Publications

• 2024

  MAUDER, T.; KŮDELA, J.; KLIMEŠ, L.; ZÁLEŠÁK, M.; CHARVÁT, P. Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, vol. 133, no. B, p. 108229 ( p.)ISSN: 1873-6769.
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  KŮDELA, J.; ZÁLEŠÁK, M.; CHARVÁT, P.; KLIMEŠ, L.; MAUDER, T. Assessment of the performance of metaheuristic methods used for the inverse identification of effective heat capacity of phase change materials. EXPERT SYSTEMS WITH APPLICATIONS, 2024, vol. 238, no. 1, p. 122373 ( p.)ISSN: 1873-6793.
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  PARÁK, R.; KŮDELA, J.; MATOUŠEK, R.; JUŘÍČEK, M. Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures. Computation, 2024, vol. 12, no. 6, p. 116 ( p.)ISSN: 2079-3197.
  Detail | WWW | Full text in the Digital Library

• 2023

  JUŘÍČEK, M.; PARÁK, R.; KŮDELA, J. Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review. Computation, 2023, vol. 11, no. 12, p. 1-23. ISSN: 2079-3197.
  Detail | WWW | Full text in the Digital Library

  KŮDELA, J.; JUŘÍČEK, M.; PARÁK, R. A collection of robotics problems for benchmarking evolutionary computation methods. In 26th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023. Lecture Notes in Computer Science. Cham: Springer, 2023. p. 364-379. ISBN: 978-3-031-30229-9. ISSN: 0302-9743.
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  KŮDELA, J. Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms. Computers, 2023, vol. 12, no. 11, ISSN: 2073-431X.
  Detail | WWW | Full text in the Digital Library

  KŮDELA, J.; SUJA, J.; ŠOMPLÁK, R.; PLUSKAL, J.; HRABEC, D. Optimal control of combined heat and power station operation. OPTIMIZATION AND ENGINEERING, 2023, vol. 1, no. 1, p. 1-25. ISSN: 1389-4420.
  Detail | WWW | Full text in the Digital Library

  ZÁLEŠÁK, M.; KLIMEŠ, L.; CHARVÁT, P.; CABALKA, M.; KŮDELA, J.; MAUDER, T. Solution approaches to inverse heat transfer problems with and without phase changes: A state-of-the-art review. Energy, 2023, vol. 278, no. 1, p. 127974 ( p.)ISSN: 0360-5442.
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  PLUSKAL, J.; ŠOMPLÁK, R.; KŮDELA, J.; ERYGANOV, I. Dynamic Reduction of Network Flow Optimization Problem: Case of Waste-to-Energy Infrastructure Planning in Czech Republic. Proceedings of SDEWES Conference on Sustainable Development of Energy, Water and Environment Systems. 2023. p. 465-465. ISSN: 1847-7178.
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  KŮDELA, J.; JUŘÍČEK, M. Computational and Exploratory Landscape Analysis of the GKLS Generator. In GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation. New York, NY, United States: Association for Computing Machinery, 2023. p. 443-446. ISBN: 979-8-4007-0120-7.
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  KŮDELA, J. Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed. In GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation. New York, NY, United States: Association for Computing Machinery, 2023. p. 1620-1627. ISBN: 979-8-4007-0120-7.
  Detail | WWW | Full text in the Digital Library

• 2022

  ŠOMPLÁK, R.; SMEJKALOVÁ, V.; KŮDELA, J. Mixed‑integer quadratic optimization for waste flow quantifcation. OPTIMIZATION AND ENGINEERING, 2022, no. 27.8.2022, p. 1-25. ISSN: 1389-4420.
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  PUTNA, O.; KŮDELA, J.; KRŇÁVEK, M.; PAVLAS, M.; ONDRA, K. Modelling of Change in Fuel Mix within a District Heating Network. ENERGIES, 2022, vol. 15, no. 8, p. 1-13. ISSN: 1996-1073.
  Detail | WWW | Full text in the Digital Library

  KŮDELA, J. Commentary on: “STOA: A bio-inspired based optimization algorithm for industrial engineering problems” [EAAI, 82 (2019), 148–174] and “Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization” [EAAI, 90 (2020), no. 103541]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, vol. 113, no. 1, p. 1-3. ISSN: 0952-1976.
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  KŮDELA, J.; MATOUŠEK, R. New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern. IEEE Access, 2022, vol. 10, no. 1, p. 8262-8278. ISSN: 2169-3536.
  Detail | WWW | Full text in the Digital Library

