Bibliography

Export 60 results:
Author Title Type [ Year(Asc)]
2022
K. Basiukajc, Komosinski, M., and Miazga, K., Fitness Diversification in the Service of Fitness Optimization: a Comparison Study, in Genetic and Evolutionary Computation Conference Companion (GECCO '22), Boston, USA, 2022.
2019
K. Gorgolewski, Komosinski, M., Miazga, K., Rosinski, K., and Rychły, P., Properties of movement of 3D agents, Poznan University of Technology, Institute of Computing Science, RA-1/2019, 2019.
2008
M. Hapke and Komosinski, M., Evolutionary Design of Interpretable Fuzzy Controllers, Foundations of Computing and Decision Sciences, vol. 33, pp. 351–367, 2008.
2003
M. Hapke, Komosinski, M., and Waclawski, D., Application of Evolutionarily Optimized Fuzzy Controllers for Virtual Robots, in Proceedings of the 7th Joint Conference on Information Sciences, North Carolina, USA, 2003, pp. 1605–1608.
2002
M. Hapke, Komosinski, M., and Waclawski, D., Evolutionary optimization of fuzzy controllers for virtual robots. Poznan University of Technology, Institute of Computing Science, 2002.
2006
W. Jaskowski and Komosinski, M., Measuring symmetry of moving stick creatures, Poznan University of Technology, Institute of Computing Science, 2006.
2022
A. Klejda, Komosinski, M., and Mensfelt, A., Diversification Techniques and Distance Measures in Evolutionary Design of 3D Structures, in Genetic and Evolutionary Computation Conference Companion (GECCO '22), Boston, USA, 2022.
2018
M. Komosinski, Universes and simulations: civilizational development in nested embedding, Foundations of Computing and Decision Sciences, vol. 43, no. 3, pp. 181–205, 2018.
2012
M. Komosinski, Kups, A., and Urbanski, M., Multi-criteria evaluation of abductive hypotheses: towards efficient optimization in proof theory, in Proceedings of the 18th International Conference on Soft Computing, Brno, Czech Republic, 2012, pp. 320–325.
2009
M. Komosinski and Kups, A., Models and implementations of timing processes using Artificial Life techniques, Poznan University of Technology, Institute of Computing Science, RA-05/09, 2009.
1999
M. Komosinski and , R., Evolutionary weighting of features for classification. Poznan University of Technology, Institute of Computing Science, 1999.
2000
M. Komosinski and Krawiec, K., Evolutionary weighting of image features for diagnosing of CNS tumors, Artificial Intelligence In Medicine, Special Issue on Evolutionary Computation in Medicine, vol. 19, pp. 25–38, 2000.
2004
M. Komosinski and Ulatowski, S., Genetic mappings in artificial genomes, Theory in Biosciences, vol. 123, pp. 125–137, 2004.
2011
M. Komosinski and Kups, A., Implementation and Simulation of the Scalar Timing Model, Bio-Algorithms and Med-Systems, vol. 7, no. 4, pp. 41–52, 2011.
2013
M. Komosinski and Ulatowski, S., Parallel computing in Framsticks, Poznan University of Technology, Institute of Computing Science, RA-18/2013, 2013.
2009
M. Komosinski and Polak, J., Evolving free-form stick ski jumpers and their neural control systems, in Proceedings of the National Conference on Evolutionary Computation and Global Optimization, Poland, 2009, p. 103--110.
1999
M. Komosinski and Ulatowski, S., Framsticks: sztuczne życie – złożona symulacja stworzeń i ich ewolucji, in Materiały konferencyjne III Krajowej Konferencji Algorytmy Ewolucyjne i Optymalizacja Globalna KAEiOG (Proceedings of the National Conference on Evolutionary Computation and Global Optimization), Potok Złoty, 1999, pp. 157–166.
2010
M. Komosinski and Rosinski, K., Estimating similarity of neural network dynamics, Poznan University of Technology, Institute of Computing Science, RA-10/10, 2010.
2012
M. Komosinski, Evolutionary design of tall structures, Poznan University of Technology, Institute of Computing Science, 2012.
2009
M. Komosinski and Ulatowski, S., Framsticks: Creating and Understanding Complexity of Life, in Artificial Life Models in Software, Second., M. Komosinski and Adamatzky, A., Eds. New York: Springer, 2009, pp. 107–148.
2019
M. Komosinski and Miazga, K., Parametrizing Convection Selection: Conclusions from the Analysis of Performance in the NKq Model, Genetic and Evolutionary Computation Conference (GECCO '19), July 13–17. ACM, Prague, Czech Republic, pp. 804–811, 2019.
M. Komosinski and Miazga, K., Measuring properties of movement in populations of evolved 3D agents, in Artificial Life Conference Proceedings, H. Fellermann, Bacardit, J., Goni-Moreno, A., and Füchslin, R. M., Eds. MIT Press, 2019, pp. 485–492.
2016
P. Topa, Komosinski, M., Tyszka, J., Mensfelt, A., Rokitta, S., Byrski, A., and Bassara, M., eVolutus: A New Platform for Evolutionary Experiments, in Parallel Processing and Applied Mathematics: 11th International Conference, PPAM 2015, Krakow, Poland, September 6–9, 2015. Revised Selected Papers, Part II, R. Wyrzykowski, Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., and Wiatr, K., Eds. Springer, 2016, pp. 570–580.
P. Topa, Komosinski, M., Bassara, M., and Tyszka, J., eVolutus: a configurable platform designed for ecological and evolutionary experiments tested on Foraminifera, in Man–Machine Interactions 4, vol. 391, A. Gruca, Brachman, A., Kozielski, S., and Czachórski, T., Eds. Springer, 2016, pp. 269–278.