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Improvement of SOMA Algorithm Using Complex Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10237792" target="_blank" >RIV/61989100:27240/17:10237792 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/17:10237792

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-662-55663-4_6" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-662-55663-4_6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-662-55663-4_6" target="_blank" >10.1007/978-3-662-55663-4_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improvement of SOMA Algorithm Using Complex Networks

  • Original language description

    In this chapter, we focus on improvement of SOMA algorithm based on the previous analysis. We show some possibilities how to improve SOMA algorithm according to complex network analysis. At the end of the chapter, we show the best possible option how to improve standard SOMA algorithm together with results of a statistical test. Proposed improvements can be made (in principle) on arbitrary algorithm, SOMA here is used only for demonstrative purposes.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Evolutionary Algorithms, Swarm Dynamics and Complex Networks

  • ISBN

    978-3-662-55661-0

  • Number of pages of the result

    13

  • Pages from-to

    131-143

  • Number of pages of the book

    312

  • Publisher name

    Springer-Verlag Berlin Heidelberg

  • Place of publication

    Berlin

  • UT code for WoS chapter