  KŮDELA, J. A critical problem in benchmarking and analysis of evolutionary computation methods. Nature Machine Intelligence, 2022, no. 4, p. 1238-1245. ISSN: 2522-5839.
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  KŮDELA, J.; MATOUŠEK, R. Combining Lipschitz and RBF Surrogate Models for High-dimensional Computationally Expensive Problems. INFORMATION SCIENCES, 2022, vol. 619, no. January, p. 457-477. ISSN: 0020-0255.
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  KŮDELA, J.; MATOUŠEK, R. Recent advances and applications of surrogate models for finite element method computations: a review. SOFT COMPUTING, 2022, vol. 26, no. 1, p. 13709-13733. ISSN: 1432-7643.
  Detail | WWW | Full text in the Digital Library

  KŮDELA, J.; NEVORAL, T.; HOLOUBEK, T. Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set. In Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13344. Springer, Cham, 2022. p. 367-379. ISBN: 978-3-031-09726-3.
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  KŮDELA, J.; NEVORAL, T.; HOLOUBEK, T. Composite Evolutionary Strategy and Differential Evolution Method for the ICSI’2022 Competition. In Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13345. Springer, Cham, 2022. p. 432-439. ISBN: 978-3-031-09726-3.
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  KŮDELA, J.; HOLOUBEK, T.; NEVORAL, T. Surrogate-Assisted Differential Evolution-Based Method for the ICSI’2022 Competition. In Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13345. Springer, Cham, 2022. p. 440-449. ISBN: 978-3-031-09726-3.
  Detail | WWW

• 2021

  KŮDELA, J. Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization. In 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021. p. 857-862. ISBN: 978-1-7281-8393-0.
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  ŠOMPLÁK, R.; SMEJKALOVÁ, V.; ROSECKÝ, M.; POPELA, P.; KŮDELA, J.; ERYGANOV, I.; ŠRAMKOVÁ, K.; PLUSKAL, J.; PAVLAS, M. Souhrnná komplexní výzkumná zpráva popisující nastavení a řešení zpracování dlouhodobé prognózy produkce odpadů v ČR (Výsledek V8). 2021. p. 1-68.
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  MATOUŠEK, R.; DOBROVSKÝ, L.; KŮDELA, J. How to start a heuristic? Utilizing lower bounds for solving the quadratic assignment problem. International Journal of Industrial Engineering Computations, 2021, vol. 13, no. 2, p. 151-164. ISSN: 1923-2934.
  Detail | WWW | Full text in the Digital Library

  PLUSKAL, J.; ŠOMPLÁK, R.; KŮDELA, J. Design of Transport Infrastructure with Respect to the Specific Features of Case Study. Book of Abstracts of the Energy, Sustainability and Climate Change Conference. 2021. p. 90-90. ISSN: 2653-8911.
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  KŮDELA, J. Mixed-integer programming model for ranking universities: Letting universities choose the weights. Mendel Journal series, 2021, vol. 27, no. 1, p. 41-48. ISSN: 1803-3814.
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  MATOUŠEK, R.; KŮDELA, J. Studies in Fuzziness and Soft Computing (Recent Advances in Soft Computing and Cybernetics). Switzerland: Springer International Publishing, 2021. 320 p. ISBN: 978-3-030-61658-8.
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  PLUSKAL, J.; ŠOMPLÁK, R.; KŮDELA, J. Novel Approaches for Transport Infrastructure Reduction to Effective Optimisation of Flow Tasks. Chemical Engineering Transactions, 2021, vol. 88, no. 1, p. 463-468. ISSN: 2283-9216.
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• 2020

  MATOUŠEK, R.; HŮLKA, T.; DOBROVSKÝ, L.; KŮDELA, J. Sum Epsilon-Tube Error Fitness Function Design for GP Symbolic Regression: Preliminary Study. In 2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). IEEE, 2020. p. 78-83. ISBN: 978-1-7281-3572-4.
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  KŮDELA, J. Social Distancing as p-Dispersion Problem. IEEE Access, 2020, vol. 8, no. 1, p. 149402-149411. ISSN: 2169-3536.
  Detail | WWW | Full text in the Digital Library

