Genetic Programming Bibliography entries for Jan Zegklitz

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GP coauthors/coeditors: Jiri Kubalik, Eduard Alibekov, Robert Babuska, Erik Derner, Petr Posik,

Genetic Programming Articles by Jan Zegklitz

• Jan Zegklitz and Petr Posik. Benchmarking state-of-the-art symbolic regression. Genetic Programming and Evolvable Machines, 22(1):5-33, 2021. details

• Jan Zegklitz and Petr Posik. Symbolic regression in dynamic scenarios with gradually changing targets. Applied Soft Computing, 83:105621, 2019. details

• Jiri Kubalik and Eduard Alibekov and Jan Zegklitz and Robert Babuska. Hybrid Single Node Genetic Programming for Symbolic Regression. Trans. Computational Collective Intelligence, 9770:61-82, 2016. details

Genetic Programming PhD doctoral thesis Jan Zegklitz

• Jan Zegklitz. Enhancements of Genetic Programming-based Symbolic Regression Algorithms. PhD thesis, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic, 2021. details

Genetic Programming conference papers by Jan Zegklitz

• Jan Zegklitz and Petr Posik. Linear Combinations of Features As Leaf Nodes in Symbolic Regression. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 145-146, Berlin, Germany, 2017. ACM. details

• Jan Zegklitz and Petr Posik. Model Selection and Overfitting in Genetic Programming: Empirical Study. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1527-1528, Madrid, Spain, 2015. ACM. details

• Jan Zegklitz and Petr Posik. Symbolic Regression by Grammar-based Multi-Gene Genetic Programming. In Tea Tusar and Boris Naujoks editors, GECCO'15 Student Workshop, pages 1217-1220, Madrid, Spain, 2015. ACM. details

Genetic Programming other entries for Jan Zegklitz

• Jiri Kubalik and Jan Zegklitz and Erik Derner and Robert Babuska. Symbolic Regression Methods for Reinforcement Learning. 2019. details