Jakub Kudela

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Topics

Optimization Problems

Resource Planning

Evolutionary Computation

Top Venues

GECCO Companion

Publications

Radomil Matousek, Tomas Hulka, René Pierre Lozi, Jakub Kudela
Semi-Stable Periodic Orbits of the Deterministic Chaotic Systems Designed by means of Genetic Programming. CEC (2024)
Roman Parák, Jakub Kudela, Radomil Matousek, Martin Juricek
Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures. Comput. 12 (6) (2024)
Jakub Kudela, Martin Juricek, Roman Parák, Alexandros Tzanetos, Radomil Matousek
Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems. CEC (2024)
Tomás Mauder, Jakub Kudela, Lubomír Klimes, Martin Zálesák, Pavel Charvát
Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study. Eng. Appl. Artif. Intell. 133 (2024)
Linas Stripinis, Jakub Kudela, Remigijus Paulavicius
Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. GECCO Companion (2024)
Tomás Mauder, Jakub Kudela, Lubomír Klimes, Martin Zálesák, Pavel Charvát
Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change. GECCO Companion (2024)
Jakub Kudela, Martin Zálesák, Pavel Charvát, Lubomír Klimes, Tomás Mauder
Assessment of the performance of metaheuristic methods used for the inverse identification of effective heat capacity of phase change materials. Expert Syst. Appl. 238 (Part F) (2024)
Jakub Kudela, Ladislav Dobrovsky
Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems. CoRR (2024)
Jakub Kudela, Ladislav Dobrovsky, Mhd Ali Shehadeh, Tomas Hulka, Radomil Matousek
Comparing Surrogate-Assisted Evolutionary Algorithms on Optimization of a Simulation Model for Resource Planning Task for Hospitals. CEC (2024)
Jakub Kudela, Martin Juricek
Computational and Exploratory Landscape Analysis of the GKLS Generator. GECCO Companion (2023)
Jakub Kudela, Radomil Matousek
Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems. Inf. Sci. 619 (2023)
Martin Juricek, Roman Parák, Jakub Kudela
Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review. Comput. 11 (12) (2023)
Jakub Kudela, Martin Juricek
Computational and Exploratory Landscape Analysis of the GKLS Generator. CoRR (2023)
Jakub Kudela
The Evolutionary Computation Methods No One Should Use. CoRR (2023)
Jakub Kudela
Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed. GECCO Companion (2023)
Jakub Kudela
Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms. Comput. 12 (11) (2023)
Jakub Kudela, Radomil Matousek
Recent advances and applications of surrogate models for finite element method computations: a review. Soft Comput. 26 (24) (2022)
Jakub Kudela, Tomas Holoubek, Tomas Nevoral
Surrogate-Assisted Differential Evolution-Based Method for the ICSI'2022 Competition. ICSI (2) (2022)
Jakub Kudela
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]. Eng. Appl. Artif. Intell. 113 (2022)
Jakub Kudela
A critical problem in benchmarking and analysis of evolutionary computation methods. Nat. Mac. Intell. 4 (12) (2022)
Jakub Kudela, Radomil Matousek
Lipschitz-based Surrogate Model for High-dimensional Computationally Expensive Problems. CoRR (2022)
Jakub Kudela
Are metaheuristics worth it? A computational comparison between nature-inspired and deterministic techniques on black-box optimization problems. CoRR (2022)
Jakub Kudela, Tomas Nevoral, Tomas Holoubek
Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set. ICSI (1) (2022)
Jakub Kudela, Radomil Matousek
New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern. IEEE Access 10 (2022)
Jakub Kudela, Tomas Nevoral, Tomas Holoubek
Composite Evolutionary Strategy and Differential Evolution Method for the ICSI'2022 Competition. ICSI (2) (2022)
Jakub Kudela
Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization. CEC (2021)
Jakub Kudela
Social Distancing as p-Dispersion Problem. IEEE Access 8 (2020)
Dusan Hrabec, Jakub Kudela, Radovan Somplák, Vlastimír Nevrlý, Pavel Popela
Circular economy implementation in waste management network design problem: a case study. Central Eur. J. Oper. Res. 28 (4) (2020)
Jakub Kudela, Pavel Popela
Pool & Discard Algorithm for Chance Constrained Optimization Problems. IEEE Access 8 (2020)
Radomil Matousek, Ladislav Dobrovsky, Jakub Kudela
The quadratic assignment problem: metaheuristic optimization using HC12 algorithm. GECCO (Companion) (2019)
Jakub Kudela, Pavel Popela
Chance constrained optimal beam design: Convex reformulation and probabilistic robust design. Kybernetika 54 (6) (2018)
Jakub Kudela, Irena Holubová, Ondrej Bojar
Extracting Parallel Paragraphs from Common Crawl. CoRR (2018)
Jakub Kudela, Pavel Popela
Warm-start cuts for Generalized Benders Decomposition. Kybernetika 53 (6) (2017)
Pavel Popela, Dusan Hrabec, Jakub Kudela, Radovan Somplák, Martin Pavlas, Jan Roupec, Jan Novotný
Waste Processing Facility Location Problem by Stochastic Programming: Models and Solutions. MENDEL (2017)
Jakub Kudela, Irena Holubová, Ondrej Bojar
Extracting Parallel Paragraphs from Common Crawl. Prague Bull. Math. Linguistics 107 (2017)
Jakub Kudela, Martin Juricek, Roman Parák
A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods. EvoApplications@EvoStar (2013)