A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic P Dziwiński, Ł Bartczuk IEEE Transactions on Fuzzy Systems, 2019 | 108 | 2019 |
A new algorithm for identification of significant operating points using swarm intelligence P Dziwiński, Ł Bartczuk, A Przybył, ED Avedyan Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 33 | 2014 |
A new method for dealing with unbalanced linguistic term set Ł Bartczuk, P Dziwiński, JT Starczewski Artificial Intelligence and Soft Computing: 11th International Conference …, 2012 | 28 | 2012 |
Fully controllable ant colony system for text data clustering P Dziwiński, Ł Bartczuk, JT Starczewski International Symposium on Evolutionary Computation, 199-205, 2012 | 26 | 2012 |
Learning methods for type-2 FLS based on FCM JT Starczewski, Ł Bartczuk, P Dziwiński, A Marvuglia Artificial Intelligence and Soft Computing: 10th International Conference …, 2010 | 21 | 2010 |
A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm P Dziwiński, Ł Bartczuk, J Paszkowski Journal of Artificial Intelligence and Soft Computing Research 10 (2), 95-111, 2020 | 20 | 2020 |
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm P Dziwiński, A Przybył, P Trippner, J Paszkowski, Y Hayashi Journal of Artificial Intelligence and Soft Computing Research 11, 2021 | 19 | 2021 |
A new approach to nonlinear modeling based on significant operating points detection P Dziwiński, ED Avedyan Artificial Intelligence and Soft Computing: 14th International Conference …, 2015 | 19 | 2015 |
Hybrid state variables-fuzzy logic modelling of nonlinear objects Ł Bartczuk, A Przybył, P Dziwiński Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 19 | 2013 |
Ant focused crawling algorithm P Dziwiński, D Rutkowska International Conference on Artificial Intelligence and Soft Computing, 1018 …, 2008 | 19 | 2008 |
New method for generation type-2 fuzzy partition for FDT Ł Bartczuk, P Dziwiński, JT Starczewski International Conference on Artificial Intelligence and Soft Computing, 275-280, 2010 | 18 | 2010 |
Algorithm for generating fuzzy rules for WWW document classification P Dziwiñski, D Rutkowska International Conference on Artificial Intelligence and Soft Computing, 1111 …, 2006 | 18 | 2006 |
A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points P Dziwiński, ED Avedyan Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 15 | 2016 |
New linguistic hedges in construction of interval type-2 FLS P Dziwiński, JT Starczewski, Ł Bartczuk International Conference on Artificial Intelligence and Soft Computing, 445-450, 2010 | 15 | 2010 |
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming Ł Bartczuk, P Dziwiński, VG Red’ko Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 11 | 2017 |
A method for non-linear modelling based on the capabilities of PSO and GA algorithms P Dziwiński, Ł Bartczuk, H Tingwen Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 7 | 2017 |
A new hybrid particle swarm optimization and evolutionary algorithm P Dziwiński, Ł Bartczuk, P Goetzen Artificial Intelligence and Soft Computing: 18th International Conference …, 2019 | 6 | 2019 |
A population based algorithm and fuzzy decision trees for nonlinear modeling P Dziwiński, Ł Bartczuk, K Przybyszewski Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 6 | 2018 |
A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling P Dziwiński, ED Avedyan Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 6 | 2016 |
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism P Dziwiński, Ł Bartczuk International Conference on Artificial Intelligence and Soft Computing, 363-374, 2023 | 1 | 2023 |