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Firefly Algorithm: Enhanced Version with Partial Population Restart Using 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%2F18%3A63517183" target="_blank" >RIV/70883521:28140/18:63517183 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-69814-4_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-69814-4_6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-69814-4_6" target="_blank" >10.1007/978-3-319-69814-4_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Firefly Algorithm: Enhanced Version with Partial Population Restart Using Complex Network Analysis

  • Original language description

    In this paper, we are presenting an interesting method for controlling population diversity of the Firefly Algorithm (FA). Presented method is using the advantages of complex networks and their several characteristics, that can be helpful for the detailed analysis of metaheuristic algorithm inner dynamic. Through this work, we are trying to present a simple workflow for building and analysis of network and the most suitable choices in each step to achieve better results of FA, especially, when focusing on population diversity.

  • 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

    2018

  • 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

    978-331969813-7

  • ISSN

    18761100

  • e-ISSN

    neuvedeno

  • Number of pages

    9

  • Pages from-to

    59-68

  • Publisher name

    Springer Nature

  • Place of publication

    neuveden

  • Event location

    Ho Chi Minh

  • Event date

    Dec 7, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article