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doc. Ing.
Ph.D.
FSI, ÚAI OAI – docent
+420 54114 3358Jakub.Kudela@vutbr.cz
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2026
STRIPINIS, L.; KŮDELA, J.; PAULAVICIUS, R. Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization. IEEE Transactions on Cybernetics, 2026, vol. 56, iss. 3, p. 1202-1215.
Článek WoS
2025
IBEHEJ, D.; KŮDELA, J. An Investigation of Structural Bias in Particle Swarm Optimization. In Lecture Notes in Computer Science. Lecture Notes in Computer Science. Springer Science and Business Media Deutschland GmbH, 2025. p. 129-144. ISBN: 9783031900648.
Stať ve sborníku v databázi WoS či Scopus
HŮLKA, T.; MATOUŠEK, R.; DOBROVSKÝ, L.; KŮDELA, J.; HOJNY, O. Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders. In Lecture Notes in Artificial Intelligence. Lecture Notes in Computer Science. CHAM: Springer Nature, 2025. p. 53-65. ISBN: 978-3-031-84355-6.
STRIPINIS, L.; KŮDELA, J.; PAULAVIČIUS, R. Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets. IEEE transactions on evolutionary computation, 2025, vol. 29, iss. 1, p. 187-204. ISSN: 1089-778X.
NĚMCOVÁ, L.; PLUSKAL, J.; ŠOMPLÁK, R.; KŮDELA, J. Towards efficient waste management: identification of waste flow chains in micro-regional detail through monitored data. Optimization and engineering, 2025, vol. 26, iss. 1, p. 805-826.
SHEHADEH, M.; KŮDELA, J. Benchmarking global optimization techniques for unmanned aerial vehicle path planning. Expert Systems with Applications, 2025, vol. 293, iss. Dec, p. 1-19. ISSN: 0957-4174.
IBEHEJ, D.; KŮDELA, J. Benchmarking Seven Multi-objective Optimization Methods from the PlatEMO Platform on the bbob-biobj Test Suite. In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2025. p. 1883-1890. ISBN: 9798400714641.
IBEHEJ, D.; TZANETOS, A.; JUŘÍČEK, M.; KŮDELA, J. An Investigation of Inherent Structural Bias in Established Benchmark Sets. In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2025. p. 123-126. ISBN: 9798400714641.
2024
MAUDER, T.; KŮDELA, J.; KLIMEŠ, L.; ZÁLEŠÁK, M.; CHARVÁT, P. Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change. In 2024 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2024. p. 47-48. ISBN: 979-8-4007-0495-6.
KŮDELA, J.; DOBROVSKÝ, L. Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems. In 18th International Conference on Parallel Problem Solving from Nature. Springer Science and Business Media Deutschland GmbH, 2024. p. 303-321. ISBN: 978-3-031-70068-2.
KŮDELA, J.; JUŘÍČEK, M.; PARÁK, R.; TZANETOS, A.; MATOUŠEK, R. Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems. In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. p. 1-8. ISBN: 979-8-3503-0836-5.
KŮDELA, J.; SUJA, J.; ŠOMPLÁK, R.; PLUSKAL, J.; HRABEC, D. Optimal control of combined heat and power station operation. Optimization and engineering, 2024, vol. 1, iss. 1, p. 121-145.
TZANETOS, A.; KŮDELA, J. Working on the Structural Components of Evolutionary Approaches. In Proceedings of the 16th International Joint Conference on Computational Intelligence. Science and Technology Publications, Lda, 2024. p. 375-382. ISBN: 978-989-758-721-4.
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, iss. 6, p. 1-17. ISSN: 2079-3197.
MATOUŠEK, R.; HŮLKA, T.; LOZI, R.; KŮDELA, J. Semi-Stable Periodic Orbits of the Deterministic Chaotic Systems Designed by means of Genetic Programming. In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE Xplore. IEEE, 2024. p. 1-7. ISBN: 979-8-3503-0836-5.
