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Competitive evaluation of selected evolutionary algorithms and SOMA

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869756" target="_blank" >RIV/70883521:28140/13:43869756 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Competitive evaluation of selected evolutionary algorithms and SOMA

  • Original language description

    In this paper three evolutionary algorithms are compared, in particular, of the Self-Organizing Migration Algorithm (SOMA) as a most important one is put into the contrast with Differential Evolution (DE) and Particle Swarm Optimization (PSO). In order to compare performances of the above-mentioned algorithms, selected objective functions have been tested. In total 15 different benchmark functions were used and each considered algorithm was employed 100 times on each one producing 4500 set experimentalruns. Acquired results were then statistically evaluated and compared. The paper also describes individual parameters, strategies, and some of the termination criteria of the algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • 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)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Mathematics and Computers in Simulations

  • ISSN

    1998-0159

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

    42-49

  • UT code for WoS article

  • EID of the result in the Scopus database