Jakub Kudela - RankMe

49 papers B 4C 1Journal 29Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Structural bias in multi-objective optimisation. CoRR Jakub Kudela, Niki van Stein, Thomas Bäck, Anna V. Kononova
2026	J	`jnl`	Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization. IEEE Trans. Cybern. Linas Stripinis, Jakub Kudela, Remigijus Paulavicius
2025	—	`conf`	An Investigation of Inherent Structural Bias in Established Benchmark Sets. GECCO Companion David Ibehej, Alexandros Tzanetos, Martin Jurícek, Jakub Kudela
2025	—	`conf`	An Investigation of Structural Bias in Particle Swarm Optimization. EvoApplications (2) David Ibehej, Jakub Kudela
2025	J	`jnl`	Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets. IEEE Trans. Evol. Comput. Linas Stripinis, Jakub Kudela, Remigijus Paulavicius
2025	—	`conf`	Benchmarking Seven Multi-objective Optimization Methods from the PlatEMO Platform on the bbob-biobj Test Suite. GECCO Companion David Ibehej, Jakub Kudela
2025	J	`jnl`	Benchmarking global optimization techniques for unmanned aerial vehicle path planning. CoRR Mhd Ali Shehadeh, Jakub Kudela
2025	J	`jnl`	Benchmarking global optimization techniques for unmanned aerial vehicle path planning. Expert Syst. Appl. Mhd Ali Shehadeh, Jakub Kudela
2025	J	`jnl`	Benchmarking metaheuristic algorithms for the bi-objective redundancy allocation problem in repairable systems with multiple strategies. CoRR Mateusz Oszczypala, David Ibehej, Jakub Kudela
2025	J	`jnl`	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact. CoRR Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2024	J	`jnl`	Assessment of the performance of metaheuristic methods used for the inverse identification of effective heat capacity of phase change materials. Expert Syst. Appl. Jakub Kudela, Martin Zálesák, Pavel Charvát, Lubomír Klimes, Tomás Mauder
2024	B	`conf`	Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems. CEC Jakub Kudela, Martin Jurícek, Roman Parák, Alexandros Tzanetos, Radomil Matousek
2024	—	`conf`	Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders. ICAISC (2) Tomas Hulka, Radomil Matousek, Ladislav Dobrovsky, Jakub Kudela, Ondrej Hojny
2024	B	`conf`	Comparing Surrogate-Assisted Evolutionary Algorithms on Optimization of a Simulation Model for Resource Planning Task for Hospitals. CEC Jakub Kudela, Ladislav Dobrovsky, Mhd Ali Shehadeh, Tomas Hulka, Radomil Matousek
2024	J	`jnl`	Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures. Comput. Roman Parák, Jakub Kudela, Radomil Matousek, Martin Jurícek
2024	—	`conf`	Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. GECCO Companion Linas Stripinis, Jakub Kudela, Remigijus Paulavicius
2024	—	`conf`	Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change. GECCO Companion Tomás Mauder, Jakub Kudela, Lubomír Klimes, Martin Zálesák, Pavel Charvát
2024	—	`conf`	Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems. PPSN (2) Jakub Kudela, Ladislav Dobrovsky
2024	J	`jnl`	Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems. CoRR Jakub Kudela, Ladislav Dobrovsky
2024	B	`conf`	Semi-Stable Periodic Orbits of the Deterministic Chaotic Systems Designed by means of Genetic Programming. CEC Radomil Matousek, Tomas Hulka, René Pierre Lozi, Jakub Kudela
2024	J	`jnl`	Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study. Eng. Appl. Artif. Intell. Tomás Mauder, Jakub Kudela, Lubomír Klimes, Martin Zálesák, Pavel Charvát
2024	C	`conf`	Working on the Structural Components of Evolutionary Approaches. IJCCI Alexandros Tzanetos, Jakub Kudela
