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Jiri Kubalik
Jiri Kubalik
Czech Institute of Informatics, Robotics and Cybernetics, CTU in Prague
Verified email at cvut.cz
Title
Cited by
Cited by
Year
Software project portfolio optimization with advanced multiobjective evolutionary algorithms
T Kremmel, J Kubalík, S Biffl
Applied Soft Computing 11 (1), 1416-1426, 2011
842011
Iterative prototype optimisation with evolved improvement steps
J Kubalik, J Faigl
European Conference on Genetic Programming, 154-165, 2006
342006
Genetic algorithms and their testing
J Kubalı́k, J Lažanský
AIP Conference Proceedings 465 (1), 217-229, 1999
271999
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
252009
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
242016
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
192010
Rescue operation planning by soft computing techniques
M Kulich, J Kubalik, J Kléma, J Faigl
IEEE 4th International Conference on Intelligent Systems Design and …, 2004
192004
Symbolic regression methods for reinforcement learning
J Kubalík, E Derner, J Žegklitz, R Babuška
IEEE Access 9, 139697-139711, 2021
172021
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
172018
Optimal control via reinforcement learning with symbolic policy approximation
J Kubalík, E Alibekov, R Babuška
IFAC-PapersOnLine 50 (1), 4162-4167, 2017
172017
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
162020
Constructing parsimonious analytic models for dynamic systems via symbolic regression
E Derner, J Kubalík, N Ancona, R Babuška
Applied Soft Computing 94, 106432, 2020
152020
Reinforcement learning with symbolic input-output models
E Derner, J Kubalík, R Babuška
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
142018
Enhanced symbolic regression through local variable transformations
J Kubalık, E Derner, R Babuška
Proceedings of the 9th International Joint Conference on Computational …, 2017
142017
Hyper-heuristic based on iterated local search driven by evolutionary algorithm
J Kubalík
European Conference on Evolutionary Computation in Combinatorial …, 2012
142012
An integrated approach to goal selection in mobile robot exploration
M Kulich, J Kubalík, L Přeučil
Sensors 19 (6), 1400, 2019
112019
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
112018
Evolutionary hyperheuristic for capacitated vehicle routing problem
J Mlejnek, J Kubalik
Proceedings of the 15th annual conference companion on Genetic and …, 2013
112013
Solving the sorting network problem using iterative optimization with evolved hypermutations
J Kubalík
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
112009
Genetic Algorithms with Limited Convergence
J Kubalik, L Rothkrantz, J Lažanský
Information Processing with Evolutionary Algorithms, 233-253, 2005
112005
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