Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Radomil Matoušek"'
Publikováno v:
Computation, Vol 12, Iss 6, p 116 (2024)
The use of robot manipulators in engineering applications and scientific research has significantly increased in recent years. This can be attributed to the rise of technologies such as autonomous robotics and physics-based simulation, along with the
Externí odkaz:
https://doaj.org/article/f43d29d7157e4598a1fdfa287ec029e7
Publikováno v:
Mendel, Vol 26, Iss 1 (2020)
This work investigates the locomotion efficiency of snake-like robots through evolutionary optimization using the simulation framework PhysX (NVIDIA). The Genetic Algorithm (GA) is used to find the optimal forward head serpentine gait parameters, and
Externí odkaz:
https://doaj.org/article/c5819d0721fa4cedb8044ff8c20f237b
Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems
Autor:
Jakub Kůdela, Radomil Matoušek
Publikováno v:
Information Sciences. 619:457-477
Standard evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward and computationally cheap. However, in many real-world optimization problems, these evaluations involve computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2a592c4bd0a94f94f868253e10a4ed
https://doi.org/10.1016/j.ins.2022.11.045
https://doi.org/10.1016/j.ins.2022.11.045
RGB images-driven recognition of grapevine varieties using a densely connected convolutional network
Publikováno v:
Logic Journal of the IGPL.
We present a pocket-size densely connected convolutional network (DenseNet) directed to classification of size-normalized colour images according to varieties of grapes captured in those images. We compare the DenseNet with three established small-si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9fbfb17114bc76996c59b7b6213e674
https://doi.org/10.1093/jigpal/jzac029
https://doi.org/10.1093/jigpal/jzac029
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 13, Iss 2, Pp 151-164 (2022)
The Quadratic Assignment Problem (QAP) is one of the classical combinatorial optimization problems and is known for its diverse applications. The QAP is an NP-hard optimization problem which attracts the use of heuristic or metaheuristic algorithms t
Externí odkaz:
https://doaj.org/article/25eda26523024a1dbc1c9df36a9b3e51
Autor:
Jakub Kudela, Radomil Matousek
Publikováno v:
IEEE Access, Vol 10, Pp 8262-8278 (2022)
Benchmarking plays a crucial role in both development of new optimization methods, and in conducting proper comparisons between already existing methods, particularly in the field of evolutionary computation. In this paper, we develop new benchmark f
Externí odkaz:
https://doaj.org/article/b2ab433aa8bb4d55ad92667314c716b3
Publikováno v:
Mendel, Vol 28, Iss 2 (2022)
Path planning or network route planning problems are an important issue in AI, robotics, or computer games. Appropriate implementation and knowledge of advanced and classical path-planning algorithms can be important for both autonomous navigation sy
Externí odkaz:
https://doaj.org/article/cbc438d2074f4525836d421e4b11f26e
Autor:
Roman Parak, Radomil Matousek
Publikováno v:
Mendel, Vol 27, Iss 1 (2021)
Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) methods are a promising approach to solving complex tasks in the real world with physical robots. In this paper, we compare several reinforcement learning (Q-Learning, SARSA) and deep
Externí odkaz:
https://doaj.org/article/aedd2d339f8543d5b555dc1d755b1b4f
Publikováno v:
Mendel, Vol 24, Iss 2 (2018)
Two-degree-of-freedom controllers have the ability to affect the dynamics of a system when the reference value changes. The answer to the question of parameter tuning for this additional lter still remains unclear we describe a new method for the des
Externí odkaz:
https://doaj.org/article/d8cdeb5a52db4767af68d666f05c3ea7
Autor:
Katerina Mouralova, Pavel Hrabec, Libor Benes, Jan Otoupalik, Josef Bednar, Tomas Prokes, Radomil Matousek
Publikováno v:
Metals, Vol 10, Iss 1, p 92 (2020)
Wire electrical discharge machining is an unconventional machining method for the production of complex-shaped and very precise parts. Because of the high energy consumption of this machining process, it is necessary to maximize the cutting speed for
Externí odkaz:
https://doaj.org/article/d5ade733f81e436c89f196954f386583