Waste Processing Facility Location Problem by Stochastic Programming: Models and Solutions. - Pavel Popela; Dusan Hrabec; Jakub Kudela; Radovan Somplák; Martin Pavlas; Jan Roupec; Jan Novotný (MENDEL, 2017)

Warm-start cuts for Generalized Benders Decomposition. - Jakub Kudela; Pavel Popela (Kybernetika, 2017)

Extracting Parallel Paragraphs from Common Crawl. - Jakub Kudela; Irena Holubová; Ondrej Bojar (Prague Bull. Math. Linguistics, 2017)

Chance constrained optimal beam design: Convex reformulation and probabilistic robust design. - Jakub Kudela; Pavel Popela (Kybernetika, 2018)

The quadratic assignment problem: metaheuristic optimization using HC12 algorithm. - Radomil Matousek; Ladislav Dobrovsky; Jakub Kudela (GECCO (Companion), 2019)

Social Distancing as p-Dispersion Problem. - Jakub Kudela (IEEE Access, 2020)

Pool & Discard Algorithm for Chance Constrained Optimization Problems. - Jakub Kudela; Pavel Popela (IEEE Access, 2020)

Circular economy implementation in waste management network design problem: a case study. - Dusan Hrabec; Jakub Kudela; Radovan Somplák; Vlastimír Nevrlý; Pavel Popela (Central Eur. J. Oper. Res., 2020)

Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization. - Jakub Kudela (CEC, 2021)

Surrogate-Assisted Differential Evolution-Based Method for the ICSI'2022 Competition. - Jakub Kudela; Tomas Holoubek; Tomas Nevoral (ICSI (2), 2022)

Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set. - Jakub Kudela; Tomas Nevoral; Tomas Holoubek (ICSI (1), 2022)

Composite Evolutionary Strategy and Differential Evolution Method for the ICSI'2022 Competition. - Jakub Kudela; Tomas Nevoral; Tomas Holoubek (ICSI (2), 2022)

New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern. - Jakub Kudela; Radomil Matousek (IEEE Access, 2022)

Lipschitz-based Surrogate Model for High-dimensional Computationally Expensive Problems. - Jakub Kudela; Radomil Matousek (CoRR, 2022)

Are metaheuristics worth it? A computational comparison between nature-inspired and deterministic techniques on black-box optimization problems. - Jakub Kudela (CoRR, 2022)

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]. - Jakub Kudela (Eng. Appl. Artif. Intell., 2022)

A critical problem in benchmarking and analysis of evolutionary computation methods. - Jakub Kudela (Nat. Mac. Intell., 2022)

Recent advances and applications of surrogate models for finite element method computations: a review. - Jakub Kudela; Radomil Matousek (Soft Comput., 2022)

A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods. - Jakub Kudela; Martin Jurícek; Roman Parák (EvoApplications@EvoStar, 2023)

Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed. - Jakub Kudela (GECCO Companion, 2023)

Computational and Exploratory Landscape Analysis of the GKLS Generator. - Jakub Kudela; Martin Jurícek (GECCO Companion, 2023)

The Evolutionary Computation Methods No One Should Use. - Jakub Kudela (CoRR, 2023)

Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems. - Jakub Kudela; Radomil Matousek (Inf. Sci., 2023)

Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms. - Jakub Kudela (Comput., 2023)

Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review. - Martin Jurícek; Roman Parák; Jakub Kudela (Comput., 2023)

Comparing Surrogate-Assisted Evolutionary Algorithms on Optimization of a Simulation Model for Resource Planning Task for Hospitals. - Jakub Kudela; Ladislav Dobrovsky; Mhd Ali Shehadeh; Tomas Hulka; Radomil Matousek (CEC, 2024)

Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems. - Jakub Kudela; Martin Jurícek; Roman Parák; Alexandros Tzanetos; Radomil Matousek (CEC, 2024)

Semi-Stable Periodic Orbits of the Deterministic Chaotic Systems Designed by means of Genetic Programming. - Radomil Matousek; Tomas Hulka; René Pierre Lozi; Jakub Kudela (CEC, 2024)

Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change. - Tomás Mauder; Jakub Kudela; Lubomír Klimes; Martin Zálesák; Pavel Charvát (GECCO Companion, 2024)

Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. - Linas Stripinis; Jakub Kudela; Remigijus Paulavicius (GECCO Companion, 2024)

Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders. - Tomas Hulka; Radomil Matousek; Ladislav Dobrovsky; Jakub Kudela; Ondrej Hojny (ICAISC (2), 2024)

Working on the Structural Components of Evolutionary Approaches. - Alexandros Tzanetos; Jakub Kudela (IJCCI, 2024)

Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems. - Jakub Kudela; Ladislav Dobrovsky (PPSN (2), 2024)

Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study. - Tomás Mauder; Jakub Kudela; Lubomír Klimes; Martin Zálesák; Pavel Charvát (Eng. Appl. Artif. Intell., 2024)

Assessment of the performance of metaheuristic methods used for the inverse identification of effective heat capacity of phase change materials. - Jakub Kudela; Martin Zálesák; Pavel Charvát; Lubomír Klimes; Tomás Mauder (Expert Syst. Appl., 2024)

Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures. - Roman Parák; Jakub Kudela; Radomil Matousek; Martin Jurícek (Comput., 2024)

An Investigation of Structural Bias in Particle Swarm Optimization. - David Ibehej; Jakub Kudela (EvoApplications (2), 2025)

Benchmarking global optimization techniques for unmanned aerial vehicle path planning. - Mhd Ali Shehadeh; Jakub Kudela (Expert Syst. Appl., 2025)

Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets. - Linas Stripinis; Jakub Kudela; Remigijus Paulavicius (IEEE Trans. Evol. Comput., 2025)