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On the self-organizing migrating algorithm comparison by means of centrality measures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244249" target="_blank" >RIV/61989100:27240/20:10244249 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-14907-9_33" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14907-9_33</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-14907-9_33" target="_blank" >10.1007/978-3-030-14907-9_33</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the self-organizing migrating algorithm comparison by means of centrality measures

  • Original language description

    In this article we continue in our research which combines three different areas - swarm and evolutionary algorithms, networks and coupled map lattices control. Main aim of this article is to compare networks obtained from best and worst self-organizing migrating algorithm runs. All experiments were done on well known CEC 2014 benchmark functions. For each selected function we picked 30 best and 30 worst runs, converted each run into a network, counted selected properties and compared the results. All obtained results are reported in this article. (C) Springer Nature Switzerland AG 2020.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Electrical Engineering

  • ISBN

    978-3-030-14906-2

  • ISSN

    1876-1100

  • e-ISSN

    1876-1119

  • Number of pages

    9

  • Pages from-to

    335-343

  • Publisher name

    Springer Verlag

  • Place of publication

    Cham

  • Event location

    Ostrava

  • Event date

    Sep 11, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article