Abshoff, S., Benter, M., Malatyali, M., &; Meyer auf der Heide, F. (2013). On Two-Party Communication Through Dynamic Networks. In Proceedings of the 17th International Conference on Principles of Distributed Systems (OPODIS) (pp. 11–22).https://doi.org/10.1007/978-3-319-03850-6_2 

Pietrzyk, P. (2013). Local and Online Algorithms for Facility Location. Universität Paderborn.

Meyer auf der Heide, F., &; Swirkot, K. (2013). Hierarchies in Local Distributed Decision. arXiv.

Flocchini, P., Gao, J., Kranakis, E., &; Meyer auf der Heide, F. (Eds.). (2013). Algorithms for Sensor Systems - 9th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics (Vol. 8243). Presented at the ALGOSENSORS 2013, Sophia Antipolis, France: Springer.https://doi.org/10.1007/978-3-642-45346-5 

Keller, M., Pawlik, S., Pietrzyk, P., &; Karl, H. (2013). A Local Heuristic for Latency-Optimized Distributed Cloud Deployment. In Proceedings of the 6th International Conference on Utility and Cloud Computing (UCC) workshop on Distributed cloud computing (pp. 429–434).https://doi.org/10.1109/UCC.2013.85 

Markarian, C., Meyer auf der Heide, F., &; Schubert, M. (2013). A Distributed Approximation Algorithm for Strongly Connected Dominating-Absorbent Sets in Asymmetric Wireless Ad-Hoc Networks. In Proceedings of the 9th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics (ALGOSENSORS) (pp. 217–227).https://doi.org/10.1007/978-3-642-45346-5_16 

Eikel, B., Jähn, C., Fischer, M., &; Meyer auf der Heide, F. (2013). Spherical Visibility Sampling. In Computer Graphics Forum (Vol. 32, pp. 49–58).https://doi.org/10.1111/cgf.12150 

Jähn, C., Eikel, B., Fischer, M., Petring, R., &; Meyer auf der Heide, F. (2013). Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties. In Advances in Visual Computing. Berlin, Heidelberg.https://doi.org/10.1007/978-3-642-41914-0_12 

Petring, R., Eikel, B., Jähn, C., Fischer, M., &; Meyer auf der Heide, F. (2013). Real-Time 3D Rendering of Heterogeneous Scenes. In Advances in Visual Computing. Berlin, Heidelberg.https://doi.org/10.1007/978-3-642-41914-0_44 

Happe, M., Kling, P., Plessl, C., Platzner, M., &; Meyer auf der Heide, F. (2013). On-The-Fly Computing: A Novel Paradigm for Individualized IT Services. Proceedings of the 9th IEEE Workshop on Software Technology for Future Embedded and Ubiquitous Systems (SEUS).https://doi.org/10.1109/ISORC.2013.6913232 

Suess, T., Schoenrock, A., Meisner, S., &; Plessl, C. (2013). Parallel Macro Pipelining on the Intel SCC Many-Core Computer. Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), 64–73.https://doi.org/10.1109/IPDPSW.2013.136 

Hamann, H., Stradner, J., Bredeche, N., &; Cazenille, L. (2012). Impact of Neuron Models and Network Structure on Evolving Modular Robot Neural Network Controllers. In 14th Annual Genetic and Evolutionary Computation Conference, GECCO 2012 (pp. 89–96). ACM.https://doi.org/10.1145/2330163.2330177 

Hamann, H., Schmickl, T., &; Stradner, J. (2012). Towards Morphological Flexibility: Modular Robotics and Bio-inspired Control. In Austrian Robotics Workshop (Operational Programme Slovenia-Austria).

Hamann, H., Schmickl, T., Stradner, J., Crailsheim, K., Zahadat, P., Adami, C.,  Pennock, R. T. (2012). On-line, On-board Evolution of Reaction-Diffusion Control for Self-Adaptation. In Alife XIII (pp. 597–598). MIT Press.

Hamann, H., Schmickl, T., &; Crailsheim, K. (2012). Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics. Mathematical and Computer Modelling of Dynamical Systems, 18(1), 39–50.https://doi.org/10.1080/13873954.2011.601418 

Hamann, H., Schmickl, T., &; Crailsheim, K. (2012). A Hormone-Based Controller for Evaluation-Minimal Evolution in Decentrally Controlled Systems. Artificial Life, 18(2), 165–198.https://doi.org/10.1162/artl_a_00058 

Hamann, H., Schmickl, T., Wörn, H., &; Crailsheim, K. (2012). Analysis of emergent symmetry breaking in collective decision making. Neural Computing and Applications, 21(2), 207–218.https://doi.org/10.1007/s00521-010-0368-6 

Hamann, H., Engelbrecht, A., Birattari, M., Dorigo, M., Blum, C., Stuetzle, T.,https://doi.org/10.1007/978-3-642-32650-9_15__Gross, R. (2012). Towards Swarm Calculus: Universal Properties of Swarm Performance and Collective Decisions. In Swarm Intelligence: 8th International Conference, ANTS 2012 (Vol. 7461, pp. 168–179). Berlin, Heidelberg: Springer.https://doi.org/10.1007/978-3-642-32650-9_15 

Cohen, R., Nudelman, I., &; Polevoy, G. (2012). On the Admission of Dependent Flows in Powerful Sensor Networks. In Infocom’2012, Orlando, Florida.

Damerow, V., Manthey, B., Meyer auf der Heide, F., Räcke, H., Scheideler, C., Sohler, C., &; Tantau, T. (2012). Smoothed analysis of left-to-right maxima with applications. Transactions on Algorithms, (3), 30.https://doi.org/10.1145/2229163.2229174