Detail publikace

Hardware Utilization of Models of Genetic Algorithms

ŠKORPIL, V. OUJEZSKÝ, V. TULEJA, M.

Originální název

Hardware Utilization of Models of Genetic Algorithms

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper compares the models of Genetic Algorithms (GA). It is focused on parallelized genetic algorithms, namely on the models of Master-Slave GA, Coarse- Grained GA, and Fine-Grained GA. The obtained results were compared with a serial model. A main memory usage comparison and a Central Processor Unit (CPU) comparison were performed. Furthermore, the parallelization module was verified on several workstations and the testing was evaluated. As expected, the serial model had the lowest main memory requirements. For parallelized models with increasing population size, main memory usage also increased.

Klíčová slova

Central Processor Unit; Coarse-Grained; Fine- Grained; main memory; parallelized genetic algorithms

Autoři

ŠKORPIL, V.; OUJEZSKÝ, V.; TULEJA, M.

Vydáno

5. 10. 2020

Nakladatel

IEEE

Místo

Online

ISBN

978-1-7281-9281-9

Kniha

2020 12 the International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Strany od

1

Strany do

5

Strany počet

5

URL

https://ieeexplore.ieee.org/document/9222422

BibTex

@inproceedings{BUT167265,
  author="Vladislav {Škorpil} and Václav {Oujezský} and Martin {Tuleja}",
  title="Hardware Utilization of Models of Genetic Algorithms",
  booktitle="2020 12 the International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  year="2020",
  pages="1--5",
  publisher="IEEE",
  address="Online",
  doi="10.1109/ICUMT51630.2020.9222422",
  isbn="978-1-7281-9281-9",
  url="https://ieeexplore.ieee.org/document/9222422"
}