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PSO with Partial Population Restart Based on Complex Network Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517154" target="_blank" >RIV/70883521:28140/17:63517154 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/17:10238518 RIV/61989100:27740/17:10238518

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-59650-1_16" target="_blank" >10.1007/978-3-319-59650-1_16</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    PSO with Partial Population Restart Based on Complex Network Analysis

  • Original language description

    This study presents a hybridization of Particle Swarm Optimization with a complex network creation and analysis. A partial population is performed in certain moments of the run of the algorithm based on the information ob-tained from a complex network structure that represents the communication in the population. We present initial results alongside statistical evaluation and discuss future possibilities of this approach.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • ISBN

    978-3-319-59649-5

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    183-192

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • Event location

    La Rioja

  • Event date

    Jun 21, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article