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On Analysis and Performance Improvement of Evolutionary Algorithms Based on its Complex Network Structure A Summary Overview

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096908" target="_blank" >RIV/61989100:27240/15:86096908 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-27060-9_32" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-27060-9_32</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-27060-9_32" target="_blank" >10.1007/978-3-319-27060-9_32</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Analysis and Performance Improvement of Evolutionary Algorithms Based on its Complex Network Structure A Summary Overview

  • Original language description

    In this participation there is sketched and explained mutual intersection between complex networks and evolutionary computation including summarization of our previous results. It is sketched how dynamics of evolutionary algorithm can be converted into acomplex network and based on its properties like degree centrality etc. can be improved performance of used evolutionary algorithm. Results presented here are currently numerical demonstration rather than theoretical mathematical proofs. Paper discussesresults from differential evolution, self-organizing migrating algorithm, genetic algorithms and artificial bee colony. We open question whether evolutionary algorithms really create complex network structures and whether this knowledge can be successfully used like feedback for control of evolutionary dynamics and its improvement in order to increase the performance of evolutionary algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • 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. Volume 9413

  • ISBN

    978-3-319-27059-3

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    389-400

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Morelos

  • Event date

    Oct 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000367681700032