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Michael Kommenda
Michael Kommenda
Bestätigte E-Mail-Adresse bei fh-hagenberg.at
Titel
Zitiert von
Zitiert von
Jahr
Architecture and design of the heuristiclab optimization environment
S Wagner, G Kronberger, A Beham, M Kommenda, A Scheibenpflug, ...
Advanced Methods and Applications in Computational Intelligence, 197-261, 2014
1262014
Effects of constant optimization by nonlinear least squares minimization in symbolic regression
M Kommenda, G Kronberger, S Winkler, M Affenzeller, S Wagner
Proceedings of the 15th annual conference companion on Genetic and …, 2013
622013
Using FE calculations and data-based system identification techniques to model the nonlinear behavior of PMSMs
G Bramerdorfer, SM Winkler, M Kommenda, G Weidenholzer, S Silber, ...
IEEE Transactions on Industrial Electronics 61 (11), 6454-6462, 2014
482014
Advanced Methods and Applications in Computational Intelligence, volume 6 of Topics in Intelligent Engineering and Informatics, chapter Architecture and Design of the …
S Wagner, G Kronberger, A Beham, M Kommenda, A Scheibenpflug, ...
Springer 53 (55), 197-261, 2014
422014
Macro-economic time series modeling and interaction networks
G Kronberger, S Fink, M Kommenda, M Affenzeller
European Conference on the Applications of Evolutionary Computation, 101-110, 2011
352011
Parameter identification for symbolic regression using nonlinear least squares
M Kommenda, B Burlacu, G Kronberger, M Affenzeller
Genetic Programming and Evolvable Machines 21 (3), 471-501, 2020
312020
Gaining deeper insights in symbolic regression
M Affenzeller, SM Winkler, G Kronberger, M Kommenda, B Burlacu, ...
Genetic Programming Theory and Practice XI, 175-190, 2014
312014
HeuristicLab 3.3: A unified approach to metaheuristic optimization
S Wagner, A Beham, G Kronberger, M Kommenda, E Pitzer, M Kofler, ...
Actas del séptimo congreso español sobre Metaheurísticas, Algoritmos …, 2010
242010
Visualization of genetic lineages and inheritance information in genetic programming
B Burlacu, M Affenzeller, M Kommenda, S Winkler, G Kronberger
Proceedings of the 15th annual conference companion on Genetic and …, 2013
232013
On the architecture and implementation of tree-based genetic programming in HeuristicLab
M Kommenda, G Kronberger, S Wagner, S Winkler, M Affenzeller
Proceedings of the 14th annual conference companion on Genetic and …, 2012
222012
Evolution of covariance functions for gaussian process regression using genetic programming
G Kronberger, M Kommenda
International Conference on Computer Aided Systems Theory, 308-315, 2013
212013
Evolving simple symbolic regression models by multi-objective genetic programming
M Kommenda, G Kronberger, M Affenzeller, SM Winkler, B Burlacu
Genetic Programming Theory and Practice XIII, 1-19, 2016
202016
Contemporary Symbolic Regression Methods and their Relative Performance
W La Cava, P Orzechowski, B Burlacu, FO de França, M Virgolin, Y Jin, ...
arXiv preprint arXiv:2107.14351, 2021
192021
Extended Regression Models for Predicting the Pumping Capability and Viscous Dissipation of Two-Dimensional Flows in Single-Screw Extrusion
W Roland, M Kommenda, C Marschik, J Miethlinger
Polymers 11 (2), 334, 2019
162019
Optimization strategies for integrated knapsack and traveling salesman problems
A Beham, J Fechter, M Kommenda, S Wagner, SM Winkler, M Affenzeller
International Conference on Computer Aided Systems Theory, 359-366, 2015
132015
PRIMOS: An Integrated Database of Reassessed Protein–Protein Interactions Providing Web-Based Access to In Silico Validation of Experimentally Derived Data
R Rid, W Strasser, D Siegl, C Frech, M Kommenda, T Kern, H Hintner, ...
Assay and drug development technologies 11 (5), 333-346, 2013
132013
Operon C++ an efficient genetic programming framework for symbolic regression
B Burlacu, G Kronberger, M Kommenda
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
122020
Simulation-Based Optimization with HeuristicLab: Practical Guidelines and Real-World Applications
M Affenzeller, A Beham, S Vonolfen, E Pitzer, SM Winkler, S Hutterer, ...
Applied Simulation and Optimization, 3-38, 2015
122015
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems
G Kronberger, M Kommenda, E Lughofer, S Saminger-Platz, ...
Applied Soft Computing 69, 610-624, 2018
112018
Sliding window symbolic regression for detecting changes of system dynamics
SM Winkler, M Affenzeller, G Kronberger, M Kommenda, B Burlacu, ...
Genetic Programming Theory and Practice XII, 91-107, 2015
112015
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