PLUSKAL, J.; ZACH, B.; KŮDELA, J.; ŠOMPLÁK, R.; ŠYC, M. Membrane-Based Carbon Capture for Waste-to-Energy: Process Performance, Impact, and Time-Efficient Optimization. Energy, 2024, vol. 310, iss. 1, p. 1-11. ISSN: 0360-5442.
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. Energy Conversion and Management-X, 2024, vol. 24, iss. 1, p. 1-10. ISSN: 2590-1745.
KLIMEŠ, L.; KŮDELA, J.; ZÁLEŠÁK, M.; CHARVÁT, P. A Solution to an Inverse Heat Transfer Problem With Phase Change by Means of Meta-Heuristics and Artificial Neural Networks: A Comparative Study. In PROCEEDINGS OF ASME 2023 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2023, VOL 13. New Orleans, Louisiana, USA: ASME, 2024. p. 1-9. ISBN: 978-0-7918-8770-7.
ZÁLEŠÁK, M.; CHARVÁT, P.; KLIMEŠ, L.; KŮDELA, J.; PECH, O. Inverse identification of thermal behaviour of a paraffin-based phase change material in complete and partial phase change cycles. Thermal Science and Engineering Progress, 2024, vol. 51, iss. 1, p. 1-18. ISSN: 2451-9049.
STRIPINIS, L.; KŮDELA, J.; PAULAVIČIUS, R. Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. In 2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion. Association for Computing Machinery, Inc, 2024. p. 57-58. ISBN: 979-8-4007-0495-6.
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, iss. B, p. 1-17. ISSN: 1873-6769.
KŮDELA, J.; DOBROVSKÝ, L.; SHEHADEH, M.; HŮLKA, T.; MATOUŠEK, R. Comparing Surrogate-Assisted Evolutionary Algorithms on Optimization of a Simulation Model for Resource Planning Task for Hospitals. In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. p. 1-8. ISBN: 979-8-3503-0836-5.
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, iss. 1, p. 1-16. ISSN: 1873-6793.
2023
KŮDELA, J. Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms. Computers, 2023, vol. 12, iss. 11, p. 1-17. ISSN: 2073-431X.
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.ISSN: 1847-7178.
Abstrakt
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, iss. 12, p. 1-23. ISSN: 2079-3197.
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.
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.
KŮDELA, J.; MATOUŠEK, R. Combining Lipschitz and RBF Surrogate Models for High-dimensional Computationally Expensive Problems. INFORMATION SCIENCES, 2023, vol. 619, iss. January, p. 457-477. ISSN: 0020-0255.
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, iss. 1, p. 1-27. ISSN: 0360-5442.
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.
2022
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.ISBN: 978-3-031-09726-3.
Kapitola, resp. kapitoly v odborné knize
KŮDELA, J.; MATOUŠEK, R. New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern. IEEE Access, 2022, vol. 10, iss. 1, p. 8262-8278. ISSN: 2169-3536.
KŮDELA, J. A critical problem in benchmarking and analysis of evolutionary computation methods. Nature Machine Intelligence, 2022, iss. 4, p. 1238-1245. ISSN: 2522-5839.
ŠOMPLÁK, R.; SMEJKALOVÁ, V.; KŮDELA, J. Mixed‑integer quadratic optimization for waste flow quantifcation. Optimization and engineering, 2022, iss. 27.8.2022, p. 1-25. ISSN: 1389-4420.
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, iss. 8, p. 1-13. ISSN: 1996-1073.
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.ISBN: 978-3-031-09726-3.
KŮDELA, J.; MATOUŠEK, R. Recent advances and applications of surrogate models for finite element method computations: a review. SOFT COMPUTING, 2022, vol. 26, iss. 1, p. 13709-13733. ISSN: 1432-7643.
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, iss. 1, p. 1-3. ISSN: 0952-1976.
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.ISBN: 978-3-031-09726-3.
