Adam Viktorin
TitleCited byYear
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
222016
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
162017
Network based linear population size reduction in SHADE
A Viktorin, M Pluhacek, R Senkerik
2016 International Conference on Intelligent Networking and Collaborative …, 2016
162016
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
132016
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
92019
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
82017
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
82017
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
82016
Multi-Chaotic Differential Evolution For Vehicle Routing Problem With Profits.
A Viktorin, D Hrabec, M Pluhacek
ECMS, 245-251, 2016
82016
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
72017
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
72016
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
72016
Analytical Programming With Extended Individuals.
A Viktorin, M Pluhacek, ZK Oplatková, R Senkerik
ECMS, 237-244, 2016
72016
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
62017
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
62016
On the application of complex network analysis for metaheuristics
R Šenkerık, M Pluhácek, A Viktorin, J Janoštık
7th BIOMA Conference, 201-213, 2016
62016
Archive analysis in SHADE
A Viktorin, R Senkerik, M Pluhacek, T Kadavy
International Conference on Artificial Intelligence and Soft Computing, 688-699, 2017
42017
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
42017
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
42017
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
32018
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Articles 1–20