2023	—	`conf`	A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods. EvoApplications@EvoStar Jakub Kudela, Martin Jurícek, Roman Parák
2023	—	`conf`	Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed. GECCO Companion Jakub Kudela
2023	J	`jnl`	Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms. Comput. Jakub Kudela
2023	J	`jnl`	Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems. Inf. Sci. Jakub Kudela, Radomil Matousek
2023	—	`conf`	Computational and Exploratory Landscape Analysis of the GKLS Generator. GECCO Companion Jakub Kudela, Martin Jurícek
2023	J	`jnl`	Computational and Exploratory Landscape Analysis of the GKLS Generator. CoRR Jakub Kudela, Martin Jurícek
2023	J	`jnl`	Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review. Comput. Martin Jurícek, Roman Parák, Jakub Kudela
2023	J	`jnl`	The Evolutionary Computation Methods No One Should Use. CoRR Jakub Kudela
2022	J	`jnl`	A critical problem in benchmarking and analysis of evolutionary computation methods. Nat. Mac. Intell. Jakub Kudela
2022	J	`jnl`	Are metaheuristics worth it? A computational comparison between nature-inspired and deterministic techniques on black-box optimization problems. CoRR Jakub Kudela
2022	J	`jnl`	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. Jakub Kudela
2022	—	`conf`	Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set. ICSI (1) Jakub Kudela, Tomas Nevoral, Tomas Holoubek
2022	—	`conf`	Composite Evolutionary Strategy and Differential Evolution Method for the ICSI'2022 Competition. ICSI (2) Jakub Kudela, Tomas Nevoral, Tomas Holoubek
2022	J	`jnl`	Lipschitz-based Surrogate Model for High-dimensional Computationally Expensive Problems. CoRR Jakub Kudela, Radomil Matousek
2022	J	`jnl`	New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern. IEEE Access Jakub Kudela, Radomil Matousek
2022	J	`jnl`	Recent advances and applications of surrogate models for finite element method computations: a review. Soft Comput. Jakub Kudela, Radomil Matousek
2022	—	`conf`	Surrogate-Assisted Differential Evolution-Based Method for the ICSI'2022 Competition. ICSI (2) Jakub Kudela, Tomas Holoubek, Tomas Nevoral
2021	B	`conf`	Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization. CEC Jakub Kudela
2020	J	`jnl`	Circular economy implementation in waste management network design problem: a case study. Central Eur. J. Oper. Res. Dusan Hrabec, Jakub Kudela, Radovan Somplák, Vlastimír Nevrlý, Pavel Popela
2020	J	`jnl`	Pool & Discard Algorithm for Chance Constrained Optimization Problems. IEEE Access Jakub Kudela, Pavel Popela
2020	J	`jnl`	Social Distancing as p-Dispersion Problem. IEEE Access Jakub Kudela
2019	—	`conf`	The quadratic assignment problem: metaheuristic optimization using HC12 algorithm. GECCO (Companion) Radomil Matousek, Ladislav Dobrovsky, Jakub Kudela
2018	J	`jnl`	Chance constrained optimal beam design: Convex reformulation and probabilistic robust design. Kybernetika Jakub Kudela, Pavel Popela
2018	J	`jnl`	Extracting Parallel Paragraphs from Common Crawl. CoRR Jakub Kudela, Irena Holubová, Ondrej Bojar
2017	J	`jnl`	Extracting Parallel Paragraphs from Common Crawl. Prague Bull. Math. Linguistics Jakub Kudela, Irena Holubová, Ondrej Bojar
2017	J	`jnl`	Warm-start cuts for Generalized Benders Decomposition. Kybernetika Jakub Kudela, Pavel Popela
2017	—	`conf`	Waste Processing Facility Location Problem by Stochastic Programming: Models and Solutions. MENDEL Pavel Popela, Dusan Hrabec, Jakub Kudela, Radovan Somplák, Martin Pavlas, Jan Roupec, Jan Novotný