Hardware Utilization of Models of Genetic Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU138165" target="_blank" >RIV/00216305:26220/20:PU138165 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9222422" target="_blank" >https://ieeexplore.ieee.org/document/9222422</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT51630.2020.9222422" target="_blank" >10.1109/ICUMT51630.2020.9222422</a>
Alternative languages
Result language
angličtina
Original language name
Hardware Utilization of Models of Genetic Algorithms
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/VI20192022135" target="_blank" >VI20192022135: Deep hardware detection of network traffic of next generation passive optical network in critical infrastructures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 12 the International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
ISBN
978-1-7281-9281-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Online
Event location
Online
Event date
Oct 5, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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