2021
PLUSKAL, J.; ŠOMPLÁK, R.; KŮDELA, J. Novel Approaches for Transport Infrastructure Reduction to Effective Optimisation of Flow Tasks. Chemical Engineering transactions, 2021, vol. 88, iss. 1, p. 463-468. ISSN: 2283-9216.
Článek Scopus
KŮDELA, J. Mixed-integer programming model for ranking universities: Letting universities choose the weights. Mendel Journal series, 2021, vol. 27, iss. 1, p. 41-48. ISSN: 1803-3814.
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.
Odborná kniha
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. iss. 1, p. 90.ISSN: 2653-8911.
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.
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, iss. 2, p. 151-164. ISSN: 1923-2934.
2020
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, iss. 1, p. 1219-1224. ISSN: 2283-9216.
KŮDELA, J. Social Distancing as p-Dispersion Problem. IEEE Access, 2020, vol. 8, iss. 1, p. 149402-149411. ISSN: 2169-3536.
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, iss. Oct 2020, p. 1-14. ISSN: 1364-0321.
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.
KŮDELA, J.; POPELA, P. Pool & Discard Algorithm for Chance Constrained Optimization Problems. IEEE Access, 2020, vol. 8, iss. 1, p. 79397-79407. ISSN: 2169-3536.
2019
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, iss. 2, p. 19-26. ISSN: 1803-3814.
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, iss. 1 September, p. 1294-1304. ISSN: 0959-6526.
KŮDELA, J.; ŠOMPLÁK, R.; NEVRLÝ, V. Strategic Multi-Stage Planning of Waste Processing Infrastructure. Chemical Engineering transactions, 2019, vol. 76, iss. 1, p. 1261-1266. ISSN: 2283-9216.
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, iss. 1, p. 118068.1-118068.12. ISSN: 0959-6526.
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.
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, iss. 1, p. 1-18. ISSN: 1435-246X.
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. iss. 1, p. 167-179. ISBN: 9783319978871. ISSN: 2194-5357.
KŮDELA, J.; ŠOMPLÁK, R.; NEVRLÝ, V.; LIPOVSKÝ, T. Robust Waste Transfer Station Planning by Stochastic Programming. Chemical Engineering transactions, 2018, vol. 70, iss. 1, p. 889-894. ISSN: 2283-9216.
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, iss. 2, p. 17-22. ISSN: 1803-3814.
KŮDELA, J.; POPELA, P. Chance constrained optimal beam design: convex reformulation and probabilistic robust design. KYBERNETIKA, 2018, vol. 54, iss. 6, p. 1201-1217. ISSN: 0023-5954.
2017
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, iss. 61, p. 985-990. ISSN: 2283-9216.
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, iss. 61, p. 1093-1098. ISSN: 2283-9216.
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, iss. 161, p. 1317-1328. ISSN: 0959-6526.
MATOUŠEK, R.; POPELA, P.; KŮDELA, J. HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES. Mendel Journal series, 2017, vol. 23 (2017), iss. 1, p. 73-78. ISSN: 1803-3814.
KŮDELA, J.; POPELA, P. Warm-start Cuts for Generalized Benders Decomposition. KYBERNETIKA, 2017, vol. 53, iss. 6, p. 1012-1025. ISSN: 0023-5954.
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, iss. 1, p. 1087-1092. ISSN: 2283-9216.
2016
KOKRDA, L.; KŮDELA, J.; POPELA, P.; HOŠEK, J.; NAVRÁTILOVÁ, B. RELIABILITY-CONSTRAINED BEAM OPTIMIZATION BY GENETIC ALGORITHM. Mendel Journal series, 2016, vol. 2016, iss. 1, p. 73-78. ISSN: 1803-3814.
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, iss. 1, p. 109-116. ISSN: 1803-3814.
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.
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.
2015
KŮDELA, J.; POPELA, P. Two-stage stochastic facility location problem: GA with benders decomposition. Mendel Journal series, 2015, vol. 2015, iss. 1, p. 53-58. ISSN: 1803-3814.
*) Citace se generují jednou za 24 hodin.