple Case Study Using a Model of Plant Growth and Motion. In Proceedings. 25. Computational Intelligence Workshop.
LibreCat: /record/19967

Hamann, H., &; Divband Soorati, M. (2015). The Effect of Fitness Function Design on Performance in Evolutionary Robotics: The Influence of a Priori Knowledge. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015) (pp. 153–160). ACM.https://doi.org/10.1145/2739480.2754676 
LibreCat: /record/19980
DOI: 10.1145/2739480.2754676

Hamann, H., Schmickl, T., &; Zahadat, P. (2015). Evolving Collective Behaviors With Diverse But Predictable Sensor States. In 13th European Conference on Artificial Life (ECAL 2015) (p. 174). MIT Press.https://doi.org/10.7551/978-0-262-33027-5-ch036 
LibreCat: /record/19988
DOI: 10.7551/978-0-262-33027-5-ch036

Hamann, H., Correll, N., Kacprzyk, J., &; Pedrycz, W. (2015). Probabilistic Modeling of Swarming Systems. In Springer Handbook of Computational Intelligence (pp. 1423–1431). Springer.https://doi.org/10.1007/978-3-662-43505-2_74 
LibreCat: /record/19989
DOI: 10.1007/978-3-662-43505-2_74

Ding, H., &; Hamann, H. (2015). Dependability in Swarm Robotics: Error Detection and Correction. In First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015).
LibreCat: /record/19990

Hamann, H., Schmickl, T., Kengyel, D., Zahadat, P., Radspieler, G., &; Wotawa, F. (2015). Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous Swarms. In Principles and Practice of Multi-Agent Systems (PRIMA 2015) (pp. 201–217).
LibreCat: /record/19991

Valentini, G., &; Hamann, H. (2015). Time-variant feedback processes in collective decision-making systems: influence and effect of dynamic neighborhood sizes. Swarm Intelligence, 153–176.https://doi.org/10.1007/s11721-015-0108-8 
LibreCat: /record/19992
DOI: 10.1007/s11721-015-0108-8

Dorigo, M., Hamann, H., &; Valentini, G. (2015). Efficient Decision-Making in a Self-Organizing Robot Swarm: On the Speed Versus Accuracy Trade-Off. In Proceedings of the 14th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2015).
LibreCat: /record/20005

Dorigo, M., Hamann, H., &; Valentini, G. (2015). Self-organized collective decisions in a robot swarm. In AAAI-15 Video Proceedings.
LibreCat: /record/20006

Hamann, H., Karsai, I., Schmickl, T., &; Hilbun, A. (2014). The common stomach: Organizing task allocation in wasp societies. In Symposium on Biomathematics and Ecology: Education and Research.
LibreCat: /record/20007

Hamann, H., &; Valentini, G. (2014). Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins. In Ninth Int. Conf. on Swarm Intelligence (ANTS 2014). Cham.https://doi.org/10.1007/978-3-319-09952-1_15 
LibreCat: /record/20008
DOI: 10.1007/978-3-319-09952-1_15

Hamann, H., Schmickl, T., &; Crailsheim, K. (2014). Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem. Artificial Life, 20(1), 77–93.https://doi.org/10.1162/ARTL_a_00097 
LibreCat: /record/20120
DOI: 10.1162/ARTL_a_00097