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Exploring the Shortest Path in PSO Communication Network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517158" target="_blank" >RIV/70883521:28140/17:63517158 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploring the Shortest Path in PSO Communication Network

  • Original language description

    In the recent years, complex networks and other network structures were successfully combined with various evolutionary computational techniques (ECTs) to improve the performance of ECTs. In this paper, we explore the attributes of the shortest path in communication network created by the particle swarm optimization algorithm and elaborate about possible uses of the knowledge gained from the analysis of the shortest path. We present the results of one thousand repeated runs over four well-known benchmark functions. We discuss the possible correlations of attributes of the shortest path and the solution quality and fitness landscape complexity.

  • 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

    2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings

  • ISBN

    978-1-5386-2725-9

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    1494-1499

  • Publisher name

    IEEE

  • Place of publication

    New Jersey, Piscataway

  • Event location

    Honolulu, Hawai

  • Event date

    Nov 27, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article