  KŮDELA, J.; SMEJKALOVÁ, V.; ŠOMPLÁK, R.; NEVRLÝ, V. Legislation-induced planning of waste processing infrastructure: A case study of the Czech Republic. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, vol. 132, no. Oct 2020, p. 1-14. ISSN: 1364-0321.
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  KŮDELA, J.; POPELA, P. Pool & Discard Algorithm for Chance Constrained Optimization Problems. IEEE Access, 2020, vol. 8, no. 1, p. 79397-79407. ISSN: 2169-3536.
  Detail | WWW | Full text in the Digital Library

  KŮDELA, J.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; NEVRLÝ, V.; JIRÁSEK, P. The Potential for Future Material Recovery of Municipal Solid Waste: Inputs for Sustainable Infrastructure Planning. Chemical Engineering Transactions, 2020, vol. 81, no. 1, p. 1219-1224. ISSN: 2283-9216.
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  ŠOMPLÁK, R.; SMEJKALOVÁ, V.; ROSECKÝ, M.; POPELA, P.; KŮDELA, J.; ERYGANOV, I.; ŠRAMKOVÁ, K.; PAVLAS, M. Výzkumná zpráva popisující princip a matematický model prognózování produkce odpadů (Výsledek V7). 2020. p. 1-77.
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• 2019

  PAVLAS, M.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; ROSECKÝ, M.; KŮDELA, J.; POPELA, P. Výzkumná zpráva popisující přístup k řešení prognózování produkce odpadů v mezinárodním měřítku (Výsledek V5). 2019.
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  KŮDELA, J.; ŠOMPLÁK, R.; NEVRLÝ, V.; LIPOVSKÝ, T.; SMEJKALOVÁ, V.; DOBROVSKÝ, L. Multi-objective strategic waste transfer station planning. Journal of Cleaner Production, 2019, vol. 230, no. 1 September, p. 1294-1304. ISSN: 0959-6526.
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  PAVLAS, M.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; ROSECKÝ, M.; BOUDA, Z.; SUZOVÁ, J.; ROUPEC, J.; SZÁSZIOVÁ, L.; POPELA, P.; KŮDELA, J. Výzkumná zpráva popisující výběr vhodných metod datové analýzy a matematického modelování prognózy produkce odpadů (Výsledek V6). 2019.
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  MATOUŠEK, R.; DOBROVSKÝ, L.; KŮDELA, J. The quadratic assignment problem: metaheuristic optimization using HC12 algorithm. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: ACM, 2019. p. 153-154. ISBN: 978-1-4503-6748-6.
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  KŮDELA, J.; ŠOMPLÁK, R.; NEVRLÝ, V. Strategic Multi-Stage Planning of Waste Processing Infrastructure. Chemical Engineering Transactions, 2019, vol. 76, no. 1, p. 1261-1266. ISSN: 2283-9216.
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  KŮDELA, J. Minimum-Volume Covering Ellipsoids: Improving the Efficiency of the Wolfe-Atwood Algorithm for Large-Scale Instances by Pooling and Batching. Mendel Journal series, 2019, vol. 25, no. 2, p. 19-26. ISSN: 1803-3814.
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  HRABEC, D.; KŮDELA, J.; ŠOMPLÁK, R.; NEVRLÝ, V.; POPELA, P. Circular economy implementation in waste management network design problem: a case study. Central European Journal of Operations Research, 2019, vol. 1, no. 1, p. 1-18. ISSN: 1435-246X.
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  ŠOMPLÁK, R.; KŮDELA, J.; SMEJKALOVÁ, V.; NEVRLÝ, V.; HRABEC, D.; PAVLAS, M. Pricing and Advertising Strategies in Conceptual Waste Management Planning. Journal of Cleaner Production, 2019, vol. 239, no. 1, p. 118068.1-118068.12. ISSN: 0959-6526.
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• 2018

