Rafał Biedrzycki
Rafał Biedrzycki
Institute of Computer Science, Warsaw University of Technology
Verified email at - Homepage
Cited by
Cited by
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
Bound constraints handling in Differential Evolution: An experimental study
R Biedrzycki, J Arabas, D Jagodziński
Swarm and Evolutionary Computation 50, 100453, 2019
Handling bound constraints in CMA-ES: An experimental study
R Biedrzycki
Swarm and Evolutionary Computation, 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
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
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
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
Machine learning methods in data fusion systems
R Nowak, R Biedrzycki, J Misiurewicz
2012 13th International Radar Symposium, 400-405, 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
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
Determination of Jiles-Atherton model parameters using differential evolution
R Biedrzycki, R Szewczyk, P ©vec, W Winiarski
Mechatronics-Ideas for Industrial Application, 11-18, 2015
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
Comparison with State-of-the-Art: Traps and Pitfalls
R Biedrzycki
2021 IEEE Congress on Evolutionary Computation (CEC), 863-870, 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
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
DNA sequence analysis
R Biedrzycki
Greenwoog 8, 2007
Evolutionary and greedy exploration of the space of decision trees
R Biedrzycki, J Arabas
Evolutionary Computation and Global Optimization. Prace Naukowe, Elektronika …, 2006
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
Quasi-stability of real coded finite populations
J Arabas, R Biedrzycki
Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014
KIS: An automated attribute induction method for classification of DNA sequences.
R Biedrzycki, J Arabas
International Journal of Applied Mathematics & Computer Science 22 (3), 2012
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