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Analysis of Fitness Function of 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%3A43925886" target="_blank" >RIV/49777513:23520/15:43925886 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Fitness Function of Genetic Algorithm for Road Traffic Network Division

  • Original language description

    In this paper, the analysis of the fitness function of a genetic algorithm is discussed. This genetic algorithm is used by a method for the road traffic network division. The division of the road traffic network into a number of sub-networks is a part ofnecessary preparations for a distributed road traffic simulation. The fitness function consists of two parts reflecting two important issues of the road traffic network division - the load-balancing of the resulting sub-networks and the minimization ofthe number of divided traffic lanes. During the optimization and refactoring of the division method, it was discovered that the fitness function of the genetic algorithm is flawed, but gives better results than a new (repaired) fitness function. Hence, the working of the original fitness function was analyzed and the new fitness function was adjusted to give similar or better results than the original fitness function.

  • 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

    7

  • Pages from-to

    40-46

  • 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