Home * People * Aleš Zamuda

		Aleš Zamuda, a Slovenian computer scientist and teaching assistant at Computer Architecture and Languages Laboratory ^[1], Institute of Computer Science ^[2] at University of Maribor, where he received his B.Sc., M.Sc., and Ph.D. degrees in 2006, 2008, and 2012, respectively. His research interests include multi-objective optimization, genetic programming, differential evolution, artificial life, and computer animation. As games programmer, Aleš is author of the open source chess program QuTeChess under the GNU General Public License ^[3].
Aleš Zamuda ^[4]

Selected Publications

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2007 ...

Aleš Zamuda, Janez Brest, Borko Bošković, Viljem Žumer (2007). Differential Evolution for Multiobjective Optimization with self Adaptation. IEEE Congress on Evolutionary Computation 2007, pdf
Janez Brest, Aleš Zamuda, Borko Bošković, Sašo Greiner, Viljem Žumer (2008). An Analysis of the Control Parameters’ Adaptation in DE. Advances in Differential Evolution, Studies in Computational Intelligence, ISBN: 978-3-540-68827-3
Borko Bošković, Sašo Greiner, Janez Brest, Aleš Zamuda, Viljem Žumer (2008). An Adaptive Differential Evolution Algorithm with Opposition-Based Mechanisms, Applied to the Tuning of a Chess Program. Advances in Differential Evolution, Studies in Computational Intelligence, ISBN: 978-3-540-68827-3

Borko Bošković, Janez Brest, Aleš Zamuda, Sašo Greiner, Viljem Žumer (2011). History mechanism supported differential evolution for chess evaluation function tuning. Soft Computing, Vol. 15, No. 4
Aleš Zamuda, Janez Brest, Borko Bošković, Viljem Žumer (2011). Differential Evolution for Parameterized Procedural Woody Plant Models Reconstruction. Applied Soft Computing, Vol. 11, No. 8, pdf preprint ^[6]
Aleš Zamuda (2012). Differential Evolution for Parameterized Procedural Woody Plant Models Reconstruction. Ph.D. thesis. Faculty of Electrical Engineering and Computer Science, University of Maribor
Aleš Zamuda, Janez Brest (2014). Vectorized Procedural Models for Animated Trees Reconstruction using Differential Evolution. Information Sciences, Vol. 278, pdf

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