Genetic Programming Bibliography entries for Michael Kommenda

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GP coauthors/coeditors: Michael Affenzeller, Stephan M Winkler, Stefan Forstenlechner, Gabriel Kronberger, Stefan Wagner, Herbert Stekel, Bogdan Burlacu, Gerd Bramerdorfer, Guenther Weidenholzer, Siegfried Silber, Wolfgang Amrhein, Leonhard Schickmair, Benjamin Lindner, Christoph Feilmayr, Andreas Beham, R Holecek, A Gebeshuber, Johannes Karder, Thomas Burgler, Stefan Fink, Andreas Scheibenpflug, Heinz Dobler, Andreas Promberger, Falk Nickel, Edwin Lughofer, Susanne Saminger-Platz, Erik Pitzer, Stefan Vonolfen, Monika Kofler, Viktoria Dorfer, Witold Jacak, Philipp Fleck, Ciprian Zavoianu, Daniela Zaharie,

Genetic Programming Articles by Michael Kommenda

  1. Gabriel Kronberger and Michael Kommenda and Edwin Lughofer and Susanne Saminger-Platz and Andreas Promberger and Falk Nickel and Stephan Winkler and Michael Affenzeller. Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Applied Soft Computing, 69:610-624, 2018. details

  2. Gerd Bramerdorfer and Stephan M. Winkler and Michael Kommenda and Guenther Weidenholzer and Siegfried Silber and Gabriel Kronberger and Michael Affenzeller and Wolfgang Amrhein. Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs. IEEE Transactions on Industrial Electronics, 61(11):6454-6462, 2014. details

  3. Stephan M. Winkler and Michael Affenzeller and Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Viktoria Dorfer and Witold Jacak and Herbert Stekel. On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. International Journal of Simulation and Process Modelling, 8(1):29-41, 2013. details

  4. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. On the Use of Estimated Tumor Marker Classifications in Tumor Diagnosis Prediction - A Case Study for Breast Cancer. International Journal of Simulation and Process Modelling, 2011. details

Genetic Programming conference papers by Michael Kommenda

  1. Gabriel Kronberger and Michael Kommenda and Andreas Promberger and Falk Nickel. Predicting friction system performance with symbolic regression and genetic programming with factor variables. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1278-1285, Kyoto, Japan, 2018. ACM. details

  2. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Gabriel Kronberger and Stephan Winkler. Schema Analysis in Tree-Based Genetic Programming. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 17-37, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  3. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Gabriel Kronberger and Stephan M. Winkler. Analysis of Schema Frequencies in Genetic Programming. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, Part I, volume 10671, pages 432-438, Las Palmas de Gran Canaria, Spain, 2017. Springer. Revised Selected Papers. details

  4. Michael Affenzeller and Stephan M. Winkler and Bogdan Burlacu and Gabriel Kronberger and Michael Kommenda and Stefan Wagner. Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP Variants. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1553-1558, Berlin, Germany, 2017. ACM. details

  5. Gabriel K. Kronberger and Bogdan Burlacu and Michael Kommenda and Stephan Winkler and Michael Affenzeller. Measures for the Evaluation and Comparison of Graphical Model Structures. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 283-290, Las Palmas de Gran Canaria, Spain, 2017. details

  6. Michael Kommenda and Johannes Karder and Andreas Beham and Bogdan Burlacu and Gabriel K. Kronberger and Stefan Wagner and Michael Affenzeller. Optimization Networks for Integrated Machine Learning. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 392-399, Las Palmas de Gran Canaria, Spain, 2017. details

  7. Michael Affenzeller and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Gabriel K. Kronberger and Stefan Wagner. Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 424-431, Las Palmas de Gran Canaria, Spain, 2017. Springer. details

