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pro vyhledávání: '"Pilát, Martin"'
Autor:
Kadlecová, Gabriela, Lukasik, Jovita, Pilát, Martin, Vidnerová, Petra, Safari, Mahmoud, Neruda, Roman, Hutter, Frank
Performance prediction has been a key part of the neural architecture search (NAS) process, allowing to speed up NAS algorithms by avoiding resource-consuming network training. Although many performance predictors correlate well with ground truth per
Externí odkaz:
http://arxiv.org/abs/2404.16551
Autor:
Macková, Kateřina, Pilát, Martin
The goal of product mapping is to decide, whether two listings from two different e-shops describe the same products. Existing datasets of matching and non-matching pairs of products, however, often suffer from incomplete product information or conta
Externí odkaz:
http://arxiv.org/abs/2309.06882
Autor:
Pilát, Martin
The problem of coordinating the charging of electric vehicles gains more importance as the number of such vehicles grows. In this paper, we develop a method for the training of controllers for the coordination of EV charging. In contrast to most exis
Externí odkaz:
http://arxiv.org/abs/2107.10111
Akademický článek
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Autor:
Balcar, Štěpán, Pilát, Martin
We present an online parallel portfolio selection algorithm based on the island model commonly used for parallelization of evolutionary algorithms. In our case each of the islands runs a different optimization algorithm. The distributed computation i
Externí odkaz:
http://arxiv.org/abs/1806.04528
Autor:
Pilát, Martin
We propose and evaluate controllers for the coordination of the charging of electric vehicles. The controllers are based on neural networks and are completely de-centralized, in the sense that the charging current is completely decided by the control
Externí odkaz:
http://arxiv.org/abs/1804.05978
Autor:
Pilát, Martin
Multi-objective evolutionary algorithms have gained a lot of atten- tion in the recent years. They have proven to be among the best multi-objective optimizers and have been used in many industrial ap- plications. However, their usability is hindered
Externí odkaz:
http://www.nusl.cz/ntk/nusl-322212
Autor:
Pilát, Martin
In the present work we study the options for parallelization of evolutionary algorithms for multiobjective optimization (MOGA). We provide the overview of existing sequential and parallel MOGAs and we propose three other methods: FCMOGA - MOGA with f
Externí odkaz:
http://www.nusl.cz/ntk/nusl-275246
Autor:
Chrpa, Lukáš1 (AUTHOR) chrpaluk@fel.cvut.cz, Pilát, Martin2 (AUTHOR), Gemrot, Jakub2 (AUTHOR)
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. Dec2022, Vol. 34 Issue 6, p925-948. 24p.
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07002 (2020)
With the explosion of the number of distributed applications, a new dynamic server environment emerged grouping servers into clusters, utilization of which depends on the current demand for the application. To provide reliable and smooth services it
Externí odkaz:
https://doaj.org/article/6ccf437bfe904b76af3f47841893b4a1