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Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.

M. Affenzeller, B. Burlacu, S. Winkler, M. Kommenda, G. Kronberger, and S. Wagner. EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 424-431. Springer, (2017)

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Dr. Gabriel Axtmann University of Stuttgart

Univ. -Prof. Dr. phil. Gabriel Viehhauser University of Stuttgart

Prof. Dr. Oscar Gabriel University of Stuttgart

Dr. -Ing. Gabriel-Adrian Kerekes University of Stuttgart

Alejandro Gabriel Villanueva Zacarias

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Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.E. Lughofer, G. Kronberger, M. Kommenda, S. Saminger-Platz, A. Promberger, F. Nickel, S. Winkler, and M. Affenzeller. IJCCI (FCTA), page 51-63. SciTePress, (2016)Metaheuristic Optimization.M. Affenzeller, A. Beham, M. Kofler, G. Kronberger, S. Wagner, and S. Winkler. Hagenberg Research, Springer, (2009)Benefits of Plugin-Based Heuristic Optimization Software Systems.S. Wagner, S. Winkler, E. Pitzer, G. Kronberger, A. Beham, R. Braune, and M. Affenzeller. EUROCAST, volume 4739 of Lecture Notes in Computer Science, page 747-754. Springer, (2007)Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming.G. Kronberger, and M. Kommenda. EUROCAST (1), volume 8111 of Lecture Notes in Computer Science, page 308-315. Springer, (2013)Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.S. Winkler, G. Kronberger, M. Kommenda, S. Fink, and M. Affenzeller. EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 326-333. Springer, (2015)Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-Valued Optimization Problem.E. Pitzer, and G. Kronberger. EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 375-383. Springer, (2015)Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods.J. Hidalgo, J. Colmenar, G. Kronberger, S. Winkler, O. Garnica, and J. Lanchares. J. Medical Systems, 41 (9): 142 (2017)Using Ontologies to Express Prior Knowledge for Genetic Programming.S. Prieschl, D. Girardi, and G. Kronberger. CD-MAKE, volume 11713 of Lecture Notes in Computer Science, page 362-376. Springer, (2019)Predicting friction system performance with symbolic regression and genetic programming with factor variables.G. Kronberger, M. Kommenda, A. Promberger, and F. Nickel. GECCO, page 1278-1285. ACM, (2018)Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.M. Kommenda, G. Kronberger, C. Feilmayr, L. Schickmair, M. Affenzeller, S. Winkler, and S. Wagner. EUROCAST (1), volume 6927 of Lecture Notes in Computer Science, page 400-407. Springer, (2011)