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PSO with Attractive Search Space Border Points

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517156" target="_blank" >RIV/70883521:28140/17:63517156 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-59060-8_60" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-59060-8_60</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-59060-8_60" target="_blank" >10.1007/978-3-319-59060-8_60</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    PSO with Attractive Search Space Border Points

  • Original language description

    One of the biggest drawbacks of the original Particle Swarm Optimization is the premature convergence and fast loss of diversity in the population. In this paper, we propose and discuss a simple yet effective modification to help the PSO maintain diversity and avoid premature convergence. The particles are randomly attracted towards the border points of the search space. We use the CEC´13 Benchmark function set to test the performance of proposed method and compare it to original PSO.

  • 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

    978-3-319-59059-2

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    11

  • Pages from-to

    665-675

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • Event location

    Zakopane

  • Event date

    Jun 11, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426206100060