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Comparison of 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%2F19%3APU134022" target="_blank" >RIV/00216305:26220/19:PU134022 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8970944" target="_blank" >https://ieeexplore.ieee.org/document/8970944</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICUMT48472.2019.8970944" target="_blank" >10.1109/ICUMT48472.2019.8970944</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Models of Parallelized Genetic Algorithms

  • Original language description

    The aim of the paper is to describe the most widely used methods of parallelization of GA genetic algorithms and subsequently to use the outputs of the theoretical part for the design of implementation. Python was chosen as the implementation language, so the design is implemented with this language in mind. Selected problems of sequential GA are described in the theoretical part of the paper. Optimization problems and parallel models are described. They are the Global One - Population Master-Slave Model, the One-Population Fine-Grained Model, the Multi-Population Coarse-Grained Model, and the Hierarchical Model. The practical part deals with the design and implementation of parallelized GA.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • 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 11th IEEE International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2019)

  • ISBN

    978-1-7281-5763-4

  • ISSN

    2157-023X

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    IEEE

  • Place of publication

    Dublin, Irsko

  • Event location

    Dublin

  • Event date

    Oct 28, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000540651700057