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Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F14%3A86092634" target="_blank" >RIV/61989100:27740/14:86092634 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/14:86092634

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CEC.2014.6900441" target="_blank" >http://dx.doi.org/10.1109/CEC.2014.6900441</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CEC.2014.6900441" target="_blank" >10.1109/CEC.2014.6900441</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures

  • Original language description

    In this participation, we are continuing to show mutual intersection of two completely different areas of research: complex networks and evolutionary computation. Large-scale networks, exhibiting complex patterns of interaction amongst vertices exist inboth nature and man-made systems (i.e., com- munication networks, genetic pathways, ecological or economical networks, social networks, networks of various scientific collabo- ration etc.) and are a part of our daily life. We demonstrate that dynamics ofevolutionary algorithms, that are based on Darwin theory of evolution and Mendel theory of genetic heritage, can be also visualized as complex networks. Such network can be then analyzed by means of classical tools of complex networks science. Results presented here are currently numerical demonstration rather than theoretical mathematical proofs. We open question whether evolutionary algorithms really create complex network structures and whether this knowledge can be successfully used

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

  • ISBN

    978-1-4799-1488-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    3246 - 3251

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    New York

  • Event location

    Beijing

  • Event date

    Jul 6, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article