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Testing of Python Models of Parallelized 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%3APU138162" target="_blank" >RIV/00216305:26220/20:PU138162 - isvavai.cz</a>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing of Python Models of Parallelized Genetic Algorithms

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

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

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

  • ISBN

    978-1-7281-6376-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    235-238

  • Publisher name

    IEEE

  • Place of publication

    Milan, Italy

  • Event location

    Milan, Italy

  • Event date

    Jul 7, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000577106400051