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Radomil Matousek
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2020 – today
- 2024
- [j8]Roman Parák
, Jakub Kudela
Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures. Comput. 12(6): 116 (2024) - [c17]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: 1-8 - [c16]Jakub Kudela, Martin Juricek, Roman Parák, Alexandros Tzanetos, Radomil Matousek:
Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems. CEC 2024: 1-8 - [c15]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: 1-7 - 2023
- [j7]Pavel Skrabánek
RGB images-driven recognition of grapevine varieties using a densely connected convolutional network. Log. J. IGPL 31(4): 618-633 (2023) - [j6]Jakub Kudela
Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems. Inf. Sci. 619: 457-477 (2023) - 2022
- [j5]Jakub Kudela
New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern. IEEE Access 10: 8262-8278 (2022) - [j4]Jakub Kudela
Recent advances and applications of surrogate models for finite element method computations: a review. Soft Comput. 26(24): 13709-13733 (2022) - [c14]Radomil Matousek
Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study. CEC 2022: 1-8 - [c13]Tomas Hulka, Radomil Matousek, René Pierre Lozi:
Stabilization of Higher Periodic Orbits of Chaotic maps using Permutation-selective Objective Function. COMPENG 2022: 1-5 - [i1]Jakub Kudela, Radomil Matousek:
Lipschitz-based Surrogate Model for High-dimensional Computationally Expensive Problems. CoRR abs/2204.14236 (2022) - 2021
- [c12]Radomil Matousek, René Pierre Lozi, Tomas Hulka:
Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches. CEC 2021: 572-579 - 2020
- [c11]Pavel Skrabánek
RGB Images Driven Recognition of Grapevine Varieties. SOCO 2020: 216-225
2010 – 2019
- 2019
- [c10]Radomil Matousek
Stabilization of Higher Periodic Orbits of the Chaotic Logistic and Hénon Maps using Meta-evolutionary Approaches. CEC 2019: 1758-1765 - [c9]Radomil Matousek
The quadratic assignment problem: metaheuristic optimization using HC12 algorithm. GECCO (Companion) 2019: 153-154 - 2018
- [j3]Ahmad Abbadi
Hybrid rule-based motion planner for mobile robot in cluttered workspace - A combination of RRT and cell decomposition approaches. Soft Comput. 22(6): 1815-1831 (2018) - 2017
- [j2]Jaroslav Hrdina
Nilpotent approximation of a trident snake robot controlling distribution. Kybernetika 53(6): 1118-1130 (2017) - 2015
- [c8]Ales Návrat
Trident Snake Control Based on Conformal Geometric Algebra. MENDEL 2015: 375-385 - 2013
- [c7]Radomil Matousek
Stabilization of Chaotic Logistic Equation Using HC12 and Grammatical Evolution. NOSTRADAMUS 2013: 137-146 - 2012
- [c6]Stanislav Jancik, Radomil Matousek
Local navigation techniques by means of ICPF. UPINLBS 2012: 1-7 - 2011
- [j1]Radomil Matousek
Promising GAHC and HC12 algorithms in global optimization tasks. Optim. Methods Softw. 26(3): 405-419 (2011) - [c5]Pavel Osmera, Jindrich Petrucha, Milos Seda
Two-Level Transplant Evolution for optimization of controllers. FSKD 2011: 2110-2115 - 2010
- [c4]Radomil Matousek
HC12: Highly Scalable Optimisation Algorithm. NICSO 2010: 177-183
2000 – 2009
- 2008
- [c3]Radomil Matousek
Genetic Algorithm and Advanced Tournament Selection Concept. NICSO 2008: 189-196 - 2007
- [p1]Radomil Matousek
GAHC: Improved Genetic Algorithm. NICSO 2007: 507-520 - 2002
- [c2]Pavel Popela, Jan Roupec
The formal stochastic framework for comparison of genetic algorithms. IEEE Congress on Evolutionary Computation 2002: 576-581 - 2000
- [c1]Radomil Matousek
GA with fuzzy inference system. CEC 2000: 646-651
Coauthor Index
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