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Redundant binary representations with rigorous trade-off between connectivity and locality

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10418933" target="_blank" >RIV/00216208:11320/20:10418933 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/3377929.3389992" target="_blank" >https://doi.org/10.1145/3377929.3389992</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3377929.3389992" target="_blank" >10.1145/3377929.3389992</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Redundant binary representations with rigorous trade-off between connectivity and locality

  • Original language description

    We design a general mathematical framework of redundant binary representations that are easy to apply for evolutionary algorithms and are efficient with respect to several measures such as synonymity, connectivity, and locality. The proposed representations are easy to scale for any problem dimension and any level of neutrality, and they can exhibit different values of connectivity and locality.

  • 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

    <a href="/en/project/GA19-08554S" target="_blank" >GA19-08554S: Structures and algorithms in highly symmetric graphs</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • 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 2020 Genetic and Evolutionary Computation Conference Companion

  • ISBN

    978-1-4503-7127-8

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    325-326

  • Publisher name

    Association for Computing Machinery, Inc

  • Place of publication

    Neuveden.

  • Event location

    Cancún, Mexico

  • Event date

    Jul 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article