Publication detail

Hardware Utilization of Models of Genetic Algorithms

ŠKORPIL, V. OUJEZSKÝ, V. TULEJA, M.

Original Title

Hardware Utilization of Models of Genetic Algorithms

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

ŠKORPIL, V.; OUJEZSKÝ, V.; TULEJA, M.

Released

5. 10. 2020

Publisher

IEEE

Location

Online

ISBN

978-1-7281-9281-9

Book

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

Pages from

1

Pages to

5

Pages count

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"
}