  8. Stephan M. Winkler and Michael Affenzeller and Bogdan Burlacu and Gabriel Kronberger and Michael Kommenda and Philipp Fleck. Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. In William Tozier and Brian W. Goldman and Bill Worzel and Rick Riolo editors, Genetic Programming Theory and Practice XIV, Ann Arbor, USA, 2016. Forthcoming. details

  9. Michael Kommenda and Gabriel Kronberger and Michael Affenzeller and Stephan Winkler and Bogdan Burlacu. Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, Ann Arbor, USA, 2015. Springer. details

  10. Gabriel Kronberger and Michael Kommenda and Stephan M. Winkler and Michael Affenzeller. Using Contextual Information in Sequential Search for Grammatical Optimization Problems. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 15th International Conference Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 417-424, Las Palmas de Gran Canaria, Spain, 2015. Springer. Revised Selected Papers. details

  11. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda. On the Effectiveness of Genetic Operations in Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 15th International Conference Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 367-374, Las Palmas de Gran Canaria, Spain, 2015. Springer. Revised Selected Papers. details

  12. Bogdan Burlacu and Michael Kommenda and Michael Affenzeller. Building Blocks Identification Based on Subtree Sample Counts for Genetic Programming. In 2015 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), pages 152-157, 2015. details

  13. Stephan M. Winkler and Gabriel K. Kronberger and Michael Kommenda and Stefan Fink and Michael Affenzeller. Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 326-333, Las Palmas, Gran Canaria, Spain, 2015. Springer. details

  14. M. Kommenda and B. Burlacu and R. Holecek and A. Gebeshuber and M. Affenzeller. Heat Treatment Process Parameter Estimation using Heuristic Optimization Algorithms. In Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015, pages 222-228, Bergeggi, Italy, 2015. details

  15. Michael Kommenda and Andreas Beham and Michael Affenzeller and Gabriel K. Kronberger. Complexity Measures for Multi-Objective Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 409-416, Las Palmas, Gran Canaria, Spain, 2015. Springer. details

  16. Stephan M. Winkler and Michael Affenzeller and Gabriel Kronberger and Michael Kommenda and Bogdan Burlacu and Stefan Wagner. Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. In Rick Riolo and William P. Worzel and Mark Kotanchek editors, Genetic Programming Theory and Practice XII, pages 91-107, Ann Arbor, USA, 2014. Springer. details

  17. Michael Kommenda and Michael Affenzeller and Bogdan Burlacu and Gabriel Kronberger and Stephan M. Winkler. Genetic programming with data migration for symbolic regression. In Steven Gustafson and Ekaterina Vladislavleva editors, GECCO 2014 Workshop on Symbolic Regression and Modelling, pages 1361-1366, Vancouver, BC, Canada, 2014. ACM. details

  18. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda. On the Evolutionary Behavior of Genetic Programming with Constants Optimization. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2013, volume 8111, pages 284-291, Las Palmas de Gran Canaria, Spain, 2013. Springer. 14th International Conference, Revised Selected Papers. details

  19. Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Heinz Dobler. GPDL: a framework-independent problem definition language for grammar-guided genetic programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1333-1340, Amsterdam, The Netherlands, 2013. ACM. details

  20. Gabriel Kronberger and Michael Kommenda. Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming. In EuroCAST 2013, Las Palmas, Canary Islands, Spain, 2013. Springer. details

  21. Michael Kommenda and Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner. Effects of constant optimization by nonlinear least squares minimization in symbolic regression. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1121-1128, Amsterdam, The Netherlands, 2013. ACM. details

  22. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Stephan Winkler and Gabriel Kronberger. Visualization of genetic lineages and inheritance information in genetic programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1351-1358, Amsterdam, The Netherlands, 2013. ACM. details

  23. Michael Kommenda and Michael Affenzeller and Gabriel K. Kronberger and Stephan M. Winkler. Nonlinear Least Squares Optimization of Constants in Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2013, volume 8111, pages 420-427, Las Palmas de Gran Canaria, Spain, 2013. Springer. details