  POPELA, P.; HRABEC, D.; KŮDELA, J.; ŠOMPLÁK, R.; PAVLAS, M.; ROUPEC, J.; NOVOTNÝ, J. Waste processing facility location problem by stochastic programming: Models and solutions. In Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing. Switzerland: Springer Nature, 2018. p. 167-179. ISBN: 9783319978871. ISSN: 2194-5357.
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  KŮDELA, J.; ŠOMPLÁK, R.; NEVRLÝ, V.; LIPOVSKÝ, T. Robust Waste Transfer Station Planning by Stochastic Programming. Chemical Engineering Transactions, 2018, vol. 70, no. 1, p. 889-894. ISSN: 2283-9216.
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  MÁLEK, M.; ŠOMPLÁK, R.; POPELA, P.; KŮDELA, J. Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm. Mendel Journal series, 2018, vol. 24, no. 2, p. 17-22. ISSN: 1803-3814.
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  KŮDELA, J.; POPELA, P. Chance constrained optimal beam design: convex reformulation and probabilistic robust design. Kybernetika, 2018, vol. 54, no. 6, p. 1201-1217. ISSN: 0023-5954.
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• 2017

  KŮDELA, J.; POPELA, P. Warm-start Cuts for Generalized Benders Decomposition. Kybernetika, 2017, vol. 53, no. 6, p. 1012-1025. ISSN: 0023-5954.
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  ŠOMPLÁK, R.; NEVRLÝ, V.; SMEJKALOVÁ, V.; PAVLAS, M.; KŮDELA, J. Verification of Information in Large Databases by Mathematical Programming in Waste Management. CHEMICAL ENGINEERING TRANSACTIONS, 2017, vol. 2017, no. 61, p. 985-990. ISSN: 2283-9216.
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  PAVLAS, M.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; NEVRLÝ, V.; SZÁSZIOVÁ, L.; KŮDELA, J.; POPELA, P. Spatially distributed production data for supply chain models - Forecasting with hazardous waste. Journal of Cleaner Production, 2017, no. 161, p. 1317-1328. ISSN: 0959-6526.
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  KŮDELA, J.; POPELA, P.; ŠOMPLÁK, R.; MÁLEK, M.; RYCHTÁŘ, A.; HRABEC, D. The L-shaped Method for Large-scale Mixed-integer Waste Management Decision Making Problems. CHEMICAL ENGINEERING TRANSACTIONS, 2017, vol. 61, no. 1, p. 1087-1092. ISSN: 2283-9216.
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  MATOUŠEK, R.; POPELA, P.; KŮDELA, J. HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES. Mendel Journal series, 2017, vol. 23 (2017), no. 1, p. 73-78. ISSN: 1803-3814.
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  HRABEC, D.; ŠOMPLÁK, R.; NEVRLÝ, V.; JANOŠŤÁK, F.; ROSECKÝ, M.; KŮDELA, J. Robust Facility Location Problem for Bio-waste Transportation. CHEMICAL ENGINEERING TRANSACTIONS, 2017, vol. 2017, no. 61, p. 1093-1098. ISSN: 2283-9216.
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• 2016

  KOKRDA, L.; KŮDELA, J.; POPELA, P.; HOŠEK, J.; NAVRÁTILOVÁ, B. RELIABILITY- CONSTRAINED BEAM OPTIMIZATION BY GENETIC ALGORITHM. Mendel Journal series, 2016, vol. 2016, no. 1, p. 73-78. ISSN: 1803-3814.
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  POPELA, P.; MATOUŠEK, R.; KŮDELA, J. Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases. In Proceedings of 22nd International Conference on Soft Computing MENDEL 2016. Mendel Journal series. Brno, Czech Republic: Brno University of Technology, 2016. p. 117-122. ISBN: 978-80-214-5365- 4. ISSN: 1803-3814.
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  HOLEŠOVSKÝ, J.; KŮDELA, J. Outlier identification based on local extreme quantile estimation. In Proceedings of 22nd International Conference on Soft Computing MENDEL 2016. Mendel Journal series. Brno, Czech Republic: Brno University of Technology, 2016. p. 255-260. ISBN: 978-80-214-5365-4. ISSN: 1803-3814.
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  NEVRLÝ, V.; ŠOMPLÁK, R.; POPELA, P.; PAVLAS, M.; OSIČKA, O.; KŮDELA, J. Heuristic challenges for spatially distributed waste production identification problems. Mendel Journal series, 2016, vol. 2016, no. 1, p. 109-116. ISSN: 1803-3814.
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• 2015

  KŮDELA, J.; POPELA, P. Two-stage stochastic facility location problem: GA with benders decomposition. Mendel Journal series, 2015, vol. 2015, no. 1, p. 53-58. ISSN: 1803-3814.
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