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Parallel Migration Models Applied to Competitive Differential Evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA12013DZ" target="_blank" >RIV/61988987:17310/11:A12013DZ - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parallel Migration Models Applied to Competitive Differential Evolution

  • Original language description

    The influence of parallelism on the performance of competitive adaptive differential evolution is studied. Two serial competitive differential evolution variants described in literature and sixteen novel parallel variants were experimentally compared. All the parallel differential evolution variants in this study are based on a migration model with the star topology. The algorithms were compared on six benchmark functions with two levels of dimension (D = 10 and D = 30). The number of the function evaluations and the reliability rate of the search were used as basic characteristics of algorithm?s performance. The experimental results show that the parallelism applied to competitive differential evolution together with a proper setting of the parameterscontrolling the parallel model can improve the performance of the algorithm and decrease the computational costs significantly at least in some problems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

  • ISBN

    978-0-7695-4630-8

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    306-313

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos

  • Event location

    Timisoara, Romania

  • Event date

    Sep 26, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article