Janez Brest

Home * People * Janez Brest

Janez Brest

Janez Brest,
a Slovenian computer scientist and full professor at Computer Architecture and Languages Laboratory , Institute of Computer Science at University of Maribor. His research interests include case-based reasoning, multi-objective optimization, and evolutionary computation, in particular differential evolution applied to protein folding optimization, also used in automated tuning of chess engines.

Selected Publications

2000 ...

• Janez Brest, Viljem Žumer (2003). A Heuristic Algorithm for the Static Scheduling on Multiprocessors. Applied Informatics '2003.

2005 ...

• Borko Bošković, Sašo Greiner, Janez Brest, Viljem Žumer (2005). The representation of chess game. 27th International Conference on Information Technology Interfaces
• Sašo Greiner, Damijan Rebernak, Janez Brest, Viljem Žumer (2005). Z0 - a tiny experimental language. SIGPLAN Notices Vol. 40, No. 8
• Borko Bošković, Sašo Greiner, Janez Brest, Viljem Žumer (2006). A Differential Evolution for the Tuning of a Chess Evaluation Function. IEEE Congress on Evolutionary Computation
• Aleš Zamuda, Janez Brest, Borko Bošković, Viljem Žumer (2007). Differential Evolution for Multiobjective Optimization with self Adaptation. IEEE Congress on Evolutionary Computation
• Janez Brest, Aleš Zamuda, Borko Bošković, Sašo Greiner, Viljem Žumer (2008). An Analysis of the Control Parameters’ Adaptation in DE. Advances in Differential Evolution, Springer
• 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, Springer
• Sašo Greiner, Janez Brest, Viljem Žumer (2009). Zero - a blend of static typing and dynamic metaprogramming. Computer Languages, Systems & Structures, Vol. 35, No. 3

2010 ...

• Borko Bošković, Janez Brest (2011). Tuning Chess Evaluation Function Parameters using Differential Evolution. Informatica, Vol. 35, No. 2
• 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
• Borko Bošković, Janez Brest (2011). Chess Program Umko. Elektrotehniški vestnik, Vol. 78, No. 3, English Edition, pdf
• Aleš Zamuda, Janez Brest (2013). Environmental Framework to Visualize Emergent Artificial Forest Ecosystems. Information Sciences, Vol. 220
• Borko Bošković, Franc Brglez, Janez Brest (2014). Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them. arXiv:1406.5301
• Aleš Zamuda, Janez Brest (2014). Vectorized Procedural Models for Animated Trees Reconstruction using Differential Evolution. Information Sciences, Vol. 278

2015 ...

• Aleš Zamuda, Janez Brest (2015). Self-adaptive control parameters' randomization frequency and propagations in differential evolution. Swarm and Evolutionary Computation, Vol. 25
• Borko Bošković, Janez Brest (2016). Genetic algorithm with advanced mechanisms applied to the protein structure prediction in a hydrophobic-polar model and cubic lattice. Applied Soft Computing, Vol. 45
• Borko Bošković, Janez Brest (2017). Protein Folding Optimization using Differential Evolution Extended with Local Search and Component Reinitialization. arXiv:1710.07031
• Borko Bošković, Janez Brest (2018). Protein folding optimization using differential evolution extended with local search and component reinitialization. Information Sciences, Vol. 454–455

External Links

• Janez Brest - Computer Architecture and Languages Laboratory
• Chess program MinkoChess - Computer Architecture and Languages Laboratory
• Programming language Zero - Computer Architecture and Languages Laboratory
• The Mathematics Genealogy Project - Janez Brest

References

Up one level