Testing of Python Models of Parallelized Genetic Algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU138162" target="_blank" >RIV/00216305:26220/20:PU138162 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9163475" target="_blank" >https://ieeexplore.ieee.org/document/9163475</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP49548.2020.9163475" target="_blank" >10.1109/TSP49548.2020.9163475</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Testing of Python Models of Parallelized Genetic Algorithms

Popis výsledku v původním jazyce

The paper describes the testing of three models (master slave, fine-grained, and coarse grained) of parallelized genetic algorithms and the comparison of their computational time with each other and with the basic serial model. The analysis of the number of iterations, the load of the main memory and the central processing unit is the subject of other contributions. Corresponding Python modules have been implemented for these models. A test scenario and a test environment were prepared. Testing was realized on a Linux server with the Ubuntu operating system. A RabbitMQ server creating processes by the SCOOP module on the selected workstation was used. Models have been tested by a single-workstation and multi-workstation scenarios. The tested models bring time savings and efficiency improvement compared to the serial model; the fastest was the fine-grained model.

Název v anglickém jazyce

Testing of Python Models of Parallelized Genetic Algorithms

Popis výsledku anglicky

The paper describes the testing of three models (master slave, fine-grained, and coarse grained) of parallelized genetic algorithms and the comparison of their computational time with each other and with the basic serial model. The analysis of the number of iterations, the load of the main memory and the central processing unit is the subject of other contributions. Corresponding Python modules have been implemented for these models. A test scenario and a test environment were prepared. Testing was realized on a Linux server with the Ubuntu operating system. A RabbitMQ server creating processes by the SCOOP module on the selected workstation was used. Models have been tested by a single-workstation and multi-workstation scenarios. The tested models bring time savings and efficiency improvement compared to the serial model; the fastest was the fine-grained model.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/VI20192022135" target="_blank" >VI20192022135: Hloubková hardwarová detekce síťového provozu pasivních optických sítí nové generace v kritických infrastrukturách</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 43 rd International Conference on Telecommunications and Signal Processing

ISBN

978-1-7281-6376-5

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

235-238

Název nakladatele

IEEE

Místo vydání

Milan, Italy

Místo konání akce

Milan, Italy

Datum konání akce

7. 7. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000577106400051