Publications list:
  1. Rafał Biedrzycki: Revisiting CEC 2022 ranking: A new ranking method and influence of parameter tuning, Swarm and Evolutionary Computation, vol. 89, no. 101623, 2024, ISSN:2210-6502, DOI: 10.1016/j.swevo.2024.101623. Self-archiving version of accepted paper is available here: Revisiting CEC 2022 ranking: A new ranking method and influence of parameter tuning. Keywords: CEC 2022, CEC2022, ranking, tuning, benchmarking. Cite: bibtex. Supplementary materials, including source code that calculates the proposed performance measure.
  2. Rafał Biedrzycki, Jarosław Arabas, Eryk Warchulski: A Version of NL-SHADE-RSP Algorithm with Midpoint for CEC 2022 Single Objective Bound Constrained Problems, CEC 2022, 18-23 July 2022 in Padua, Italy. Self-archiving version of accepted paper is available here: A Version of NL-SHADE-RSP Algorithm with Midpoint for CEC 2022 Single Objective Bound Constrained Problems. bibtex. The source code of the NL-SHADE-RSP-MID
  3. Eryk Warchulski, Jarosław Arabas, Rafał Biedrzycki: "Improving the differential evolution strategy by coupling it with CMA-ES", GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. July 2022. Pages 407–410. DOI:10.1145/3520304.3529023.
  4. Wiktor B. Daszczuk, Rafał Biedrzycki, Piotr Wilkin: "Using Evolutionary Algorithm in On-line Deployment". DOI:10.1007/978-3-031-06746-4_2. In: New Advances in Dependability of Networks and Systems. DepCoS-RELCOMEX 2022. Lecture Notes in Networks and Systems, vol 484. Springer, Cham, pp 11–21. 27 May 2022.
  5. (in Polish) Rafał Biedrzycki, Wiktor B. Daszczuk, Robert M. Nowak, Paweł Wawrzyński: "Przeszukiwanie i optymalizacja". W: M. Muraszkiewicz, R.M. Nowak, edytorzy: "Sztuczna inteligencja dla inżynierów. Metody ogólne". 2022. p. 21–60. ISBN 978-83-8156-356-7.
  6. Rafał Biedrzycki: Comparison with State-of-the-Art: Traps and Pitfalls. 2021 IEEE Congress on Evolutionary Computation (CEC). Kraków, Poland, 28 VI-1 VII 2021. Self-archiving version of accepted paper is available here: Comparison with State-of-the-Art: Traps and Pitfalls. Keywords: benchmarking. bibtex. The supplementary materials
  7. Rafał Biedrzycki, Kamil Kwiatkowski, Paweł Cichosz: Compressor Schedule Optimization for a Refrigerated Warehouse Using Metaheuristic Algorithms. 2021 IEEE Congress on Evolutionary Computation (CEC). Kraków, Poland, 28 VI-1 VII 2021. Self-archiving version of accepted paper is available here: Compressor Schedule Optimization for a Refrigerated Warehouse Using Metaheuristic Algorithms. Keywords: real world application. bibtex. The code of the refrigerated warehouse model and fitness function
  8. Rafał Biedrzycki: Handling bound constraints in CMA-ES: An experimental study, Swarm and Evolutionary Computation, vol. 52, no. 100627, 2020, ISSN:2210-6502, DOI: 10.1016/j.swevo.2019.100627. Self-archiving version of accepted paper is available here: Handling bound constraints in CMA-ES: An experimental study. Keywords: bound constraints handling, box constraints handling, boundary control methods. Cite: bibtex. Supplementary page with results of IPOP-CMA-ES variants on CEC 2017 benchmark.
  9. Stanisław Kozdrowski, Rafał Biedrzycki: Application of evolutionary algorithms to DWDM optical networks design. Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111760B (2019). DOI: 10.1117/12.2536666 Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland. bibtex
  10. Rafał Biedrzycki, Paweł Zawistowski, Bartłomiej Twardowski: Deep Learning Optimization Tasks and Metaheuristic Methods, Fundamenta Informaticae, vol. 168, no. 2-4, pp. 185-218, 2019, DOI: 10.3233/FI-2019-1828. Self-archiving version of accepted paper is available here: Deep Learning Optimization Tasks and Metaheuristic Methods. Cite: bibtex
  11. Rafał Biedrzycki: On equivalence of algorithm's implementations: the CMA-ES algorithm and its five implementations, GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019, pp. 247-248, DOI: 10.1145/3319619.3322011. bibtex. Self-archiving version of accepted paper is available here: On equivalence of algorithm's implementations: the CMA-ES algorithm and its five implementations
  12. Rafał Biedrzycki, Jarosław Arabas, Dariusz Jagodziński: Bound constraints handling in Differential Evolution: An experimental study, Swarm and Evolutionary Computation, vol. 50, no. 100453, 2019, ISSN:2210-6502, DOI: 10.1016/j.swevo.2018.10.004. IF:6.33. Self-archiving version of accepted paper is available here: Bound constraints handling in Differential Evolution. Keywords: bound constraints handling, box constraints handling, boundary control methods. bibtex
  13. Rafał Biedrzycki: Differences that make a difference: comparing implementations of selected optimization algorithms in R language. Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108081S (2018). DOI: 10.1117/12.2501381 Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland. bibtex
  14. Rafał Biedrzycki: A Version of IPOP-CMA-ES Algorithm with Midpoint for CEC 2017 Single Objective Bound Constrained Problems. 2017 IEEE Congress on Evolutionary Computation (CEC). Donostia - San Sebastián, Spain, 5-8 VI 2017. Self-archiving version of accepted paper is available here: A Version of IPOP-CMA-ES Algorithm with Midpoint for CEC 2017 Single Objective Bound Constrained Problems (RB-IPOP-CMA-ES). bibtex. The code of RB-IPOP-CMA-ES in R language (my version of IPOP (based on cmaesr package) was cleaned and partially rewritten by a Ph.D. student).
