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Sparsely Synchronized Parallel Genetic Algorithm for Road Traffic Network Division

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925888" target="_blank" >RIV/49777513:23520/15:43925888 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sparsely Synchronized Parallel Genetic Algorithm for Road Traffic Network Division

  • Original language description

    In this paper, we explore the features of the sparsely synchronized parallel genetic algorithm for the road traffic network division. The algorithm is an alternative to a commonly used island model for the parallelization of the genetic algorithms. The algorithm employs the parallelization of particular phases of the genetic algorithm (fitness values calculation, crossover, etc.). However, the threads of the genetic algorithm are not synchronized in every generation, but rather only once per several generations or even not at all. The lack of the synchronization leads to the inconsistencies in the shared memory, which does not have to be a problem considering the stochastic nature of the genetic algorithms. The investigation of the features and usability of the sparse synchronization of the parallel genetic algorithm (with application for the road traffic network division) is the main theme of this paper.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    USB Proceedings 2015 8th International Conference on Human System Interaction (HSI)

  • ISBN

    978-1-4673-6935-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    129-134

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Varšava

  • Event date

    Jun 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article