Li, S., Meyer auf der Heide, F., &; Podlipyan, P. (2016). The impact of the Gabriel subgraph of the visibility graph on the gathering of mobile autonomous robots. In Algorithms for Sensor Systems, Proceedings of the 12th International Symposium on Algorithms and Experiments for Wireless Sensor Networks (ALGOSENSORS). Springer.https://doi.org/10.1007/978-3-319-53058-1_5  
LibreCat: /record/16358
DOI: 10.1007/978-3-319-53058-1_5 

Cord-Landwehr, A., Fischer, M., Jung, D., &; Meyer auf der Heide, F. (2016). Asymptotically Optimal Gathering on a Grid. In Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) (pp. 301–312). ACM.https://doi.org/10.1145/2935764.2935789 
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DOI: 10.1145/2935764.2935789

Abshoff, S., Cord-Landwehr, A., Fischer, M., Jung, D., &; Meyer auf der Heide, F. (2016). Gathering a Closed Chain of Robots on a Grid. In Proceedings of the 30th International Parallel and Distributed Processing Symposium (IPDPS) (pp. 689–699). IEEE.https://doi.org/10.1109/IPDPS.2016.51 
LibreCat: /record/16360
DOI: 10.1109/IPDPS.2016.51

Macker, A., Malatyali, M., &; Meyer auf der Heide, F. (2016). On Competitive Algorithms for Approximations of Top-k-Position Monitoring of Distributed Streams. In 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS).https://doi.org/10.1109/ipdps.2016.91 
LibreCat: /record/16364
DOI: 10.1109/ipdps.2016.91

Mäcker, A., Malatyali, M., Meyer auf der Heide, F., &; Riechers, S. (2016). Cost-efficient Scheduling on Machines from the Cloud. ArXiv:1609.01184.
LibreCat: /record/16396
arXiv: 1609.01184

Abshoff, S., Kling, P., Markarian, C., Meyer auf der Heide, F., &; Pietrzyk, P. (2016). Towards the price of leasing online. Journal of Combinatorial Optimization, (4), 1197--1216.https://doi.org/10.1007/s10878-015-9915-5 
LibreCat: /record/139
DOI: 10.1007/s10878-015-9915-5

Abu-Khzam, F. N., Li, S., Markarian, C., Meyer auf der Heide, F., &; Podlipyan, P. (2016). The Monotone Circuit Value Problem with Bounded Genus Is in NC. In Proceedings of the 22nd International Conference on Computing and Combinatorics (COCOON) (pp. 92–102).https://doi.org/10.1007/978-3-319-42634-1_8 
LibreCat: /record/143
DOI: 10.1007/978-3-319-42634-1_8

Feldotto, M., &; Graffi, K. (2016). Systematic evaluation of peer-to-peer systems using PeerfactSim.KOM. Concurrency and Computation: Practice and Experience, 28(5), 1655–1677.https://doi.org/10.1002/cpe.3716 
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DOI: 10.1002/cpe.3716

Pfannschmidt, K. (2015). Solving the aggregated bandits problem. Universität Paderborn.
LibreCat: /record/251

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