Genetic algorithms and genetic programming: modern concepts and practical applications M Affenzeller, S Winkler, S Wagner, A Beham Taylor & Francis, 2009 | 761 | 2009 |
A comprehensive survey on fitness landscape analysis E Pitzer, M Affenzeller Recent advances in intelligent engineering systems, 161-191, 2012 | 284 | 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 | 186 | 2014 |
Machine learning based concept drift detection for predictive maintenance J Zenisek, F Holzinger, M Affenzeller Computers & Industrial Engineering 137, 106031, 2019 | 181 | 2019 |
Heuristiclab: A generic and extensible optimization environment S Wagner, M Affenzeller Adaptive and Natural Computing Algorithms: Proceedings of the International …, 2005 | 147 | 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 | 129 | 2005 |
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 | 104 | 2020 |
SASEGASA: A new generic parallel evolutionary algorithm for achieving highest quality results M Affenzeller, S Wagner Journal of Heuristics 10, 243-267, 2004 | 79 | 2004 |
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 | 73 | 2013 |
SexualGA: Gender-specific selection for genetic algorithms S Wagner, M Affenzeller Proceedings of the 9th World Multi-Conference on Systemics, Cybernetics and …, 2005 | 69 | 2005 |
New methods for the identification of nonlinear model structures based upon genetic programming techniques S Winkler, M Affenzeller, S Wagner SYSTEMS SCIENCE-WROCLAW- 31 (1), 5, 2005 | 61 | 2005 |
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 | 57 | 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 | 56 | 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 | 50 | 2007 |
Advanced methods and applications in computational intelligence S Wagner, G Kronberger, A Beham, M Kommenda, A Scheibenpflug, ... Topics in Intelligent Engineering and Informatics 6, 197-261, 2014 | 49 | 2014 |
Advanced genetic programming based machine learning S Winkler, M Affenzeller, S Wagner Journal of Mathematical Modelling and Algorithms 6 (3), 455-480, 2007 | 47 | 2007 |
Heterogeneous versus homogeneous machine learning ensembles A Petrakova, M Affenzeller, G Merkurjeva Information Technology and Management Science 18 (1), 135-140, 2015 | 46 | 2015 |
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 | 46 | 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 | 45 | 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 | 44 | 2014 |