  15. Dorota Jackiewicz, Roman Szewczyk, Maciej Kachniarz, Rafał Biedrzycki: Modelling the Influence of Stresses on Magnetic Characteristics of the Elements of the Truss Using Extended Jiles-Atherton Model. Acta Physica Polonica, A., 2017, Vol. 131, no. 4. pp. 1189-1191. DOI: 10.12693/APhysPolA.131.1189 bibtex
  16. Jarosław Arabas, Rafał Biedrzycki: Improving evolutionary algorithms in a continuous domain by monitoring the population midpoint, in IEEE Transactions on Evolutionary Computation, vol. 21, no. 5, pp. 807-812, Oct. 2017, DOI:10.1109/TEVC.2017.2673962. Self-archiving version of accepted paper is available here: Improving evolutionary algorithms in a continuous domain by monitoring the population midpoint. bibtex. IF:10.629, EF:0.00855, AIS:2.231.
  17. Rafał Biedrzycki, Jarosław Arabas, Michał Szymański: Designing Mirrors for Ultrafast Lasers, in: Advances in Evolutionary Algorithms Research (ed: Gregor Papa), Nova Science Publishers Inc, ch. 7, 2015. ISBN: 978-1-63463-849-4
  18. Arkadiusz Lewandowski, Wojciech Wiatr, Leszek J. Opalski, Rafał Biedrzycki: Accuracy and Bandwidth Optimization of the Over-Determined Offset-Short Reflectometer Calibration, in: IEEE Transactions on Microwave Theory and Techniques, vol. 63, no. 3, pp. 1076-1089, 2015, ISSN 0018-9480, DOI:10.1109/TMTT.2015.2396496 bibtex. IF:2.943
  19. Rafał Biedrzycki, Roman Szewczyk, Peter Švec Sr., Wojciech Winiarski: Determination of Jiles-Atherton Model Parameters Using Differential Evolution, in: Mechatronics - Ideas for Industrial Application / Awrejcewicz Jan [et al.], Advances in Intelligent Systems and Computing, pp. 11-18, vol. 317, 2015, Springer, ISBN 978-3-319-10989-3, DOI:10.1007/978-3-319-10990-9_2 bibtex
  20. Rafał Biedrzycki, Dorota Jackiewicz, Roman Szewczyk. Reliability and Efficiency of Differential Evolution Based Method of Determination of Jiles-Atherton Model Parameters for X30Cr13 Corrosion Resisting Martensitic Steel. Journal of Automation, Mobile Robotics & Intelligent Systems, 2014, Vol. 8, no. 4, pp. 63-68. DOI: 10.14313/JAMRIS_4-2014/39. Keywords: real world application. bibtex
  21. Rafał Biedrzycki, Jarosław Arabas, Agata Jasik, Michał Szymański, Paweł Wnuk, Piotr Wasylczyk, Anna Wójcik-Jedlińska. Application of Evolutionary Methods to Semiconductor Double-Chirped Mirrors Design. In Parallel Problem Solving from Nature – PPSN XIII, 2014, Vol. 8672, pp. 761-770. ISBN 978-3-319-10761-5, DOI:10.1007/978-3-319-10762-2_75. Autor's version of a paper: Application of Evolutionary Methods to Semiconductor Double-Chirped Mirrors Design, bibtex. Keywords: real world application.
  22. Jarosław Arabas, Rafał Biedrzycki. Quasi-Stability of Real Coded Finite Populations. In Parallel Problem Solving from Nature – PPSN XIII, 2014, Vol. 8672, pp. 872-881. Print ISBN 978-3-319-10761-5, DOI:10.1007/978-3-319-10762-2_86. bibtex
  23. Rafał Biedrzycki, Jarosław Arabas. KIS: An automated attribute induction method for classification of DNA sequences. International Journal of Applied Mathematics and Computer Science, 2012, Vol. 22, No. 3, pp. 711-721. ISSN 1641-876X, DOI:10.2478/v10006-012-0053-2. IF 1.008 (JCR 2012), bibtex
  24. Robert Nowak, Rafal Biedrzycki, Jacek Misiurewicz. Machine learning methods in data fusion systems. In 13th International radar symposium (IRS 2012), Warsaw, Poland, 23 – 25 May 2012, pp. 400 – 405. IEEE, 2012. ISBN 978-1-4577-1835-9. bibtex
  25. (in Polish) Współautor 11 raportów technicznych na temat fuzji danych. V-XII 2011.
