Zobrazeno 1 - 10
of 1 667
pro vyhledávání: '"Kudela, P"'
In this work, a novel approach for the detection and localisation of nonlinear guided waves often associated with the presence of damage in structural components is proposed. The method is active and consists of a piezoelectric transducer bonded to t
Externí odkaz:
http://arxiv.org/abs/2406.17370
Autor:
Kudela, Jakub, Dobrovsky, Ladislav
Surrogate-assisted evolutionary algorithms (SAEAs) are recently among the most widely studied methods for their capability to solve expensive real-world optimization problems. However, the development of new methods and benchmarking with other techni
Externí odkaz:
http://arxiv.org/abs/2402.16455
Autor:
Kudela, Jakub, Juricek, Martin
The GKLS generator is one of the most used testbeds for benchmarking global optimization algorithms. In this paper, we conduct both a computational analysis and the Exploratory Landscape Analysis (ELA) of the GKLS generator. We utilize both canonical
Externí odkaz:
http://arxiv.org/abs/2304.08913
Autor:
Kudela, Jakub
The center-bias (or zero-bias) operator has recently been identified as one of the problems plaguing the benchmarking of evolutionary computation methods. This operator lets the methods that utilize it easily optimize functions that have their respec
Externí odkaz:
http://arxiv.org/abs/2301.01984
Autor:
Kudela, Jakub
In the field of derivative-free optimization, both of its main branches, the deterministic and nature-inspired techniques, experienced in recent years substantial advancement. In this paper, we provide an extensive computational comparison of selecte
Externí odkaz:
http://arxiv.org/abs/2212.06875
Autor:
M. Dugenne, M. Corrales-Ugalde, J. Y. Luo, R. Kiko, T. D. O'Brien, J.-O. Irisson, F. Lombard, L. Stemmann, C. Stock, C. R. Anderson, M. Babin, N. Bhairy, S. Bonnet, F. Carlotti, A. Cornils, E. T. Crockford, P. Daniel, C. Desnos, L. Drago, A. Elineau, A. Fischer, N. Grandrémy, P.-L. Grondin, L. Guidi, C. Guieu, H. Hauss, K. Hayashi, J. A. Huggett, L. Jalabert, L. Karp-Boss, K. M. Kenitz, R. M. Kudela, M. Lescot, C. Marec, A. McDonnell, Z. Mériguet, B. Niehoff, M. Noyon, T. Panaïotis, E. Peacock, M. Picheral, E. Riquier, C. Roesler, J.-B. Romagnan, H. M. Sosik, G. Spencer, J. Taucher, C. Tilliette, M. Vilain
Publikováno v:
Earth System Science Data, Vol 16, Pp 2971-2999 (2024)
In marine ecosystems, most physiological, ecological, or physical processes are size dependent. These include metabolic rates, the uptake of carbon and other nutrients, swimming and sinking velocities, and trophic interactions, which eventually deter
Externí odkaz:
https://doaj.org/article/468043e78107403f870608f0951a28b2
Autor:
Charlotte A. Eckmann, Charles Bachy, Fabian Wittmers, Jan Strauss, Leocadio Blanco-Bercial, Kevin L. Vergin, Rachel J. Parsons, Raphael M. Kudela, Rod Johnson, Luis M. Bolaños, Stephen J. Giovannoni, Craig A. Carlson, Alexandra Z. Worden
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-15 (2024)
Abstract Ocean spring phytoplankton blooms are dynamic periods important to global primary production. We document vertical patterns of a diverse suite of eukaryotic algae, the prasinophytes, in the North Atlantic Subtropical Gyre with monthly sampli
Externí odkaz:
https://doaj.org/article/dc4341c2a49644e190f9b9d8affbc296
Publikováno v:
In Composite Structures January 2025 353
Combining Lipschitz and RBF Surrogate Models for High-dimensional Computationally Expensive Problems
Autor:
Kudela, Jakub, Matousek, Radomil
Publikováno v:
Information Sciences, Volume 619, January 2023, Pages 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:
http://arxiv.org/abs/2204.14236
Autor:
Alena Mazurakova, Lenka Koklesova, Sandra Hurta Csizmár, Marek Samec, Aranka Brockmueller, Miroslava Šudomová, Kamil Biringer, Erik Kudela, Martin Pec, Samson Mathews Samuel, Monika Kassayova, Sherif T.S. Hassan, Karel Smejkal, Mehdi Shakibaei, Dietrich Büsselberg, Luciano Saso, Peter Kubatka, Olga Golubnitschaja
Publikováno v:
Journal of Advanced Research, Vol 55, Iss , Pp 103-118 (2024)
Background: Cancer management faces multiple obstacles, including resistance to current therapeutic approaches. In the face of challenging microenvironments, cancer cells adapt metabolically to maintain their supply of energy and precursor molecules
Externí odkaz:
https://doaj.org/article/8d1874c70909462aa7839fd64043bac5