Jakub Kudela

According to our database, Jakub Kudela authored at least 34 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures.

Roman Parák, Jakub Kudela, Radomil Matousek, Martin Juricek

Comput., June, 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., March, 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

Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems.

Jakub Kudela, Ladislav Dobrovsky

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets.

Linas Stripinis, Jakub Kudela, Remigijus Paulavicius

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems.

Jakub Kudela, Martin Juricek, Roman Parák, Alexandros Tzanetos, Radomil Matousek

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review.

Martin Juricek, Roman Parák, Jakub Kudela

Comput., December, 2023

Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms.

Jakub Kudela

Comput., October, 2023

Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems.

Jakub Kudela, Radomil Matousek

Inf. Sci., 2023

The Evolutionary Computation Methods No One Should Use.

Jakub Kudela

CoRR, 2023

Computational and Exploratory Landscape Analysis of the GKLS Generator.

Jakub Kudela, Martin Juricek

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed.

Jakub Kudela

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods.

Jakub Kudela, Martin Juricek, Roman Parák

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

Recent advances and applications of surrogate models for finite element method computations: a review.

Jakub Kudela, Radomil Matousek

Soft Comput., December, 2022

A critical problem in benchmarking and analysis of evolutionary computation methods.

Jakub Kudela

Nat. Mac. Intell., December, 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

Are metaheuristics worth it? A computational comparison between nature-inspired and deterministic techniques on black-box optimization problems.

Jakub Kudela

CoRR, 2022

Lipschitz-based Surrogate Model for High-dimensional Computationally Expensive Problems.

Jakub Kudela, Radomil Matousek

CoRR, 2022

New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern.

Jakub Kudela, Radomil Matousek

IEEE Access, 2022

Composite Evolutionary Strategy and Differential Evolution Method for the ICSI'2022 Competition.

Jakub Kudela, Tomas Nevoral, Tomas Holoubek

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set.

Jakub Kudela, Tomas Nevoral, Tomas Holoubek

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Surrogate-Assisted Differential Evolution-Based Method for the ICSI'2022 Competition.

Jakub Kudela, Tomas Holoubek, Tomas Nevoral

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

2021

Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization.

Jakub Kudela

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

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

Pool & Discard Algorithm for Chance Constrained Optimization Problems.

Jakub Kudela, Pavel Popela

IEEE Access, 2020

Social Distancing as p-Dispersion Problem.

Jakub Kudela

IEEE Access, 2020

2019

The quadratic assignment problem: metaheuristic optimization using HC12 algorithm.

Radomil Matousek, Ladislav Dobrovsky, Jakub Kudela

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Chance constrained optimal beam design: Convex reformulation and probabilistic robust design.

Jakub Kudela, Pavel Popela

Kybernetika, 2018

2017

Extracting Parallel Paragraphs from Common Crawl.

Jakub Kudela, Irena Holubová, Ondrej Bojar

Prague Bull. Math. Linguistics, 2017

Warm-start cuts for Generalized Benders Decomposition.

Jakub Kudela, Pavel Popela

Kybernetika, 2017

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

Proceedings of the Recent Advances in Soft Computing, 2017