Why tuning the control parameters of metaheuristic algorithms is so important for fair comparison? A Kazikova, M Pluhacek, R Senkerik Mendel 26 (2), 9-16, 2020 | 38 | 2020 |
Leveraging large language models for the generation of novel metaheuristic optimization algorithms M Pluhacek, A Kazikova, T Kadavy, A Viktorin, R Senkerik Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 37 | 2023 |
How does the number of objective function evaluations impact our understanding of metaheuristics behavior? A Kazikova, M Pluhacek, R Senkerik IEEE Access 9, 44032-44048, 2021 | 29 | 2021 |
Proposal of a new swarm optimization method inspired in bison behavior A Kazikova, M Pluhacek, R Senkerik, A Viktorin Recent Advances in Soft Computing: Proceedings of 23rd International …, 2019 | 24 | 2019 |
Performance of the bison algorithm on benchmark IEEE CEC 2017 A Kazikova, M Pluhacek, R Senkerik Artificial Intelligence and Algorithms in Intelligent Systems: Proceedings …, 2019 | 9 | 2019 |
Impact of boundary control methods on bound-constrained optimization benchmarking T Kadavy, A Viktorin, A Kazikova, M Pluhacek, R Senkerik Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 8 | 2023 |
Relation of neighborhood size and diversity loss rate in particle swarm optimization with ring topology M Pluháček, A Kazikova, T Kadavy, A Viktorin, R Senkerik Mendel 27 (2), 74-79, 2021 | 6 | 2021 |
Chaos in popular metaheuristic optimizers–a bibliographic analysis M Pluhacek, A Kazikova, A Viktorin, T Kadavy, R Senkerik Journal of Difference Equations and Applications 29 (9-12), 1228-1243, 2023 | 5 | 2023 |
Regarding the behavior of Bison runners within the Bison algorithm A Kazikova, M Pluhacek, R Senkerik Mendel 24 (1), 63-70, 2018 | 5 | 2018 |
On the common population diversity measures in metaheuristics and their limitations M Pluhacek, A Viktorin, T Kadavy, A Kazikova 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2021 | 4 | 2021 |
Introducing the run support strategy for the bison algorithm A Kazikova, M Pluhacek, T Kadavy, R Senkerik AETA 2018-Recent Advances in Electrical Engineering and Related Sciences …, 2020 | 4 | 2020 |
New Running Technique for the Bison Algorithm A Kazikova, M Pluhacek, A Viktorin, R Senkerik Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 4 | 2018 |
Explaining SOMA: the relation of stochastic perturbation to population diversity and parameter space coverage M Pluhacek, A Kazikova, T Kadavy, A Viktorin, R Senkerik Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 3 | 2021 |
Population diversity analysis in adaptive differential evolution variants with unconventional randomization schemes R Senkerik, A Viktorin, T Kadavy, M Pluhacek, A Kazikova, QB Diep, ... International Conference on Artificial Intelligence and Soft Computing, 506-518, 2019 | 3 | 2019 |
Tuning Of The Bison Algorithm Control Parameter. A Kazikova, M Pluhacek, R Senkerik ECMS, 156-162, 2018 | 3 | 2018 |
Investigating the Potential of AI-Driven Innovations for Enhancing Differential Evolution in Optimization Tasks M Pluhacek, A Kazikova, A Viktorin, T Kadavy, R Senkerik 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | 2 | 2023 |
Cascade PID Controller Optimization Using Bison Algorithm A Kazikova, K Łapa, M Pluhacek, R Senkerik International Conference on Artificial Intelligence and Soft Computing, 406-416, 2020 | 2 | 2020 |
Exploring clustering in SOMA T Kadavy, M Pluhacek, A Viktorin, A Kazikova, R Senkerik 2022 IEEE Workshop on Complexity in Engineering (COMPENG), 1-5, 2022 | 1 | 2022 |
Algoritmus Diferenciální Evoluce s prvky deterministického chaosu (ChaosDE) v prostředí C/C++ A Kazíková Univerzita Tomáše Bati ve Zlíně, 2013 | 1 | 2013 |
Inner Dynamics of Particle Swarm Optimization Interpreted by Complex Network Analysis M Pluhacek, T Kadavy, A Kazikova, A Viktorin, R Senkerik 2022 IEEE Workshop on Complexity in Engineering (COMPENG), 1-5, 2022 | | 2022 |