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A Computation Time Comparison of Self-Organising Migrating Algorithm in Java and C

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43869087" target="_blank" >RIV/70883521:28140/12:43869087 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Computation Time Comparison of Self-Organising Migrating Algorithm in Java and C

  • Original language description

    This paper compares implementations of the Self-Organizing Migrating Algorithm (SOMA) algorithm in the C# and Java frameworks. SOMA is a highly effective tool of an evolutionary optimization aimed at the same set of problems as Genetic Algorithms. The asynchronously parallel ´All-to-One´ strategy of SOMA is used to equally distribute computation loads between several available processors/cores. This strategy is implemented in the C# and Java runtime environments to statistically evaluate the computationtime efficiency of these two concurrent frameworks. The results obtained are discussed in the conclusion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

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

Others

  • Publication year

    2012

  • 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 3rd European Conference for the Applied Mathematics and Informatics

  • ISBN

    978-1-61804-148-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    222-227

  • Publisher name

    WSEAS

  • Place of publication

    Montreux

  • Event location

    Montreux

  • Event date

    Dec 29, 2012

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article