Michael Affenzeller
Michael Affenzeller
University of Applied Sciences Upper Austria
Verified email at - Homepage
Cited by
Cited by
Genetic algorithms and genetic programming: modern concepts and practical applications
M Affenzeller, S Wagner, S Winkler, A Beham
Crc Press, 2009
A comprehensive survey on fitness landscape analysis
E Pitzer, M Affenzeller
Recent advances in intelligent engineering systems, 161-191, 2012
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
Heuristiclab: A generic and extensible optimization environment
S Wagner, M Affenzeller
Adaptive and Natural Computing Algorithms: Proceedings of the International …, 2005
Offspring selection: A new self-adaptive selection scheme for genetic algorithms
M Affenzeller, S Wagner
Adaptive and Natural Computing Algorithms: Proceedings of the International …, 2005
Machine learning based concept drift detection for predictive maintenance
J Zenisek, F Holzinger, M Affenzeller
Computers & Industrial Engineering 137, 106031, 2019
SASEGASA: A new generic parallel evolutionary algorithm for achieving highest quality results
M Affenzeller, S Wagner
Journal of Heuristics 10, 243-267, 2004
SexualGA: Gender-specific selection for genetic algorithms
S Wagner, M Affenzeller
Proceedings of the 9th World Multi-Conference on Systemics, Cybernetics and …, 2005
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
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
New methods for the identification of nonlinear model structures based upon genetic programming techniques
S Winkler, M Affenzeller, S Wagner
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
Re-warehousing vs. healing: Strategies for warehouse storage location assignment
M Kofler, A Beham, S Wagner, M Affenzeller, W Achleitner
3rd IEEE International Symposium on Logistics and Industrial Informatics, 77-82, 2011
Benefits of plugin-based heuristic optimization software systems
S Wagner, S Winkler, E Pitzer, G Kronberger, A Beham, R Braune, ...
Computer Aided Systems Theory–EUROCAST 2007: 11th International Conference …, 2007
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
Advanced genetic programming based machine learning
S Winkler, M Affenzeller, S Wagner
Journal of Mathematical Modelling and Algorithms in Operations Research 6 (3 …, 2007
Parameter meta-optimization of metaheuristic optimization algorithms
C Neumüller, S Wagner, G Kronberger, M Affenzeller
Computer Aided Systems Theory–EUROCAST 2011: 13th International Conference …, 2012
Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis
SM Winkler, M Affenzeller, S Wagner
Genetic Programming and Evolvable Machines 10, 111-140, 2009
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
Macro-economic time series modeling and interaction networks
G Kronberger, S Fink, M Kommenda, M Affenzeller
Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMNET …, 2011
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