Detail publikace

Hardware Utilization of Models of Genetic Algorithms

ŠKORPIL, V. OUJEZSKÝ, V. TULEJA, M.

Originální název

Hardware Utilization of Models of Genetic Algorithms

Anglický název

Hardware Utilization of Models of Genetic Algorithms

Jazyk

en

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.

Anglický 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.

Dokumenty

BibTex


@inproceedings{BUT167265,
  author="Vladislav {Škorpil} and Václav {Oujezský} and Martin {Tuleja}",
  title="Hardware Utilization of Models of Genetic Algorithms",
  annote="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.",
  address="IEEE",
  booktitle="2020 12 the International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  chapter="167265",
  doi="10.1109/ICUMT51630.2020.9222422",
  howpublished="online",
  institution="IEEE",
  year="2020",
  month="october",
  pages="1--5",
  publisher="IEEE",
  type="conference paper"
}