Publications list:
  1. 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
  2. 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.
  3. 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.
  4. 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.
  5. 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
  6. 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
  7. 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.
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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).
  14. 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
  15. 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.
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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.
  21. 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
  22. 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
  23. 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
  24. Współautor 11 raportów technicznych na temat fuzji danych. V-XII 2011.
  25. 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
  26. Rafał Biedrzycki, Robert Nowak. Internet application architecture for data fusion. Technical report, Institute of Electronic Systems Warsaw University of Technology, 2010. bibtex
  27. Rafał Biedrzycki. Konstruktywna indukcja w zadaniu klasyfikacji sekwencji DNA. Rozprawa doktorska, Politechnika Warszawska, Warszawa, 2009. bibtex.
  28. 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
  29. Rafał Biedrzycki. DNA sequence analysis. Prace Naukowe Politechniki Warszawskiej, seria Elektronika, zeszyt 160, strony 35-42. Warszawa 2007. bibtex.
  30. 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.
  31. 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.
  32. Dwa rozdziały w skrypcie Edukacja Komputerowa. Wydawnictwo Wszechnicy Polskiej - Szkoły Wyższej Towarzystwa Wiedzy Powszechnej. Warszawa 2005. ISBN 83-89077-06-X. errata do moich rozdziałów.
  33. 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
  34. Rafał Biedrzycki. Wykorzystanie narzędzia CASE do modelowania projektu RAD. Mater. IV Kraj. Konfer. MSK'03, Kraków 26-28 listopada 2003, ss. 793-798.
Conferences:
  1. IEEE Congress on Evolutionary Computation 2022. Padua, Italy, 18-23 July 2022.
  2. IEEE Congress on Evolutionary Computation 2021. Kraków, Poland (virtual), 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. Konferencja "Metody Heurystyczne i Algorytmy Ewolucyjne" (MHAE). Sulejów, 16-18 IX 2015.
  6. 13th International Conference on Parallel Problem Solving from Nature. Ljubljana, Slovenia, 13-17 IX 2014.
  7. XIII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna". Warszawa, 21-22 IX 2011.
  8. 14th Conference on Information Fusion (FUSION), Chicago, USA, 5 - 8 July 2011.
  9. III Forum Gospodarcze TIME. OSSA, 11 V 2011.
  10. XII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna". Zawoja, 1-3 VI 2009.
  11. XVI International Conference on Systems Science, Wrocław, Poland, September 4-6, 2007.
  12. X Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna". Będlewo, 11-13 VI 2007.
  13. International Conference on Artificial Intelligence AI-21'2006. Siedlce, 21-22 IX 2006.
  14. IX Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna". Murzasichle, 31 V-2 VI 2006.
  15. VIII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna". Korbielów, 30 V-1 VI 2005.
  16. VII Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna". Kazimierz Dolny, 24-26 V 2004.
  17. IV krajowa konferencja "Metody i systemy komputerowe w badaniach naukowych i projektowaniu inżynierskim". Kraków, 26-28 XI 2003.
  18. VI Krajowa Konferencja "Algorytmy Ewolucyjne i Optymalizacja Globalna". Łagów Lubuski, 26-29 V 2003.
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