  26. Robert Nowak, Jacek Misiurewicz, Rafał Biedrzycki. Automatic adaptation in classification algorithms fusing data from heterogeneous sensors. In 14th Conference on Information Fusion (FUSION), Chicago, USA, 5 - 8 July 2011, pp. 1993 - 1999. IEEE, 2011. ISBN 978-0-9824438-3-5. bibtex
  27. Rafał Biedrzycki, Robert Nowak. Internet application architecture for data fusion. Technical report, Institute of Electronic Systems Warsaw University of Technology, 2010. bibtex
  28. (in Polish) Rafał Biedrzycki. Konstruktywna indukcja w zadaniu klasyfikacji sekwencji DNA. Rozprawa doktorska, Politechnika Warszawska, Warszawa, 2009. bibtex.
  29. Rafał Biedrzycki, Jarosław Arabas. Constructive Induction in Bio-sequences. In proc. of XVI International Conference on Systems Science, Wrocław, Poland, September 4-6 2007, v. 3, pp. 449-456. bibtex
  30. Rafał Biedrzycki. DNA sequence analysis. Prace Naukowe Politechniki Warszawskiej, seria Elektronika, zeszyt 160, strony 35-42. Warszawa 2007. bibtex.
  31. Rafał Biedrzycki, Jarosław Arabas. A Search Based View of Decision Tree Induction. In proc. of Artificial Intelligence Studies, Vol. 3,(26)/2006, pp. 119-127. bibtex.
  32. Rafał Biedrzycki, Jarosław Arabas. Evolutionary and greedy exploration of the space of decision trees. Prace Naukowe Politechniki Warszawskiej, seria Elektronika, zeszyt 156, strony 61-68. Warszawa 2006. bibtex.
  33. (in Polish) Dwa rozdziały ("Podstawy technik informatycznych" i "Użytkowanie komputerów") w skrypcie Edukacja Komputerowa. Wydawnictwo Wszechnicy Polskiej - Szkoły Wyższej Towarzystwa Wiedzy Powszechnej. Warszawa 2005. ISBN 83-89077-06-X.
  34. Rafał Biedrzycki. Evolutionary algorithm for minimizing the number of edge crosses in the graph. In Proc. of KAEIOG'05, Korbielów, 30 V - 1 VI 2005, ss. 15-22. bibtex
  35. (in Polish) Rafał Biedrzycki. Wykorzystanie narzędzia CASE do modelowania projektu RAD. Mater. IV Kraj. Konfer. MSK'03, Kraków 26-28 listopada 2003, ss. 793-798.
My profiles in scientific databases:
International conferences:
  1. IEEE Congress on Evolutionary Computation 2022. Padua, Italy, 18-23 July 2022.
  2. IEEE Congress on Evolutionary Computation 2021. Kraków, Poland, 28 VI-1 VI 2021.
  3. GECCO 2019. The Genetic and Evolutionary Computation Conference. Prague, Czech Republic, 13-17 VII 2019.
  4. IEEE Congress on Evolutionary Computation 2017. Donostia - San Sebastián, Spain, 5-8 VI 2017.
  5. 13th International Conference on Parallel Problem Solving from Nature. Ljubljana, Slovenia, 13-17 IX 2014.
  6. 14th Conference on Information Fusion (FUSION), Chicago, USA, 5 - 8 July 2011.
  7. XVI International Conference on Systems Science, Wrocław, Poland, September 4-6, 2007.
  8. International Conference on Artificial Intelligence AI-21'2006. Siedlce, Poland, 21-22 IX 2006.
National conferences (Poland)
  1. Metody Heurystyczne i Algorytmy Ewolucyjne (MHAE). Sulejów, 16-18 IX 2015.
  2. XIII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna" (KAEiOG). Warszawa, 21-22 IX 2011.
  3. XII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna" (KAEiOG). Zawoja, 1-3 VI 2009.
  4. X Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna" (KAEiOG). Będlewo, 11-13 VI 2007.
  5. IX Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna" (KAEiOG). Murzasichle, 31 V-2 VI 2006.
  6. VIII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna" (KAEiOG). Korbielów, 30 V-1 VI 2005.
  7. VII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna" (KAEiOG). Kazimierz Dolny, 24-26 V 2004.
  8. IV Krajowa konferencja "Metody i systemy komputerowe w badaniach naukowych i projektowaniu inżynierskim". Kraków, 26-28 XI 2003.
  9. VI Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna" (KAEiOG). Łagów Lubuski, 26-29 V 2003.