  24. S. Wagner and G. Kronberger and A. Beham and M. Kommenda and A. Scheibenpflug and E. Pitzer and S. Vonolfen and M. Kofler and S. Winkler and V. Dorfer and M. Affenzeller. Architecture and Design of the HeuristicLab Optimization Environment. In Robin Braun and Zenon Chaczko and Franz Pichler editors, First Australian Conference on the Applications of Systems Engineering, ACASE, volume 6, pages 197-261, Sydney, Australia, 2012. Springer International Publishing. Selected and updated papers. details

  25. Gabriel Kronberger and Stefan Wagner and Michael Kommenda and Andreas Beham and Andreas Scheibenpflug and Michael Affenzeller. Knowledge Discovery through Symbolic Regression with HeuristicLab. In Bettina Berendt and Myra Spiliopoulou editors, Conference booklet ECML-PKDD 2012, volume 7524, pages 824-827, Bristol UK, 2012. Springer. Demo Spotlights. details

  26. Michael Kommenda and Gabriel Kronberger and Stefan Wagner and Stephan Winkler and Michael Affenzeller. On the architecture and implementation of tree-based genetic programming in HeuristicLab. In Stefan Wagner and Michael Affenzeller editors, GECCO 2012 Evolutionary Computation Software Systems (EvoSoft), pages 101-108, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  27. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Stephan M. Winkler and Gabriel Kronberger. Evolution Tracking in Genetic Programming. In Emilio Jimenez and Boris Sokolov editors, The 24th European Modeling and Simulation Symposium, EMSS 2012, Vienna, Austria, 2012. details

  28. Michael Affenzeller and Stephan M. Winkler and Stefan Forstenlechner and Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Herbert Stekel. Enhanced Confidence Interpretations of GP Based Ensemble Modeling Results. In Emilio Jimenez and Boris Sokolov editors, The 24th European Modeling and Simulation Symposium, EMSS 2012, pages 340-345, Vienna, Austria, 2012. details

  29. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. Variable Interaction Networks in Medical Data. In Proceedings of the 24th European Modeling and Simulation Symposium EMSS 2012, pages 265-270, Vienna, Austria, 2012. details

  30. Stephan M. Winkler and Michael Affenzeller and Gabriel K. Kronberger and Michael Kommenda and Stefan Wagner and Witold Jacak and Herbert Stekel. Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 335-342, 2012. Springer. details

  31. Alexandru-Ciprian Zavoianu and Gabriel Kronberger and Michael Kommenda and Daniela Zaharie and Michael Affenzeller. Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 264-271, Las Palmas de Gran Canaria, Spain, 2011. Springer. details

  32. Gabriel Kronberger and Stefan Fink and Michael Kommenda and Michael Affenzeller. Macro-economic Time Series Modeling and Interaction Networks. In Cecilia Di Chio and Anthony Brabazon and Gianni Di Caro and Rolf Drechsler and Marc Ebner and Muddassar Farooq and Joern Grahl and Gary Greenfield and Christian Prins and Juan Romero and Giovanni Squillero and Ernesto Tarantino and Andrea G. B. Tettamanzi and Neil Urquhart and A. Sima Uyar editors, Applications of Evolutionary Computing, EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, EvoTRANSLOG, volume 6625, pages 101-110, Turin, Italy, 2011. Springer Verlag. details

  33. Gabriel Kronberger and Michael Kommenda and Michael Affenzeller. Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. In Steven Gustafson and Ekaterina Vladislavleva editors, 3rd symbolic regression and modeling workshop for GECCO 2011, pages 631-638, Dublin, Ireland, 2011. ACM. details

  34. Michael Kommenda and Gabriel Kronberger and Christoph Feilmayr and Michael Affenzeller. Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset. In Cecilia Di Chio and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I Esparcia-Alcazar and Juan J. Merelo and Ferrante Neri and Mike Preuss and Hendrik Richter and Julian Togelius and Georgios N. Yannakakis editors, Applications of Evolutionary Computing, EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, EvoSTOC, volume 6624, pages 274-283, Turin, Italy, 2011. Springer Verlag. details

