| Software project portfolio optimization with advanced multiobjective evolutionary algorithms T Kremmel, J Kubalík, S Biffl Applied Soft Computing 11 (1), 1416-1426, 2011 | 92 | 2011 |
| Symformer: End-to-end symbolic regression using transformer-based architecture M Vastl, J Kulhánek, J Kubalík, E Derner, R Babuška IEEE Access, 2024 | 53 | 2024 |
| Symbolic regression methods for reinforcement learning J Kubalík, E Derner, J Žegklitz, R Babuška IEEE Access 9, 139697-139711, 2021 | 38 | 2021 |
| Iterative prototype optimisation with evolved improvement steps J Kubalik, J Faigl European Conference on Genetic Programming, 154-165, 2006 | 37 | 2006 |
| Multi-objective symbolic regression for physics-aware dynamic modeling J Kubalík, E Derner, R Babuška Expert Systems with Applications 182, 115210, 2021 | 34 | 2021 |
| Symbolic regression driven by training data and prior knowledge J Kubalík, E Derner, R Babuška Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 958-966, 2020 | 34 | 2020 |
| Genetic algorithms and their testing J Kubalı́k, J Lažanský AIP Conference Proceedings 465 (1), 217-229, 1999 | 30 | 1999 |
| Symbolic method for deriving policy in reinforcement learning E Alibekov, J Kubalík, R Babuška 2016 IEEE 55th Conference on Decision and Control (CDC), 2789-2795, 2016 | 28 | 2016 |
| Clustering methods for agent distribution optimization J Kubalik, P Tichy, R Sindelar, RJ Staron IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009 | 27 | 2009 |
| Constructing parsimonious analytic models for dynamic systems via symbolic regression E Derner, J Kubalík, N Ancona, R Babuška Applied Soft Computing 94, 106432, 2020 | 25 | 2020 |
| An integrated approach to goal selection in mobile robot exploration M Kulich, J Kubalík, L Přeučil Sensors 19 (6), 1400, 2019 | 21 | 2019 |
| Policy derivation methods for critic-only reinforcement learning in continuous spaces E Alibekov, J Kubalík, R Babuška Engineering Applications of Artificial Intelligence 69, 178-187, 2018 | 21 | 2018 |
| Toward physically plausible data-driven models: A novel neural network approach to symbolic regression J Kubalík, E Derner, R Babuška IEEE Access 11, 61481-61501, 2023 | 20* | 2023 |
| Solving the DNA fragment assembly problem efficiently using iterative optimization with evolved hypermutations J Kubalik, P Buryan, L Wagner Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 20 | 2010 |
| Optimal control via reinforcement learning with symbolic policy approximation J Kubalík, E Alibekov, R Babuška IFAC-PapersOnLine 50 (1), 4162-4167, 2017 | 19 | 2017 |
| Rescue operation planning by soft computing techniques M Kulich, J Kubalik, J Kléma, J Faigl Proceedings of the IEEE 4th International Conference on Intelligent Systems …, 2004 | 19 | 2004 |
| Evolutionary hyperheuristic for capacitated vehicle routing problem J Mlejnek, J Kubalik Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 17 | 2013 |
| Hyper-heuristic based on iterated local search driven by evolutionary algorithm J Kubalík Evolutionary Computation in Combinatorial Optimization: 12th European …, 2012 | 16 | 2012 |
| Reinforcement learning with symbolic input-output models E Derner, J Kubalík, R Babuška 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 15 | 2018 |
| Data-driven construction of symbolic process models for reinforcement learning E Derner, J Kubalík, R Babuška 2018 IEEE International Conference on Robotics and Automation (ICRA), 5105-5112, 2018 | 15 | 2018 |
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueE-mail megerősítve itt: tudelft.nl
