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Feasibility Study of Optimization of a Genetic Algorithm for Traffic Network Division for Distributed Road Traffic Simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919704" target="_blank" >RIV/49777513:23520/13:43919704 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Feasibility Study of Optimization of a Genetic Algorithm for Traffic Network Division for Distributed Road Traffic Simulation

  • Original language description

    This paper deals with optimization of a genetic algorithm for road traffic network division for distributed road traffic simulation, which we developed. Two approaches for finding of optimal setting of the genetic algorithm are considered ? an optimizinggenetic algorithm and a systematic testing of possible settings. Since both approaches are expected to be extremely computation-consuming, their distributed versions are proposed and a feasibility study is evaluated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    6th International Conference on Human System Interaction HSI 2013

  • ISBN

    978-1-4673-5637-4

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1-8

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Sopoty

  • Event date

    Jun 6, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article