M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets,”10.1162/evco_a_00266__Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi:10.1162/evco_a_00266 .

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

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

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

M. K. Heinrich et al., “Self-Organized Construction with Continuous Building Material: Higher Flexibility Based on Braided Structures,” in Proc. of the 1st International Workshop on Self-Organising Construction (SOCO), 2016.

H. Hamann et al., “Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems,” Frontiers in Robotics and AI, 2016.

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

M. Dorigo, H. Hamann, G. Valentini, and E. Ferrante, “Collective Decision with 100 Kilobots: Speed vs Accuracy in Binary Discrimination Problems,” Journal of Autonomous Agents and Multi-Agent Systems, vol. 30, no. 3, pp. 553–580, 2016.

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

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

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

Y. Khaluf and H. Hamann, “On the Definition of Self-organizing Systems: Relevance of Positive/Negative Feedback and Fluctuations,” in ANTS 2016, 2016, vol. 9882, p. 298.

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

T. Kühne, H. Hamann, S. Arifulina, and G. Engels, “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), 2016, pp. 278--293.

M. Wahby and H. Hamann, “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), 2015.

H. Hamann et al., “Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids,” in Proceedings of the 2015 IEEE Symposium on Artificial Life (IEEE ALIFE’15), 2015.

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

M. Wahby, A. Weinhold, and H. Hamann, “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), 2015.

M. Wahby, M. Divband Soorati, S. von Mammen, and H. Hamann, “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, 2015.

H. Hamann and M. Divband Soorati, “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), 2015, pp. 153–160.