| A version of IPOP-CMA-ES algorithm with midpoint for CEC 2017 single objective bound constrained problems R Biedrzycki 2017 IEEE Congress on Evolutionary Computation (CEC), 1489-1494, 2017 | 54 | 2017 |
| Bound constraints handling in Differential Evolution: An experimental study R Biedrzycki, J Arabas, D Jagodziński Swarm and Evolutionary Computation 50, 100453, 2019 | 53 | 2019 |
| A version of NL-SHADE-RSP algorithm with midpoint for CEC 2022 single objective bound constrained problems R Biedrzycki, J Arabas, E Warchulski 2022 IEEE congress on evolutionary computation (CEC), 1-8, 2022 | 40 | 2022 |
| Handling bound constraints in CMA-ES: An experimental study R Biedrzycki Swarm and Evolutionary Computation, 2019 | 34 | 2019 |
| Reliability and efficiency of differential evolution based method of determination of Jiles-Atherton model parameters for X30Cr13 corrosion resisting martensitic steel R Biedrzycki, D Jackiewicz, R Szewczyk Journal of Automation Mobile Robotics and Intelligent Systems 8 (4), 63-68, 2014 | 32 | 2014 |
| Improving evolutionary algorithms in a continuous domain by monitoring the population midpoint J Arabas, R Biedrzycki IEEE Transactions on Evolutionary Computation 21 (5), 807-812, 2017 | 21 | 2017 |
| Accuracy and bandwidth optimization of the over-determined offset-short reflectometer calibration A Lewandowski, W Wiatr, LJ Opalski, R Biedrzycki IEEE Transactions on Microwave Theory and Techniques 63 (3), 1076-1089, 2015 | 18 | 2015 |
| Machine learning methods in data fusion systems R Nowak, R Biedrzycki, J Misiurewicz 2012 13th International radar symposium, 400-405, 2012 | 15 | 2012 |
| On equivalence of algorithm's implementations: the CMA-ES algorithm and its five implementations R Biedrzycki Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 10 | 2019 |
| Determination of Jiles-Atherton model parameters using differential evolution R Biedrzycki, R Szewczyk, P Švec, W Winiarski Mechatronics-Ideas for Industrial Application, 11-18, 2015 | 9 | 2015 |
| Automatic adaptation in classification algorithms fusing data from heterogeneous sensors R Nowak, J Misiurewicz, R Biedrzycki 14th International Conference on Information Fusion, 1-7, 2011 | 8 | 2011 |
| Application of evolutionary methods to semiconductor double-chirped mirrors design R Biedrzycki, J Arabas, A Jasik, M Szymański, P Wnuk, P Wasylczyk, ... Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 7 | 2014 |
| Comparison with State-of-the-Art: Traps and Pitfalls R Biedrzycki 2021 IEEE Congress on Evolutionary Computation (CEC), 863-870, 2021 | 4 | 2021 |
| Compressor schedule optimization for a refrigerated warehouse using metaheuristic algorithms R Biedrzycki, K Kwiatkowski, P Cichosz 2021 IEEE Congress on Evolutionary Computation (CEC), 201-208, 2021 | 4 | 2021 |
| Modelling the influence of stresses on magnetic characteristics of the elements of the truss using extended Jiles-Atherton model D Jackiewicz, R Szewczyk, M Kachniarz, R Biedrzycki Acta Physica Polonica A 131 (4), 1189-1191, 2017 | 3 | 2017 |
| DNA sequence analysis R Biedrzycki Greenwoog 8, 2007 | 3 | 2007 |
| Evolutionary and greedy exploration of the space of decision trees R Biedrzycki, J Arabas Evolutionary Computation and Global Optimization. Prace Naukowe, Elektronika …, 2006 | 3 | 2006 |
| Improving the Differential Evolution Strategy by coupling it with CMA-ES E Warchulski, J Arabas, R Biedrzycki Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 2 | 2022 |
| Differences that make a difference: comparing implementations of selected optimization algorithms in R language R Biedrzycki Photonics Applications in Astronomy, Communications, Industry, and High …, 2018 | 2 | 2018 |
| Quasi-stability of real coded finite populations J Arabas, R Biedrzycki Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 2 | 2014 |
