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Differential Evolution Dynamics Modeled by Longitudinal Social Network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100219" target="_blank" >RIV/61989100:27240/16:86100219 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1515/jisys-2015-0140" target="_blank" >http://dx.doi.org/10.1515/jisys-2015-0140</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/jisys-2015-0140" target="_blank" >10.1515/jisys-2015-0140</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Differential Evolution Dynamics Modeled by Longitudinal Social Network

  • Original language description

    Differential evolution is a population-based algorithm using Darwinian and Mendel principles to find out an optimal solution of difficult problems. In this work, the dynamics of DE algorithm is modeled by a longitudinal social network. Because a population of the DE algorithm is improved in generations, each generation of DE algorithm is represented by one short-interval network. Each short-interval network is created by individuals contributing to the population improvement. On the basis of this model a new parent selection in the mutation operation is presented and well-known benchmark set CEC 2013 Special Session on Real-Parameter Optimization (including 28 functions) is used to evaluate the performance of the proposed algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Intelligent Systems

  • ISSN

    0334-1860

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    Červen 2016

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    9

  • Pages from-to

    1-9

  • UT code for WoS article

  • EID of the result in the Scopus database