On the behavior and performance of chaos driven PSO algorithm with inertia weight M Pluhacek, R Senkerik, D Davendra, ZK Oplatkova, I Zelinka Computers & Mathematics with Applications 66 (2), 122-134, 2013 | 144 | 2013 |

Distance based parameter adaptation for success-history based differential evolution A Viktorin, R Senkerik, M Pluhacek, T Kadavy, A Zamuda Swarm and Evolutionary Computation 50, 100462, 2019 | 121 | 2019 |

Chaos particle swarm optimization with Eensemble of chaotic systems M Pluhacek, R Senkerik, D Davendra Swarm and Evolutionary Computation 25, 29-35, 2015 | 62 | 2015 |

Particle swarm optimization algorithm driven by multichaotic number generator M Pluhacek, R Senkerik, I Zelinka Soft Computing 18 (4), 631-639, 2014 | 51 | 2014 |

Chaos PSO algorithm driven alternately by two different chaotic maps-An initial study M Pluhacek, R Senkerik, I Zelinka, D Davendra 2013 IEEE Congress on Evolutionary Computation, 2444-2449, 2013 | 51 | 2013 |

Success-history based adaptive differential evolution algorithm with multi-chaotic framework for parent selection performance on CEC2014 benchmark set A Viktorin, M Pluhacek, R Senkerik 2016 IEEE congress on evolutionary computation (CEC), 4797-4803, 2016 | 48 | 2016 |

Evolutionary algorithms dynamics and its hidden complex network structures I Zelinka, D Davendra, J Lampinen, R Senkerik, M Pluhacek 2014 IEEE Congress on Evolutionary Computation (CEC), 3246-3251, 2014 | 44 | 2014 |

Complex network analysis of differential evolution algorithm applied to flowshop with no-wait problem D Davendra, I Zelinka, M Metlicka, R Senkerik, M Pluhacek 2014 IEEE Symposium on Differential Evolution (SDE), 1-8, 2014 | 43 | 2014 |

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 | 35 | 2020 |

Analytic programming in the task of evolutionary synthesis of a controller for high order oscillations stabilization of discrete chaotic systems ZK Oplatkova, R Senkerik, I Zelinka, M Pluhacek Computers & Mathematics with Applications 66 (2), 177-189, 2013 | 33 | 2013 |

Complex network analysis of evolutionary algorithms applied to combinatorial optimisation problem D Davendra, I Zelinka, R Senkerik, M Pluhacek Proceedings of the Fifth International Conference on Innovations in Bio …, 2014 | 31 | 2014 |

A review of real-world applications of particle swarm optimization algorithm M Pluhacek, R Senkerik, A Viktorin, T Kadavy, I Zelinka AETA 2017-Recent Advances in Electrical Engineering and Related Sciences …, 2018 | 30 | 2018 |

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 | 29 | 2023 |

Utilising the chaos-induced discrete self organising migrating algorithm to solve the lot-streaming flowshop scheduling problem with setup time D Davendra, R Senkerik, I Zelinka, M Pluhacek, M Bialic-Davendra Soft Computing 18, 669-681, 2014 | 29 | 2014 |

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 | 28 | 2021 |

Complex network analysis of discrete self-organising migrating algorithm D Davendra, I Zelinka, R Senkerik, M Pluhacek Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems, 161-174, 2014 | 28 | 2014 |

Do evolutionary algorithms indeed require randomness? I Zelinka, R Senkerik, M Pluhacek 2013 IEEE Congress on Evolutionary Computation, 2283-2289, 2013 | 27 | 2013 |

Do evolutionary algorithms indeed require random numbers? Extended study I Zelinka, M Chadli, D Davendra, R Senkerik, M Pluhacek, J Lampinen Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, 61-75, 2013 | 26 | 2013 |

Distance based parameter adaptation for differential evolution A Viktorin, R Senkerik, M Pluhacek, T Kadavy, A Zamuda 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 24 | 2017 |

Investigation on the differential evolution driven by selected six chaotic systems in the task of reactor geometry optimization R Senkerik, M Pluhacek, ZK Oplatkova, D Davendra, I Zelinka 2013 IEEE Congress on Evolutionary Computation, 3087-3094, 2013 | 24 | 2013 |