  35. Stephan M. Winkler and Michael Affenzeller and Gabriel K. Kronberger and Michael Kommenda and Stefan Wagner and Witold Jacak and Herbert Stekel. Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Proceedings of International Conference on Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 335-342, Las Palmas, Spain, 2011. Springer. details

  36. Gabriel K. Kronberger and Stephan M. Winkler and Michael Affenzeller and Michael Kommenda and Stefan Wagner. Effects of Mutation before and after offspring selection in genetic programming for symbolic regression. In Agostino Bruzzone and Claudia Frydman editors, 22nd European Modeling \& Simulation Symposium (Simulation in Industry), EMSS 2010, Fes, Morocco, 2010. details

  37. Gabriel Kronberger and Christoph Feilmayr and Michael Kommenda and Stephan Winkler and Michael Affenzeller and Thomas Burgler. System Identification of Blast Furnace Processes with Genetic Programming. In 2nd International Symposium on Logistics and Industrial Informatics, LINDI 2009, pages 1-6, Linz, Austria, 2009. details

  38. Michael Kommenda and Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner and Leonhard Schickmair and Benjamin Lindner. Application of Genetic Programming on Temper Mill Datasets. In 2nd International Conference on Logistics and Industrial Informatics, LINDI 2009, pages 1-5, 2009. details

Genetic Programming book chapters by Michael Kommenda

  1. Gabriel Kronberger and Michael Kommenda. Search Strategies for Grammatical Optimization Problems - Alternatives to Grammar-Guided Genetic Programming. In Grzegorz Borowik and Zenon Chaczko and Witold Jacak and Tadeusz Luba editors, Computational Intelligence and Efficiency in Engineering Systems, volume 595 of Studies in Computational Intelligence, pages 89-102. Springer, 2015. details

  2. Michael Kommenda and Michael Affenzeller and Gabriel Kronberger and Bogdan Burlacu and Stephan M. Winkler. Multi-Population Genetic Programming with Data Migration for Symbolic Regression. In Grzegorz Borowik and Zenon Chaczko and Witold Jacak and Tadeusz Luba editors, Computational Intelligence and Efficiency in Engineering Systems, volume 595 of Studies in Computational Intelligence, pages 75-87. Springer, 2015. details

  3. Bogdan Burlacu and Michael Affenzeller and Stephan M. Winkler and Michael Kommenda and Gabriel Kronberger. Methods for Genealogy and Building Block Analysis in Genetic Programming. In Grzegorz Borowik and Zenon Chaczko and Witold Jacak and Tadeusz Luba editors, Computational Intelligence and Efficiency in Engineering Systems, volume 595 of Studies in Computational Intelligence, pages 61-74. Springer, 2015. details

  4. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. On the Identification of Virtual Tumor Markers and Tumor Diagnosis Predictors Using Evolutionary Algorithms. In R. Klempous and J. Nikodem and W. Jacak and Z. Chaczko editors, Advanced Methods and Applications in Computational Intelligence, pages 95-122. Springer, 2014. details

  5. Michael Affenzeller and Stephan M. Winkler and Gabriel Kronberger and Michael Kommenda and Bogdan Burlacu and Stefan Wagner. Gaining Deeper Insights in Symbolic Regression. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 10, pages 175-190. Springer, Ann Arbor, USA, 2013. details

  6. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner and Gabriel K. Kronberger and Michael Kommenda. Using Genetic Programming in Nonlinear Model Identification. In Daniel Alberer and Hakan Hjalmarsson and Luigi del Re editors, Workshop on Identification in Automotive 2010, volume 418 of Lecture Notes in Control and Information Sciences, chapter 6, pages 89-109. Springer, Linz, Austria, 2010. details