| 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 | 22 | 2016 |
| 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 | 16 | 2017 |
| Network based linear population size reduction in SHADE A Viktorin, M Pluhacek, R Senkerik 2016 International Conference on Intelligent Networking and Collaborative …, 2016 | 16 | 2016 |
| On the influence of different randomization and complex network analysis for differential evolution R Senkerik, A Viktorin, M Pluhacek, J Janostik, D Davendra 2016 IEEE Congress on Evolutionary Computation (CEC), 3346-3353, 2016 | 13 | 2016 |
| 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 | 9 | 2019 |
| A review of real-world applications of particle swarm optimization algorithm M Pluhacek, R Senkerik, A Viktorin, T Kadavy, I Zelinka International Conference on Advanced Engineering Theory and Applications …, 2017 | 8 | 2017 |
| PSO with partial population restart based on complex network analysis M Pluhacek, A Viktorin, R Senkerik, T Kadavy, I Zelinka International Conference on Hybrid Artificial Intelligence Systems, 183-192, 2017 | 8 | 2017 |
| Study on the time development of complex network for metaheuristic R Senkerik, A Viktorin, M Pluhacek, J Janostik, ZK Oplatkova Artificial Intelligence Perspectives in Intelligent Systems, 525-533, 2016 | 8 | 2016 |
| Multi-Chaotic Differential Evolution For Vehicle Routing Problem With Profits. A Viktorin, D Hrabec, M Pluhacek ECMS, 245-251, 2016 | 8 | 2016 |
| Towards better population sizing for differential evolution through active population analysis with complex network A Viktorin, R Senkerik, M Pluhacek, T Kadavy Conference on Complex, Intelligent, and Software Intensive Systems, 225-235, 2017 | 7 | 2017 |
| Hybridization of multi-chaotic dynamics and adaptive control parameter adjusting jDE strategy R Senkerik, M Pluhacek, I Zelinka, A Viktorin, ZK Oplatkova International Conference on Soft Computing-MENDEL, 77-87, 2016 | 7 | 2016 |
| Study on swarm dynamics converted into complex network M Pluháček, R Šenkeřík, J Janoštík, A Viktorin, I Zelinka Proceedings-30th European Conference on Modelling and Simulation, ECMS 2016, 2016 | 7 | 2016 |
| Analytical Programming With Extended Individuals. A Viktorin, M Pluhacek, ZK Oplatková, R Senkerik ECMS, 237-244, 2016 | 7 | 2016 |
| Proposal of a new swarm optimization method inspired in bison behavior A Kazikova, M Pluhacek, R Senkerik, A Viktorin 23rd International Conference on Soft Computing, 146-156, 2017 | 6 | 2017 |
| A heuristic approach to the facility location problem for waste management: A case study D Hrabec, A Viktorin, R Somplak, M Pluhacek, P Popela Mendel 22 (1), 61-66, 2016 | 6 | 2016 |
| On the application of complex network analysis for metaheuristics R Šenkerık, M Pluhácek, A Viktorin, J Janoštık 7th BIOMA Conference, 201-213, 2016 | 6 | 2016 |
| Archive analysis in SHADE A Viktorin, R Senkerik, M Pluhacek, T Kadavy International Conference on Artificial Intelligence and Soft Computing, 688-699, 2017 | 4 | 2017 |
| Comparing border strategies for roaming particles on single and Multi-Swarm PSO T Kadavy, M Pluhacek, A Viktorin, R Senkerik Computer Science On-line Conference, 528-536, 2017 | 4 | 2017 |
| Exploring the shortest path in PSO communication network M Pluhacek, R Senkerik, A Viktorin, T Kadavy 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2017 | 4 | 2017 |
| New running technique for the bison algorithm A Kazikova, M Pluhacek, A Viktorin, R Senkerik International Conference on Artificial Intelligence and Soft Computing, 417-426, 2018 | 3 | 2018 |
